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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.
Job Responsibility:
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
Requirements:
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)
Nice to have:
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