2. DevOps & Infrastructure

Manages internal developer platforms, CI/CD pipelines, and developer experience through SRE operations.

Automates routine Git operations including commits, branching, merging, and release management to streamline development workflows.

Provides AWS infrastructure as code patterns and best practices for serverless, containers, and cloud-native applications using the AWS CDK framework.

Enables API interaction for Datadog incident management, including fetching, updating, and analyzing incident data structures.

Searches Datadog logs using API with query syntax, storage tiers, and pagination for infrastructure monitoring.

Plans and executes performance tests, including load testing and Core Web Vitals measurement using Lighthouse for web application optimization.

Expert in deploying Next.js and edge-first applications on Vercel with Edge Functions, optimization, preview deployments, and ISR coverage.

Expert in deploying containerized full-stack applications on Railway with Docker, multi-service architecture, persistent volumes, and auto-scaling.

Automates committing and previewing newly generated sponsor reports from the docs/ directory to version control, with optional push to remote repository.

Manages web server configurations for nginx, Apache, and IIS, handling SSL/TLS, load balancing, security hardening, and performance optimization.

Guides users in creating and configuring a GitHub App for secure workspace authentication, including credentials setup and automatic token refresh.

Manages project releases through CI/CD pipelines using Semantic Versioning and GoReleaser automation.

Manages user configuration files (dotfiles) across platforms using dotter, with security best practices and deployment automation.

Manages Railway.com deployments for GitHub, Docker, and local sources with redeployment, rollback, and health monitoring capabilities.

Expert guidance on Neon, a serverless PostgreSQL service with auto-scaling, database branching, PITR, and connection pooling for serverless applications.

Deploys and manages containerized AI agents on Microsoft Foundry Agent Service, enabling scalable, observability-driven enterprise AI solutions with Azure integration.

Configures Model Context Protocol (MCP) servers for Claude Code and AI platforms, ensuring infrastructure readiness.

Optimizes GitHub Actions workflows by analyzing usage context to enhance CI/CD pipeline efficiency and reliability.

Python client library for Kubernetes API, enabling programmatic management of cluster resources and automation of K8s operations.

Automates setup of remote GPU rental machines for distributed training using public-to-private IP mappings for single or multi-node configurations.

Deletes cloud storage resources or files on the Agentuity platform with authentication. Enables secure infrastructure management operations.

Coordinates repository snapshots, gate runs, and optional workflow cycle operations for a single station execution in CI/CD pipelines.

Configures EKS cluster networking with VPC CNI, load balancers, and network policies for security, connectivity, and cost optimization.

Guides and automates release preparation and deployment processes for staging and production environments.