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.