Senior DevOps Engineer (AWS | MLOps | Kubernetes)

Codvo Private Limited; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Codvo Private Limited is looking for a Senior DevOps Engineer (AWS | MLOps | Kubernetes) in Pune. The ideal candidate will have 6-8 years of experience in DevOps and strong expertise in AWS, Kubernetes, and MLOps. Responsibilities include designing scalable AWS infrastructure, managing CI/CD pipelines, and implementing DevSecOps practices. Preference is given to AWS certified professionals. This is a full-time, hybrid role with opportunities to work on cloud-native applications.

Qualifications

• 6–8 years of experience in DevOps / Cloud Engineering.
• Strong hands-on experience with AWS services.
• 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.

Responsibilities

• Design and manage scalable infrastructure on AWS.
• Deploy, manage, and scale 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 models.
• Integrate security practices into CI/CD pipelines.

Skills

AWS services (EKS, IAM, S3)

Kubernetes and container orchestration

CI/CD tools like Azure DevOps

Terraform for infrastructure automation

MLOps and AI/ML deployment workflows

DevSecOps practices

Troubleshooting and problem-solving skills

Education

AWS Certified Solutions Architect – Associate

AWS Certified DevOps Engineer – Professional

Tools

Terraform

Argo CD

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