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