Senior DevOps Engineer (AWS | MLOps | Kubernetes)

Codvo.ai; Pune District; Hybrid; INR 1,500,000 - 2,000,000; Full time

Job summary

Codvo.ai is hiring a Senior DevOps Engineer in Pune, India. This hybrid role requires 6-8 years of experience in DevOps, focusing on AWS, Kubernetes, and MLOps. The ideal candidate will design scalable cloud infrastructures, manage CI/CD processes, and implement security practices. Strong understanding of DevSecOps and proficiency in Terraform are essential. Mandatory certifications include AWS Certified Solutions Architect and DevOps Engineer. Join us to influence architecture and drive initiatives in a cross-functional team.

Qualifications

• 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.

Responsibilities

• Design and manage scalable infrastructure on AWS.
• Deploy and manage applications on Kubernetes.
• Build and manage CI/CD pipelines using Azure DevOps.
• Develop and maintain Infrastructure as Code using Terraform.
• Build and manage MLOps pipelines for ML model deployment.

Skills

AWS services (EKS, IAM, S3)

Kubernetes

CI/CD tools (Azure DevOps)

Terraform

MLOps

DevSecOps practices

Troubleshooting skills

Education

AWS Certified Solutions Architect – Associate

AWS Certified DevOps Engineer – Professional

Tools

Azure DevOps

Terraform

Monitoring tools (Prometheus, Grafana)

Job description

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)

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