Developer III - DevOps Engineering

3 - 5 Years
10 Openings
Trivandrum

Role Proficiency:

Acts under minimum guidance of DevOps Architect to set up and manage DevOps tools and pipelines.

Outcomes:

Measures of Outcomes:

Outputs Expected:

Automated components:

Configured components:

Scripts:

Onboard users:

Mentoring:

Stakeholder Management:

Data Base:

Skill Examples:

Knowledge Examples:

• Knowledge of Installation/Config/Build/Deploy tools and knowledge of DevOps processes
  • 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 & tools

  • Knowledge of Agile methodologies

  • Knowledge of security policies and tools
  
  
  Additional Comments:

  • 5+ years of experience as an SRE, DevOps Engineer, or similar role. • Proficiency in scripting and automation (Bash, Python, Go, etc.). • Strong experience with containerization and orchestration (Docker, Kubernetes, Helm). • Solid understanding of Linux systems administration and networking fundamentals. • Experience with cloud platforms (AWS, Azure, or GCP). • Experience with IaC tools like Terraform or CloudFormation. • Familiarity with GitOps and modern deployment practices. • Hands-on experience with observability tools (e.g., Prometheus, Grafana, Datadog). • Strong troubleshooting and incident response skills. Preferred: • Experience in a high-traffic, microservices-based architecture. • Exposure to service meshes (Istio, Linkerd). • Certifications (AWS Certified DevOps Engineer, CKA, etc.) • Experience with security automation and compliance (e.g., SOC2, ISO27001). Soft Skills: • Strong communication and collaboration abilities. • Ability to thrive in a fast-paced, agile environment. • Analytical mindset and proactive approach to problem-solving. • A passion for automation, performance, and system design. Design, build, and maintain reliable, scalable, and secure cloud-based infrastructure (AWS, Azure, or GCP). • Develop and improve observability using monitoring, ing, logging, and tracing tools (e.g., Prometheus, Grafana, ELK, Datadog, etc.). • Automate repetitive tasks and infrastructure using Infrastructure-as-Code (Terraform, CloudFormation, Pulumi). • Create and maintain CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, ArgoCD, etc.) to support fast and safe delivery. • Lead incident response, root cause analysis, and postmortems to ensure high uptime and rapid recovery. • Optimize system performance, reliability, and cost-effectiveness through proactive monitoring and tuning. • Collaborate with software engineering teams to define SLAs/SLOs and improve service reliability. • Implement and maintain security best practices across environments (e.g., secrets management, IAM, firewalls, etc.). • Maintain disaster recovery plans, backups, and high-availability strategies.

Kubernetes,Cloud Platform,Python Scripting,Sre