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

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

📌 Senior DevOps Engineer (AWS | MLOps | Kubernetes) (India)
🏢 Codvo.ai
📍 India