Software Engineer, Growth Infrastructure

Foster City, CA · Remotefull timeRemote

mid

$180k–$290k

H1B: yes

Replit The Software Engineer, Growth Infrastructure at Replit builds and maintains scalable infrastructure and data pipelines to support growth experiments and user acquisition. This role collaborates with product, data science, and backend teams to optimize growth initiatives and automate workflows.

Responsibilities

Growth Infrastructure & Systems
Design, implement, and maintain scalable infrastructure that supports growth and experimentation needs.
Build and optimize analytics pipelines to capture key product and growth metrics (acquisition, activation, retention, etc.).
Develop automated workflows for user onboarding, campaign delivery, and performance tracking.
Experimentation & Optimization
Support A/B testing frameworks and integrate them into production systems.
Enable reliable data collection and evaluation for growth experiments.
Automate deployment and rollout of growth feature flags and tests.
Cross-Functional Collaboration
Partner with Growth Product Managers, Data Engineers, and Analysts to define technical requirements for growth initiatives.
Translate business goals into technical specifications and system designs.
Provide guidance on performance, reliability, and scalability trade-offs.

Qualification

Bachelor’s degree in Computer ScienceSolid understanding of data pipelinesWhat Success Looks Like

Required

Bachelor’s degree in Computer Science, Software Engineering, or related technical field.
3+ years of experience building backend or infrastructure-focused services.
Strong programming skills in languages such as Python, Go, or JavaScript.
Experience with cloud platform infrastructure (e.g., AWS, GCP, Azure).
Solid understanding of data pipelines, ETL processes, and databases.
Experience with CI/CD systems and Infrastructure as Code (Terraform, CloudFormation, etc.).
Experience with experimentation platforms (StatSig, Segment, LaunchDarkly, or in-house).

Preferred

Familiarity with growth metrics and product analytics tools (Amplitude, etc.).
Experience designing and scaling A/B testing systems and feature flag orchestration.
Proficient with containerization (Docker, Kubernetes) and distributed systems.
Knowledge of observability tools (Datadog, etc).
What Success Looks Like
Growth initiatives that deploy reliably and quickly with minimal manual intervention.
High-fidelity data pipelines that enable real-time insight into key growth metrics.
Growth teams are empowered to run experiments and launch campaigns without heavy infrastructure support.