Max Marler's Resume

Skills

Cloud Platforms: GCP (Professional Solutions Architect), AWS (Solutions Architect), Azure
AI: AI Code Generation (Code Assist, Cline, RooCode)
Infrastructure Automation: Terraform (full org IaC)
Containerization and Orchestration: Kubernetes (GKE), Docker
Development Tools and CI/CD: Jira, Confluence, Github, GitLab, Github Actions, GitLab CI/CD
Programming: Python, Go, Java, C
System Administration: 9+ yrs Unix/Linux (Red Hat 7), Bash
Key Concepts: DevOps Methodologies, Cloud Platform Architecture, Microservices Architecture, Serverless (Cloud Run, Lambda), Compliance (DoD IL5, ITAR, CUI), Agile
Databases: SQL, Firestore, BigQuery
Networking: HTTP, TCP/IP, DNS, Cloud Networking (VPC, Load Balancers, IAP)

Oct 2024 - present
Tysons, VA (Remote)
As principal engineer, led a 4-person engineering team that scaled a secure GCP organization from 100 to over 200 research projects for the U.S. Air Force Research Lab (AFRL) at IL4, implementing automated, near-instant project deployment to support cutting-edge cloud-based research.
Engineered an end-to-end Terraform and GitLab automation solution that reduced new project provisioning time from over 2 hours to under 5 minutes, eliminating nearly 100% of manual configuration change requests.
Developed a secure, multi-tenant GKE/Cloud Run hosting platform that empowered AFRL research teams to independently deploy over a dozen internal web applications, secured via Google's Identity-Aware Proxy (IAP).
Dramatically improved deployment efficiency by re-architecting GitLab/Terraform CI/CD jobs, reducing pipeline execution time by 80% (from 25+ min to under 5 min). Also automated GitLab Service Desk to establish a less than 24-hour initial response time for all new technical issues.
Elevated team performance by mentoring junior engineers to achieve full autonomy, while leading design reviews that preemptively identified and resolved infrastructure misconfigurations, ensuring uninterrupted service for end-users.
Successfully coordinated the rollout of a major new platform version across 200+ projects.
Authored a comprehensive technical knowledge base that empowered researchers new to the cloud and reduced new engineer onboarding time by 50%.

Feb 2020 – Oct 2024
Pasadena, CA (Remote)
Led the successful migration of 1,000+ critical satellite data collections (18M+ granules) to AWS by engineering an automated, serverless data ingest workflow, significantly enhancing data availability and resilience.
Increased data migration throughput by 30% through the optimization of parallel batch processing and automated error handling routines.
Owned the operational stability of a public-facing data portal and its backend pipelines, ensuring reliable access to satellite data and value-added tools for the global scientific community.
Ensured high availability for a critical AWS production system (S3, SQS, Lambda) by proactively monitoring satellite data latency and resolving ingestion issues before they impacted climate researchers.

Feb 2024 – present
Freelance
Applied Reinforcement Learning from Human Feedback (RLHF) techniques to fine-tune large language models, improving model generative accuracy and factual correctness.
Authored Python scripts to evaluate and reverse-engineer AI-generated code, identifying logical flaws and pathways for model improvement.
Conducted rigorous evaluations of AI models to ensure alignment with safety and ethical guidelines, specifically testing for harmlessness, truthfulness, and bias to mitigate public-facing risks.