\nAbout MoonPay 🌖💸\n\n\nHi, we’re MoonPay. We’re here to onboard the world to Web3.\n\n\nWhy? Because we think Web3 is a unique and democratising technology. It gives people back control of their money, digital identity, data, and property like nothing else before it.\n\n\nWhat we do\nWe’re the leading infrastructure company in Web3. This means we offer our partners everything from payment solutions (we call them 'Ramps') to minting software for digital collectibles, like NFTs. And over 30 million people around the world now trust our products — just take a look on Trustpilot.\n\n\nWe’re also big on collaborations. And we've worked on stunts, drops, and partnerships with some of the world's most prestigious and forward-thinking brands.\n\n\nBut that’s not all. We have also built our own consumer app because we wanted to see if we could build a better Web3 account. It’s taken off in a big way, and we're working hard to continually improve it and to strive for perfection.\n\n\nSo whatever your background, we’re sure there’s something for you here. Come help us build the future of Web3 and digital ownership.\n\n\n🌍 Location supported \nThis role can be performed remotely from the United Kingdom, Poland, South Africa, Spain, Portugal, or Romania. \nUnfortunately we do not offer business to business contracting arrangements. \n\n\n🌔 About the Opportunity \nOur engineering discipline builds the technology that enables MoonPay to learn quickly and scale easily. We organize in small cross-functional squads of 4-6 engineers and an embedded Product Manager and Product Data Analyst. We currently have squads across Crypto / NFT / Payments / KYC / Core Product and others. We’re pragmatic and believe in having fluid structure, this means people can move between teams or specialise.\n\n\n🚀 What you will do\n* Architect and develop new and existing products and features.\n* Work with Product Managers to come up with the best solutions and implementation plans for new features or changes to existing ones.\n* Collaborate with other product teams to deliver and improve customer facing features.\n* Contribute to the estimations, planning and execution of  projects, features, and integrations.\n* Integrate and work closely with external service providers to ensure smooth operation.\n* Maintain and improve our existing codebase.\n* Write fully tested, high quality and performant \n\n\n🧑‍🚀 About You\n* Extensive backend engineering experience at leading startups or fast growing tech companies.\n* Confident in developing, releasing and maintaining server applications in a fast paced, iterative environment. \n* Experience with some of our tech stack, or confident you can cross train and up skill quickly. \n* Have a deep understanding of database structures, theories, principles, and best practices.\n* Hold Cloud native experience with Google Cloud or similar e.g AWS, Azure.\n* Bonus points if you make open-source contributions or have experience in web3.\n\n\nAs a Senior you will be expected to:\n* Mentor and coach Engineers.\n* Champion the writing of high quality code.\n* Contribute to our overall approach and standards within the Engineering discipline. Including design, documentation, monitoring and alerting.\n* Lead initiatives from an engineering perspective, partnering closely with product managers.\n\n\nWhat you be working with\n* Typescript \n* React and NextJS \n* Node.js \n* TypeORM, TypeDI, TypeGraphQL and routing-controllers\n* Google Cloud Platform \n* Postgres \n* Redis \n* Bull\n* DataDog \n* GitHub \n* Jest \n\n\n\n\n\n\nMost importantly, though, you will embody the core principles that everyone here at the MoonPay lives by. Our “BLOCK Values” are at the heart of everything we do - and they are…\n\n\nB - Be Hungry\nL - Level Up\nO - Own It\nC - Crypto Curious\nK - Kaizen\n\n\nMoonPay Perks\nEquity package 📈\nUnlimited holidays 🏝\nPaid parental leave 🍼\nAnnual training budget 💻\nHome office setup allowance 🪑\nMonthly budget to spend on our products 💰\nWorking in a disruptive and fast-growing industry where the possibilities are endless 🚀\nFreedom, autonomy and responsibility 💪\n\n\nResearch has shown that women are less likely than men to apply for this role if they do not have experience in 100% of these areas. Please know that this list is indicative, and that we would still love to hear from you even if you feel that you are only a 75% match. Skills can be learnt, diversity cannot.\n\n\nPlease let us know if you require any accommodations for the interview process, and we’ll do our best to provide assistance. \n\n\nCommitment To Diversity\nAt MoonPay we believe that every voice matters. We strive to create a mindful and respectful environment where everyone can bring their authentic self to work, and experience a culture that is free of harassment, racism, and discrimination. That’s why we are committed to diversity and inclusion in the workplace and are a proud equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. This policy applies to all employment practices within our organization, including, but not limited to, hiring, recruiting, promotion, termination, layoff, and leave of absence.\nMoonPay is also committed to providing reasonable accommodations in our job application procedures for qualified individuals with disabilities. Please inform our Talent Team if you need any assistance completing any forms or to otherwise participate in the application process.\n\n\nPlease be aware that MoonPay does not request an AI-led interview without seeing a recruiter or team member from MoonPay on video call. We won't ask for your personal identification documents or any money from you during your interview process with us. Be fraud smart! If you receive an email - claiming to be from MoonPay - but from an email address ending in anything other than @moonpay.com, please be aware that this is not us. \n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Web3, Crypto, Video, Cloud, Senior, Engineer and Backend jobs that are similar:\n\n $60,000 — $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

\nAbout MoonPay 🌖💸\n\n\nHi, we’re MoonPay. We’re here to onboard the world to Web3.\n\n\nWhy? Because we think Web3 is a unique and democratising technology. It gives people back control of their money, digital identity, data, and property like nothing else before it.\n\n\nWhat we do\nWe’re the leading infrastructure company in Web3. This means we offer our partners everything from payment solutions (we call them 'Ramps') to minting software for digital collectibles, like NFTs. And over 30 million people around the world now trust our products — just take a look on Trustpilot.\n\n\nWe’re also big on collaborations. And we've worked on stunts, drops, and partnerships with some of the world's most prestigious and forward-thinking brands.\n\n\nBut that’s not all. We have also built our own consumer app because we wanted to see if we could build a better Web3 account. It’s taken off in a big way, and we're working hard to continually improve it and to strive for perfection.\n\n\nSo whatever your background, we’re sure there’s something for you here. Come help us build the future of Web3 and digital ownership.\n\n\nOur engineering discipline builds the technology that enables MoonPay to learn quickly and scale easily. We currently have squads across Crypto / Payments / KYC / Core Product and others. We’re pragmatic and believe in having a fluid structure; this means people can find opportunities in different domains or go deeper into a particular domain\n\n\n\nWhat you will do…\n* Architect and develop new and existing products and features on monetization.\n* Work with the head of monetization, other data scientists, and engineers to implement new experimentation and algorithmic pricing features across RAMPs, DeFi Trading, and Swaps.\n* Collaborate with other product teams to deliver and improve customer-facing features.\n* Contribute to the estimations, planning, and execution of projects, features, and integrations.\n* Integrate and work closely with external service providers that we use to power our services.\n* Maintain and improve our existing codebase.\n* Write fully tested, high-quality, performant code.\n\n\n\nAbout You 🙋\n* Extensive full-stack engineering experience at leading startups or fast-growing tech companies, ideally from marketplace or platform-type businesses where algorithmic pricing and AB testing were heavily used.\n* Experience working on projects involving pricing, promotions, rewards, and/or loyalty programs with backend and frontend technologies.\n* Experience building experimentation platforms and infrastructure for algorithmic pricing solutions. \n* You know how to leverage continuous delivery for it.\n* Confident in developing, releasing and maintaining server applications in a fast paced, iterative environment where we work as a team, and not in silos.\n* Experience with our tech stack, or confident you can cross-train and up-skill quickly. \n* Have a deep understanding of database structures and system design\n* Hold Cloud native experience with Google Cloud or similar e.g. AWS, Azure.\n* Bonus points if you make open-source contributions or have experience in web3.\n\n\n\nWhat you will be working with…\n* Typescript as our programming language of choice \n* Node.js as our backend platform\n* Google Cloud Platform to host our services\n* Git/GitHub for code collaboration\n* Launch Darkly for feature flags and experimentation\n* Data Dog for logs, real-time alerting and monitoring\n* Argo CD for deployments\n* Redis for caching\n* React as our web frontend\n* Big bonus points if you also have some working experience with React Native\n* GenAI tools such as Cursor\n\n\n\n\n\n\nMost importantly, though, you will embody the core principles that everyone here at the MoonPay lives by. Our “BLOCK Values” are at the heart of everything we do - and they are…\n\n\nB - Be Hungry\nL - Level Up\nO - Own It\nC - Crypto Curious\nK - Kaizen\n\n\nMoonPay Perks\nEquity package 📈\nUnlimited holidays 🏝\nPaid parental leave 🍼\nAnnual training budget 💻\nHome office setup allowance 🪑\nMonthly budget to spend on our products 💰\nWorking in a disruptive and fast-growing industry where the possibilities are endless 🚀\nFreedom, autonomy and responsibility 💪\n\n\nResearch has shown that women are less likely than men to apply for this role if they do not have experience in 100% of these areas. Please know that this list is indicative, and that we would still love to hear from you even if you feel that you are only a 75% match. Skills can be learnt, diversity cannot.\n\n\nPlease let us know if you require any accommodations for the interview process, and we’ll do our best to provide assistance. \n\n\nCommitment To Diversity\nAt MoonPay we believe that every voice matters. We strive to create a mindful and respectful environment where everyone can bring their authentic self to work, and experience a culture that is free of harassment, racism, and discrimination. That’s why we are committed to diversity and inclusion in the workplace and are a proud equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. This policy applies to all employment practices within our organization, including, but not limited to, hiring, recruiting, promotion, termination, layoff, and leave of absence.\nMoonPay is also committed to providing reasonable accommodations in our job application procedures for qualified individuals with disabilities. Please inform our Talent Team if you need any assistance completing any forms or to otherwise participate in the application process.\n\n\nPlease be aware that MoonPay does not request an AI-led interview without seeing a recruiter or team member from MoonPay on video call. We won't ask for your personal identification documents or any money from you during your interview process with us. Be fraud smart! If you receive an email - claiming to be from MoonPay - but from an email address ending in anything other than @moonpay.com, please be aware that this is not us. \n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Web3, Crypto, React, Testing, Cloud, Senior, Engineer and Backend jobs that are similar:\n\n $67,500 — $97,500/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nAbout MoonPay 🌖💸\n\n\nHi, we’re MoonPay. We’re here to onboard the world to Web3.\n\n\nWhy? Because we think Web3 is a unique and democratising technology. It gives people back control of their money, digital identity, data, and property like nothing else before it.\n\n\nWhat we do\nWe’re the leading infrastructure company in Web3. This means we offer our partners everything from payment solutions (we call them 'Ramps') to minting software for digital collectibles, like NFTs. And over 20 million people around the world now trust our products — just take a look on Trustpilot.\n\n\nWe’re also big on collaborations. And we've worked on stunts, drops, and partnerships with some of the world's most prestigious and forward-thinking brands.\n\n\nBut that’s not all. We have also built our own consumer app because we wanted to see if we could build a better Web3 account. It’s taken off in a big way, and we're working hard to continually improve it and to strive for perfection.\n\n\nSo whatever your background, we’re sure there’s something for you here. Come help us build the future of Web3 and digital ownership.\n\n\n🌍 Location supported \nThis role can be performed remotely from the United Kingdom, Poland, South Africa, Spain, Portugal, or Romania. If you are currently located outside these countries, relocation will be required. Visa sponsorship and relocation support are available for the UK only for this role.\n\n\nUnfortunately we do not offer business to business contracting arrangements.\n\n\n🌔 About the Opportunity \nAs an Engineering Manager, you are responsible for driving success for your engineering team(s). We expect our EMs to be technically strong, understand how to break down work, and support the growth and career development of our engineers. We are a fast-moving company, which requires balancing priorities, releasing quality features, and ensuring a high level of uptime. We expect our EMs to be strong communicators with the ability to easily work cross-functionally with our disciplines.\n\n\nTech Stack \n* Typescript as our programming language of choice \n* Node.js as our backend platform\n* React, React Native andNextJS as our frontend\n* Google Cloud Platform to host our services\n\n\n🚀 What you will do\n* Manage, support, coach and develop high performing engineers through regular 1:1 and continuous feedback.\n* Partner with our VP of Engineering and Group Product Manager to ensure we build high-performing teams that consistently and iterate and deliver high-impact and high-quality work.\n* Lead on the creation, development and implementation of  management best practice and tools e.g progression frameworks. \n* Partner with Senior Engineers to drive technical initiatives that raise the bar for our engineering practices.\n* Leading ongoing engineering work, ensuring timely delivery.\n\n\n🧑‍🚀 About You\n* You have experience managing the performance and development of high-performing Engineers, including seniors and leads, at a high growth, rapidly scaling startups.\n* You know what good looks like for a high-performing team of Engineers and know how to get there.\n* You have previously worked as an Engineer at a senior level.\n* You have an empathetic leadership style and you build strong, effective relationships.\n* You care deeply about helping others achieve their goals and become the best Engineers they can be.\n* You are a fantastic communicator and able to work cross-functionally with our engineering team and other areas of the business.\n* You thrive when developing great people and great products at scale.\n* You are data driven and know how to work cross functionally with Product and Design.\n* You have experience from successful delivery of high-quality outcomes.\n\n\n\n\n\n\nMost importantly, though, you will embody the core principles that everyone here at the MoonPay lives by. Our “BLOCK Values” are at the heart of everything we do - and they are…\n\n\nB - Be Hungry\nL - Level Up\nO - Own It\nC - Crypto Curious\nK - Kaizen\n\n\nMoonPay Perks\nEquity package 📈\nUnlimited holidays 🏝\nPaid parental leave 🍼\nAnnual training budget 💻\nHome office setup allowance 🪑\nMonthly budget to spend on our products 💰\nWorking in a disruptive and fast-growing industry where the possibilities are endless 🚀\nFreedom, autonomy and responsibility 💪\n\n\nResearch has shown that women are less likely than men to apply for this role if they do not have experience in 100% of these areas. Please know that this list is indicative, and that we would still love to hear from you even if you feel that you are only a 75% match. Skills can be learnt, diversity cannot.\n\n\nPlease let us know if you require any accommodations for the interview process, and we’ll do our best to provide assistance. \n\n\nCommitment To Diversity\nAt MoonPay we believe that every voice matters. We strive to create a mindful and respectful environment where everyone can bring their authentic self to work, and experience a culture that is free of harassment, racism, and discrimination. That’s why we are committed to diversity and inclusion in the workplace and are a proud equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. This policy applies to all employment practices within our organization, including, but not limited to, hiring, recruiting, promotion, termination, layoff, and leave of absence.\nMoonPay is also committed to providing reasonable accommodations in our job application procedures for qualified individuals with disabilities. Please inform our Talent Team if you need any assistance completing any forms or to otherwise participate in the application process.\n\n\nPlease be aware that MoonPay does not request an AI-led interview without seeing a recruiter or team member from MoonPay on video call. We won't ask for your personal identification documents or any money from you during your interview process with us. Be fraud smart! If you receive an email - claiming to be from MoonPay - but from an email address ending in anything other than @moonpay.com, please be aware that this is not us. \n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Web3, Crypto, React, Cloud, Typescript, Senior, Engineer and Backend jobs that are similar:\n\n $60,000 — $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

\nOur vision is to build the next generation platform to enable easy and fast creation of audio and video content powered by cutting-edge AI. Building a revolutionary way to record, transcribe, edit and mix spoken audio and video comes with a series of unique challenges and requires solving hard and complex problems. As Descript continues to grow, with generative AI at the heart of our mission to empower our users, we are actively seeking a Senior AI Platform Engineer. \n \nThis pivotal role involves deploying and optimizing our cutting-edge AI models for audio and video content creation. The ideal candidate for this role has extensive experience building infrastructure to efficiently train and deploy state of the art models, improving performance of model training and inference, strong low-level understanding of GPU workloads, and thrives in a fast moving, high-ownership environment.\nWhat You’ll Do\n\n\n* Design, implement, and maintain our AI infrastructure supporting our machine learning life cycle, including data ingestion, training, evaluation, and deployment.\n\n* Collaborate with Machine Learning Engineers and Data Scientists to understand their infrastructure needs and ensure our AI systems are robust, scalable, and efficient.\n\n* Work on optimizing and scaling of our models and algorithms for efficient inference.\n\n* Deploy, monitor, and manage AI models in production.\n\n* Implement rigorous security protocols to protect sensitive data and prevent abuse.\n\n* Collaborate with cross-functional teams to drive product requirements and improve our AI platform.\n\n* Stay up-to-date with the latest industry trends and technologies, and be ready to present potential use cases to the team.\n\n\n\nWhat You Bring\n\n\n* Experience in deploying and managing AI models in production.\n\n* Knowledge of Python, C/C++, CUDA, and experience profiling GPU performance and distributed training runs.\n\n* Experience with machine learning frameworks like PyTorch, TensorFlow or similar.\n\n* Familiarity with cloud platforms (AWS, Google Cloud, Azure) and container technologies (Docker, Kubernetes).\n\n* Strong problem-solving abilities and excellent communication skills.\n\n\n\nNice to Have:\n\n\n* Experience with generative AI models.\n\n* Familiarity with audio and video processing.\n\n* Knowledge of DevOps best practices.\n\n\n\n\nAt our current size and stage, we embrace a flat organizational structure and value the expertise and contributions of every team member. As such, we have a unified job title for our engineering roles where everyone, including those with Staff-level scope, is considered a Software Engineer. While titles may not change, we are actively seeking senior and above Software Engineers to join our team.\n\nThe base salary range for this role is $160,000- $215,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, and may vary from the amount above.\n  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to DevOps, Video, Cloud, Senior and Engineer jobs that are similar:\n\n $60,000 — $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\nSan Francisco Bay Area, California, United States

\nOur vision is to build the next generation platform to enable easy and fast creation of audio and video content powered by cutting-edge AI. Building a revolutionary way to record, transcribe, edit and mix spoken audio and video comes with a series of unique challenges and requires solving hard and complex problems. As Descript continues to grow, with generative AI at the heart of our mission to empower our users, we are actively seeking a Senior AI Platform Engineer. \n \nThis pivotal role involves deploying and optimizing our cutting-edge AI models for audio and video content creation. The ideal candidate for this role has extensive experience building infrastructure to efficiently train and deploy state of the art models, improving performance of model training and inference, strong low-level understanding of GPU workloads, and thrives in a fast moving, high-ownership environment.\nWhat You’ll Do\n\n\n* Design, implement, and maintain our AI infrastructure supporting our machine learning life cycle, including data ingestion, training, evaluation, and deployment.\n\n* Collaborate with Machine Learning Engineers and Data Scientists to understand their infrastructure needs and ensure our AI systems are robust, scalable, and efficient.\n\n* Work on optimizing and scaling of our models and algorithms for efficient inference.\n\n* Deploy, monitor, and manage AI models in production.\n\n* Implement rigorous security protocols to protect sensitive data and prevent abuse.\n\n* Collaborate with cross-functional teams to drive product requirements and improve our AI platform.\n\n* Stay up-to-date with the latest industry trends and technologies, and be ready to present potential use cases to the team.\n\n\n\nWhat You Bring\n\n\n* Experience in deploying and managing AI models in production.\n\n* Knowledge of Python, C/C++, CUDA, and experience profiling GPU performance and distributed training runs.\n\n* Experience with machine learning frameworks like PyTorch, TensorFlow or similar.\n\n* Familiarity with cloud platforms (AWS, Google Cloud, Azure) and container technologies (Docker, Kubernetes).\n\n* Strong problem-solving abilities and excellent communication skills.\n\n\n\nNice to Have:\n\n\n* Experience with generative AI models.\n\n* Familiarity with audio and video processing.\n\n* Knowledge of DevOps best practices.\n\n\n\n\nAt our current size and stage, we embrace a flat organizational structure and value the expertise and contributions of every team member. As such, we have a unified job title for our engineering roles where everyone, including those with Staff-level scope, is considered a Software Engineer. While titles may not change, we are actively seeking senior and above Software Engineers to join our team.\n\nThe base salary range for this role is $160,000- $215,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, and may vary from the amount above.\n  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to DevOps, Video, Cloud, Senior and Engineer jobs that are similar:\n\n $60,000 — $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\nSan Francisco Bay Area, California, United States

WE ARE VERITONE \n\nVeritone (NASDAQ: VERI) designs human-centered AI solutions. Serving customers in the talent acquisition, media, entertainment and public sector industries, Veritone’s software and services empower individuals at the world’s largest and most recognizable brands to run more efficiently, accelerate decision making and increase profitability. Veritone’s leading enterprise AI platform, aiWARE™, orchestrates an ever-growing ecosystem of machine learning models, transforming data sources into actionable intelligence. By blending human expertise with AI technology, Veritone advances human potential to help organizations solve problems and achieve more than ever before, enhancing lives everywhere. To learn more, visit Veritone.com.\nWHAT YOU’LL DO \n\nTechnical Pre-Sales Support:\n\n\nCollaborate with the sales team to understand customer requirements and pain points.\n\nConduct in-depth product demonstrations and presentations tailored to client needs.\n\nDevelop RFP responses, scope platform integration and extension SOWs, carry-out POCs.\n\nDevelop and deliver technical proposals, including system architecture, integration plans, and customization options.\n\n\n\n\nSolution Design and Consultation:\n\n\nWork with clients to design and configure solutions that meet their specific requirements.\n\nProvide technical consulting during the sales cycle, including proof-of-concept (POC) and pilot projects.\n\n\n\n\nProduct Expertise:\n\n\nMaintain an expert-level understanding of Veritone’s SaaS products and their applications in the broadcast industry.\n\nBuild deep technical expertise on the platform and integrated solutions and use those skills to address customer issues as needed.\n\nStay updated on industry trends, competitive landscape, and emerging technologies.\n\nProvide clear and constructive feedback to the Veritone product team.\n\n\n\n\nClient Engagement:\n\n\nBuild and maintain strong relationships with key technical stakeholders at client organizations.\n\nAct as the primary technical point of contact for prospects and customers during the sales process.\n\n\n\n\nCollaboration and Feedback:\n\n\nCollaborate with product management and engineering teams to provide customer feedback and influence product development.\n\nAssist in the creation of technical sales collateral, including whitepapers, case studies, and presentations.\n\nDevelop specifications for  Veritone platform integrations and extensions for outsourced development for more complex development initiatives.\n\n\n\n\nPost-Sales Support:\n\n\nTransition successfully closed deals to the implementation and support teams.\n\nProvide initial post-sales technical support and training to ensure smooth onboarding.\n\nProvide technical assistance with provisioning and configuration activities.\n\n\n\nWHAT YOU'LL NEED \n\n\nBA/BS in  in Computer Science or Computer Programming, Broadcast Production related field or equivalent work experience\n\n5+ years of experience working on distributed enterprise software products\n\n2+ years of experience in Post Production\n\nBackground supporting clients from Media, Entertainment and/or Broadcast industries\n\nAbility to effectively prioritize and execute tasks in a high pressure, startup environment\n\nHands-on development or product management experience \n\nProven analytical and problem-solving skills\n\nProven customer-facing skills\n\nStrong project management skills\n\nExperienced knowledge of industry standards for video/audio codecs, file formats, bit rates, video/audio graphics for web, social, and digital use, as well as broadcast\n\nFamiliar with Avid and Adobe Creative Suite\n\nWorking knowledge of the post-production ecosystem and digital supply chain\n\nPractical  experience with cloud based storage services\n\nAbility to demonstrate troubleshooting techniques and problem solve with minimal direction\n\nStrong teamwork mentality to collaborate with internal and external partners\n\nCan work in an independent capacity as necessary\n\nAble to exude patience and understanding in client facing and high-pressure situations\n\n\n\nWHAT WE OFFER \n\n\nAn incredible opportunity to impact AI for good and empower the human with AI solutions and services\n\nA competitive compensation package\n\nParticipation in the Company’s Equity Program \n\nRemote first + Hybrid workplace\n\nVERI Communities (Affinity Groups) & Belonging\n\nEmpowerment to build your career journey at Veritone\n\nFlexible (Paid) Time Off\n\nBenefits Program: medical, dental, vision, 401K matching, and more!\n\nMental health awareness and support\n\n\n\nOUR CULTURE\n\n\n\n\nLoves learning & continuous growth; stays current on marketing trends\n\nCan juggle multiple projects, priorities, and deadlines with a positive attitude\n\nComfortable in a fast-paced, small company environment\n\nCollaborative and always contributing value\n\nDriven to win as a team\n\nRemote first workplace\n\nCheck us out! \n\n\n\n\nVeritone is a leading provider of artificial intelligence (AI) technology and solutions. The company's proprietary operating system, aiWARE, orchestrates an expanding ecosystem of machine learning models to transform audio, video and other data sources into actionable intelligence. We love to continuously grow while staying ahead of trends and creating structure in an unstructured world. \n\nIf you’ve made it this far and align with our goals, we look forward to reviewing your qualifications!\n\nDISCLOSURE\n\nOur company provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.\n\n(Colorado & California Only*): Minimum annual salary of $138,000.00. This base pay is for illustrative purposes only and will be determined based on skills and experience comparable to the job requirements. This position may be eligible for additional compensation and benefits including but not limited to: incentive compensation; health benefits; retirement benefits; life insurance; paid time off; parental leave and benefits; and other employee perks and benefits.\n\n*Note: Disclosure as required by sb19-085 (8-5-20) of the minimum salary compensation for this role when being hired in California & Colorado.\n\n#LI-DS1 \n#LI-REMOTE\n\n#pandoiq \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, SaaS, Video, Cloud, Marketing, Sales and Engineer jobs that are similar:\n\n $60,000 — $105,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nNew York City, New York, United States

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 We Are:\n\nFounded in 2018 by engineers from Stanford, Cisco Meraki, and Samsara, Spot AI is the fastest growing Video Intelligence company in the U.S. We are upending the $30 billion video surveillance market with an AI Camera System to help people at work create safer, smarter organizations. In the process, we’re disrupting video security to create a new category of Video Intelligence.\n\nWe are experiencing tremendous growth and are deployed at thousands of locations across businesses in 17 different verticals, ranging from local businesses to Fortune 500s. Our customers range from warehousing and healthcare to nonprofits and car washes including SpaceX, ExtraSpace Storage, WineDirect, YMCA, and Veg Fresh Farms.\n\nWe’ve recently raised $40M Series B financing to continue to transform how organizations use their video footage. We’re backed by Scale Venture Partners, Redpoint Ventures, Bessemer Venture Partners, StepStone Group, and MVP Ventures.\n\nWho You Are:\n\nYou’re a self-driven, highly skilled AI Infrastructure Engineer with expertise in designing, architecting, and productizing computer vision or other AI systems in cloud and on edge. You excel at building and shipping infrastructure and tooling for computer vision or other AI products in production, and bring a combination of passion and creativity along with a pragmatic approach. You have the skills to architect distributed AI systems that can handle millions of hours of customer footage. You know how to work cross functionally to meet the needs of multiple stakeholders, and you have a track record of success.\n\nNote: candidates for this role must be geographically located in the United States.\nWhat Excites You:\n\n\n\n* Working and mutually learning from an extremely high caliber engineering team\n\n* Developing real-time, high availability video intelligence systems in cloud and on edge, with lots of ownership and opportunities to implement novel solutions\n\n* Delivering video intelligence infrastructure and tools in ways that are thoughtful about end user privacy, such as edge inference and federated training\n\n* Designing, owning and scaling end-to-end edge and cloud AI platforms\n\n* Operating with autonomy in a fast paced environment\n\n* Communicating directly with customers to better understand their use-cases for iterating on future product roadmap\n\n\n\nWhat Gets Our Attention:\n\n\n* 3+ years of experience building and productizing AI infrastructure at scale both in cloud AND on edge\n\n* Track record of delivering outstanding results\n\n* Strong engineering fundamentals with various back-end technologies\n\n* Expertise leveraging leading cloud AI platforms, such as GCP, Azure, or AWS for real-time inferencing\n\n* Experience with big data processing technologies and databases, such as Apache Beam, Hadoop, Spark, Kafka, Pub/Sub, Dataflow, BigQuery or Bigtable\n\n* Experience with real-time, edge AI systems with limited memory and compute resources\n\n* Experience building MLOps tools for automated testing, training and deployment\n\n* Outstanding communication skills\n\n* Ability to prioritize and synthesize engineering tasks with first principles thinking\n\n* Ability to rapidly pick up new technologies and techniques and implement them\n\nBachelor's degree in computer science or a related field; master's degree or higher preferred\n\n\n\nWhat’s In It For You:\n\n\nBase Salary Range: $123,000 - $190,000. Offered salary will be based on the offered candidate’s demonstrated attributes and competencies related to the role, as well as the offered candidate’s geographical location within the United States.  Your recruiting partner can share more details about the compensation range as it relates to your geography once your interview process has begun\n\nGenerous early stage equity\n\nMedical, dental and vision plan options \n\n401K with employer match\n\nFlexible and supportive time off practices, including self-managed PTO and a generous new parent leave policy\n\nLearning and development opportunities\n\nRemote work flexibility, including a stipend to set up your ideal home office\n\n\n\n\nWhat We Value:\n\nWe operate under a trio of company values:\n\nCustomer First, Always.  We are relentlessly curious about our customer’s goals, and seek the simplest solutions to solve their problems.\n\nOwn Your Outcomes.  We bias towards action, move fast, and iterate.  Everyone on our team is empowered to make decisions.\n\nIt’s a team effort.  We help each other succeed.  We leverage each other’s strengths to accomplish big goals together.\n\n\n\nAnd, we are creating and cultivating a diverse and inclusive culture where we celebrate individuals for what they accomplish, no matter who they are!  As an equal opportunity employer, we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.\n\nCome join our journey! \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Video, Cloud, Senior, Excel and Engineer jobs that are similar:\n\n $50,000 — $80,000/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

About ConsenSys Health:\n \nConsenSys Health helps the healthcare industry operate Ethereum-based solutions for cybersecurity, compliance, privacy, bioethics and identity with the deep technical capabilities of ConsenSys to advance the healthcare industry.\n \nWe want our team, and the world, to think of the work we're doing as life-and-death-significant.  Critical for the future of humanity. While we laugh and have a good time, it's no joke, because of how much our results MATTER.\n \nRigor | Discipline | Seriousness | Significance\nUrgency | Customer-obsessed | Intrinsically-motivated | Excellence\n \nWe use innovations, e.g. blockchain and machine learning, to create sustainable and value-based healthcare.\n \nWeb: https://consensyshealth.com/\n \nJob Description\n \nSenior Application Integration Engineer \n \nJob Summary\nAssist and enable Health Utility Network (HUN) Member Enterprise engineers and developers to connect to the HUN infrastructure and to leverage HUN utilities and solutions. \n \nBroad responsibilities include:\n●      Owning the technical engagement and ultimate success around specific implementation projects.\n●      Helping entire organizations and individuals understand application architectures and integration approaches.\n●      Providing a balance of technical expertise and a deep understanding of business processes and IT problems faced at the enterprise level to identify and create solutions via the HUN. \n●      Crucial part of the first impression and experience members will have with the HUN\n●      Comfort discussing complex technical details with engineers and briefing an executive audience.\n●      Helping members accelerate their adoption of HUN solutions\n●      Educating members on the value proposition of HUN solutions\n●      Discovery and analysis of members' business and technical problems to provide the appropriate integration that aligns to their needs\n●      Deep product knowledge of the HUN’s Integration options, including  API management , data pipelines, and related technologies, to provide technical leadership to the HUN team and the member through presentations, demonstrations, workshops, and proofs of concept.\n●      Collaborating broadly with HUN and ConsenSys Health Engineering and Business Units, Professional Services, and partners to ensure excellent member experience with our offerings and solutions OR>>>>\n●      OR…..Acting as a technical liaison between members, partners, service engineering teams and support\n \nRequired Skills:\n●      5+ years of experience as a systems engineer, consultant, architect, or equivalent role; experience in sales is a plus\n●      BA/BS degree preferred or equivalent work experience required\n●      Excellent communication, people, and presentation skills, with a record of developing relationships at multiple levels of the IT organization.\n●      Deep experience developing or deploying enterprise application integrations using technologies like Fuse (Camel), API management (3Scale), and AMQ Streams (Kafka)\n●      Experience with development technologies, including Spring Boot, Node.js, JBoss EAP, J2EE, or OpenJDK\n●      Experience building integrations across WFM, CRM, and contact center solutions\n●      Experience with communications protocols and APIs such as WebRTC and SIP\n●      Experience with scripting (e.g. python, java, c#, .NET, Node.js)\n●      Experience with container platforms, including Docker/K8’s Terraform, and other similar, and related technologies including Service Mesh solutions\n●      Willingness for learning and collaboration\n●      Willingness to travel up to 60%.\n●      Experience with Amazon Web Services (AWS), Microsoft Azure, IBM Cloud, or other public cloud providers and cloud management tooling is a plus\n●      Understanding of blockchain and NFTs in the realm of healthcare\n●      Relevant industry certifications or coursework are a plus, or willingness to pursue these certifications and training once onboard\n \nAdditional Details\n \nConsenSys Health is a spin-off from ConsenSys, one of the world’s largest blockchain companies. ConsenSys solves the biggest problems in healthcare. We are part of an ecosystem of technology and industry partners who drive positive, inclusive change in healthcare and the life sciences.\n \nConsenSys Health is 100% remote and work-from-anywhere company. We are primarily sourcing full-time opportunities to fill (W2), we have some part-time and 1099/subcontracting opportunities. While 100% virtual, our team meets often throughout the day with and without video to talk about what we're doing that day, what we need help with, and general socializing. A sense of humor and humility is required to be successful with our team. If you like being autonomous, digging into business, health, and technology challenges, ConsenSys Health is virtually a win for you (and us).\n \nEmployment Type\nContract / Full-Time / Part-Time / Work From Home / Remote\n\n\n\n \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 Medical, Engineer, Video, Amazon, Cloud, API, Microsoft, Travel and Sales jobs that are similar:\n\n $70,000 — $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