DevOps & Release Engineering Topics
CI/CD pipeline design, build automation, deployment strategies, release management, artifact repositories, version control integration, and continuous delivery practices. Covers infrastructure automation for delivery workflows, release gates and approvals, multi-service orchestration, rollback strategies, and GitOps approaches. Distinct from Cloud & Infrastructure by focusing specifically on delivery automation and release processes rather than infrastructure platforms.
Development Standards and Governance
Focuses on establishing, communicating, and enforcing team and cross team processes that ensure consistent technical quality. Topics include coding standards and style guides, code review policies and workflows, branch and release strategies, continuous integration and continuous delivery pipelines, static analysis and linting toolchains, automated quality gates and pre commit checks, integration of testing into pipelines, metrics for defect rates complexity and coverage, strategies to manage technical debt and legacy code, governance models for exceptions and escalation, and balancing standard strictness with developer productivity. Interviewers look for experience designing standards, driving adoption, integrating tool chains, and measuring impact.
Continuous Integration and Delivery Pipelines
Design and implement continuous integration and continuous delivery pipelines that reliably build, test, validate, and deploy applications and infrastructure. Topics include pipeline as code practices, defining stages and triggers for builds and tests, automated testing strategies across unit, integration, smoke, and end to end tests, gating and environment promotion, branching and release strategies, artifact management and versioning, and deployment patterns such as rolling updates, blue green deployments, and canary releases. Candidates should be able to design rollback and recovery procedures, integrate infrastructure provisioning into pipelines, select and configure pipeline tooling such as Jenkins, GitHub Actions, GitLab CI, Azure Pipelines, or cloud vendor pipeline services, and reason about observability and reporting for pipeline health and test execution. Practical considerations include environment parity, pipeline security, secrets handling, pipeline as code best practices, and trade offs between speed and safety.
Deployment and Release Strategies
Covers end to end practices, automation, and architectural choices for delivering software safely and frequently. Candidates should understand and be able to compare deployment and upgrade approaches such as blue green deployment, canary releases, rolling updates, recreate deployments, shadow traffic and shadow deployments, and database migration techniques that avoid downtime. This topic includes progressive delivery and feature management practices such as feature flagging, staged rollouts by user cohort or region, staged traffic ramp up, and progressive delivery platforms. Candidates should be able to explain safety controls and verification gates including health checks, automated validation gates, smoke testing and staging verification, automated rollback criteria, and emergency rollback procedures. They should understand zero downtime patterns, rollback complexity and mechanisms, capacity and resource requirements, latency and consistency trade offs, and techniques to reduce blast radius and deployment risk. The topic also covers release engineering and operational practices such as release orchestration across environments, deployment automation and pipelines, continuous integration and continuous delivery practices, approvals and release management processes, incident response and communication during releases, chaos testing to validate resilience, and observability and monitoring to detect regressions and measure release health. Candidates should be able to describe metrics to measure deployment velocity and reliability such as deployment frequency, mean time to recovery, and change failure rate, and explain how to design frameworks, automation, and operational processes to enable frequent safe deployments at scale.