Job Description
Job DescriptionAbout 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
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Own technical projects from scoping and design through implementation, testing, deployment, and production maintenance.
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Build and maintain reliable backend systems and production-grade APIs (REST, gRPC) with a focus on scalability and fault tolerance.
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Operate and improve production services: monitoring, observability, incident response, and performance troubleshooting.
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Work with AWS cloud services — deploying, operating, and troubleshooting in production environments.
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Design and optimize PostgreSQL schemas and queries for analytical and transactional workloads.
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Collaborate closely with GTM and product stakeholders to turn business requirements into technical solutions.
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Contribute to analytics, attribution, and event-driven data pipelines that power measurement and reporting.
What We're Looking For
Required:
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Proven track record owning technical projects end to end in production environments.
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Hands-on experience building backend systems and designing/consuming production APIs.
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Strong practical AWS experience (deploying, operating, troubleshooting).
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Proficiency in Python (Django and/or FastAPI), REST API design, and async patterns.
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PostgreSQL experience: query optimization and schema design.
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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:
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Experience with analytics, attribution, adtech, or event-driven/data pipelines and instrumentation.
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Familiarity with ClickHouse or other column-oriented OLAP databases at scale.
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Containerized deployments (Docker, Kubernetes) and cloud infrastructure.
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Background in real-time data systems, event streaming (Kafka, Redis Streams), or high-throughput API design.
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Prior experience at an early-stage startup or a major tech company shipping production code.
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Bachelor's degree in Computer Science, Engineering, or equivalent practical experience (preferred, not required).
Compensation & Benefits
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Salary: $120,000 – $150,000 USD annually
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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.