Chris Stipes, engineering leader

Chris Stipes

Engineering Leader • Systems at Scale • Quality by Design

Let's work together to build reliable systems.

Engineering leader with 12+ years of experience across backend, platform, QA, and mobile engineering. I scale teams, modernize infrastructure, and build resilient, observable, and secure systems—integrating with external providers, driving API interoperability, and architecting AWS serverless data pipelines. Passionate about developer velocity, testing in production, and building high-impact platforms; hands-on with a people-first leadership style.

Services that survive Super Bowl commercial scale.
Peak 80k RPS burst and 5x normal traffic for hours after commercial.
QA Practices that enable fast iterations.
Weekly mobile releases on both iOS and Android with 99.98% crash free users.
Experiences that users love.
Digital Receipt users doubled after a faster, more reliable, easier to use re-design.
Let’s work together

Ready to build?

I lead teams to ship stable, scalable platforms with strong SLOs, clean interfaces, and observability-first practices.

Capabilities

What I Do

Distributed Systems & APIs

Designing reliable, observable services with pragmatic interfaces and strong SLOs.

Quality & Performance Engineering

Shift-left testing, automation-first practices, and performance baselines baked into CI/CD.

ML/AI–adjacent Platforms

Building data pipelines and evaluation loops that turn models into production value.

Team Leadership

Coaching managers and ICs, raising the bar on delivery, standards, and outcomes.

CORE SKILLS

Core Skills

Programming & Frameworks

Go, Python, Ruby, JavaScript, gRPC/Protobuf, GraphQL

Quality & Automation

Playwright, Appium, Cypress, Detox, Selenium, Postman, custom Go/Python test frameworks

Performance & Reliability

Locust, Grafana k6, Artillery, Observability-driven testing, CI/CD quality gates

Cloud & Platforms

AWS (S3, Lambda, SNS/SQS), Docker, Microservices, Snowflake

GenAI & Data

Prompt engineering, ML/AI quality validation, LLM-based test design (emerging), Python-based ML benchmarking tools

Blog