Senior DevOps Engineer (AWS | MLOps | Kubernetes)

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)

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Design and manage scalable infrastructure on Amazon Web Services (AWS)

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Hands-on experience with **Amazon EKS, AWS IAM, and Amazon S3

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Implement secure, highly available, and cost-optimized architectures

Kubernetes & Platform Engineering

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Deploy, manage, and scale applications on Kubernetes (EKS preferred)

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Implement GitOps workflows using Argo CD

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Ensure observability, reliability, and performance of workloads

CI/CD & DevOps Practices

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Build and manage CI/CD pipelines using Azure DevOps (ADO)

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Automate deployments, testing, and release processes

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Enforce DevOps best practices and improve delivery efficiency

Infrastructure as Code

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Develop and maintain IaC using Terraform

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Standardize reusable modules and enforce governance

MLOps & AI Platforms

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Build and manage MLOps pipelines for training, deployment, and monitoring of ML models

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Support AI/ML applications in production environments

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Work closely with data science teams to operationalize models

DevSecOps & Security

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Integrate security practices into CI/CD pipelines (SAST, DAST, container scanning)

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Implement secure access using IAM roles, policies, and secrets management

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Ensure compliance, vulnerability management, and security best practices

Required Skills & Experience

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6–8 years of experience in DevOps / Cloud Engineering

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Strong hands-on experience with AWS services (EKS, IAM, S3)

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Solid understanding of Kubernetes and container orchestration

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Experience with CI/CD tools like Azure DevOps

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Proficiency in Terraform for infrastructure automation

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Exposure to MLOps and AI/ML deployment workflows

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Strong understanding of DevSecOps practices

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Strong troubleshooting and problem-solving skills

Mandatory Certifications

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AWS Certified Solutions Architect – Associate (Mandatory)

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AWS Certified DevOps Engineer – Professional (Mandatory / Strong Preference)

Candidates without AWS certification will not be considered.

Good to Have

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Experience with Microsoft Azure and/or Google Cloud Platform (GCP)

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Kubernetes Certification (CKA/CKAD)

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Terraform Associate Certification

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Experience with monitoring tools (Prometheus, Grafana, etc.)

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Experience in multi-cloud environments

What We’re Looking For

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Strong ownership mindset and ability to drive initiatives

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Ability to influence architecture and DevOps practices

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Experience working in cross-functional teams

Note- Please apply via our official careers portal only, as applications sent directly to executives may not be considered.