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
