DevOps & Automation

We build modular pipelines using GitHub Actions, GitLab CI, or Jenkins. Pipelines feature parallel job executors, automated testing phases, security linting, container builds, and canary deployment rollouts.

We write clean, dry, and versioned Infrastructure as Code configurations using Terraform, OpenTofu, Ansible, Pulumi, Packer, and AWS CloudFormation.

We deploy ArgoCD or Flux inside Kubernetes clusters to reconcile active running state directly with git repository configurations, preventing manual configuration drift.

We build internal developer portals (IDPs) using Spotify's Backstage, enabling developer teams to deploy pre-configured microservices, databases, and environments on-demand with one click.

We insert SAST checks (SonarQube), dependency scanners (Snyk, Trivy), and secret detectors (TruffleHog) into the git commit and build stages, blocking builds containing critical issues.

Yes. We implement container build-caching, parallel testing frameworks, thin alpine base images, and local container registries to optimize pipeline speeds.

We schedule daily automated dry-runs that compare current live configurations with git repository states, raising alerts and blocking merges if drift is detected.

We configure HashiCorp Vault, AWS Secrets Manager, or Azure Key Vault, injecting secrets dynamically into compute runtimes at execution time to avoid storing passwords in git.

We collaborate with your product owners to define user-centric reliability goals. We set up SLIs in Datadog or Prometheus and trigger alerts when error budgets are near exhaustion.

Yes. We conduct blameless post-mortems for production incidents, detailing the failure timeline, root cause analysis (RCA), and listing concrete action items to prevent recurrence.