[Remote] Senior Cloud DevOps & Infrastructure Engineer

Note The job is a remote job and is open to candidates in USA. Diverse Lynx is seeking a Senior Cloud DevOps & Infrastructure Engineer with a focus on GCP and AI. The role involves designing, deploying, and maintaining secure and scalable cloud infrastructure, primarily on a multi-cloud platform, while implementing GitOps best practices and supporting AI/ML worklo. Responsibilities Infrastructure as Code (IaC) Architect and provision production-grade infrastructure using Terraform. Manage state files, modules, and ensure infrastructure immutability AIML Experience with LLM Models - in multi cloud environment Kubernetes & Containerization Design and manage clusters. Create and optimize Docker files (multi-stage builds, distroless/hardened images). Manage complex deployments using Helm Charts CI/CD & GitOps Build end-to-end CI/CD pipelines using GitLab CI. Implement GitOps workflows to synchronize infrastructure and application state Design, configure, and manage scalable and secure cloud infrastructure for MLOps AI Infrastructure Support Configure and maintain environments suitable for AI/ML worklo (GPU node pools, LLM integration, large model serving, high-performance storage) Production Support & Troubleshooting Act as the primary escalation point for deployment failures, network and Infra issues. Perform Root Cause Analysis (RCA) Security & Compliance Implement 'Secure by Design' principles Having good knowledge of network security, identity and privilege access management, landing zone concepts for cloud platforms (Azure, AWS) Multi-Cloud Strategy While GCP is primary, maintain and support secondary environments in AWS (and potentially Azure) to ensure business continuity Skills 6 – 8 Years of experience in Cloud Infrastructure & DevOps Engineering Expert in Kubernetes, Terraform, and GitLab CI/CD Experience supporting AI/ML worklo Architect and provision production-grade infrastructure using Terraform Experience with LLM Models in multi cloud environment Design and manage Kubernetes clusters Create and optimize Docker files (multi-stage builds, distroless/hardened images) Manage complex deployments using Helm Charts Build end-to-end CI/CD pipelines using GitLab CI Implement GitOps workflows to synchronize infrastructure and application state Design, configure, and manage scalable and secure cloud infrastructure for MLOps Configure and maintain environments suitable for AI/ML worklo (GPU node pools, LLM integration, large model serving, high-performance storage) Act as the primary escalation point for deployment failures, network and Infra issues Perform Root Cause Analysis (RCA) Implement 'Secure by Design' principles Good knowledge of network security, identity and privilege access management, landing zone concepts for cloud platforms (Azure, AWS) Maintain and support secondary environments in AWS (and potentially Azure) Deep expertise in GCP (Compute Engine, GKE, Cloud Storage, IAM) Strong working knowledge of AWS (EC2, EKS, S3, IAM) Knowledge of using various programming languages (Python required, knowledge of Java, C#, JavaScript is a plus) Advanced proficiency in Kubernetes Ability to write and manage custom Helm charts Experience with Ingress Controllers (Nginx), Service Mesh, and Autoscaling (HPA/VPA/Cluster Autoscaler) Expert-level knowledge of GitLab CI/CD (writing .gitlab-ci.yml, runners, artifacts, caching) Understanding GitOps principles Strong hands-on experience with Terraform for provisioning cloud resources across multiple environments (Dev/Stage/Prod) Proficiency in Bash/Shell scripting and Python Strong Linux administration skills Experience setting up monitoring and using Cloud Native tools, Prometheus, and Grafana Experience with Azure Cloud infrastructure Knowledge of Identity Providers (Keycloak, Azure AD/Entra ID) and OIDC integration Experience with Service Mesh Understanding of ITIL processes (Incident/Change Management) and tools like ServiceNow, JIRA Basic understanding of Python/Flask/Fast API applications to assist developers in troubleshooting Company Overview Diverse Lynx is a WBENC- and NMSDC-certified partner, helping organizations turn diversity goals into measurable impact through staffing and contingent workforce solutions. It was founded in 2002, and is headquartered in Princeton, New Jersey, US, with a workforce of 1001-5000 employees. Its website is http//www.diverselynx.com. Company H1B Sponsorship Diverse Lynx has a track record of offering H1B sponsorships, with 1 in 2024, 1 in 2021. Please note that this does not guarantee sponsorship for this specific role.