DevOps Engineer - Part-Time

DevOps & Onboarding

Role Overview:

1. Kubernetes & Container Orchestration

• Deploy and manage containerized applications on a container orchestration platform
• Independently triage and troubleshoot workload issues (e.g., pods not starting, crash loops)
• Understand and work with: Workloads (stateless and stateful), Service exposure (internal/external), Configuration and secrets.
• Diagnose and resolve: Scheduling issues & Resource constraints (CPU/memory) & Networking issues between services
• Manage application scaling and resource tuning
• Understand cluster architecture and core components

2. CI/CD & Automation

• Design, build, and maintain CI/CD pipelines
• Understand full pipeline lifecycle:
• Build → Test → Scan → Release → Deploy
• Integrate pipelines with: Source control systems, Artifact repositories & deployment platforms
• Automate Application builds, Testing processes & Deployment workflows
• Troubleshoot pipeline failures independently
• Implement pipeline optimization (speed, reliability)
• Support secure pipeline practices (e.g., secrets handling, access control)

3. GitOps

• Understand and apply GitOps principles (Git as source of truth)
• Manage deployments using declarative configuration stored in version control
• FluxCD
• Structure repositories for:
• Multi-environment deployments
• Multi-tenancy setups

4. Infrastructure as Code (IaC) & ConfigurationManagement

• Write and maintain Terraform
• Provision and manage infrastructure using automation tools
• Manage services configuration through Ansible
• Implement Reusable modules/templates & Parameterization for environments
• Maintain version-controlled infrastructure
• Automate system configuration and setup
• Troubleshoot provisioning and configuration failures

5. Incident Management & Troubleshooting

• Perform independent incident triage and resolution based on defined procedures and SLAs
• Follow structured troubleshooting approach:

• Identify → Analyze → Plan of action -> Mitigate → Resolve

• Diagnose issues across Services & K8s
• Use logs, metrics, and system behavior to identify root cause
• Perform service restoration within defined SLAs
• Conduct post-incident analysis (RCA)
• Document: Incident findings & Preventive measure
• Escalate issues appropriately when required

6. Service Request Handling

• Fulfill service requests based on defined procedures
• Handle requests such as Onboarding & Bringing in of packages
• Validate and review request requirements before execution
• Maintain proper documentation and tracking
• Communicate status and updates clearly to stakeholders
• Identify opportunities to automate repetitive requests

Interested candidates, please send your CVs on [email protected]

Regret to inform that only shortlisted candidates will be notified.

CEI: R1988671

EA License: 14C7275