{"schemaVersion":"jobsearcher.job.v1","id":"f3985850ecd89ebdbabbe1ff","url":"https://jobsearcher.com/jobs/f3985850ecd89ebdbabbe1ff","canonicalUrl":"https://jobsearcher.com/jobs/f3985850ecd89ebdbabbe1ff","title":"Sr Platform & DevOps Engineer","description":"Role: Sr Platform & DevOps Engineer\nLocation: US Domestic (Remote) / India Offshore\nOverview:\nWe are seeking Senior Platform & DevOps Engineers who can own both infrastructure reliability and CI/CD pipeline development. This is a deliberately broad role: engineers are expected to maintain production platform health, build and operate developer tooling, and actively integrate AI capabilities into the platform layer — including Snowflake Cortex, Azure AI Foundry, and LLM API consumption for pipeline automation and observability enrichment. AI-assisted development tooling (GitHub Copilot, Cursor) is expected as part of the standard workflow.\nKey Responsibilities:\nMonitor platform health and data feeds daily to ensure continuity and accuracy of operations\nRespond to system alerts, investigate incidents, and perform root cause analysis to prevent recurrence\nArchitect and implement scalable microservices in Python and Go\nDesign, build, and maintain GitLab CI/CD pipelines with AI-integrated workflow automation\nIntegrate Snowflake Cortex and Azure AI Foundry capabilities into data and platform workflows\nManage deployments and operations via Kubernetes CLI and GitOps workflows\nIntegrate with AWS services including S3, Lambda, SQS, and EC2\nImplement secure authentication and authorization using EntraID\nManage and rotate secrets, credentials, and access keys per security best practices\nPerform regular patching, upgrades, and maintenance with minimal service disruption\nParticipate in on-call rotations to support production systems\nRequired Qualifications:\n6+ years of combined experience in DevOps, Site Reliability Engineering, or platform engineering\nHigh-level proficiency in Python and Go\nStrong experience with Kubernetes CLI, GitOps workflows, and GitLab CI/CD\nHands-on experience with Azure and/or AWS cloud services\nWorking knowledge of Snowflake Cortex or equivalent AI/ML-integrated data platform capabilities\nFamiliarity with LLM API consumption and prompt engineering for automation use cases\nFamiliarity with Azure EntraID for identity and access management\nActive proficiency with AI-assisted development tools (GitHub Copilot, Cursor, or equivalent)\nProficiency in Python for data manipulation (Pandas, Snowpark, Polars, or PySpark)\nPreferred Qualifications:\nExperience with Helm, Jinja-based templating, and Kubernetes networking\nFamiliarity with Azure AI Foundry and ML model deployment pipelines\nExperience integrating ML models into cloud-native services\nKnowledge of observability stacks: Prometheus, Grafana, Splunk\nTechnology Stack:\nAWS (S3, Key spaces, CloudWatch, Certificate Authority, EC2, shield), Kubernetes, Helm, Istio, Grafana, Splunk, Locust, Java, Spring Boot, GitLab CI/CD, Terraform, Kafka, Snowflake, Snowflake Cortex, Azure AI Foundry, Python, Go","company":"ThemeSoft","rawCompany":"themesoft","city":"New York","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-08-10T14:21:56.894Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"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":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr Platform & DevOps Engineer","description":"Role: Sr Platform & DevOps Engineer\nLocation: US Domestic (Remote) / India Offshore\nOverview:\nWe are seeking Senior Platform & DevOps Engineers who can own both infrastructure reliability and CI/CD pipeline development. This is a deliberately broad role: engineers are expected to maintain production platform health, build and operate developer tooling, and actively integrate AI capabilities into the platform layer — including Snowflake Cortex, Azure AI Foundry, and LLM API consumption for pipeline automation and observability enrichment. AI-assisted development tooling (GitHub Copilot, Cursor) is expected as part of the standard workflow.\nKey Responsibilities:\nMonitor platform health and data feeds daily to ensure continuity and accuracy of operations\nRespond to system alerts, investigate incidents, and perform root cause analysis to prevent recurrence\nArchitect and implement scalable microservices in Python and Go\nDesign, build, and maintain GitLab CI/CD pipelines with AI-integrated workflow automation\nIntegrate Snowflake Cortex and Azure AI Foundry capabilities into data and platform workflows\nManage deployments and operations via Kubernetes CLI and GitOps workflows\nIntegrate with AWS services including S3, Lambda, SQS, and EC2\nImplement secure authentication and authorization using EntraID\nManage and rotate secrets, credentials, and access keys per security best practices\nPerform regular patching, upgrades, and maintenance with minimal service disruption\nParticipate in on-call rotations to support production systems\nRequired Qualifications:\n6+ years of combined experience in DevOps, Site Reliability Engineering, or platform engineering\nHigh-level proficiency in Python and Go\nStrong experience with Kubernetes CLI, GitOps workflows, and GitLab CI/CD\nHands-on experience with Azure and/or AWS cloud services\nWorking knowledge of Snowflake Cortex or equivalent AI/ML-integrated data platform capabilities\nFamiliarity with LLM API consumption and prompt engineering for automation use cases\nFamiliarity with Azure EntraID for identity and access management\nActive proficiency with AI-assisted development tools (GitHub Copilot, Cursor, or equivalent)\nProficiency in Python for data manipulation (Pandas, Snowpark, Polars, or PySpark)\nPreferred Qualifications:\nExperience with Helm, Jinja-based templating, and Kubernetes networking\nFamiliarity with Azure AI Foundry and ML model deployment pipelines\nExperience integrating ML models into cloud-native services\nKnowledge of observability stacks: Prometheus, Grafana, Splunk\nTechnology Stack:\nAWS (S3, Key spaces, CloudWatch, Certificate Authority, EC2, shield), Kubernetes, Helm, Istio, Grafana, Splunk, Locust, Java, Spring Boot, GitLab CI/CD, Terraform, Kafka, Snowflake, Snowflake Cortex, Azure AI Foundry, Python, Go","datePosted":"2026-08-10T14:21:56.894Z","dateModified":"2026-08-10T14:21:56.894Z","hiringOrganization":{"@type":"Organization","name":"ThemeSoft","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f3985850ecd89ebdbabbe1ff"},"url":"https://jobsearcher.com/jobs/f3985850ecd89ebdbabbe1ff"}}