\nHinge is the dating app designed to be deleted\n\n\nIn today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With tens of millions of users across the globe, we’ve become the most trusted way to find a relationship, for all.\n\n\nCollaborate with a cross-disciplinary team to build features and work with other engineers to plan out projects. Design and build backend systems with an emphasis on quality and scalability. Own complex projects end-to-end and effectively communicate to stakeholders. Work in a cloud native tech stack: Kubernetes, AWS, Go web services, Postgres, Redis, Kafka. Be a thought partner for backend team strategy and technical direction. Create and maintain feedback cycles with your peers and manager. Operate and maintain production systems. Support and mentor junior developers. Assist with team hiring and learning. Use strong communication skills (written and verbal) to provide product and project ideas to contribute to trust and safety goal. Telecommuting may be permitted. When not telecommuting, must report to 809 Washington St, New York, NY 10014. Salary: $169,229 - $220,000 per year.\n \n \nMinimum Requirements: Bachelor's degree or U.S. equivalent in Electrical Engineering, Computer Science, Computer Engineering, Software Engineering, Information Technology, or related field, plus 5 years of professional experience as Software Engineer, Software Developer, or any occupation/position/job title involving building backend infrastructures. In lieu of a Bachelor's degree plus 5 years of experience, the employer will accept a Master’s degree or U.S. equivalent in Electrical Engineering, Computer Science, Computer Engineering, Software Engineering, Information Technology, or related field plus 3 years of professional experience as Software Engineer, Software Developer, or any occupation/position/job title involving building backend infrastructures. Must also have the following: 3 years of professional experience building backend infrastructures for consumer-facing features (Business to Consumer) built on iOS and Android; 3 years of professional experience handling large volumes (millions daily) of data within AWS using Python and Golang scripting languages and handling cloud-based container including Docker and Kubernetes; 3 years of professional experience handling data and event streaming using Apache Spark and handling data storage using relational databases including MySQL and NoSQL database including PostgreSQL and Redis; 3 years of professional experience performing and employing software engineering best practices for the full software development life cycle (including coding standards, code reviews, source control management, build processes, testing, and operations); 2 years of professional experience performing backend software engineering (including leading and collaborating with Internal Tooling, Bad Actor Detection, Privacy & Compliance and Safety Product teams across web and apps) and developing backend infrastructures to drive systems that support the trust and safety of users with microservices written in Golang; 2 years of professional experience leading and creating project roadmaps of deployments for B2C web applications and mobile apps (including iOS and Android) and breaking down step to designate to peers; and 2 years of professional experience reviewing peer code and mentoring junior engineers.\n \nPlease send resume to: [email protected]. Please specify ad code [WLLL].\n\n\n\n\n$169,229 - $220,000 a yearFactors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in New York, New York.\n\n#LI-DNI\n\n\nAs a member of our team, you’ll enjoy:\n\n\n401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year.\n\n\nProfessional Growth: Get a $3,000 annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day.\n\n\nParental Leave & Planning: When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.)\n\n\nFertility Support: You’ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide $10,000 toward fertility preservation. You and your spouse/domestic partner are both eligible.\n\n\nDate Stipend: All Hinge employees receive a $100 monthly stipend for epic dates– Romantic or otherwise. Hinge Premium is also free for employees and their loved ones.\n\n\nERGs: We have eight Employee Resource Groups (ERGs)—Asian, Unapologetic, Disability, LGBTQIA+, Vibras, Women/Nonbinary, Parents, and Remote—that hold regular meetings, host events, and provide dedicated support to the organization & its community.\n\n\nAt Hinge, our core values are…\n\n\nAuthenticity: We share, never hide, our words, actions and intentions.\n\n\nCourage: We embrace lofty goals and tough challenges.\n\n\nEmpathy: We deeply consider the perspective of others.\n\n\nDiversity inspires innovation\n\n\nHinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds.\n\n\nIf you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact [email protected]. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Docker, Cloud, NoSQL, Mobile, Senior, Junior, Golang, Engineer and Backend 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\nNew York, New York

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

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

\nSoftware Engineer, Managed Service\n\nAt SingleStore, we're not just building a database company, we are defining the future of data management. Going beyond multi-cloud, we offer our customers flexible networking, storage and compute options to meet their requirements. They click a few options, and our service flies into action, using the latest capabilities of the big cloud providers and the industry-standard Kubernetes ecosystem to get the job done. This managed service helps make SingleStore an excellent choice for many of our customers.\n\nWe are looking for exceptional talent to help us push the boundaries of what’s possible with a managed database product. The next set of capabilities in the pipeline require overcoming difficult technical challenges in the areas of networking, control plane, and scaling services - inventing some of the future of what customers will come to expect from a managed database product.\n\nAs a part of the managed service team, you will design and implement new capabilities for our cloud offering involving deep extensions to our networking, control plane, and overall managed service. Your role will include working closely with our product teams to collaborate on meeting the needs of our most demanding long-time and new customers. In this role, you will be at the intersection of leading technology trends -  A highly performant distributed database, managed by Kubernetes, running in the cloud.  You will probably find yourself using Go and Kubernetes, with a generous sprinkling of whatever the right tool is for the job. We look forward to hearing from you!\nRole and Responsibilities\n\n\n* Work closely with product managers, designers, customers, and other engineers to ensure we deliver a high-quality experience\n\n* Develop a world-class managed service responsible for providing an innovative operational database solution in the cloud\n\n* Proactively contribute to the team's engineering process to assist with our ability to scale and deliver projects on time\n\n* Mentor junior engineers and contribute to a welcoming team environment\n\n\n\nRequired Skills and Experience\n\n\n* Experience with working on distributed systems, ideally in programming languages such as Golang, Python or Rust\n\n* Experience working with Kubernetes and/or containerized services\n\n* 2+ years of experience working on a SaaS product\n\n* Intellectual curiosity about investigating issues that impact business metrics\n\n* Passion for building high-quality products that are robust and easy to maintain in a fast-paced, team-oriented environment\n\n* Experience working on product security features such as authentication, authorization, audit logging, or data protection.  \n\n\n\n\nAs employees are located in many different countries around the world, some benefits may differ from country to country. In all cases, we do our best to provide equitable perks and benefits across our locations.\n\n \n\n\n \nSingleStore delivers the cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv. \nConsistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people.\nPlease note that SingleStore’s COVID-19 vaccination policy requires that team members in the United States be up to date with the current CDC guidelines for their vaccinations with one of the United States FDA-approved vaccine options to meet in person for SingleStore business or to work from one of our U.S. office locations. [It is expected that this will be a requirement for this role]. If an exemption and/or accommodation to our vaccination policy is requested, a member of the Human Resources department will be available to begin the interactive accommodation process.\n\n \nTo all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.\n\n \n#li-remote #remote-li \n\n \nSingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. Certain roles are also eligible for additional rewards, including merit increases and annual bonuses. \n\n \nOur benefits package for this role includes: stock options, flexible paid time off, monthly three-day weekends, 14 weeks of fully-paid gender-neutral parental leave, fertility and adoption assistance, mental health counseling, 401(k) retirement plan, and rich health insurance offerings—including medical, dental, vision and life and disability insurance. \n\n\n\nFor candidates residing in California, please see our California Recruitment Privacy Notice. For candidates residing in the EEA, UK, and Switzerland, please see our EEA, UK, and Swiss Recruitment Privacy Notice.\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, SaaS, Python, Cloud 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\nHyderabad, Telangana, India

\nAbout The Role\n\n\nYard Stick is looking for a Senior Software Engineer to help us combat climate change with soil. We use spectral imaging and machine learning to measure organic soil carbon, bringing down the cost of soil measurement and creating incentives for better soil management and carbon sequestration.\n\n\nWe are looking for someone who is excited to be part of our mission and part of our small team, working on a wide variety of projects both for our customers and our various internal teams. Most of our work is Python (for the data processing end of things) and Ruby (for the web front end), and we’re looking for someone who is expert in at least one of those stacks (and willing to work in the other).\n\n\nThis role is on our software team, reporting directly to the VP of software, and would work in close coordination with our product teams (data science, hardware, soil science) and our sales, business development, and field teams. This is a full-time, remote position, and we are looking to hire as soon as possible.\n\n\nAbout Yard Stick PBC\n\n\nYard Stick is a remote-first climate tech startup with cofounders based in Boston, MA and Oakland, CA. We are on a mission to reverse climate change with agriculture. Scientists and farmers alike know that climate-friendly agricultural practices have the potential to remove atmospheric CO2 at gigaton/year scale. When these practices are adopted, more carbon is stored in soils, improving soil health and fighting climate change. But significant measurement challenges have held soil carbon efforts back - until now.\n\n\nBy reducing the cost of soil carbon measurement by 70-90%, Yard Stick will dramatically expand the opportunities for evidence-based regenerative practices to simultaneously improve ecosystem health, increase farmer income, and combat climate change. \n\n\nCurrent soil carbon measurement technologies are slow, expensive, and cumbersome, relying on conventional soil cores and labs to quantify carbon stocks. In contrast, Yard Stick is fast and cheap - without sacrificing accuracy. As a testament to our technology’s potential, alongside our scientific collaborators, we were awarded $18M across six USDA Climate-Smart Commodities projects, and we have additional grant financing from ARPA-E, NSF, CDFA, and other discerning grant-makers. We’ve also raised another nearly $18M from top climate VCs, including Toyota Climate Venture Fund, Lowercarbon Capital, Breakthrough Energy Ventures (Bill Gates’ climate fund), Microsoft Climate Innovation Fund, The Nature Conservancy, Extania, Pillar VC, MCJ Collective… the list goes on!\n\n\nFor more background, check out some coverage of Yard Stick in TechCrunch, Fast Company, and AgFunder.\n\n\nWe offer competitive salary and equity (benchmarked to 75th percentile of SF/NYC), health/dental/vision insurance, a 401k, and home-office reimbursements. We have a number of founders and other team members with young families and have a strong track record of creative, flexible approaches to hours and communication expectations which let folks feel great about their commitments both to Yard Stick and their lives outside of work. \n\n\nWe’re also a PBC, or public benefit corporation, which is an alternative corporate structure which protects our ability to prioritize climate impact over profits if the two are in conflict. You can read more about PBCs in this article which also features Yard Stick.\n\n\n\nResponsibilities\n* Work with customers and our business development team to extend our customer portal and API\n* Improve our geospatial project management and planning tools, building sampling plans, visualizing GIS data, and developing new data services as needed\n* Develop and enhance internal tools for data review and quality control on collected and analyzed soil data\n* Develop and improve our data pipeline, machine learning tools, model management, and anything to help our data science team work more efficiently\n\n\n\nQualifications (Must Have)\n* 3+ years of relevant work experience\n* Expertise in web application development, either with a standard Ruby+Rails or Python environment, plus willingness to work in both stacks (since we use both)\n* Work experience producing professional, production quality software\n* Passion for climate impact\n\n\n\nQualifications (Nice To Have)\n* Experience with both of the Ruby and Python stacks mentioned above\n* Experience with data analysis using Jupyter notebooks or similar\n* Ability to design and implement great customer experiences\n* Experience with productionized data processing pipelines\n* Knowledge of GIS data, mapping, pathing, etc.\n* Familiarity with AWS\n* Experience processing data from hardware sensors\n\n\n(None of these are required, but if you have experience in these areas, please highlight it in your application!)\n\n\n$170,000 - $195,000 a yearCompensation and Other Details\n• Market salary and equity commensurate with expertise. Directionally, we expect an annual salary in the range of $170k to $195k. We benchmark to 75th percentile of “Tier 1” city compensation (e.g. SF, NYC).• We offer health, dental, and vision insurance via Justworks, our benefits and payroll provider. We contribute 80% of base healthcare plan premiums (regardless of employee plan type (e.g. single vs. family) and 50% of a base dental plan, as well as offer additional contributions to HSAs for employees who select eligible high-deductible plans.• We provide unlimited PTO, unlimited sick leave, 6 weeks paid primary caregiver leave, and 4 weeks paid secondary caregiver leave (flexible as to format, eligibility includes surrogacy and adoptive contexts).• We offer to extend post-termination exercise periods to 10 years when you leave the company so you don’t get screwed out of your options.• We’ll buy you a computer and provide a work-from-home reimbursement to use how you please.• Additional benefits include One Medical, Health Advocate, and Talkspace memberships and a company-sponsored 401k.• This role can be based anywhere in continental U.S. time zones. We have no specific working hours except to “collaborate excellently” within teams - that typically requires overlapping with your teammates at least a few hours per day. (If resident in the U.S., then U.S. work authorization is required.)\n\nOur Commitment to Diversity, Equity, and Inclusion\n\n\nYard Stick’s impact goals go well beyond climate science. Why? Our company operates primarily in the US agricultural sector, which is predicated on centuries of mass land theft and disenfranchisement of Native and Black people. This harm continues today. If we’re going to work in this sector, we need to leave it better than we found it.\n\n\nConsistent with our core value of “Pursue Justice,” we speak up about these issues, and we support emerging solutions and relevant policy efforts such as H.R.40 and S.300. We also publicly highlight the risk of further racial discrimination in emerging agricultural legislation like the Growing Climate Solutions Act.\n\n\nRegarding hiring and culture, we work to create a work environment where everyone feels confident sharing their ideas, problem-solving happens openly and collaboratively, and mistake-making is welcomed. We also standardize our interview process and questions to reduce “likeability” bias, benchmark salaries against industry databases to reduce negotiation, and utilize tools like the Gender Decoder. Climate change is arguably the most complex challenge ever faced by humanity - we need all of humanity activated to fight back, and that motivates us to build a diverse team. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Payroll, Ruby, Microsoft, Senior and Engineer jobs that are similar:\n\n $60,000 — $115,000/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\nOakland, CA

\nAbout Flywheel \n\n\nFlywheel’s suite of digital commerce solutions accelerate growth across all major digital marketplaces for the world’s leading brands. We give clients access to near real-time performance measurement and improve sales, share, and profit. With teams across the Americas, Europe, APAC, and China, we offer a career with real impact, endless growth opportunities and the support you need to be the best you can be.\n\n\n\n\nOpportunity \n\n\nWe're looking for a Mid/Senior Data Engineer to join our team. The best candidates will hit the ground running and contribute to our data team as we develop and maintain necessary data automation, reports, ETL/ELT, and quality controls using leading-edge cloud technologies. You will have a deep knowledge and understanding of all stages in the software development life cycle. The ability to self-start, mentor and manage less experienced data engineers, desire to learn new technology, manage multiple priorities, and strong communication are all in your wheelhouse!\n\n\n\nWhat you'll do: \n* Write high-level, well-documented code in Python and SQLBuild data pipelines that range from simple to complex, using technologies like Apache Airflow and AWS Lambda, Step Functions, and EventBridge, and other AWS serverless technologies.\n* Build ETL pipelines with Snowflake, AWS Glue, pyspark and other ETL tools.\n* Work with a mix of structured and unstructured data across cloud-based batch and streaming architectures\n* Engage directly with technical analysts, project managers, and other technical teams to help build concise requirements and ensure timely completion of projects\n* Work with Git, CI/CD, and version control to maintain code and documentation\n* Design and vet solutions for technical problems, and solicit team feedback during the design process\n* Mentor, manage, train, and participate in paired programming in a lead capacity\n\n\n\nWho you are: \n* Must have experience with version control, GitHub, and software development life cycle\n* 4 years experience with SQL and data modeling\n* 4 years experience developing with Python\n* Demonstrated experience interacting with RESTful APIs\n* Experience with data pipelines / batch automation in at least one major technology (e.g. Apache Airflow)\n* Experience with one of the major cloud providers (AWS-preferred)\n* AWS Serverless (lambda, eventbridge, step functions, sqs)Experience working in an agile development environmentStreaming experience (kafka, kinesis, etc.)\n* Familiarity with JiraExperience with other AWS technologies: EC2, Glue, Athena, etc.\n* Experience with additional cloud platforms beyond AWS\n* Experience developing CI/CD, automations, and quality of life improvements for developers\n\n\n\n\n\nWorking at Flywheel\n\n\nWe are proud to offer all Flywheelers a competitive rewards package and unparalleled career growth opportunities and a supportive, fun and engaging culture. \n\n\n🌍 We have office hubs across the globe where team members can go to feel productive, inspired, and connected to others\n🌴 Vacation time will depend where you're located \n🧠 Great learning and development opportunities\n💜 Benefits will depend on where you're located\n🙌 Volunteering opportunities\n🌿 Learn more about us here: Life at Flywheel\n\n\nThe Interview Process:\n\n\nEvery role starts the same, an introductory call with someone from our Talent Acquisition team. We will be looking for company and values-fit as well as your professional experience; there may be some technical role-specific questions during this call.\n\n\nEvery role is different after the initial call, but you can expect to meet several people from the team 1:1 and there might be further skill assessments in the form of a Take Home Assignment/Case Study Presentation or Pair Programming/Live Coding exercise depending on the role. In your initial call, we will walk you through exactly what to expect the process to be.\n\n\nInclusive Workforce\n\n\nAt Flywheel, our goal is to create a culture where individuals of all backgrounds feel comfortable in bringing their authentic selves to work. We want all Flywheel people to feel included and truly empowered to contribute fully to our vision and goals.\n\n\nFlywheel is an Equal Opportunity Employer and participates in E-Verify. Everyone who applies will receive fair consideration for employment. We do not discriminate based upon race, colour, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability, or any other applicable legally protected characteristics in the location in which the candidate is applying.\n\n\nIf you have any accessibility requirements that would make you more comfortable during the application and interview process, please let us know at [email protected] so that we can support you.\n\n\nPlease note, We do not accept unsolicited resumes.\n\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 Design, Python, Serverless, Cloud 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

\nAbout Status\nStatus is building the tools and infrastructure for the advancement of a secure, private, and open web3. \nWith the high level goals of preserving the right to privacy, mitigating the risk of censorship, and promoting economic trade in a transparent, open manner, Status is building a community where anyone is welcome to join and contribute.\nAs an organization, Status seeks to push the web3 ecosystem forward through research, creation of developer tools, and support of the open source community. \nAs a product, Status is an open source, Ethereum-based app that gives users the power to chat, transact, and access a revolutionary world of DApps on the decentralized web. But Status is also building foundational infrastructure for the whole Ethereum ecosystem, including the Nimbus ETH 1.0 and 2.0 clients, the Keycard hardware wallet, and the Waku messaging protocol (a continuation of Whisper).\nAs a team, Status has been completely distributed since inception. Our team is currently 150+ core contributors strong, and welcomes a growing number of community members from all walks of life, scattered all around the globe. \nWe care deeply about open source, and our organizational structure has minimal hierarchy and no fixed work hours. We believe in working with a high degree of autonomy while supporting the organization's priorities.\n\n\n\nThe role:\n\nStatus Desktop is currently in beta for Mac, Windows and Linux platforms. Current product focus is on the privacy-centric messenger and group chat functionality, and we’ve just kicked off development of our new ‘multi-chain from the ground up’ crypto Wallet. ÐApp browser and blockchain node functionality will follow next. Status desktop is currently built using Nim & QT for the frontend, and it shares a common backend with Status mobile that is written in Go. We are currently in the middle of a large refactor of our architecture. This refactor includes transitioning the QT front end from Nim to C++, moving all business logic to our status-go backend, and upgrading from QT5.14.2 to QT6.2. As we work in the open and are fully open source you can get a better idea of who we are and the work we are doing by browsing our team wiki here and taking a look at our Status Desktop, Status Desktop QML component library and Status Desktop and Mobile Go backend GitHub repos. You can find more information about our desktop effort in this blog post. \n\nThe desktop team is looking for a Test Automation Engineer to help us create a consumer level quality application. In this role you will be working closely with designers to fully understand the design vision for the product, and working with devs to create automated functional tests using the Squish framework (end to end and regression tests). The desktop team is spread out in North America, Europe and Australia, with crossover work hours being the European timezone afternoon on Monday, Wednesday and Friday. Work is async using Status, Google Meet and Github, typically in Scrum Sprints.\n\n\n\nResponsibilities:\n\n\n* Help create test automation framework from scratch (suggested: Squish framework), thus select test design approach, find and suggest remote services for installing apps, integrating with CI/CD process, GitHub and TMS\n\n* Be involved in test methodologies and their corresponding tools\n\n* Participate in the prioritization of the backlog of bugs/feature\n\n* Estimate, prioritize, plan your testing activities\n\n\n\n\nYou ideally will have:\n\n[Don’t worry if you don’t meet all of these criteria, we’d still love to hear from you anyway if you think you’d be a great fit for this role]\n\n\n* 5+ years of test engineering experience on products with a GUI\n\n* 4+ years in test automation\n\n* Prior experience of Froglogic Squish\n\n* Strong knowledge of Python for automation\n\n* Strong understanding of design patterns in test automation\n\n* Self-motivation, a strong sense of ownership and result oriented autonomous worker\n\n* A strong alignment to our principles: https://status.im/about/#our-principle\n\n\n\n\n\nBonus points if:\n\n\n* Prior experience in testing Qt/QML applications\n\n* Experience in testing desktop applications for Windows/OSx/Linux\n\n* Experience with open source development workflow (including GitHub)\n\n* You show a strong interest in blockchain and have a good understanding of Ethereum\n\n* Have worked in a distributed environment that values asynchronous communication\n\n* Experience working in an open-source organization\n\n\n\n\nCompensation:\n\n \nWe are happy to pay in either 100% fiat or any mix of fiat and/or crypto.\n\nHiring process:\n\n\n* Introductory conversation with People Ops team member\n\n* Interview with Desktop Test Lead\n\n* Paid take home task (circa 2h to 4h)\n\n* Interview with Automation Engineer\n\n* Interview Iuri, Desktop Team Lead\n\n\n\n\n[The steps may change along the way if we see it makes sense to adapt the interview stages, so please consider the above as a guideline]\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, Web3, Crypto, Ethereum, Python, Testing, Scrum, Node, Mobile, Engineer, Linux and Backend 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 (Worldwide)

Qredo is a decentralized digital asset management infrastructure and product suite designed to unlock new opportunities for institutional investors in digital assets and decentralized finance. Qredo's Layer 2 blockchain protocol enables users to seamlessly transfer and settle BTC, ETH, and ERC-20 tokens. Assets are secured by Qredo’s advanced Gen 2.0 multi-party computation (MPC), which provides tier-1 bank security and institutional-grade governance.\n*** This is a remote opportunity. We welcome candidates around the globe to apply! *** \nThis is a hands-on role for a highly experienced backend services developer with an interest in blockchain and cybersecurity, and a depth of knowledge and passion for building secure solutions. We can offer unique technical challenges, a supportive and creative environment with the opportunity to have an important role in a fast-growing organisation.\nYou will focus on creating Qredo’s core backend services, a part of larger suite of functionality within its digital asset custody and transfer platform. You will work directly on our core backend codebase, contributing to product design decisions and getting involved in the day-to-day activities of a small but highly productive development team. This is the perfect role for a highly experienced software developer who enjoys adopting new technologies and who sets high standards for themselves and those around them. \nResponsibilities\n\n\n\n* Write high-quality Go code\n\n* Collaborate with colleges to design architecture and test code\n\n* Where possible contribute to our other code bases in C, C++, Python and JavaScript\n\n* Define and follow coding standards (style, testing, reusability etc.)\n\n* Keep informed about new technologies and techniques that will help Qredo to achieve its goals\n\n* Ensure code is deployed safely\n\n* Contribute ideas to our product development process\n\n* Problem solving – including problem diagnosis, bug fixing, troubleshooting and firefighting\n\n* Be available for out of hours support\n\n* At your discretion get involved with other aspects of the work of the R&D Department\n\n\n\nRequirements\n\n\n\n* Computer Science Degree or equivalent industry experience\n\n* 5 years+ experience in software development including minimum 5 years Golang commercial experience\n\n* Proven experience with producing production-ready and highly scalable applications\n\n* Excellent knowledge in Linux shell, scripting and popular CI/CD tools\n\n* Excellent knowledge of Docker and Git\n\n* Experience with SQL (Postgres), NoSQL and distributed databases\n\n* Experience with microservice architecture, message queues and fast k/v stores (Redis)\n\n* Excellent knowledge of HTTP protocol internals, Websockets and RestAPI principles\n\n* C/C++, Python or Javascript is a plus\n\n* Good teamwork and communication skills\n\n* Excellent English \n\n\n\nQredo offers\n\n\n\n* Flexibility to work from anywhere and possibility for international transfer\n\n* Assistance with home office setup as well as offsite team building allowance\n\n* Culturally diverse work environment (we speak 33 languages!)\n\n* Great career development opportunities in a growing company\n\n* Competitive compensation and benefits package within the industry\n\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 Design, Python, Docker, JavaScript, NoSQL, Golang, Engineer, Linux, Backend and Digital Nomad jobs that are similar:\n\n $60,000 — $120,000/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 - Lisbon, Portugal