Remote Opportunity || Site Reliability Engineer/ Lead || Full Time (Permanent Position)

Position : Site Reliability Engineer/ Lead

Location: Remote - USA

Mode of Hire: Full Time

Job Description:

Mandatory Skills: Docker, Kubernetes, Public cloud, AWS or Google Cloud Platform, Python/Shell or any scripting.

• Proven experience in Technical project management with leading and managing DevOps/Agile projects, ensuring they are delivered on time, within scope, and on budget.
• Ensure high customer connect while building processes for all relevant team members to engage with the customer.
• Collaborate with stakeholders to define, measure, and track Service Level Objectives (SLOs), Service Level Indicators (SLIs), and Service Level Agreements (SLAs).
• Work closely with cross functional teams to plan, design, and implement reliability improvements and automation initiatives.
• Facilitate post-incident reviews (PIRs), ensuring action items are identified and followed through.
• Ensure that development, staging, and production environments are correctly configured.
• Drive initiatives to automate manual tasks and improve system observability and monitoring. Facilitate knowledge sharing across teams to ensure best practices are followed and operational knowledge is captured.
• Ensure all dependencies (libraries, services, etc.) are installed and compatible. Compile the code and create build artifacts.
• Use containerization (e.g., Docker) to package applications with their dependencies. Ensure compliance with organizational security policies.
• Decide on a deployment strategy (e.g., blue-green deployment, canary releases, rolling updates). Define rollback procedures in case the deployment fails.
• Ensure changes are reviewed, approved, and documented.
• Use CI/CD pipelines (e.g., Jenkins, GitLab CI, CircleCI) to automate the build, test, and deployment process.
• Ensure tests (unit, integration, end-to-end) are passing before deploying to production.
• Implement automated rollback mechanisms to revert to the previous stable version in case of a failed deployment.
• Ensure load balancers are properly configured to distribute traffic evenly across instances.
• Maintain up-to-date deployment playbooks, runbooks, and architecture diagrams. Continuously refine deployment processes based on this feedback.