About this role
About the Role
An early-stage adtech startup building AI-native advertising infrastructure is looking for a Full Stack Software Engineer to join their growing engineering team. You'll work across an advertiser-facing platform, attribution systems, and analytics pipelines — owning projects end to end in a fast-paced, high-impact environment. This role sits at the intersection of engineering and go-to-market, so you'll be translating real customer and business needs into robust technical solutions.
What You'll Do
Own technical projects from scoping and design through implementation, testing, deployment, and production maintenance.
Build and maintain reliable backend systems and production-grade APIs (REST, gRPC) with a focus on scalability and fault tolerance.
Operate and improve production services: monitoring, observability, incident response, and performance troubleshooting.
Work with AWS cloud services — deploying, operating, and troubleshooting in production environments.
Design and optimize PostgreSQL schemas and queries for analytical and transactional workloads.
Collaborate closely with GTM and product stakeholders to turn business requirements into technical solutions.
Contribute to analytics, attribution, and event-driven data pipelines that power measurement and reporting.
What We're Looking For
Required:
Proven track record owning technical projects end to end in production environments.
Hands-on experience building backend systems and designing/consuming production APIs.
Strong practical AWS experience (deploying, operating, troubleshooting).
Proficiency in Python (Django and/or FastAPI), REST API design, and async patterns.
PostgreSQL experience: query optimization and schema design.
Legal authorization to work in the United States without visa sponsorship (now or in the future) — the company does not provide visa sponsorship.
Nice to Have:
Experience with analytics, attribution, adtech, or event-driven/data pipelines and instrumentation.
Familiarity with ClickHouse or other column-oriented OLAP databases at scale.
Containerized deployments (Docker, Kubernetes) and cloud infrastructure.
Background in real-time data systems, event streaming (Kafka, Redis Streams), or high-throughput API design.
Prior experience at an early-stage startup or a major tech company shipping production code.
Bachelor's degree in Computer Science, Engineering, or equivalent practical experience (preferred, not required).
Compensation & Benefits
Salary: $120,000 – $150,000 USD annually
Early-stage equity opportunity
Location
This is an on-site role based in San Francisco, CA. Candidates must be willing and able to work from the San Francisco office. Visa sponsorship is not available.