{"schemaVersion":"jobsearcher.job.v1","id":"2f6f054c6f876d394dd00f80","url":"https://jobsearcher.com/jobs/2f6f054c6f876d394dd00f80","canonicalUrl":"https://jobsearcher.com/jobs/2f6f054c6f876d394dd00f80","title":"DevOps Engineer","description":"Location\n\nUnited States, Europe, Canada, Brazil\n\nType\n\nFull time\n\nDepartment\n\nEngineering\nAI & Machine Learning\n\nCompensation\n$117K – $176K\n\nThis is the target annual salary range for this role. This range is not inclusive of other additional compensation elements, such as our Bonus program, Equity program, Wellness allowance, and other benefits [US Only] (including medical, dental, vision and 401(k)).\n\nThe compensation range provided is influenced by various factors and represents the initial target range. Our salary offerings are dynamic and we strive to ensure that our base salary and total compensation package aligns and recognizes the top talent we aim to attract and retain. The compensation package of the successful candidate is based on various factors such as their skillset, experience, and job scope.\n\nOverview\n\nBuilding the Future of Crypto\n\nOur Krakenites are a world-class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology.\n\nWhat makes us different?\n\nKraken is a mission-focused company rooted in crypto values. As a Krakenite, you’ll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. For over a decade, Kraken’s focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world.\n\nBefore you apply, please read the Kraken Culture page to learn more about our internal culture, values, and mission. We also expect candidates to familiarize themselves with the Kraken app. Learn how to create a Kraken account here.\n\nAs a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages. Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space. Kraken is committed to industry-leading security, crypto education, and world-class client support through our products like Kraken Pro, Kraken NFT, and Kraken Futures.\n\nBecome a Krakenite and build the future of crypto!\n\nProof of work\n\nThe team\n\nKraken is looking for an experienced Machine Learning Ops engineer to join our AI/ML Team in the centralized Data organization. In this role you will be building infrastructure to support building cutting edge AI/ML technology to solve the most complex and exciting problems in the quickly growing and evolving crypto industry. We are looking for an extremely strong communicator and team-player, who is able to break down large complex problems into smaller more manageable problems-to-solve. You will take initiative to work with engineers across the team and org, exploring different ways to resolve issues.\n\nThe opportunity\n\nBuild ML and AI Ops infrastructure to enable the development and deployment of production models running at scale. This includes deployments across multiple cloud infrastructures\n\nLead resource planning and optimization, especially with GPU instances\n\nDevelop tool(s) to load test various production AL/ML systems\n\nWork closely with SREs across the entire organization\n\nSupport 24/7/365 uptime of services by supporting a partial on-call rotation along with other members of the team\n\nStay up-to-date in machine learning, and artificial intelligence trends and technologies, all while contributing to the growth of AI/ML in the Crypto industry\n\nSkills you should HODL\n\nExperience in deploying, maintaining, and monitoring production systems\n\nA minimum of 3-5 years of experience in DevOps, SRE, AI/ML Engineer, or a similar discipline\n\nFamiliarity with the software development lifecycle, DevOps (build, continuous integration, deployment tools) and best practices\n\nProgramming skills in Python, Scala, Rust or other languages\n\nGood written and verbal communication skills and interpersonal skills\n\nDeep experience with Kubernetes and Docker\n\nExperience with AWS, specifically S3, Athena, EMR, Sagemaker, and Lambda\n\nExperience with Terraform, MLFlow, Flink, Kafka, MariaDB, and Nomad are all a plus\n\nKnowledge of GenAI tools, such as Langchain, LlamaIndex, and open source Vector DBs, is a plus\n\nBachelor's degree in Computer Science, Machine Learning or related field\n\n#LI-Remote #USCANEUBR #LI-GL1\n\nThis job is accepting ongoing s and there is no deadline.\n\nPlease note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.\n\nWe consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.\n\nKraken is powered by people from around the world and we celebrate all Krakenites for their diverse talents, backgrounds, contributions and unique perspectives. We hire strictly based on merit, meaning we seek out the candidates with the right abilities, knowledge, and skills considered the most suitable for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgable about crypto!\n\nAs an equal opportunity employer, we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.","company":"Kraken","rawCompany":"kraken","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-15T12:35:42.108Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1244.00","title":"Network and Computer Systems Administrators","slug":"network-and-computer-systems-administrators"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"DevOps Engineer","description":"Location\n\nUnited States, Europe, Canada, Brazil\n\nType\n\nFull time\n\nDepartment\n\nEngineering\nAI & Machine Learning\n\nCompensation\n$117K – $176K\n\nThis is the target annual salary range for this role. This range is not inclusive of other additional compensation elements, such as our Bonus program, Equity program, Wellness allowance, and other benefits [US Only] (including medical, dental, vision and 401(k)).\n\nThe compensation range provided is influenced by various factors and represents the initial target range. Our salary offerings are dynamic and we strive to ensure that our base salary and total compensation package aligns and recognizes the top talent we aim to attract and retain. The compensation package of the successful candidate is based on various factors such as their skillset, experience, and job scope.\n\nOverview\n\nBuilding the Future of Crypto\n\nOur Krakenites are a world-class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology.\n\nWhat makes us different?\n\nKraken is a mission-focused company rooted in crypto values. As a Krakenite, you’ll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. For over a decade, Kraken’s focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world.\n\nBefore you apply, please read the Kraken Culture page to learn more about our internal culture, values, and mission. We also expect candidates to familiarize themselves with the Kraken app. Learn how to create a Kraken account here.\n\nAs a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages. Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space. Kraken is committed to industry-leading security, crypto education, and world-class client support through our products like Kraken Pro, Kraken NFT, and Kraken Futures.\n\nBecome a Krakenite and build the future of crypto!\n\nProof of work\n\nThe team\n\nKraken is looking for an experienced Machine Learning Ops engineer to join our AI/ML Team in the centralized Data organization. In this role you will be building infrastructure to support building cutting edge AI/ML technology to solve the most complex and exciting problems in the quickly growing and evolving crypto industry. We are looking for an extremely strong communicator and team-player, who is able to break down large complex problems into smaller more manageable problems-to-solve. You will take initiative to work with engineers across the team and org, exploring different ways to resolve issues.\n\nThe opportunity\n\nBuild ML and AI Ops infrastructure to enable the development and deployment of production models running at scale. This includes deployments across multiple cloud infrastructures\n\nLead resource planning and optimization, especially with GPU instances\n\nDevelop tool(s) to load test various production AL/ML systems\n\nWork closely with SREs across the entire organization\n\nSupport 24/7/365 uptime of services by supporting a partial on-call rotation along with other members of the team\n\nStay up-to-date in machine learning, and artificial intelligence trends and technologies, all while contributing to the growth of AI/ML in the Crypto industry\n\nSkills you should HODL\n\nExperience in deploying, maintaining, and monitoring production systems\n\nA minimum of 3-5 years of experience in DevOps, SRE, AI/ML Engineer, or a similar discipline\n\nFamiliarity with the software development lifecycle, DevOps (build, continuous integration, deployment tools) and best practices\n\nProgramming skills in Python, Scala, Rust or other languages\n\nGood written and verbal communication skills and interpersonal skills\n\nDeep experience with Kubernetes and Docker\n\nExperience with AWS, specifically S3, Athena, EMR, Sagemaker, and Lambda\n\nExperience with Terraform, MLFlow, Flink, Kafka, MariaDB, and Nomad are all a plus\n\nKnowledge of GenAI tools, such as Langchain, LlamaIndex, and open source Vector DBs, is a plus\n\nBachelor's degree in Computer Science, Machine Learning or related field\n\n#LI-Remote #USCANEUBR #LI-GL1\n\nThis job is accepting ongoing s and there is no deadline.\n\nPlease note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.\n\nWe consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.\n\nKraken is powered by people from around the world and we celebrate all Krakenites for their diverse talents, backgrounds, contributions and unique perspectives. We hire strictly based on merit, meaning we seek out the candidates with the right abilities, knowledge, and skills considered the most suitable for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgable about crypto!\n\nAs an equal opportunity employer, we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.","datePosted":"2026-08-15T12:35:42.108Z","dateModified":"2026-08-15T12:35:42.108Z","hiringOrganization":{"@type":"Organization","name":"Kraken","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2f6f054c6f876d394dd00f80"},"url":"https://jobsearcher.com/jobs/2f6f054c6f876d394dd00f80"}}