Lead I - DevOps Engineering

5 - 7 Years
1 Opening
Trivandrum

Role Proficiency:

Act under guidance of Lead II/Architect understands customer requirements and translate them into design of new DevOps (CI/CD) components. Capable of managing at least 1 Agile Team

Outcomes:

Measures of Outcomes:

Outputs Expected:

Automated components :

Configured components:

Scripts:

Onboard users:

Mentoring:

Stakeholder Management:

Training/SOPs :

Measure Process Efficiency/Effectiveness:

Stakeholder Management:

Skill Examples:

Knowledge Examples:

• Knowledge of Installation/Config/Build/Deploy processes and tools
  • Knowledge of IAAS - Cloud providers (AWS/Azure/Google etc.) and their tool sets

  • Knowledge of the application development lifecycle

  • Knowledge of Quality Assurance processes

  • Knowledge of Quality Automation processes and tools

  • Knowledge of multiple tool stacks not just one

  • Knowledge of Build Branching/Merging

  • Knowledge about containerization

  • Knowledge on security policies and tools

  • Knowledge of Agile methodologies
  
  
  Additional Comments:

  Automation Engineer Relevant Experience: 3 to 5 years of hands-on experience with Kubernetes and cloud-native automation, focusing on eliminating repetitive tasks through scripting, IaC, and self-healing mechanisms. 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 and 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 (provisioning, upgrades, scaling). • Reliability & Observability • Build self-healing mechanisms for common failure scenarios. • Enhance observability by automating metrics, logging, and ing integrations. • CI/CD & Infrastructure as Code • Implement and maintain CI/CD pipelines for application and infrastructure deployments. • Use Infrastructure as Code (IaC) tools for consistent environment management. • Collaboration & Best Practices • Work closely with SREs, developers, and platform teams to improve reliability and reduce MTTR. • Advocate for automation-first culture and SRE principles across teams. Required skills • 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: Jenkins, GitLab CI, or similar. • IaC Tools: Terraform. • Observability: Familiarity with Splunk. • Version Control: Strong Git skills and experience with GitOps workflows. • Problem-Solving: Ability to analyze operational pain points and design automation solutions.

Kubernetes,Cloud Platform,Python Scripting,Sre