2. DevOps & Infrastructure

Designs multi-cloud architectures by selecting and integrating services across AWS, Azure, and GCP to avoid vendor lock-in and leverage best-of-breed solutions.

Expert in building AWS cloud infrastructure using CDK with TypeScript/Python, covering stack composition, constructs, and deployment workflows.

Creates production-ready Kubernetes manifests for Deployments, Services, ConfigMaps, and Secrets following security best practices.

Expert in designing and implementing AWS serverless event-driven architectures using Well-Architected Framework best practices.

Provides defensive programming patterns for Bash scripts to ensure robustness in production environments, CI/CD pipelines, and system utilities.

Enables request tracking across microservices using Jaeger and Tempo for debugging and performance analysis in distributed systems.

Linux performance analysis tool using perf_event for real-time diagnostics of CPU, memory, I/O, and latency issues.

Automates end-to-end software delivery, enabling AI-powered feature deployment without manual intervention.

Automates application deployment through customizable scripts and templates for efficient release management.

Enables remote code synchronization and command execution on remote machines via the rr CLI for development, testing, and troubleshooting.

Performs a read-only health and security check on an Ubuntu VPS (Docker), reporting on UFW and fail2ban, and proposes fixes without automatic application.

Automates diagnosis and resolution of GitHub Actions CI failures through log inspection, root cause analysis, and workflow patching.

Automates safe identification and removal of stale Git branches locally and remotely with reversible steps.

Automates multi-cloud infrastructure deployment and management across AWS, Aliyun, and Tencent Cloud using Terraform with full lifecycle commands.

Provides best practices for writing efficient bash/zsh scripts to automate tasks, build CLI tools, and debug shell commands.

Standardizes test planning, execution, and reporting to enhance software quality and DevOps pipeline efficiency.

Monitors and optimizes WiFi networks by analyzing signal strength, channel usage, and client connections for improved performance.

Deploys PostgreSQL on Kubernetes using CloudNativePG operator for high availability, automated failover, and production-ready cluster management.

Provides best practices for building production-ready Apache Airflow DAGs with operators, sensors, testing, and deployment for data pipelines and workflow orchestration.

Automates application deployment to cloud Kubernetes clusters (AKS, GKE, DOKS) using CI/CD pipelines, including configuration management and troubleshooting.

Verifies test coverage for critical paths in CI/CD, issuing warnings to encourage testing without blocking deployment.

Provides AIOps best practices for intelligent monitoring, automation, incident response, and observability across diverse infrastructure platforms.

Automates pre-commit and pre-deployment quality checks including linting, type checking, tests, and security audits to ensure code quality and security.

Automates Bitbucket pipeline management via Node.js API, enabling status monitoring, failure analysis, log downloads, and build triggering without MCP approval.