Software Engineer – Full Stack

Clera

📍San Francisco, CA
💰 $120,000 - $150,000
Posted May 24, 2026
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Job Overview

Position

Software Engineer – Full Stack

Company

Clera

Location

San Francisco, CA

Work Type

On-site

Salary Range

$120,000 - $150,000

Job ID

li-4418677777

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.

✦

Interview Prep

AI-powered insights to help you prepare

Key Skills

Required:
Preferred:

Practice Questions

💡Technical Questions (3)
  • 1.How would you design a PostgreSQL schema for an ad attribution system that needs to handle both high-volume transactional writes and complex analytical queries without performance degradation?
  • 2.Can you explain how you would build a high-throughput, async API using FastAPI for an advertiser-facing platform that needs to handle concurrent event ingestion?
  • 3.Describe your approach to monitoring, observability, and incident response for a distributed adtech API running on AWS.
🎯Behavioral Questions (3)
  • 1.Tell me about a time you owned a technical project end-to-end, from initial scoping with stakeholders all the way to deployment and production maintenance.
  • 2.Give an example of a time you had to translate ambiguous business or go-to-market requirements into a robust technical solution.
  • 3.Describe a situation where you had to optimize a slow, production PostgreSQL query that was impacting system performance.
🧩Situational Questions (2)
  • 1.You deploy a new version of the advertiser-facing API, and shortly after, the GTM team reports that client event data is dropping intermittently. How do you handle this?
  • 2.Product wants to build a real-time attribution dashboard, but your current data pipeline relies on batch processing, and rebuilding it for real-time streaming will take weeks. How do you approach this?

Resume Keywords

Make sure these keywords appear on your resume

Full StackPythonFastAPIDjangoPostgreSQLAWSREST APIAsyncData PipelinesAdTechAttributionObservability

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