Software Engineer - Full Stack

Job Description

Job Description

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.