Senior Software Engineer, Growth

We are looking for a Senior Software Engineer, Growth to join our Software Engineering Team focussed on growth and experimentation initiatives. This role will partner closely with Product, Design, Marketing, and PLG to build, launch, and optimize high-impact growth experiments across Docker products and also build the CX for common Docker surfaces.

This is a full-stack software engineering role with a growth lens, focused on delivering measurable business outcomes like increased activation, retention, and expansion—by writing high-quality, production-grade code, instrumenting the right signals, and turning data into product improvements that millions of developers feel.

- Build and ship behavior-based user experiences that drive onboarding, activation, checkout flows and retention across Docker’s product suite.

- Design and implement end-to-end growth experiments—from hypothesis to implementation to post-launch analysis.

- Collaborate with Product, Design, Marketing, and Ops teams to deliver high-velocity experiments that improve core funnel metrics.

- Write production-grade code across Docker’s stack, including frontend (React/JavaScript), backend (Go/Python), and cloud services.

- Leverage A/B testing frameworks and in-app engagement tools to optimize personalized user journeys.

- Share experiment outcomes, insights, and next-step recommendations with stakeholders across product and business functions.

- This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed

- 6+ years of software engineering experience, including exposure to growth engineering, experimentation systems, Data engineering , product-focused development.

- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience

- Strong proficiency in JavaScript/TypeScript and React for building user-facing product experiences and go for backend services

- Hands-on experience implementing A/B tests and feature flags in production environments.

- Familiarity with analytics and experimentation tools such as Adobe Target, Unleash, or Looker.

- Comfortable working across the full stack — front end and backend

- Experience with Snowflake , redshift or similar data warehouse tooling for querying experiment results.

- Strong communicator and collaborator with a pragmatic and flexible approach to experimentation and iteration.

- Outcome-oriented and self-directed, with a passion for improving developer experience and product usability at scale.

- Execution-focused and thorough — you care about shipping clean, well-instrumented code, not just shipping fast.

- Comfortable with ambiguity as well as precise requirements.

- Works well with and builds trust across all organizations at any level.