Senior Devops Engineer

Job Title: Senior DevOps Engineer

Experience: 10+ Years

Location: Bangalore

Employment Type: Full-Time

Job Summary

We are looking for an experienced Senior DevOps Engineer with 10+ years of hands-on experience in DevOps, cloud infrastructure, automation, CI/CD, Infrastructure as Code, and cloud-native technologies.

The ideal candidate should have strong expertise in AWS, Terraform, Kubernetes/EKS, Docker, GitLab CI/CD, ArgoCD, serverless technologies, and observability tools such as Datadog/Splunk . The candidate will be responsible for designing, implementing, securing, and supporting highly scalable and reliable cloud platforms and production deployment environments.

Key Responsibilities

• Design, build, and support cloud-native platforms, deployment pipelines, and automation frameworks in production.
• Develop and maintain CI/CD pipelines using GitLab CI/CD, Jenkins, or equivalent tools .
• Implement Infrastructure as Code using Terraform , including reusable modules, environment consistency, peer review, and controlled deployments.
• Design and manage AWS cloud environments across Production, Development, QA, and lower environments .
• Work extensively with AWS services such as:
  • Lambda
  • API Gateway
  • IAM
  • EventBridge
  • DynamoDB
  • CloudWatch
  • VPC/Networking
  • Security services
• Implement and support serverless applications and APIs , including authentication, integrations, security, and operational support.
• Manage containerized workloads using Docker and Kubernetes , preferably AWS EKS .
• Implement GitOps-based deployment practices using ArgoCD or similar tools .
• Design and improve observability solutions using Datadog, Splunk, CloudWatch, Prometheus , or similar tools.
• Build actionable monitoring and alerting strategies to reduce alert noise and improve incident response.
• Implement resiliency, fault tolerance, disaster recovery, backup, and rollback strategies for business-critical applications.
• Support safe production releases through automation, validation, canary/phased deployments, and controlled rollback mechanisms.
• Perform performance tuning, capacity planning, cost optimization, system analysis, and Root Cause Analysis (RCA).
• Integrate and support third-party/vendor APIs and managed AWS services.
• Apply cloud security best practices, IAM controls, privileged access management, and secure deployment practices.
• Use scripting and automation with Python, Bash, PowerShell , or similar technologies.
• Explore and implement AI-driven solutions to improve automation, observability, operational efficiency, and incident management.

Required Technical Skills Cloud & AWS

• Strong hands-on experience with AWS
• AWS Lambda
• API Gateway
• IAM
• EventBridge
• DynamoDB
• CloudWatch
• Networking & Security

Infrastructure as Code

• Terraform
• CloudFormation or equivalent
• Reusable Terraform modules
• Infrastructure automation and environment management

CI/CD & GitOps

• GitLab CI/CD
• Jenkins or equivalent
• ArgoCD
• GitOps practices
• Automated deployment and release management

Containers & Orchestration

• Docker
• Kubernetes
• AWS EKS

Monitoring & Observability

• Datadog
• Splunk
• CloudWatch
• Prometheus or similar monitoring platforms
• Alerting, logging, metrics, and incident response

Scripting

• Python
• Bash
• PowerShell or similar scripting languages

Additional / Preferred Skills

• Kafka / event streaming
• Kong API Gateway
• Akamai / CDN technologies
• Serverless architecture
• Distributed systems and system design
• Scalability and performance engineering
• Disaster Recovery and business continuity
• eCommerce, retail, or inventory management platforms
• AI/ML technologies and AI-driven DevOps automation

Required Qualifications

• 10+ years of experience in DevOps, Systems Engineering, Cloud Engineering, or related roles.
• Bachelor's degree in Computer Science, Engineering, or equivalent experience.
• Strong hands-on experience with AWS cloud platforms .
• Proven experience with CI/CD tools such as GitLab CI/CD or Jenkins.
• Hands-on experience with Terraform / Infrastructure as Code .
• Experience with GitOps and ArgoCD or similar tools .
• Strong understanding of Kubernetes and containerization .
• Strong scripting/programming skills using Python, Bash, PowerShell, or similar.
• Good understanding of system design, scalability, distributed systems, security, and reliability engineering .
• Strong production troubleshooting and incident management experience.