Senior Software Engineer - Backend

Responsibilities

Expand and maintain customer-facing services and APIs. You'll build and improve the services customers interact with directly: interactive services and async processing pipelines, web app integrations, and APIs that connect them.

Design and implement APIs and data models. You'll architect and implement RESTful API endpoints that cleanly separate data from business logic, are well-documented, and are built to the standards customers and field engineers depend on.

Collaborate across product, SRE, and field engineering. You collaborate with product managers and technical stakeholders to understand requirements and clarify interface design. You partner with SRE on deployment and operational concerns.

Own features end to end. You'll design, implement and ship solutions, and keep them running. You're not done when the PR merges.

Debug production issues and improve service reliability. You'll contribute to observability, alerting, and the ongoing health of the services your team operates. You participate in incident response and drive root-cause improvements.

Uphold and contribute to engineering standards. You follow and help shape team standards around testing, code quality, API documentation, dependency management, and service structure. You leave the codebase better than you found it.

What You Need to Succeed

Track record of delivering complex backend features. You've owned non-trivial backend projects end to end - from design through to production - across APIs, databases, and service integrations.

API design experience. You're comfortable designing RESTful APIs: resource modeling, separation of data and business logic, authentication, versioning, and documentation. You understand what makes an external-facing API maintainable.

Python web frameworks and relational databases. Hands-on experience with Flask, FastAPI, or equivalent frameworks; PostgreSQL or similar; ORM patterns; and writing production-grade backend code.

Containerized deployment. Experience deploying, operating, and debugging services on Linux using Docker and Kubernetes.

Production service ownership. You've owned services in production: monitoring, alerting, on-call response, and the follow-through after an incident.

Requirement gathering and collaboration. You can work with product and customer-facing stakeholders to clarify requirements, surface interface design questions early, and produce concrete designs before implementation starts.

Skills

Languages and Frameworks. Python, FastAPI, Flask, PostgreSQL, React, TypeScript

Systems & Infrastructure. AWS (S3, RDS, Lambda, EKS), Docker, Kubernetes, GitHub Actions, Jenkins, gRPC, Proto

Domain Experience. RESTful API design and documentation. Production service ownership. Data pipeline operation. Observability tooling (Prometheus, Grafana). Experience in simulation, ML pipelines, or autonomous systems is an advantage.

Bonus Points

Experience with event-driven systems and message brokers (e.g., Redis, SQS, RabbitMQ)

Experience with workflow orchestration tools (e.g., Apache Airflow)

Familiarity with load balancers, HTTP proxies, or service mesh patterns

Experience with ORMs such as SQLAlchemy

Background supporting production monitoring databases and alerting infrastructure

Primary ownership of a production React web application, including architecture, state management, and deployment

Experience with frontend testing, build tooling, or performance optimization

What Makes a Great Candidate

You take ownership of what you build and stay engaged with it after it ships. You move well from a stakeholder conversation to a design doc to working code. You follow best practices not because you're told to but because you understand why they matter. You're invested in outcomes - you think past the spec to whether what you're building is actually the right solution, you push back when it isn't, and you make the systems and people around you more effective as a result.