Automation Engineer - Kubernetes, AWS, Terraform, Version Control

5 - 7 Years
2 Openings
Bangalore, Chennai, Hyderabad, Kochi, Noida, Pune, Trivandrum

Job Summary:
The Automation Engineer will play a critical role in reducing operational toil within Kubernetes-based environments by designing, developing, and implementing automation solutions that streamline repetitive tasks and improve system reliability. This role involves close collaboration with SRE and platform engineering teams to build self-healing mechanisms, enhance observability, and integrate automation into CI/CD pipelines, ensuring faster, more resilient deployments with minimal manual intervention.

Key Responsibilities:

• Toil Reduction & Automation

  • Identify repetitive, manual operational tasks and design automation solutions to eliminate them.

  • Develop scripts, tools, and pipelines to automate deployments, scaling, monitoring, and incident response.

• Kubernetes & Cloud Operations

  • Manage and optimize Kubernetes clusters across multiple environments (dev, staging, production).

  • Implement automated cluster lifecycle management, including provisioning, upgrades, and scaling.

• Reliability & Observability

  • Build self-healing mechanisms for common failure scenarios.

  • Enhance observability by automating metrics, logging, and integrations.

• CI/CD & Infrastructure as Code

  • Implement and maintain CI/CD pipelines for application and infrastructure deployments.

  • Use Infrastructure as Code (IaC) tools to ensure consistent environment management.

• Collaboration & Best Practices

  • Work closely with SREs, developers, and platform teams to improve reliability and reduce Mean Time To Recovery (MTTR).

  • Advocate for an automation-first culture and promote SRE principles across teams.

Required Skills and Qualifications:

• Automation & Scripting: Proficiency in Python or Bash for automation tasks.

• Kubernetes Expertise: Hands-on experience with Kubernetes (deployment, scaling, troubleshooting). CKA/CKAD certification preferred.

• Cloud Platforms: Experience with AWS.

• CI/CD Tools: Experience with Jenkins, GitLab CI, or similar.

• Infrastructure as Code: Familiarity with Terraform.

• Observability: Experience with tools like Splunk.

• Version Control: Strong Git skills and experience with GitOps workflows.

• Problem-Solving: Ability to analyze operational pain points and design automation solutions.

Automation, Kubernetes, AWS, Terraform, Version Control