Software Engineer, Replit

• 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)

Desirable

• We are looking for an experienced Growth Infrastructure Engineer to build and maintain the technical backbone that enables scalable growth experiments, high-performance data pipelines, and automated systems that drive user acquisition, engagement, and product iteration
• This role sits at the intersection of growth, product, and infrastructure — combining deep technical engineering with experimentation and data-driven optimization
• You will collaborate with product, data science, and backend teams to ensure that growth initiatives run smoothly and scale efficiently across 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
• 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
• 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
• Implement monitoring and alerting for growth infrastructure services
• Troubleshoot production issues and optimize for uptime and performance
• Ensure data quality and consistency for reporting and decision-making
• Evaluate new tools, frameworks, and platforms that accelerate growth engineering
• Drive best practices in infrastructure as code, CI/CD, and automated testing
• Train and mentor teammates on growth infrastructure principles. (Teal)
• 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