This role can be based in London or Liverpool (Hybrid) \nOverview:\n\nWe are seeking a highly skilled and experienced software engineer with a strong background in Python and Node.js to join our team. The ideal candidate will have experience working with video and audio. Experience in machine learning frameworks is desirable but not essential. Familiarity with containerization technology like Docker will significantly contribute to our projects. This role could be fully remote (with occasional in-person meet-ups) or based out of our London or Liverpool offices.\n\n \nAbout the Team:\n\nThe PlayStation Studios SHIP team develops, maintains and supports a web portal encompassing a variety of web applications and other tools to meet the needs of first-party game development studios and many other internal groups. These include custom deployments of standard applications such as git repos and Jira bug trackers as well as in-house technology to support tasks such as art reviews and user experience testing. The team is mostly based in the USA with a small UK presence.\n\n \nKey Responsibilities\n\n\n* Design, develop, and implement software solutions to analyse video, audio, and other input streams\n\n* Create efficient algorithms for processing and interpreting log data\n\n* Leverage machine learning technologies to interpret complex data from various sources.\n\n* Collaborate with cross-functional teams to gather requirements, design system architecture, and integrate new features.\n\n* Apply expertise in Python and Node.js to integrate with RESTful APIs.\n\n* Ensure the reliability and performance of all tools and applications by implementing best practices for testing, including unit, integration, and acceptance tests.\n\n* Use Docker and other containerisation technologies for consistent development, testing, and deployment environments.\n\n\n\nBasic Qualifications\n\n\n* Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).\n\n* Minimum of 7 years of professional experience in software development with a focus on Python and Node.js.\n\n* Experience with Docker and a solid understanding of containerization principles.\n\n* Familiarity with Agile/Scrum processes and project management tools such as Jira.\n\n* Comfortable working with teams in other time zones.\n\n* Advanced proficiency with Linux\n\n\n\nPreferred Qualifications\n\n\n* Experience with multi-media processing and analysis.\n\n* Strong understanding and practical experience with machine learning frameworks (e.g. TensorFlow, PyTorch).\n\n* Strong problem-solving skills and the ability to work on complex issues.\n\n* Ability to communicate effectively and collaborate with key stakeholders from different backgrounds and disciplines.\n\n* Leadership skills with a track record of leading projects to successful completion.\n\n* Experience in developing tools and workflows that enhance the productivity of technical teams.\n\n* Proficient with SQL database design, implementation and optimisation.\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, Git, Senior and Engineer jobs that are similar:\n\n $75,000 — $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\nLondon, England, United Kingdom

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

🚀 Whatnot\n\nWhatnot is a livestream shopping platform and marketplace backed by Andreessen Horowitz, Y Combinator, and CapitalG. We’re building the future of ecommerce, bringing together community, shopping and entertainment. We are committed to our values, and as a remote-first team, we operate out of hubs within the US, Canada, UK, Ireland, and Germany today.\n\nWe’re innovating in the fast-paced world of live auctions in categories including sports, fashion, video games, and streetwear. The platform couples rigorous seller vetting with a focus on community to create a welcoming space for buyers and sellers to share their passions with others.\n\nAnd, we’re growing. Whatnot has been the fastest growing marketplace in the US over the past two years and we’re hiring forward-thinking problem solvers across all functional areas.\n💻 Role\n\n\nPartner closely across the business to find improvements/opportunities and influence decisions using data science methodologies and tools\n\nBuild actionable KPIs, create production-quality dashboards and notebooks to convey insights\n\nDefine and advance best practices within an experiment-driven culture\n\nInform product engineering roadmap through analysis of marketplace, user behavior, and product trends\n\n\n\n👋 About You\n\nWe are looking for intellectually curious, highly motivated individuals to be foundational members of our Data team! You will partner with our Engineering, Product, Finance and Operations teams to identify critical goals for the business, develop a deep understanding of them, and design scalable solutions.\n\nYou should have strong critical thinking and analytical skills, excellent communication abilities, and a knack for working across teams in a fast-paced environment. The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from analytics/data engineering and product analytics to machine learning.\n\nIn addition to 6+ years of experience in the Data Analytics field, you should have:\n\n\nExcellent verbal communications, including the ability to clearly and concisely articulate complex concepts to both technical and non-technical collaborators\n\n* Bachelor’s degree in Computer Science, a related field, or equivalent work experience. \n\nDemonstrated history of knowledge in Business Analysis, Statistics, Mathematics, Economics or related technical fields\n\nIndustry experience with proven ability to apply scientific methods to solve real-world problems on large scale data\n\nAbility to lead initiatives across multiple product areas and communicate findings with leadership and product teams\n\nComfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT\n\nExpert in using SQL for data analysis, reporting, and dashboarding\n\nExperience with a scripting language such as Python or R \n\nAptitude and experience in applied statistical modeling and machine learning techniques\n\nFirm grasp of visualization tools, interactive and self-serving, such as business intelligence and notebooks\n\n\n\n💰Compensation\n\nFor US-based applicants: $178,000 - $260,000/year + benefits + stock options\n\nThe salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity in the form of stock options.\n🎁  Benefits\n\n\n* Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)\n\n* Health Insurance options including Medical, Dental, Vision\n\n* Work From Home Support\n\n\n* $1,000 home office setup allowance\n\n* $150 monthly allowance for cell phone and internet\n\n\n\n\n\n* Care benefits\n\n\n* $450 monthly allowance on food\n\n* $500 monthly allowance for wellness\n\n* $5,000 annual allowance towards Childcare\n\n* $20,000 lifetime benefit for family planning, such as adoption or fertility expenses\n\n\n\n\n\n* Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally\n\n* Parental Leave\n\n\n* 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.\n\n\n\n\n\n\n\n💛  EOE\n\nWhatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python and Finance jobs that are similar:\n\n $70,000 — $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

\nThe role\n\nWe are seeking a driven and ambitious Data Analyst to join our growing Data Analytics team, based in Berlin. Our team provides support across all teams like Product, Sales and Operations by developing insights and enabling analytical and automated decision making. We build strong partnerships with key stakeholders and work on challenges such as defining, implementing and tracking company-wide metrics, and leading initiatives to improve them\n\nZenjob is on the mission to become the digital staffing platform delivering companies best staffing experience with the highest flexibility and reliability, and workers the best choice and fair pay for side jobs. Our service is available in over 39 cities in Germany. Our growth financing round of $50 million (€45 million) from February 2022 is helping us to scale our platform and add new data-based automation features for our rapidly growing customer base.\n\nWhat you’ll be doing\n\nRequirements gathering\n\n\n* Collaborate with stakeholders to understand and define data analytical requirements that will help driving business initiatives\n\n* Define KPIs, success and health metrics in the context of product and business initiatives\n\n\n\n\nData collection and preparation:\n\n\n* Identify relevant data sources and work with data engineers and tracking experts to source the right data into the analytics environment\n\n* Prepare data to make it suitable for the analysis in context\n\n\n\n\nData exploration and analysis:\n\n\n* Conduct exploratory data analysis to uncover patterns, trends, and insights\n\n* Utilize statistical methods to extract actionable information from data\n\n* Develop and maintain core data models to support business analysts\n\n\n\n\nExperimentation\n\n\n* Support stakeholders during the hypothesis formulation and validation phase\n\n* With the collaboration of the data science and engineering teams, design and implement experiments around upcoming product features \n\n\n\n\nVisualization and reporting\n\n\n* Design and create effective data visualizations to communicate insights and trends\n\n* Hands-on experience with traditional BI tools (Tableau, Metabase) and, ideally, product analytics tools (Indicative) as well\n\n\n\n\nCommunication and collaboration\n\n\n* Communicate findings and recommendations to both technical and nontechnical audiences\n\n* Collaborate with cross-functional teams, including business analysts, data engineers, and product managers and decision makers\n\n* Provide training and support to end users for interpreting and using data visualizations in a self-service manner effectively \n\n\n\n\nWhat you’ll bring \n\n\n* 5-+ years of relevant experience interpreting data as an analyst or equivalent\n\n* High proficiency in querying and modeling data using Python and SQL\n\n* Ability to translate a business question into an analytical requirement considering its context: what the business is trying to achieve, the processes around it, the systems that interact and the data points available\n\n* Analyze the results of A/B-test experiments and derive conclusions or new hypothesis the business can follow up on\n\n* Great communication skills in stakeholder management from diverse backgrounds\n\n* Great communication skills in storytelling capable of creating a consistent narrative that gives meaning to the numbers\n\n* Extensive experience using different data visualization and reporting tools\n\n* Experience on analytics engineering using dbt is highly desirable\n\n* Plus: experience with experimentation platforms (eg. ABSmartly, Optimizely) and product analytical tools (eg. Indicative, Amplitude)\n\n\n\n\nWhat we offer:\n\n\n* A supportive, open, and fun team that will have your back from day 1. \n\n* Twenty-eight days of vacation (increases based on tenure to up to 30 days), 1-day special leave paid for charity work, five days of paid educational leave, and the option of unpaid leave. \n\n* Hybrid work setup combining office & remote work (3 days from office, 2 days home), flexible working hours, bring your dog policy. \n\n* Ongoing focus on your personal development (annual development budget of EUR 750, mentoring opportunities, continuous career conversations)\n\n* Mental Health support via Likeminded\n\n* Monthly 30 EUR subsidy on Urban Sports Club, 25% discount on FitX gym membership\n\n* Monthly 40 EUR credit for NAVIT- a sustainable mobility solution spanning public transport bike-sharing. \n\n* Tax-free meal allowance (saving EUR ~50 net per month!)\n\n* Quarterly team get togethers, budget for employees birthdays, winter & summer parties plus regular cultural talks & events\n\n\n\n\nIf this sounds exciting to you, then we'd love to find out more about you! Apply and send in your application.\n\nLife at Zenjob revolves around innovation, collaboration, and growth. Check out our video for a glimpse into what it's like to be part of our team: Link to Video 🎥\n\nWe invite you to explore our Career Page, follow our LinkedIn page, and connect with us on Instagram.\n\nWe are proud to be an equal opportunities employer. We are committed to assessing every qualified person according to their skills, regardless of age, gender identity, ethnicity, sexual orientation, disability status or religion. It is not necessary to include your photo and age with your application. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Video and Sales jobs that are similar:\n\n $52,500 — $100,000/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\nBerlin, Berlin, Germany

\nUniphore is one of the largest B2B AI-native companies—decades-proven, built-for-scale and designed for the enterprise. The company drives business outcomes, across multiple industry verticals, and enables the largest global deployments.  \n  \nUniphore infuses AI into every part of the enterprise that impacts the customer. We deliver the only multimodal architecture centered on customers that combines Generative AI, Knowledge AI, Emotion AI, workflow automation and a co-pilot to guide you. We understand better than anyone how to capture voice, video and text and how to analyze all types of data.  \n  \nAs AI becomes more powerful, every part of the enterprise that impacts the customer will be disrupted. We believe the future will run on the connective tissue between people, machines and data: all in the service of creating the most human processes and experiences for customers and employees. \n\n\nJob Description:\n\n\nUniphore is the global leader in Conversational Automation. Every day, billions of conversations take place across industries — customer service, sales, HR, education and more. Whether they are human to human, human to machine or machine to machine, conversations are at the heart of everything we do, and the new currency of the enterprise. \n\n\nAt Uniphore, we believe companies that best understand and act on those conversations will win. We have built the most comprehensive and powerful conversational automation platform that combines conversational AI, workflow automation, and RPA (Robotic Process Automation) with a business user-friendly-UX (User Experience) in a single integrated platform to transform and democratize customer experiences across industries. \n\n\nWe are a speech-and-video AI technology company creating path-breaking and mind-numbing products using AI, NLP, and ML technologies. \nWe are growing and looking for talented engineers with a passion for creating world-class uber-scale applications who always think “customer-first.”  \n  \nWho you are \nWe are looking for a Software Engineer who is a strong team player and has experience in building backend systems that operate at scale in complex cloud-hybrid environments. You will have: \n·       Strong sense of being an owner, wearing the customer’s shoes, with the ability to empower others demonstrated through clear communication and collaboration. \n·       Passion for building modular systems using reusable components, SDKs etc. \n·       Ability to think at scale, bringing a focus on continuous delivery methodologies from design through deployment and operations, always seek to improve and innovate on the status quo \n\n\nMust have: \n·       1-2 years of experience in building and operating high-scale, mission critical cloud-based production systems \n·       Mastery at least in one of these platforms: GoLang, Python or Java \n·       Contribute to building features by writing clean, maintainable and high-quality code \n·       Familiarity with data models, data store and data lake architectures\n·       Familiarity with Kubernetes and Docker \n·       Familiarity with running real time and low latency high available applications (streaming through Kafka or gRPC) \n·       Bachelor's or Master's degree in engineering, Computer Science, or equivalent experience \n \nNice to have: \n·       Knowledge of architectural patterns and archetypes for building distributed and federated micro-services \n·       Experience working with Data Engineering/Analytics infrastructure \n·       Experience in Speech technologies and AI Infrastructure technologies \n\n\n\n\n₹0 - ₹0 a year\n\nUniphore is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.\n \nFor more information on how Uniphore uses AI to unify—and humanize—every enterprise experience, please visit www.uniphore.com.\n\n\nAll applicants - to review our privacy notice, please click here\n\n\nInformation regarding recruiting and phishing scams: \nEmployment offers will always be made by a Uniphore hiring manager or Talent Acquisition team member with a @uniphore.com email address only. We will never text you about an employment opportunity, interviews or employment offers, and we do not make job offers after only one interview. Additionally, we will never ask you to provide funds for onboarding, supplies or anything else, nor we will ask you to submit your personal information (date of birth, passport details, banking information, social security number, etc.) as part of the interview process. If you are receiving an employment inquiry or employment offer from a non Uniphore.com email address, please assume it is spam. If you believe you have been a victim of a phishing or false employment scam, you may want to report this incidents to the FBI iC3, or visit the Department of Homeland Security’s Cyber Smart website to learn how to report such scam. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Video, Education, Engineer and Backend jobs that are similar:\n\n $45,000 — $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\nBangalore