DevOps Engineer

MSTRSelect Services Partner

Oct 2025 — Present

Azure, Pulumi, IaC, CI/CD, Azure OpenAI, Claude Code, Codex

• Serve as the sole infrastructure and DevOps engineer during a rapid deployment phase, owning infrastructure and releases across 8–15 projects and supporting 15 developers with technical guidance, deployment troubleshooting, and incident response.
• Architect cloud solutions across development, staging, and production, balancing reliability, security, performance, and cost; deploy AI models and supporting services to meet application and business requirements.
• Maintain and evolve Infrastructure as Code (IaC) using Pulumi, keeping environment configurations consistent, deployments repeatable, and infrastructure changes version-controlled.
• Contribute to engineering, maintenance, and cloud infrastructure optimizations estimated to deliver up to €100,000 annually in combined projected savings and cost avoidance.
• Serve as the technical liaison between founders, clients, and developers, translating requirements and coordinating delivery priorities; work with Azure and other vendors’ support engineers to investigate issues, escalate blockers, and resolve service constraints.
• Apply security best practices across infrastructure and deployment workflows, including access controls, secret management, configuration reviews, and ongoing security maintenance.
• Translate recurring engineering patterns into reusable project, deployment, and CI/CD templates, with repository-specific CLAUDE.md and AGENTS.md instructions documenting architecture, development conventions, and validation workflows for Claude Code and Codex.
• Use Claude Code and Codex for agentic infrastructure development, deployment automation, and troubleshooting, with engineering review and validation of AI-generated changes.

Python, GCP, AWS, Flask, Django, REST APIs, Docker, GitHub Actions, SQL, AI

• Operated as a multi-disciplinary engineer in a fast-paced startup, acting as a one-man team covering architecture, development, testing, and cloud engineering to deliver automation solutions under aggressive timelines.
• Developed web scraping systems with CAPTCHA bypass and human-like simulation, strictly targeting legally accessible public data (e.g., government sites).
• Integrated AI into automations, including summarizing voice recordings with Whisper and applying prompt engineering (K-shot, optimized prompts) for efficient, accurate results while reducing token usage. Leveraged GPT-4, Llama, and Claude for data summarization and analysis.
• Managed GCP cloud infrastructure: IAM, Secrets Manager, Cloud Scheduler, Cloud Run, Cloud Functions, Cloud SQL, Cloud Buckets, and API integrations. Designed ETL pipelines with GitHub Actions and Docker, leveraging containerization to streamline workflows.
• Established monitoring and incident response systems with Python logging and webhooks for Slack, Discord, and Twilio, enabling real-time alerts and fallback mechanisms.
• Conducted code reviews, managed pull requests, and implemented unit, integration, and regression testing. Applied SOLID, KISS, DRY, OOP, and clean code practices to build scalable, reusable, and maintainable systems.
• Delivered complete applications from scratch under tight deadlines. Built automations that streamlined business processes, improving productivity and client satisfaction.
• Engaged stakeholders through meetings and feedback sessions, ensuring delivered products met requirements and performed reliably.