Job Title: Senior DevOps Engineer (AWS | MLOps | Kubernetes)
Location: Pune (Hybrid)
Experience: 6–8 Years
Employment Type: Full-time
Role Overview
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.
Key Responsibilities
Cloud & Infrastructure (AWS)
- 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
Kubernetes & Platform Engineering
- Deploy, manage, and scale applications on Kubernetes (EKS preferred)
- Implement GitOps workflows using Argo CD
- Ensure observability, reliability, and performance of workloads
CI/CD & DevOps Practices
- Build and manage CI/CD pipelines using Azure DevOps (ADO)
- Automate deployments, testing, and release processes
- Enforce DevOps best practices and improve delivery efficiency
Infrastructure as Code
- Develop and maintain IaC using Terraform
- Standardize reusable modules and enforce governance
MLOps & AI Platforms
- 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
DevSecOps & Security
- 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
Required Skills & Experience
- 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
Mandatory Certifications
- AWS Certified Solutions Architect – Associate (Mandatory)
- AWS Certified DevOps Engineer – Professional (Mandatory / Strong Preference)
Candidates without AWS certification will not be considered.
Good 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
What We’re Looking For
- Strong ownership mindset and ability to drive initiatives
- Ability to influence architecture and DevOps practices
- Experience working in cross-functional teams