\n💡 CryptoQuant operates an easy and standardized Web3 data analysis service to provide institutional and retail investors in 150 countries around the world with the data analysis tools necessary for investing in Web3 assets.\n\nCryptoQuant Tech team collects, processes, and analyzes data on transactions of blockchain assets such as BTC and ETH, as well as various types of financial activities (e.g., DeFi) that take place on the blockchain, and makes it easy for investors to understand the data.\n\nWe are looking for a data engineer who wants to work with a large amount of real-time blockchain transaction data and experience the fascination of blockchain data at a deeper level than anyone else.\n\n\n \nRoles & Responsibilities\n\n* Develop data pipelines to collect and process blockchain data\n* Extract raw data from various data sources\n\n* Build data pipelines to process and load data\n\n* Manage cloud infrastructure for data pipeline operation\n\n* Develop CI/CD and monitoring system for building automated pipelines\n\n\n\n\n* Build a data warehouse for blockchain data analysis\n* Develop blockchain domain data mart\n\n* data quality management such as data consistency verification\n\n\n\n\n* Possible data engineering works are the following:\n* Build data pipeline of Bitcoin / EVM (e.g. Ethereum) / Non-EVM series blockchains\n\n* develop blockchain data analysis data mart\n\n* develop data API for serving blockchain data\n\n\n\n\n\n\nWhile carrying out these tasks, you can expect the following growth\n\n* You can accumulate experience in operating large-scale data warehouses while developing TB-scale or greater web3 data.\n\n* You can directly participate in the design and implementation of large-scale parallel processing and efficient workflow design while designing high throughput batch processing and low latency real-time streaming ETL infrastructure.\n\n* You can quickly increase your overall understanding of the crypto and web3 ecosystem by collaborating with global leading web3 data scientists and analysts.\n\n* With a customer-centric mindset, you can actively execute projects with project ownership.\n\n Requirements\n\n\n* Fits well with CryptoQuant culture. (https://bit.ly/3r4TH1v)\n\n* Experience with data processing using Python, SQL.\n\n* Experience with workflow management platforms (e.g. Apache Airflow)\n\n* Experience building and operating data marts for various purposes\n\n* Experience with Docker Containers or Kubernetes\n\n* Experience in building CI / CD\n\n* Experience with Git / GitHub\n\n* Experience with Python web frameworks (e.g. Flask, FastAPI)\n\n\n Nice to have\n\n\n* Experience in designing, building, and operating real-time data processing (e.g. Kafka) or micro-batch data processing pipelines in a lead role\n\n* Experience building, developing, and operating Kubernetes clusters at work\n\n* Experience working with data warehousing solutions (e.g. Hadoop, Spark)\n\n* Experience working with data discovery platforms (e.g DataHub, Amundsen)\n\n* At least 3 years of relevant experience with RDB, NoSQL, etc.\n\n* Experience in using and managing cloud services (e.g. AWS, GCP) / data platform (e.g. Snowflake)\n\n* Knowledge of various blockchain concepts and structures\n\n* Experience with blockchain node (e.g. Bitcoin, Ethereum) operations or on-chain data\n\n* Strong communication skills and good written and spoken English ability.\n\n\n Work location and working hours\n\nLocation: Remote\n\nWorking hours: 40 Hours per week (required for 1~3 core hours for collaboration)\n\n \nHiring Process\n\nReview application > Take Home Assignment > Technical Interview > Cultural-fit Interview > Reference check > Job offer > Hiring\n\n \n\nOther Notices\n\n\n* Individual notifications regarding the results of each stage and interview schedule will be sent via email.\n\n* Results of document submissions will be communicated within a week after submission.\n* If there is any delay compared to the results announced in the advertisement, we will also contact you individually.\n\n\n\n\n* Pre-tasks will be notified through a passing email upon document approval and must be submitted within 7 days.\n\n* Procedures following the pre-tasks will be conducted through schedule coordination.\n\n* Job interviews will be based on the information provided in your submitted documents and the results of pre-tasks.\n\n* Cultural fit interviews are interviews to assess the cultural fit of applicants based on the corporate culture of Cryptoquant.\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Web3, Design, Crypto, Python, Docker, Cloud, Git, Node, API and Engineer jobs that are similar:\n\n $72,500 — $117,500/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nWorldwide

About Phaidra\n\nPhaidra is building the future of industrial automation.\n\nThe world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades.\n\nPhaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically:\n\n\n* We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions.\n\n* We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning.\n\n* We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them.\n\n\n\n\nOur team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with DeepMind's AlphaGo, to reducing the energy required to cool Google's Data Centers by 40%, we deeply understand AI and how to apply it in production for massive impact.\n\nPhaidra is based in the USA but 100% remote; we do not have a physical office. We hire employees internationally with the help of our partner, OysterHR. Our team is currently located throughout the USA, Canada, UK, Norway, Italy, Spain, Portugal, and India.\n\n**Please only apply to one opening. If you are a better fit for another opening, our team will move your application. Candidates who apply to multiple openings will not be considered.**\nWho You Are\n\nWe are looking for a very experienced Software Engineer with a focus on MLOps tech leadership to be a part of our growing AI Platform team. You are bold and creative, and have deep empathy for customers. You will design and implement significant parts of the code base and will have the opportunity to make an immediate impact with your work and guide the product and team as we grow.\n\nYou are curious and like to understand technologies and their tradeoffs in depth - providing technical guidance to the team and peers as and when required. Leading by example, you have accumulated a wealth of insights and experiences from your hands-on involvement in the field, and you are committed to rolling up your sleeves and getting work done. You like joining and supporting other engineers in their work to learn from them as well as letting them benefit from your expertise and experience.\n\nYou have the motivation and skills to identify technical product needs, initiate projects and owning their delivery, including the involvement of engineering peers as needed. You are comfortable with challenging the status quo respectfully to drive and deliver technical excellence in the team.\n\n\n* We are seeking a team member located within one of the following areas: USA/Canada/UK/EU\n\n\n\nResponsibilities\n\nThe AI Platform team you are joining is responsible for building the core platform that powers model training, inference and decision making in our products. Furthermore the team owns MLOps and the services hosting our AI capabilities. Productionizing results from Research, as well as extending our systems and providing support according to our customer needs fall into team responsibilities as well. You will join this team as a very experienced engineer with a focus on MLOps solutions to grow our expertise in that area, but also contribute as a software engineer more widely in the team.\n\nAs an organization, we strongly believe in expertise across the stack. As such, you will experience flavors of Machine Learning, Software Engineering, Distributed Systems, MLOps and DevOps.\n\nIn particular, you will:\n\n\n* Design, build and lead the MLOps initiatives and vision for the AI Platform to strengthen automation, orchestration, versioning, observability, monitoring and collaboration for the platform.\n\n* Build and design scalable components for the AI Platform to allow high throughput training and inference for RL agents doing realtime inference for autonomous control of industrial systems.\n\n* Contribute to the design and implementation of the product backend by writing REST & gRPC API services and scalable event-driven backend applications.\n\n* Design clear, extensible software interfaces for the team's customers and maintain a high release quality bar.\n\n* Perform DevOps duties of CI/CD, Release & Deployment management.\n\n* Be a part of our global production oncall team and, own & operate your services in production, meeting Phaidra’s high bar for operational excellence.\n\n* Lead cross-functional initiatives collaborating with engineers, product managers and TPM across teams.\n\n* Mentor your peers and be a technical role-model in the team.\n\n\n\nOnboarding\n\nIn your first 30 days…\n\n\n* You will be immersed in an onboarding program that introduces you to Phaidra and our product.\n\n* You will spend time in the Engineering org, learning how the teams operate, interact, and approach problems.\n\n* You will read various parts of our handbook and familiarize yourself with the documentation culture at Phaidra.\n\n* You will set up your development environment and start working on an onboarding exercise that will introduce you to various parts of our code base.\n\n* You will learn about how we use agile and be able to navigate our sprint boards and backlogs.\n\n* You will learn about various team standards and development & release processes.\n\n* You will start to learn about our system architecture and infrastructure.\n\n* You will start picking up few good “first-tasks” to get yourself accustomed to the end to end release flow.\n\n\n\n\nIn your first 60 days…\n\n\n* You will get a solid understanding of what Phaidra does and how we do it.\n\n* You will meet with team members across Phaidra and started building relationships that will help you be successful at your job.\n\n* You will complete the onboarding exercise and will be on your way to completing your first production task.\n\n* You will take ownership for the MLOps work on the team, identify gaps and propose roadmap items on the topic.\n\n\n\n\nIn your first 90 days…\n\n\n* You will be fully integrated in the team and with team members across the company.\n\n* You will have a more in-depth understanding of our system architecture and infrastructure.\n\n* You will complete your first on-call experience helping monitor and improve our production environments.\n\n* You will become an expert with our tooling.\n\n* You will start to contribute to knowledge sharing throughout Phaidra and the team.\n\n* You will take proactively drive MLOps topics in the team and represent it technically throughout the company.\n\n\n\nKey Qualifications\n\n\n* 10+ years of work experience.\n\n* Proven record on impact as a Tech Leader and bar-raiser for ambitious Software Engineering teams\n\n* Strong experience on designing and implementing MLOps solutions for AI production systems\n\n* Extensive experience with platform Software Engineering with the ability to contribute on all levels as an individual contributor and tech leader\n\n* Strong expertise on building, operating and monitoring large scale multi-tenant systems with high availability, fault tolerance, performance tuning, monitoring, and metrics collection\n\n* Ability to take ownership of realtime production systems - aligning technical with business requirements, raising the bar for operational excellence and on-call incident handling\n\n* Strong expertise in Python and Cloud environments\n\n* Very good grasp of Machine Learning (especially Deep Learning) fundamentals\n\n* Ability to collaborate and communicate effectively in an all-remote setting\n\n* Doing your work with curiosity, ownership, transparency & directness, outcome orientation, and customer empathy.\n\n\n\nBonus\n\n\n* Experience with building applications that can be deployed in cloud, as well as in hybrid or on-prem environment\n\n* Exposure to Reinforcement Learning or other in-depth knowledge on modern ML applications\n\n* Experience with industrial applications, industrial control systems, IoT, sensor time series applications, or similar\n\n\n\nRelevant Technologies from our Stack\n\n\n* Python, Go\n\n* PyTorch, PyTorch Lightning\n\n* Ray.io, Prefect, mlflow\n\n* REST & gRPC micro-services\n\n* Docker, Kubernetes, Terraform & Kapitan\n\n* GCP - GKE, PubSub, CloudSQL, BigTable, Postgres, etc.\n\n* Grafana Cloud, Prometheus\n\n* Poetry, Pants\n\n* Gitlab CI, ArgoCD, Atlantis\n\n\n\nGeneral Interview Process\n\nAll of our interviews are held via Google Meet, and an active camera connection is required.\n\n* \n\nMeeting with Operations (30 minutes): The purpose of this interview is to meet you, learn more about your background, discuss what you are looking for in a new position and cover formalities around your application.\n\n\n* \n\nTech Lead interview (60 minutes): This interview is a combination of technical and cultural fit assessment. We will cover your technical experience and the skills as an engineer and a tech lead while discussing projects that you have worked on in the past. You will meet the manager for the role as well as our VP of Engineering, with the opportunity to ask any questions about the team, role and engineering at Phaidra.\n\n\n* \n\nML system design & SRE (90 minutes): In this interview, we will go over a real world MLOps problem. You can expect to draw architecture diagrams using boxes & arrows in your browser. We will talk about system design, scalability and monitoring\n\n\n* \n\nML interview (60 minutes): This interview will focus on Machine Learning approaches, algorithms and theory. You will be asked about ML algorithms you are familiar with, how they work under the hood and how to use them in an applied setting.\n\n\n* \n\nCulture fit interview with Phaidra’s co-founders (30 minutes): This interview focuses on alignment with Phaidra’s values and the mutual cultural fit.\n\n\n\nBase Salary\n\n\n* US Residents: $156,000-$234,000/year\n\n* UK Residents: £108,000-£162,000/year\n\n\n\n\nSalary ranges for EU countries will vary based on the market rate for the location.\n\nThis position will also include equity.\n\nThese are best faith estimates of the base salary range for this position. Multiple factors such as experience, education, level, and location are taken into account when determining compensation.\nBenefits & Perks\n\n\n* Fast-paced and team-oriented environment where you will be instrumental in the direction of the company.\n\n* Phaidra is a 100% remote company with a digital nomad policy.\n\n* Competitive compensation & equity.\n\n* Outsized responsibilities & professional development.\n\n* Training is foundational; functional, customer immersion, and development training.\n\n* Medical, dental, and vision insurance (exact benefits vary by region).\n\n* Unlimited paid time off, with a minimum of 20 days off per year requirement.\n\n* Paid parental leave (exact benefits vary by region).\n\n* Home office setup allowance and company MacBook.\n\n* Monthly remote work stipend.\n\n\n\nOn being Remote\n\nWe are thoughtful about remote collaboration. We look to the pioneers - like Gitlab - for inspiration and best practices to create a stellar remote work environment. We have a documentation-first culture and actively practice asynchronous communication in everything we do. Our team stays connected through tools like Slack and video chat. Most teams meet daily, and we have dedicated all-hands meetings bi-weekly to build strong relationships. We hold virtual team building events once per month - and even hold virtual socials to watch rocket launches! We have a yearly in-person, all-company summit in locations like Seattle, Athens, Goa, and Barcelona.\nEqual Opportunity Employment\n\nPhaidra is an Equal Opportunity Employer; employment with Phaidra is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We welcome diversity and strive to maintain an inclusive environment for all employees. If you need assistance with completing the application process, please contact us at [email protected].\nE-Verify Notice\n\nPhaidra participates in E-Verify, an employment authorization database provided through the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA). As required by law, we will provide the SSA and, if necessary, the DHS, with information from each new employee’s Form I-9 to confirm work authorization for those residing in the United States.\n\nAdditional information about E-Verify can be found here.\n\n#LI-Remote\n\nWE DO NOT ACCEPT APPLICATIONS FROM RECRUITERS.\n\n  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, DevOps, Cloud, API, Engineer and Backend jobs that are similar:\n\n $70,000 — $105,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSeattle, Washington, United States

\nIntroduction\n\nCryptoTicker is a Berlin-based crypto, blockchain, and tech news platform comprised of an international team of experts dedicated to sharing their knowledge with the community. As a next big step, we are planning to evolve our platform even further and make it web3 ready by offering customers beyond educational content the possibility to connect their wallets, receive a CryptoTicker NFT and consume token gated content.\n\nAs part of our strong, fast-moving team, you will be helping migrate from our current WordPress website to a modern front-end using Next.js and Tailwind CSS with a headless Strapi CMS as backend. Once we have a modern frontend in place we will work on integrating web3 services. \n\nCurrently in process in our Project-Sprint ( 09/2023 )\n\nYour main role and tasks will be to support our Dev-Unit migrating data from WordPress to our new Strapi PostgresSQL backend and implement the newly designed website with React Components using Tailwind CSS and later on build web3 functionality with providers like Wallet Connect.\nTasks\n\nDuties\n\nCollaborate on a daily basis with a team of product managers, engineers, and UI/UX designers to understand business requirements, user experience goals and pain points\n\n\n* Ability to develop secure apps and backend APIs\n\n* Build reusable components and libraries for future use\n\n* Troubleshooting and bug fixing\n\n* Identifying bottlenecks and improving software efficiency\n\n\n\n\nDetails\n\n⏺️ Position Type Freelance (project-based) or part-time\n\n📍 Location Berlin. Remote work allowed. (hybrid)\nRequirements\n\n🚨 Required\n\nNext.js / React + Understanding of ISR & SSR\n\n\n* Knowledge of common packages such as Next-SEO, Next-Sitemap etc.\n\n* Strapi CMS + Plugins\n\n* TailwindCSS or Hardcoding CSS\n\n* Github\n\n* Docker / Docker Compose\n\n* Javascript ES6 / TypeScript\n\n* Node.js LTS\n\n* GraphQL & REST API concepts and implementation patterns\n\n* Testing frameworks such as Jest\n\n\n\n\n🧰 Tooling\n\n\n* AWS cloud services: EC2, RDS, Lightsail or Railway Knowledge\n\n* Vercel\n\n* Linear Tool for Sprints/ Tickets ( competitor of Asana/ Atlassian Tools )\n\n* Notion\n\n* PostgreSQL\n\n* Understanding of API Security - OAUTH, JWT\n\n* optional: Superbase and Python Knowledge\n\n\n\nBenefits\n\n🧁 Bonus\n\nHardhat\n\n\n* Solidity\n\n* Ether.js\n\n* Wallet Connect\n\n* creating Dapps Knowledge\n\n\n\n\nPayment in Crypto possible.\n\nLet's get decentralized together \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Web3, Crypto, React, Wordpress, Python, Docker, Cloud, CSS, API, Senior, Engineer and Backend jobs that are similar:\n\n $70,000 — $117,500/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nWorldwide

Who You Are\n\nWe are looking for a driven Software Engineer (MLOps) to be a part of our growing AI Platform team. You are bold and creative, and have deep empathy for customers who may not be tech-savvy. You will design and implement significant parts of the code base and will have the opportunity to make an immediate impact with your work and guide the product and team as we grow.\n\nYou are curious and like to understand technologies and their tradeoffs in depth - providing technical guidance to the team and peers as and when required. Leading by example, you have accumulated a wealth of insights and experiences from your hands-on involvement in the field, and you are committed to rolling up your sleeves and getting work done. You like joining and supporting other engineers in their work to learn from them as well as letting them benefit from your expertise and experience.\n\nYou have the motivation and skills to identify technical product needs, initiate projects and owning their delivery, including the involvement of engineering peers as needed. You are comfortable with challenging the status quo respectfully to drive and deliver technical excellence in the team.\n\n**We are seeking a team member located within one of the following areas: USA/Canada/UK\nResponsibilities\n\nThe AI Platform team you are joining is responsible for building the core platform that powers model training, inference and decision making in our products. Furthermore the team owns MLOps and the services hosting our AI capabilities. Productionizing results from Research, as well as extending our systems and providing support according to our customer needs fall into team responsibilities as well. You will join this team as an experienced engineer with a focus on MLOps solutions to grow our expertise in that area, but also contribute as a software engineer more widely in the team.\n\nAs an organization, we strongly believe in expertise across the stack. As such, you will experience flavors of Machine Learning, Software Engineering, Distributed Systems, MLOps and DevOps.\n\nIn particular, you will:\n\n\n* Design, build and lead the MLOps initiatives and vision for the AI Platform to strengthen automation, orchestration, versioning, observability, monitoring and collaboration for the platform.\n\n* Build and design scalable components for the AI Platform to allow high throughput training and inference for RL agents doing realtime inference for autonomous control of industrial systems.\n\n* Contribute to the design and implementation of the product backend by writing REST & gRPC API services and scalable event-driven backend applications.\n\n* Design clear, extensible software interfaces for the team's customers and maintain a high release quality bar.\n\n* Design and optimize data storage & retrieval mechanisms for high throughput, security & ease of access.\n\n* Perform DevOps duties of CI/CD, Release & Deployment management.\n\n* Be a part of our global production oncall team and, own & operate your services in production, meeting Phaidra’s high bar for operational excellence.\n\n* Lead cross-functional initiatives collaborating with engineers, product managers and TPM across teams.\n\n* Mentor your peers and be a technical role-model in the team.\n\n\n\nOnboarding\n\nIn your first 30 days…\n\n\n* You will be immersed in an onboarding program that introduces you to Phaidra and our product.\n\n* You will spend time in the Engineering org, learning how the teams operate, interact, and approach problems.\n\n* You will read various parts of our handbook and familiarize yourself with the documentation culture at Phaidra.\n\n* You will set up your development environment and start working on an onboarding exercise that will introduce you to various parts of our code base.\n\n* You will learn about how we use agile and be able to navigate our sprint boards and backlogs.\n\n* You will learn about various team standards and development & release processes.\n\n* You will start to learn about our system architecture and infrastructure.\n\n* You will start picking up few good “first-tasks” to get yourself accustomed to the end to end release flow.\n\n\n\n\nIn your first 60 days…\n\n\n* You will get a solid understanding of what Phaidra does and how we do it.\n\n* You will meet with team members across Phaidra and started building relationships that will help you be successful at your job.\n\n* You will complete the onboarding exercise and will be on your way to completing your first production task.\n\n* You will take ownership for the MLOps work on the team, identify gaps and propose roadmap items on the topic.\n\n\n\n\nIn your first 90 days…\n\n\n* You will be fully integrated in the team and with team members across the company.\n\n* You will have a more in-depth understanding of our system architecture and infrastructure.\n\n* You will complete your first on-call experience helping monitor and improve our production environments.\n\n* You will become an expert with our tooling.\n\n* You will start to contribute to knowledge sharing throughout Phaidra and the team.\n\n* You will take proactively drive MLOps topics in the team and represent it technically throughout the company.\n\n\n\nKey Qualifications\n\n\n* 7+ years of work experience.\n\n* Bachelors or Masters in Computer Science, or equivalent experience.\n\n* Strong experience on designing and implementing MLOps solutions for AI production systems\n\n* Expertise with production Software Engineering - relational and non-relational data modelling, micro-services, understanding of event driven systems, etc.\n\n* Strong experience building large scale multi-tenant systems with high availability, fault tolerance, performance tuning, monitoring, and statistics/metrics collection.\n\n* Strong expertise in Python and Cloud environments\n\n* Good grasp of Machine Learning (especially Deep Learning) fundamentals.\n\n* Ability to collaborate and communicate effectively in an all-remote setting\n\n* Doing your work with curiosity, ownership, transparency & directness, outcome orientation, and customer empathy.\n\n\n\nBonus\n\n\n* Experience as a service owner of a realtime production system - operating & monitoring services in production, including using observability tooling such as Prometheus, Grafana, Tempo or equivalent offerings and incident management.\n\n* Experience with building applications that can be deployed in cloud, hybrid or on prem environments\n\n* Exposure to Reinforcement Learning\n\n\n\nOur Stack\n\n\n* Languages - (Backend) Python, Go; (Frontend) JavaScript/TypeScript, React; Customer SDK & Clients - C# .NET\n\n* PyTorch\n\n* Cypress\n\n* Docker, Kubernetes, Terraform & Kapitan\n\n* Gitlab CI, ArgoCD, Atlantis, Vercel\n\n* GCP - GKE, PubSub, CloudSQL, BigTable, Postgres, etc.\n\n* Ray.io\n\n* REST & gRPC micro-services\n\n* Poetry, Pantsbuild\n\n\n\nGeneral Interview Process\n\nAll of our interviews are held via Google Meet, and an active camera connection is required.\n\n* Initial screening interview with a People Operations team member (30 minutes): The purpose of this interview is to meet you, learn more about your background, and discuss what you are looking for in a new position.\n\n* Hiring manager interview (30 minutes): The purpose of this meeting is for you to get to know the manager for the role. This chat will mainly focus on your previous experience and technical background. You can expect to talk about projects that you have worked on in the past and ask any questions about the team & role.\n\n* Technical Interview 1 (60 minutes): The purpose of this interview is to assess your skills in Machine Learning and related mathematics.\n\n* Technical Interview 2 (90 minutes): In this interview, we will go over a real world MLOps problem. You can expect to draw architecture diagrams using boxes & arrows in your browser. We will talk about system design, scalability and monitoring.\n\n* Meeting with VP of Engineering (30 minutes): This interview is a combination of technical and cultural fit assessment. You will cover the technical experience and the skills that you brinand have an opportunity to ask any questions about the team’s culture or vision.\n\n* Culture fit interview with Phaidra’s co-founders (30 minutes): This interview focuses on alignment with Phaidra’s values\n\n\nBase Salary\n\nUS Residents: $115,200-$208,800/year\n\nUK Residents: £96,400-£144,000/year\n\nThis position will also include equity.\n\nThese are best faith estimates of the base salary range for this position. Multiple factors such as experience, education, level, and location are taken into account when determining compensation. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, DevOps, Cloud, API, Senior, Engineer and Backend jobs that are similar:\n\n $65,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSeattle, Washington, United States

\nWe're looking for a savvy and experienced Senior Data Engineer to join the Data Platform Engineering team at Hims. As a Senior Data Engineer, you will work with the analytics engineers, product managers, engineers, security, DevOps, analytics, and machine learning teams to build a data platform that backs the self-service analytics, machine learning models, and data products serving over a million Hims & Hers users.\nYou Will:\n\n\n* Architect and develop data pipelines to optimize performance, quality, and scalability\n\n* Build, maintain & operate scalable, performant, and containerized infrastructure required for optimal extraction, transformation, and loading of data from various data sources\n\n* Design, develop, and own robust, scalable data processing and data integration pipelines using Python, dbt, Kafka, Airflow, PySpark, SparkSQL, and REST API endpoints to ingest data from various external data sources to Data Lake\n\n* Develop testing frameworks and monitoring to improve data quality, observability, pipeline reliability, and performance\n\n* Orchestrate sophisticated data flow patterns across a variety of disparate tooling\n\n* Support analytics engineers, data analysts, and business partners in building tools and data marts that enable self-service analytics\n\n* Partner with the rest of the Data Platform team to set best practices and ensure the execution of them\n\n* Partner with the analytics engineers to ensure the performance and reliability of our data sources\n\n* Partner with machine learning engineers to deploy predictive models\n\n* Partner with the legal and security teams to build frameworks and implement data compliance and security policies\n\n* Partner with DevOps to build IaC and CI/CD pipelines\n\n* Support code versioning and code deployments for data Pipelines\n\n\n\nYou Have:\n\n\n* 8+ years of professional experience designing, creating and maintaining scalable data pipelines using Python, API calls, SQL, and scripting languages\n\n* Demonstrated experience writing clean, efficient & well-documented Python code and are willing to become effective in other languages as needed\n\n* Demonstrated experience writing complex, highly optimized SQL queries across large data sets\n\n* Experience with cloud technologies such as AWS and/or Google Cloud Platform\n\n* Experience with Databricks platform\n\n* Experience with IaC technologies like Terraform\n\n* Experience with data warehouses like BigQuery, Databricks, Snowflake, and Postgres\n\n* Experience building event streaming pipelines using Kafka/Confluent Kafka\n\n* Experience with modern data stack like Airflow/Astronomer, Databricks, dbt, Fivetran, Confluent, Tableau/Looker\n\n* Experience with containers and container orchestration tools such as Docker or Kubernetes\n\n* Experience with Machine Learning & MLOps\n\n* Experience with CI/CD (Jenkins, GitHub Actions, Circle CI)\n\n* Thorough understanding of SDLC and Agile frameworks\n\n* Project management skills and a demonstrated ability to work autonomously\n\n\n\nNice to Have:\n\n\n* Experience building data models using dbt\n\n* Experience with Javascript and event tracking tools like GTM\n\n* Experience designing and developing systems with desired SLAs and data quality metrics\n\n* Experience with microservice architecture\n\n* Experience architecting an enterprise-grade data platform\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Docker, Testing, DevOps, JavaScript, Cloud, API, Senior, Legal and Engineer jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSan Francisco, California, United States

\nOur mission at Orbital Insight is to understand what we’re doing on and to the Earth. We do this through our cloud-based SaaS platform, Orbital Insight Terrascope and on-premise offering, Terrabox, by ingesting geospatial data at massive scales, then applying state-of-art AI/ML and Data Science algorithms at scale. \n\n\nIn order to achieve this, the cloud infrastructure engineering team is motivated to provide a robust infrastructure layer between the platform and the cloud providers. This software layer is centered around Kubernetes to provide cloud agnostic feasibility and requires deployability on customers’ cloud environments.\n\n\nOur work spans multiple areas including cloud agnostic infrastructure, networking, orchestration, distributed storage, and online/streaming processing. If you enjoy applying computer science fundamentals to real-world challenges and building scalable systems, you will fit right in.\n\n\nIn order to take our government business to the next level we are looking to hire a DevOps Engineer to join our Public Sector team. This DevOps Engineer will work on developing, adapting, and extending our commercial software products to fit the needs of our government customers.\nAt Orbital Insight, we work in cross-functional Agile teams, exploring how geospatial data, data science, AI/deep learning, computer vision, and intimacy with user needs can create entirely new products that give novel insights about what we are doing on and to the earth. Our pioneering products help people answer questions that cannot be answered today.\n\n\nWe value experienced engineers who already have a breadth of experience in multiple areas -- databases, devops, machine learning, API design, and more -- and are eager to learn new areas and new technologies.\nIf all this sounds interesting to you, we’d love to meet you.\n\n\nThe position is remote with as needed to travel to customer sites in the Washington DC area. Occasional travel to corporate headquarters in Palo Alto, California.\n\n\nThis position requires active TS/SCI(DOD) clearance\n\n\n\nResponsibilities\n* Lead deployment and maintenance of our flagship product Terrascope, from GovCloud to JWICS You are the primary engineer for these initiatives\n* Ability to lead a cross functional team for a government engagement including facilitating design and implementation, as well as project management, to meet contractual deliverables\n* Design and develop the software layer between the platform and the cloud providers\n* Understanding the requirements for cloud provider agnostic and air-gapped environments\n* Be responsible for the runtime infrastructure under our production system and all developer resources\n* Automate packaging and testing for releases and bootstrapping\n* Attending technology conferences that will help support learning, as well as, bringing ideas from greater community that can further improve our solutions\n\n\n\nMandatory Qualifications\n*  5 Years Minimum Experience as DevOps Engineer\n*  3 years experience with Kubernetes to deploy, scale and manage containers with configuration using Helm charts\n* Comfortable at command line and working within Linux operating system (preferably RHEL)\n* Experience working with Docker or other Container technologies\n* Experience working with cloud providers such as AWS, GCP, or Azure . Configuring networking (DNS, routing, load balancing)  will be a good example\n* Command of a scripting language such as Python or Bash, as well as Git\n* Proficiency and experience with infrastructure as code (IaC) tools, such as Terraform\n\n\n\nPreferred Qualifications\n* Experience with JWICS integration (PKI, NPE Certs)\n* Experience with air-gapped system / on-premise deployment\n* Experience with databases and message queues\n* Experience with Cloud/Kubernetes security \n* Computer science, electrical engineering degree or related experience\n\n\n\n\n$140,000 - $210,000 a yearSalary range includes annual base salary only\n\nAt Orbital Insight, we believe that a diverse workforce that reflects the diversity of our planet is the way to achieve our mission: to understand what is happening on and to the Earth.  Orbital Insight is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. We do not accept unsolicited headhunter and agency resumes and will not pay any third-party agency or company that does not have a signed agreement with Orbital Insight. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, SaaS, Python, Docker, Testing, DevOps, Cloud, API, Engineer and Linux jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nArlington, VA

\nIntroduction\n\nCryptoTicker is a Berlin-based crypto, blockchain, and tech news platform comprised of an international team of experts dedicated to sharing their knowledge with the community. As a next big step, we are planning to evolve our platform even further and make it web3 ready by offering customers beyond educational content the possibility to connect their wallets, receive a CryptoTicker NFT and consume token gated content.\n\nAs part of our strong, fast-moving team, you will be helping migrate from our current WordPress website to a modern front-end using Next.js and Tailwind CSS with a headless Strapi CMS as backend. Once we have a modern frontend in place we will work on integrating web3 services. \n\nCurrently in process in our Project-Sprint ( 09/2023 )\n\nYour main role and tasks will be to support our Dev-Unit migrating data from WordPress to our new Strapi PostgresSQL backend and implement the newly designed website with React Components using Tailwind CSS and later on build web3 functionality with providers like Wallet Connect.\nTasks\n\nDuties\n\nCollaborate on a daily basis with a team of product managers, engineers, and UI/UX designers to understand business requirements, user experience goals and pain points\n\n\n* Ability to develop secure apps and backend APIs\n\n* Build reusable components and libraries for future use\n\n* Troubleshooting and bug fixing\n\n* Identifying bottlenecks and improving software efficiency\n\n\n\n\nDetails\n\n⏺️ Position Type Freelance (project-based) or part-time\n\n📍 Location Berlin. Remote work allowed. (hybrid)\nRequirements\n\n🚨 Required\n\nNext.js / React + Understanding of ISR & SSR\n\n\n* Knowledge of common packages such as Next-SEO, Next-Sitemap etc.\n\n* Strapi CMS + Plugins\n\n* TailwindCSS or Hardcoding CSS\n\n* Github\n\n* Docker / Docker Compose\n\n* Javascript ES6 / TypeScript\n\n* Node.js LTS\n\n* GraphQL & REST API concepts and implementation patterns\n\n* Testing frameworks such as Jest\n\n\n\n\n🧰 Tooling\n\n\n* AWS cloud services: EC2, RDS, Lightsail or Railway Knowledge\n\n* Vercel\n\n* Linear Tool for Sprints/ Tickets ( competitor of Asana/ Atlassian Tools )\n\n* Notion\n\n* PostgreSQL\n\n* Understanding of API Security - OAUTH, JWT\n\n* optional: Superbase and Python Knowledge\n\n\n\nBenefits\n\n🧁 Bonus\n\nHardhat\n\n\n* Solidity\n\n* Ether.js\n\n* Wallet Connect\n\n* creating Dapps Knowledge\n\n\n\n\nPayment in Crypto possible.\n\nLet's get decentralized together \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Web3, Crypto, React, Wordpress, Python, Docker, Cloud, CSS, API, Senior, Engineer and Backend jobs that are similar:\n\n $57,500 — $107,500/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nWorldwide

\nRestaurant365 is a SaaS company disrupting the restaurant industry! Our cloud-based platform provides a unique, centralized solution for accounting and back-office operations for restaurants. Restaurant365’s culture is focused on empowering team members to produce top-notch results while elevating their skills. We’re constantly evolving and improving to make sure we are and always will be “Best in Class” ... and we want that for you too!\n\n\nRestaurant365 is looking for an experienced Data Engineer to join our data warehouse team thatenables the flow of information and analytics across the company. The Data Engineer will participate in the engineering of our enterprise data lake, data warehouse, and analytic solutions. This is a key role on a highly visible team that will partner across the organization with business and technical stakeholders to create the objects and data pipelines used for insights, analysis, executive reporting, and machine learning.  You will have the exciting opportunity to shape and grow with a high performingteam and the modern data foundation that enables the data-driven culture to fuel the company’s growth.  \n\n\n\nHow you'll add value: \n* Participate in the overall architecture, engineering, and operations of a modern data warehouse and analytics platforms.  \n* Design and develop the objects in the Data Lake and EDW that serve as core building blocks for the semantic layer and datasets used for reporting and analytics across the enterprise. \n* Develop data pipelines, transformations (ETL/ELT), orchestration, and job controls using repeatable software development processes, quality assurance, release management, and monitoring capabilities. \n* Partner with internal business and technology stakeholders to understand their needs and then design, build and monitor pipelines that meet the company’s growing business needs. \n* Look for opportunities for continuous improvements that automate workflows, reduce manual processes, reduce operational costs, uphold SLAs, and ensure scalability. \n* Use an automated observability framework for ensuring the reliability of data quality, data integrity, and master data management.  \n* Partner closely with peers in Product, Engineering, Enterprise Technology, and InfoSec teams on the shared enterprise needs of a data lake, data warehouse, semantic layer, transformation tools, BI tools, and machine learning. \n* Partner closely with peers in Business Intelligence, Data Science, and SMEs in partnering business units o translate analytics and business requirements into SQL and data structures \n* Responsible for ensuring platforms, products, and services are delivered with operational excellence and rigorous adherence to ITSM process and InfoSec policies. \n* Adopt and follow sound Agile practices for the delivery of data engineering and analytics solutions. \n* Create documentation for reference, process, data products, and data infrastructure \n* Embrace ambiguity and other duties as assigned. \n\n\n\nWhat you'll need to be successful in this role: \n* 3-5 years of engineering experience in enterprise data warehousing, data engineering, business intelligence, and delivering analytics solutions \n* 1-2 years of SaaS industry experience required \n* Deep understanding of current technologies and design patterns for data warehousing, data pipelines, data modeling, analytics, visualization, and machine learning (e.g. Kimball methodology) \n* Solid understanding of modern distributed data architectures, data pipelines, API pub/sub services \n* Experience engineering for SLA-driven data operations with responsibility for uptime, delivery, consistency, scalability, and continuous improvement of data infrastructure \n* Ability to understand and translate business requirements into data/analytic solutions \n* Extensive experience with Agile development methodologies \n* Prior experience with at least one: Snowflake, Big Query, Synapse, Data bricks, or Redshift  \n* Highly proficient in both SQL and Python for data manipulation and assembly of Airflow DAG’s. \n* Experience with cloud administration and DevOps best practices on AWS and GCP and/or general cloud architecture best practices, with accountability cloud cost management \n* Strong interpersonal, leadership and communication skills, with the ability to relate technical solutions to business terminology and goals \n* Ability to work independently in a remote culture and across many time zones and outsourced partners, likely CT or ET  \n\n\n\nR365 Team Member Benefits & Compensation\n* This position has a salary range of $94K-$130K. The above range represents the expected salary range for this position. The actual salary may vary based upon several factors, including, but not limited to, relevant skills/experience, time in the role, business line, and geographic location. Restaurant365 focuses on equitable pay for our team and aims for transparency with our pay practices. \n* Comprehensive medical benefits, 100% paid for employee\n* 401k + matching\n* Equity Option Grant\n* Unlimited PTO + Company holidays\n* Wellness initiatives\n\n\n#BI-Remote\n\n\n$90,000 - $130,000 a year\n\nR365 is an Equal Opportunity Employer and we encourage all forward-thinkers who embrace change and possess a positive attitude to apply. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, SaaS, InfoSec, Python, Accounting, DevOps, Cloud, API and Engineer jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nRemote

\n\nABOUT US:\n\nBraintrust is a user-owned talent network that connects top-tier professionals with the world's leading enterprises. We prioritize transparency, eliminating middlemen and high markups, ensuring job-seekers are matched swiftly to innovative roles while clients benefit from unparalleled efficiency and quality.\n\nABOUT THE HIRING PROCESS:\n\nThe hiring process for this role involves completing your Braintrust profile, applying directly to the role on Braintrust, and undergoing a one-time screening to ensure you meet our vetted talent specifications. After this, the hiring team will contact you directly if they believe you are a suitable match.\n\nOur process isn't for everyone, that's intentional. If you believe that you are a top candidate for this job, please join our network to give yourself the opportunity to work with top companies.\n\n \n\n\n* \nJOB TYPE: Freelance, Contract Position (no agencies/C2C - see notes below)\n\n* \nLOCATION: Remote - Europe - CET/WAT | Partial overlap\n\n* \nHOURLY RANGE: Our client is looking to pay $30 – $100/hr\n\n* \nESTIMATED DURATION: 40h/week - Short term\n\n* \nEXPERIENCE: 5-10 years\n\nBRAINTRUST JOB ID: 9729\n\n\n\n\n \n\nTHE OPPORTUNITY\n \n\n\n\n\n\n\n\n\nRequirements\n\n\n\nWhat You'll Do:\n\n\n* \n\nDesign and implement Node.js APIs handling over 1,800 requests / second at peak.\n\n\n* \n\nBuild highly scalable RESTful web services using Node.JS / Express framework\n\n\n* \n\nBuild various API's in Node utilizing the AWS services; DynamodB, Security Token Service, EC2 - from an existing Serverless Framework\n\n\n* \n\nWork closely with our product, design, marketing, server side, network and machine learning teams to optimize the singing experience on a weekly basis\n\nWhat You'll Need (The Fundamentals):\n\n\n* \n\n5+ years of development experience working with the modern frontend and the backend frameworks.\n\n\n* \n\nExpert in AWS and Serverless Architecture, experience in AWS stack (AWS Beanstalk, EC2, ELB, Lambda, Route53, VPC, Cloud front) and security practices (IAM, AWS Users and Roles, Tokins)\n\n\n* \n\nExtensively worked in Typescript \n\n\n* \n\nExperience with AWS Console, and configuring infrastructure: VPC, Subnets, EC2, AWS Batch, Cloudefront, Route53\n\n\n* \n\nExperience with AWS specific technologies: API Gateway, Lambda functions, S3, DynamoDb, RDS, Timestream, Secrets Manager, Cloudwatch, CloudTrail, Cloudformation, and more\n\n\n* \n\nFamiliarity with yaml pipelines & CI\CD, Jira, Github\n\n\n* \n\nExtensively worked with the frameworks like JQuery, Dojo, AngularJS, Angular 2.0 / 4.0 and React\n\n\n* \n\nBuilding highly scalable web services using Node.js and Java and Implemented Spring MVC, which includes writing controller classes for handling requests, processing form submissions and performed validations using Commons validator.\n\n\n* \n\nDeveloping micro services using Node.js / Java and used AWS Lambda functions to build Services.\n\n\n* \n\nWorked with Node.js Web frameworks like: Meteor, Express and Kraken.JS.\n\n\n* \n\nWorked with JavaScript testing frameworks like Jasmine, Quit, Mocha and Chai\n\n\n* \n\nWorked with various Databases like: MongoDB, SQL Server, Postgres, Dynamo DB\n\n\n* \n\nGood knowledge in various design patterns such as MVC, MVVM and Flux\n\n\n* \n\nWorked with the following build tools like Web pack, gulp and grunt\n\n\n* \n\nExperience Deploying the application to production, monitoring and troubleshooting the application in the production\n\n\n* \n\nUsed Docker containers for deploying the application and Mesos for maintaining the clusters. Developing scripts for build, deployment, maintenance and related tasks using Jenkins, Docker, Maven, Python and Bash\n\n\n* \n\nProficient in Java / J2EE Design Patterns including singleton, command, object pool, session facade, Model View Controller (MVC), Data Access Object (DAO).\n\n\n* \n\nWell versed with core Java concepts like collections, multithreading, serialization, Java beans.\n\n\n* \n\nHaving exposure to NoSQL databases such as MongoDB, Cassandra, Redis, Neo4j, Elastic Search.\n\n\n* \n\nExperience in Software-As-A-Service (SaaS) is a plus\n\n\n* \n\nExperience extracting data from the Unity platform a plus\n\n\n* \n\nExperience collaborating on projects and working efficiently as part of a team.\n\n\n* \n\nLove of owning a problem end-to-end.\n\n\n\n\n\nNice-To-Haves (the Unicorn list):\n\n\n* \n\nNo ego.\n\n\n* \n\nA Desire to be a Pioneer in Mobile 5G ie. you like to solve really hard problems (or problems that haven't existed yet)\n\n\n* \n\nA love of surrealist, absurdist comedy. I mean, 'No-one expects the Spanish Inquisition?', Am I right?\n\n\n* \n\nA strong passion for 'Social Contagion' Theory, and the desire to create a pro-social, pro-co-operative world.\n\n\n* \n\nPlay an instrument or love all things audio.\n\n\n\n\n\n\n\n\n\n\nWhat you’ll be working on\n\n\n\nROLE: Senior Backend Engineer with Serverless Framework experience for Pioneering 5G Music Infrastructure Project (REMOTE)\nCONTRACT TYPE: Initial 1-3 month contract (potential temp-to-permanent)\nLOCATION: REMOTE \nSTART DATE: December 2023/January 2024\n\nBackground\n\n‘Roads? Where we’re going, we don’t need roads.’ (Back to the Future)\n\nOpen Sesame's engineering team is seeking experienced senior Back End Engineer who is a pioneer; people who like doing things that haven't been done before and have a love for irreverent comedy (like Monty Python).\n\nThis role is a one-of-a-kind opportunity to join a rockstar team building a world-first B2B 5G audio infrastructure project, used by applications developers globally, with well-known global mobile operators, for millions of phones, to foster a pro-social, pro-cooperative communal experience for the entire world. No pressure.\n\nWhat You'll Do:\n\n\n* \n\nDesign and implement Node.js APIs handling over 1,800 requests / second at peak.\n\n\n* \n\nBuild highly scalable RESTful web services using Node.JS / Express framework\n\n\n* \n\nBuild various API's in Node utilizing the AWS services; DynamodB, Security Token Service, EC2 - from an existing Serverless Framework\n\n\n* \n\nWork closely with our product, design, marketing, server side, network and machine learning teams to optimize the singing experience on a weekly basis\n\nWhat You'll Need (The Fundamentals):\n\n\n* \n\n5+ years of development experience working with the modern frontend and the backend frameworks.\n\n\n* \n\nExpert in AWS and Serverless Architecture, experience in AWS stack (AWS Beanstalk, EC2, ELB, Lambda, Route53, VPC, Cloud front) and security practices (IAM, AWS Users and Roles, Tokins)\n\n\n* \n\nExtensively worked in Typescript \n\n\n* \n\nExperience with AWS Console, and configuring infrastructure: VPC, Subnets, EC2, AWS Batch, Cloudefront, Route53\n\n\n* \n\nExperience with AWS specific technologies: API Gateway, Lambda functions, S3, DynamoDb, RDS, Timestream, Secrets Manager, Cloudwatch, CloudTrail, Cloudformation, and more\n\n\n* \n\nFamiliarity with yaml pipelines & CI\CD, Jira, Github\n\n\n* \n\nExtensively worked with the frameworks like JQuery, Dojo, AngularJS, Angular 2.0 / 4.0 and React\n\n\n* \n\nBuilding highly scalable web services using Node.js and Java and Implemented Spring MVC, which includes writing controller classes for handling requests, processing form submissions and performed validations using Commons validator.\n\n\n* \n\nDeveloping micro services using Node.js / Java and used AWS Lambda functions to build Services.\n\n\n* \n\nWorked with Node.js Web frameworks like: Meteor, Express and Kraken.JS.\n\n\n* \n\nWorked with JavaScript testing frameworks like Jasmine, Quit, Mocha and Chai\n\n\n* \n\nWorked with various Databases like: MongoDB, SQL Server, Postgres, Dynamo DB\n\n\n* \n\nGood knowledge in various design patterns such as MVC, MVVM and Flux\n\n\n* \n\nWorked with the following build tools like Web pack, gulp and grunt\n\n\n* \n\nExperience Deploying the application to production, monitoring and troubleshooting the application in the production\n\n\n* \n\nUsed Docker containers for deploying the application and Mesos for maintaining the clusters. Developing scripts for build, deployment, maintenance and related tasks using Jenkins, Docker, Maven, Python and Bash\n\n\n* \n\nProficient in Java / J2EE Design Patterns including singleton, command, object pool, session facade, Model View Controller (MVC), Data Access Object (DAO).\n\n\n* \n\nWell versed with core Java concepts like collections, multithreading, serialization, Java beans.\n\n\n* \n\nHaving exposure to NoSQL databases such as MongoDB, Cassandra, Redis, Neo4j, Elastic Search.\n\n\n* \n\nExperience in Software-As-A-Service (SaaS) is a plus\n\n\n* \n\nExperience extracting data from the Unity platform a plus\n\n\n* \n\nExperience collaborating on projects and working efficiently as part of a team.\n\n\n* \n\nLove of owning a problem end-to-end.\n\n\n\n\n\nNice-To-Haves (the Unicorn list):\n\n\n* \n\nNo ego.\n\n\n* \n\nA Desire to be a Pioneer in Mobile 5G ie. you like to solve really hard problems (or problems that haven't existed yet)\n\n\n* \n\nA love of surrealist, absurdist comedy. I mean, 'No-one expects the Spanish Inquisition?', Am I right?\n\n\n* \n\nA strong passion for 'Social Contagion' Theory, and the desire to create a pro-social, pro-co-operative world.\n\n\n* \n\nPlay an instrument or love all things audio.\n\n\n* \n\nLives in NRW Germany region - https://en.wikipedia.org/wiki/North_Rhine-Westphalia\n\n\n\n\n\nAbout Open Sesame\nOpen Sesame Media is a B2B Communications PaaS venture providing low latency synchronized audio over 5G to application developers via its patented SyncStageTM platform. In short, we 'sync' a group of devices at extremely low latency (8 times faster than Google Meet, 5 times faster than Discord) to enable instant 'real time' grouped synchronized digital audio experiences. We just completed the world's-first music collaboration showcasing 3 guitarists performing together on SyncStage between 3 telecom networks and 3 countries. The guitarists performed remotely between NYC (Verizon), London (Vodafone), & Toronto (Rogers Communications).\n\nWe are working with and have tested SyncStage on major telecoms across the globe to bring our technology to market (including Verizon, Rogers, Vodafone, Deutsche Telekom, Orange, Telefonica, KDDI, Softbank, SK Telecom, and Singtel).\n\nWe are based in Los Angeles, CA, with an office in Cologne Germany.\n\n\n\n\n\n\n\n\n\n\n\nApply Now!\n\nNotes:\n\nOur employers all have varying legal and geographic requirements for their roles, they trust Braintrust to find them the talent that meet their unique specifications. For that reason, this role is not available to C2C candidates working with an agency. If you are a professional contractor who has created an LLC/corp around their consulting practice, this is well aligned with Braintrust and we’d welcome your application.\n\nBraintrust values the multitude of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Consulting, Docker, Testing, JavaScript, Java, Serverless, Cloud, NoSQL, Typescript, Angular, Node, API, Mobile, Senior, Legal, Engineer and Backend jobs that are similar:\n\n $55,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nEurope 1

EMPLOYER IS A CONTRACTOR FOR THE U.S. GOVERNMENT. THIS POSITION WILL REQUIRE U.S. CITIZENSHIP.\nRole Description: \n\nWe are seeking a talented and experienced Mid-level AI Product Support Engineer to join our team. The ideal candidate will play a crucial role in the development and maintenance of our platform offerings, demonstrating a strong understanding of system architecture, problem-solving skills, and the ability to guide junior engineers.\n\nAs a Mid-Level Product Support Engineer within our organization, you will join a team of dedicated Unicorns who are focused on advancing freedom and independence globally. We offer mission capabilities that accelerate value and are looking for someone to serve as a specialist with our AI for National Security offerings, working directly with our Mission Heroes.\nResponsibilities: \n\nIn this role, your primary responsibilities will include ensuring successful install and upgrade of our AI offerings with Mission Heroes, while providing them training and coaching to better understand these aspects.  You will be a crucial link between our product development team and our Heroes’ Production Environments, advocating best practices and fostering communication with our Heroes’ engineering team. Please note, this position will require being on call to support our Service Level Agreements (SLAs). \n\nIn this position, you will be expected to: \n\n\n* Decompose Issues for Junior Engineers: Break down complex technical issues into manageable tasks for junior engineers. Provide clear guidance and mentorship to support their professional growth.\n\n* Validate Solutions/Implementations: Ensure that solutions and implementations align with the outlined tasks and business requirements. Conduct thorough validations to maintain the integrity and efficiency of the platform.\n\n* Independently Problem Solve: Demonstrate the ability to identify and solve business problems independently. Develop small components to address specific challenges without relying on explicit architecture diagrams.\n\n* Understand Medium-Level Tasking: Comprehend how medium-level tasks contribute to the achievement of overall goals. Collaborate with cross-functional teams to integrate various components into a cohesive and functional platform.\n\n* Estimate Time and Effort: Provide accurate time and effort estimates for medium-sized tasks. Assist in project planning and resource allocation based on estimated timelines.\n\n* Demonstrate Programming Language Proficiency: Possess familiarity with at least one programming language. Exhibit a basic understanding of when to use a programming language versus a shell for efficient task execution.\n\n* Own the bridge between the product team and the Heroes’ Engineering team: \n\n\n* Interject "best practices" to the Heroes’ engineering team and facilitate collaboration between our teams and theirs.\n\n* Lead discussions on the benefits of using cyber-secure tools.\n\n* Establish and facilitate automated Zarf builds as part of CI for multiple Hero teams.\n\n* Collaborate with the product team on lessons learned.\n\n\n\n\n\n* Contribute to CI/CD and other automation experiences: Build and maintain automated pipeline functions, leading teams towards delivery and sustainment options.\n\n* Demonstrate knowledge of AI technologies, including Large Language Models (LLMs)\n\n* Exhibit strong programming skills and deep familiarity with Linux/Unix operating systems.\n\n* Implement infrastructure as code and contribute to the build/maintenance of kubernetes clusters on various distributions (i.e EKS & RKE2).\n\n* Apply extensive experience with cloud native technology deployments, emphasizing secure coding practices and vulnerability remediation.\n\n* Communicate your work to Hero engineering teams through your documentation, engagements, and training sessions\n\n\n\n\nThe listed responsibilities are not exhaustive and additional responsibilities may be assigned based on the evolving needs of the organization. We are seeking a dynamic individual who is able to adapt and take on new responsibilities as they arise. \n\nTravel Expectations: 10%-25%\nPreferred Experience and Qualifications:\n\n\n* Proven experience as a Platform Engineer or similar role, with a focus on AI integration and tooling.\n\n* Familiar with various AI domains and common frameworks (Transformers, Tensorflow, Torch, OpenAI API, etc.).\n\n* Strong problem-solving skills and the ability to work independently.\n\n* Proficiency in at least one programming language (e.g., Python or Go) and a basic understanding of shell scripting.\n\n* Demonstrated ability to guide and mentor junior engineers.\n\n* Experience with security automation and familiarity with API Security, Container Security, and AWS Cloud Security.\n\n* Experience in architecture security design, monitoring, and performance instrumentation in a complex enterprise environment.\n\n* Demonstrated familiarity with cloud-native technologies such as Kubernetes, Google Cloud, and Docker.\n\n* Currently hold a security clearance/Eligible to obtain for a security clearance.\n\n* Possess (or ability to quickly obtain) a DoD 8570 IAT II certification.\n\n* Experienced in working on a team following an Agile framework in a remote environment.\n\n* Familiarity with continuous delivery, distributed architectures, systems, everything-as-code, containerization, and cloud services.\n\n* Experience with DevSecOps/DevOps and CI/CD theory and best practices.\n\n* Experience with YAML.\n\n\n\n\nIf you are a skilled Product Support Engineer looking to contribute to the growth and success of a dynamic organization, we invite you to apply and join our team. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Cloud, API and Engineer jobs that are similar:\n\n $60,000 — $112,500/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nIntroduction\n\nCryptoTicker is a Berlin-based crypto, blockchain, and tech news platform comprised of an international team of experts dedicated to sharing their knowledge with the community. As a next big step, we are planning to evolve our platform even further and make it web3 ready by offering customers beyond educational content the possibility to connect their wallets, receive a CryptoTicker NFT and consume token gated content.\n\nAs part of our strong, fast-moving team, you will be helping migrate from our current WordPress website to a modern front-end using Next.js and Tailwind CSS with a headless Strapi CMS as backend. Once we have a modern frontend in place we will work on integrating web3 services. \n\nCurrently in process in our Project-Sprint ( 09/2023 )\n\nYour main role and tasks will be to support our Dev-Unit migrating data from WordPress to our new Strapi PostgresSQL backend and implement the newly designed website with React Components using Tailwind CSS and later on build web3 functionality with providers like Wallet Connect.\nTasks\n\nDuties\n\nCollaborate on a daily basis with a team of product managers, engineers, and UI/UX designers to understand business requirements, user experience goals and pain points\n\n\n* Ability to develop secure apps and backend APIs\n\n* Build reusable components and libraries for future use\n\n* Troubleshooting and bug fixing\n\n* Identifying bottlenecks and improving software efficiency\n\n\n\n\nDetails\n\n⏺️ Position Type Freelance (project-based) or part-time\n\n📍 Location Berlin. Remote work allowed. (hybrid)\nRequirements\n\n🚨 Required\n\nNext.js / React + Understanding of ISR & SSR\n\n\n* Knowledge of common packages such as Next-SEO, Next-Sitemap etc.\n\n* Strapi CMS + Plugins\n\n* TailwindCSS or Hardcoding CSS\n\n* Github\n\n* Docker / Docker Compose\n\n* Javascript ES6 / TypeScript\n\n* Node.js LTS\n\n* GraphQL & REST API concepts and implementation patterns\n\n* Testing frameworks such as Jest\n\n\n\n\n🧰 Tooling\n\n\n* AWS cloud services: EC2, RDS, Lightsail or Railway Knowledge\n\n* Vercel\n\n* Linear Tool for Sprints/ Tickets ( competitor of Asana/ Atlassian Tools )\n\n* Notion\n\n* PostgreSQL\n\n* Understanding of API Security - OAUTH, JWT\n\n* optional: Superbase and Python Knowledge\n\n\n\nBenefits\n\n🧁 Bonus\n\nHardhat\n\n\n* Solidity\n\n* Ether.js\n\n* Wallet Connect\n\n* creating Dapps Knowledge\n\n\n\n\nPayment in Crypto possible.\n\nLet's get decentralized together \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Web3, Crypto, React, Wordpress, Python, Docker, Cloud, CSS, API, Senior, Engineer and Backend jobs that are similar:\n\n $60,000 — $105,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nWorldwide