Job Title: DevOps Engineer (AI/ML Focus) AWS, Onsite Role Location: Vashi Navi Mumbai. Experience: 5-7 years Salary: 7-10 lacs Job Summary: We are looking for a skilled DevOps Engineer to join our team and manage AWS-based infrastructure, CI/CD pipelines, containerized deployments, and AI/ML workload optimizations . The candidate should have experience with GitLab, Kong, Keycloak, Docker, Kubernetes, AWS services, and SaaS platform deployments. This is an onsite role requiring hands-on expertise in cloud-native technologies and infrastructure automation. Key Responsibilities: 1. CI/CD & Version Control: Manage GitLab (A-Z) including CI/CD pipelines and repository administration. Automate and optimize software delivery processes for AI/ML applications. Implement security and compliance in CI/CD pipelines. 2. Containerization & Orchestration: Deploy and manage Docker private container registries . Maintain and scale Docker Swarm and Kubernetes-based deployments. Work with Helm Charts for application deployment. 3. API Gateway & Identity Management: Administer and optimize Kong OSS API Gateway for microservices. Implement and maintain Keycloak for authentication and identity management . Ensure secure integration of Keycloak with GitLab . 4. Cloud Infrastructure & Automation: Deploy, monitor, and maintain AWS resources (EC2, S3, VPC, IAM, EBS, Route 53, CloudWatch, ELB, EKS, AMI migration, and Volume Resizing) . Automate AWS S3 bucket migrations using scripts. Implement infrastructure as code (IaC) using Terraform or equivalent. 5. SaaS & Self-Hosted Platform Management: Deploy and maintain Lago (Self-Hosting), Strapi (Client Production), Serverpod (Trello Clone), and Bricklane . Handle SaaS dashboard operations, configuration, and scaling. 6. Security & Compliance: Implement SSO authentication and user management across services. Manage unused SSO v21 Coopersoft images and ensure security best practices. Conduct security audits, monitoring, and performance tuning . 7. Documentation & Knowledge Management: Maintain up-to-date documentation for DevOps processes and deployment workflows . Ensure seamless handover and knowledge transfer through detailed technical guides. Required Skills & Qualifications: 5+ years of DevOps, cloud infrastructure, and CI/CD experience. Strong expertise in AWS: EC2, S3, IAM, VPC, EBS, EKS, CloudWatch, Route53. Proficiency in GitLab, Docker, Kubernetes, Terraform, Helm, and Kong API Gateway. Experience with Keycloak, authentication mechanisms, and API security . Hands-on experience in managing AI/ML workloads on AWS (GPU optimization preferred). Knowledge of monitoring and security tools like Prometheus, Grafana, and Trivy. Good scripting skills (Bash, Python) for automation. Strong analytical, troubleshooting, and communication skills. Preferred Qualifications: AWS Certifications (Solutions Architect, DevOps Engineer) Experience with Flagsmith, Postiz, Supabase hosting (even if not in use currently). Exposure to Serverpod, SaaS platform management, and ML pipelines . HR TEAM
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