Product Engineer – Full‑Stack Software Engineer

About the role

This is a full‑stack product engineering role at a consumer fintech company helping everyday people manage cash flow, access earned wages early, and build credit. You’ll work closely with product, engineering, and business leaders to ship high‑impact features that directly improve users’ financial wellbeing.

Key responsibilities

• Build product features end‑to‑end, including domain models, business logic, and API integrations.
• Drive deployment and iteration using a data‑driven, incremental approach toward bold product milestones.
• Use SQL and analytics tools to evaluate product and system performance regularly.
• Test and debug complex state machines in an event‑driven backend that relies heavily on pub/sub messaging.
• Ship to production daily through a rapid CI/CD pipeline, owning implementations end‑to‑end and responding to production incidents as needed.

Required profile

• 3+ years of experience building backend features end‑to‑end for production systems.
• Proficiency designing and consuming RESTful APIs, including authentication, authorization patterns, and rate limiting.
• Experience with event‑driven architectures and message queues such as Kafka, Pub/Sub, or similar.
• Experience with relational databases (PostgreSQL or MySQL), including data modeling and query optimization.
• Hands‑on experience with CI/CD pipelines, version control, automated testing, and code review processes.
• Experience developing consumer‑facing products.
• Experience debugging complex state machines in event‑driven systems.
• Strong computer science fundamentals: algorithms, data structures, and system design.
• Meaningful experience at an early‑stage startup or high‑growth environment.
• Experience with Go (golang) deployed on GCP is a plus.
• Must be based in, or willing to relocate to, San Francisco or Seattle for in‑person work.

Required skills

• Go (golang)
• Google Cloud Platform (GCP)
• Kafka
• Pub/Sub
• PostgreSQL
• MySQL
• RESTful APIs
• SQL
• CI/CD pipelines
• Git (version control)
• Automated testing
• Event‑driven architecture
• Message queues