{"schemaVersion":"jobsearcher.job.v1","id":"b273a470d816fdc50e96d77b","url":"https://jobsearcher.com/jobs/b273a470d816fdc50e96d77b","canonicalUrl":"https://jobsearcher.com/jobs/b273a470d816fdc50e96d77b","title":"Senior DevOps Engineer - Cloud & Platform","description":"OverviewCheck you match the skill requirements for this role, as well as associated experience, then apply with your CV below.We’re partnering with a high‑growth, category‑leading enterprise technology company that is transforming how scientific and technical organisations manage, operationalise, and derive value from complex data.\r\nThe company is building next‑generation, cloud‑native data and AI platforms used by global enterprise customers and is widely recognised as a leader within its space, working closely with major cloud, data, and AI infrastructure providers.\r\nThis is an opportunity to join a technically strong, product‑led team working at scale on mission‑critical platforms.\r\nWhat You’ll Do\r\nCollaborate closely with product and engineering teams across the full software lifecycle, from design and build through deployment and operations\r\nWork directly with customers to deploy, integrate, and troubleshoot the platform within their AWS environments\r\nBuild and maintain infrastructure‑as‑code using tools such as CloudFormation and Terraform\r\nDevelop automation tooling using Python and supporting frameworks to improve reliability, scalability, and efficiency\r\nDesign and maintain monitoring, alerting, and self‑healing systems ahead of production releases\r\nOwn and operate internal AWS environments, ensuring performance, security, and cost optimisation\r\nPartner with solution architects during customer discussions to support technical integration and deployment questions\r\nMaintain clear, up‑to‑date documentation covering deployments, processes, and best practices\r\nWhat We’re Looking For\r\nBachelor’s degree in Computer Science, Engineering, or equivalent practical experience\r\n5+ years of experience in DevOps, Platform Engineering, or a similar role\r\nStrong hands‑on experience with AWS (certification preferred)\r\nProficiency in Python (preferred) or another backend language such as Java or Go\r\nDeep experience with infrastructure‑as‑code, ideally using CloudFormation\r\nExperience supporting AI‑enabled platforms, including ML or LLM‑driven systems\r\nStrong background in cloud‑native architectures, automation, and infrastructure provisioning\r\nExperience xywuqvp building and operating CI/CD pipelines (e.g. GitHub Actions, AWS CodeDeploy)\r\nFamiliarity with microservices, containers, and orchestration tools such as Docker and Kubernetes\r\nSolid understanding of Linux systems, networking, and cloud security best practices\r\nStrong communication skills and experience working directly with customers\r\nBenefits & Perks\r\nFully employer‑paid health benefits for employees and dependents\r\nUnlimited paid time off\r\n401(k) plan\r\nFlexible working model (remote‑first with office access as needed)\r\nCompany‑paid life insurance and long‑term / short‑term disability\r\nUS Citizens or Green Card Holders only.","company":"Evolution","rawCompany":"evolution","city":"East Boston","state":"MA","isRemote":false,"isActive":false,"createdAt":"2026-04-09T08:08:29.269Z","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":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"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":"Senior DevOps Engineer - Cloud & Platform","description":"OverviewCheck you match the skill requirements for this role, as well as associated experience, then apply with your CV below.We’re partnering with a high‑growth, category‑leading enterprise technology company that is transforming how scientific and technical organisations manage, operationalise, and derive value from complex data.\r\nThe company is building next‑generation, cloud‑native data and AI platforms used by global enterprise customers and is widely recognised as a leader within its space, working closely with major cloud, data, and AI infrastructure providers.\r\nThis is an opportunity to join a technically strong, product‑led team working at scale on mission‑critical platforms.\r\nWhat You’ll Do\r\nCollaborate closely with product and engineering teams across the full software lifecycle, from design and build through deployment and operations\r\nWork directly with customers to deploy, integrate, and troubleshoot the platform within their AWS environments\r\nBuild and maintain infrastructure‑as‑code using tools such as CloudFormation and Terraform\r\nDevelop automation tooling using Python and supporting frameworks to improve reliability, scalability, and efficiency\r\nDesign and maintain monitoring, alerting, and self‑healing systems ahead of production releases\r\nOwn and operate internal AWS environments, ensuring performance, security, and cost optimisation\r\nPartner with solution architects during customer discussions to support technical integration and deployment questions\r\nMaintain clear, up‑to‑date documentation covering deployments, processes, and best practices\r\nWhat We’re Looking For\r\nBachelor’s degree in Computer Science, Engineering, or equivalent practical experience\r\n5+ years of experience in DevOps, Platform Engineering, or a similar role\r\nStrong hands‑on experience with AWS (certification preferred)\r\nProficiency in Python (preferred) or another backend language such as Java or Go\r\nDeep experience with infrastructure‑as‑code, ideally using CloudFormation\r\nExperience supporting AI‑enabled platforms, including ML or LLM‑driven systems\r\nStrong background in cloud‑native architectures, automation, and infrastructure provisioning\r\nExperience xywuqvp building and operating CI/CD pipelines (e.g. GitHub Actions, AWS CodeDeploy)\r\nFamiliarity with microservices, containers, and orchestration tools such as Docker and Kubernetes\r\nSolid understanding of Linux systems, networking, and cloud security best practices\r\nStrong communication skills and experience working directly with customers\r\nBenefits & Perks\r\nFully employer‑paid health benefits for employees and dependents\r\nUnlimited paid time off\r\n401(k) plan\r\nFlexible working model (remote‑first with office access as needed)\r\nCompany‑paid life insurance and long‑term / short‑term disability\r\nUS Citizens or Green Card Holders only.","datePosted":"2026-04-09T08:08:29.269Z","dateModified":"2026-04-09T08:08:29.269Z","hiringOrganization":{"@type":"Organization","name":"Evolution","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"East Boston","addressRegion":"MA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b273a470d816fdc50e96d77b"},"url":"https://jobsearcher.com/jobs/b273a470d816fdc50e96d77b"}}