2. DevOps & Infrastructure

Provides SRE expertise for balancing feature velocity with system stability through SLOs, automation, and resilience engineering.

Expert database administration for high-availability, performance optimization, and disaster recovery across PostgreSQL, MySQL, MongoDB, and Redis, ensuring reliability and scalability.

Automates pull request creation and CI failure resolution through interactive confirmation until all checks pass.

Provides expert guidance on Kubernetes cluster management, container orchestration, and cloud-native infrastructure for scalable and secure production deployments.

Builds maintainable, scalable test frameworks integrated with CI/CD for comprehensive test coverage and quality assurance.

Automates detection, diagnosis, and resolution of production incidents using observability tools and root cause analysis to minimize downtime.

Assists in deploying portfolios to production using Vercel, Netlify, Docker, and AI-driven deployment workflows.

Provides standardized monitoring practices for DevOps environments, including best practices for infrastructure and application monitoring.

Automates comparison between production WordPress sites and baked static versions to detect missing assets, broken styles, or functional discrepancies during deployment testing.

Sets up GitHub Actions CI for Rust projects with workflows for clippy, rustfmt, tests, and cargo-deny.

Provides Kubernetes orchestration for containerized applications, covering deployments, services, security policies, and production best practices.

Provides comprehensive monitoring and observability solutions for distributed systems to ensure performance and reliability.

Provides standardized CI/CD pipeline configurations for GitHub Actions and GitLab CI, including testing gates and security scanning.

Provides standardized metrics practices for observability environments to ensure consistent system monitoring and performance analysis.

Provides standardized infrastructure configurations and best practices for DevOps environments, ensuring consistency and reliability.

Manages Kubernetes Custom Resource Definitions (CRDs) and Operators for extending cluster functionality with domain-specific logic.

Defines standardized logging practices for observability in infrastructure environments, ensuring consistent and actionable log data collection.

Provides essential patterns for reliable shell scripting including error handling, quoting, and integration with ShellCheck and Bats testing.

Manages containerized application deployment, scaling, and orchestration using Docker and Kubernetes principles.

Provides advanced AWS patterns for orchestrating serverless workflows and event-driven architectures using services like Step Functions and EventBridge.

Manages cloud and server infrastructure through code, enabling version control, automation, and consistent deployments.

Provides tools for developing, deploying, and managing serverless applications on cloud infrastructure.

Provides transparent service-to-service communication with observability, traffic management, and security features via infrastructure layer.

Provides standardized performance testing practices for load, stress, spike, and soak scenarios using k6 and JMeter, including SLI/SLO definitions and CI/CD integration.