# Eric Geniesse

> Software Engineer at Stripe

Location: Sunnyvale, California, United States
Profile: https://flows.cv/ericgeniesse

I'm a backend engineer that’s passionate about building great teams and uplifting others. Specialties include designing scalable systems and communicating with others. Recognized for leading cross-team projects, influencing the quarterly roadmap, and writing reliable and maintainable applications.

Languages: Typescript, Node/Javascript, Scala, Python, Bash
Technologies: AWS, Bazel, Terraform, Docker, Kafka, Buildkite, CI, Git, Jira

## Work Experience
### Senior Software Engineer @ Stripe
Jan 2021 – Present | San Francisco Bay Area

### Software Engineer @ Lyft
Jan 2019 – Jan 2021
Developing a self-driving system for the Lyft network to ensure access to the benefits for millions of riders.

* Built tooling to enable devs to build, validate, then deploy their software in a self-service fashion.
* Designed and implemented an analytics framework, integrating CI job lifecycle events with Kafka to provide consumers with a way to derive/publish metrics from CI builds.
* Built extensible service to publish metrics/alerts extracted from CI build logs. This was used by multiple teams to highlight build failure rates by cause and publish granular timing metrics.
* Migrated org from a single-instance artifact store (Nexus) onto a high-availability cluster (Artifactory).
* Coordinated with multiple teams to extend the build system to publish Bazel binaries as Debian packages.
* Crafted Bazel rules to share/consume pre-built targets between repos. This led to a 40% reduction in build time when it was used to externalize building third party libraries out of the main repo.
* Deployed CI worker queues partitioned by instance attributes allowing for allocation/scaling properties to meet build demand based on work type.
* Owned deployment and maintenance for third party services (Artifactory, Parasoft, Teamscale) in AWS cloud.
* Created an automated testing framework to validate instance configuration prior to service deployment.
* Wrote Terraform modules and bash scripts to automate deployments into AWS cloud infrastructure.

### Software Engineer @ Instrumental Inc.
Jan 2017 – Jan 2019 | San Francisco Bay Area
Building tools that empower hardware engineers to remotely debug issues on manufacturing lines.

• Architected features that span the stack, leading members of the data collection, machine learning, backend, and web app teams.
• Led development for cloud backend as well as the data collection stations.

Technologies used - Scala, Typescript, Graphql, Node, AWS, Python, Angular, Terraform

### Software Engineer @ Proteus Digital Health, Inc
Jan 2016 – Jan 2017 | San Francisco Bay Area
Integrating ingestible sensors, hardware, software, and medicine to offer the first-­ever UI for prescription drugs.

• Back end lead for API development to support the web app team. 
• Led development of internal tools used by dev ops and automated testing teams.

Technologies used - Node, AWS, Gulp, Lambda, Python

### Software Engineer @ Walmart Global eCommerce
Jan 2016 – Jan 2016 | San Francisco Bay Area
Ecommerce platform for Walmart and its subsidiaries.

• Built reusable React/Redux components used by Walmart and its tenants.

Technologies used - JavaScript, React, Redux, HTML, CSS


## Contact & Social
- LinkedIn: https://linkedin.com/in/egeniesse

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Source: https://flows.cv/ericgeniesse
JSON Resume: https://flows.cv/ericgeniesse/resume.json
Last updated: 2026-03-22