The ad says“Experience designing and scaling A/B testing systems and feature flag orchestration”
The ad says“Familiarity with growth metrics and product analytics tools (Amplitude, etc.)”
The ad says“Experience with cloud platform infrastructure (e.g., AWS, GCP, Azure)”
The ad says“Experience with cloud platform infrastructure (e.g., AWS, GCP, Azure)”
The ad says“3+ years of experience building backend or infrastructure-focused services”
The ad says“Experience with CI/CD systems and Infrastructure as Code (Terraform, CloudFormation, etc.)”
The ad says“Experience with cloud platform infrastructure (e.g., AWS, GCP, Azure)”
The ad says“Experience with CI/CD systems and Infrastructure as Code (Terraform, CloudFormation, etc.)”
The ad says“Proficient with containerization (Docker, Kubernetes) and distributed systems”
The ad says“Solid understanding of data pipelines, ETL processes, and databases”
The ad says“Solid understanding of data pipelines, ETL processes, and databases”
The ad says“Knowledge of observability tools (Datadog, etc)”
The ad says“Proficient with containerization (Docker, Kubernetes) and distributed systems”
The ad says“Proficient with containerization (Docker, Kubernetes) and distributed systems”
The ad says“Solid understanding of data pipelines, ETL processes, and databases”
The ad says“Experience with experimentation platforms (StatSig, Segment, LaunchDarkly, or in-house)”
The ad says“Experience designing and scaling A/B testing systems and feature flag orchestration”
The ad says“Experience with cloud platform infrastructure (e.g., AWS, GCP, Azure)”
The ad says“Strong programming skills in languages such as Python, Go, or JavaScript”
The ad says“Experience with CI/CD systems and Infrastructure as Code (Terraform, CloudFormation, etc.)”
The ad says“3+ years of experience building backend or infrastructure-focused services”
The ad says“Strong programming skills in languages such as Python, Go, or JavaScript”
The ad says“Proficient with containerization (Docker, Kubernetes) and distributed systems”
The ad says“Experience with experimentation platforms (StatSig, Segment, LaunchDarkly, or in-house)”
The ad says“Knowledge of observability tools (Datadog, etc)”
The ad says“Familiarity with growth metrics and product analytics tools (Amplitude, etc.)”
The ad says“Strong programming skills in languages such as Python, Go, or JavaScript”
The ad says“Experience with experimentation platforms (StatSig, Segment, LaunchDarkly, or in-house)”
The ad says“Experience with experimentation platforms (StatSig, Segment, LaunchDarkly, or in-house)”
The ad says“Experience with CI/CD systems and Infrastructure as Code (Terraform, CloudFormation, etc.)”
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
