Senior DevOps Engineer (AWS | MLOps | Kubernetes)

We are looking for a Senior DevOps Engineer with strong expertise in AWS, Kubernetes, MLOps, and DevSecOps to design, build, and scale cloud-native and AI-driven platforms. The ideal candidate will play a key role in enabling reliable infrastructure, CI/CD pipelines, and production-grade ML workflows.

Responsibilities

Design and manage scalable infrastructure on Amazon Web Services (AWS); Hands-on experience with Amazon EKS, AWS IAM, and Amazon S3; Implement secure, highly available, and cost-optimized architectures; Deploy, manage, and scale applications on Kubernetes (EKS preferred); Implement GitOps workflows using Argo CD; Ensure observability, reliability, and performance of workloads; Build and manage CI/CD pipelines using Azure DevOps (ADO); Automate deployments, testing, and release processes; Enforce DevOps best practices and improve delivery efficiency; Develop and maintain IaC using Terraform; Standardize reusable modules and enforce governance; Build and manage MLOps pipelines for training, deployment, and monitoring of ML models; Support AI/ML applications in production environments; Work closely with data science teams to operationalize models; Integrate security practices into CI/CD pipelines (SAST, DAST, container scanning); Implement secure access using IAM roles, policies, and secrets management; Ensure compliance, vulnerability management, and security best practices

Requirements

6–8 years of experience in DevOps / Cloud Engineering; Strong hands-on experience with AWS services (EKS, IAM, S3); Solid understanding of Kubernetes and container orchestration; Experience with CI/CD tools like Azure DevOps; Proficiency in Terraform for infrastructure automation; Exposure to MLOps and AI/ML deployment workflows; Strong understanding of DevSecOps practices; Strong troubleshooting and problem-solving skills; AWS Certified Solutions Architect – Associate (Mandatory); AWS Certified DevOps Engineer – Professional (Mandatory / Strong Preference); Candidates without AWS certification will not be considered.

Nice to have

Experience with Microsoft Azure and/or Google Cloud Platform (GCP); Kubernetes Certification (CKA/CKAD); Terraform Associate Certification; Experience with monitoring tools (Prometheus, Grafana, etc.); Experience in multi-cloud environments