Parallel Domain builds synthetic data and simulation platforms for autonomous vehicle and robotics teams. The Product Engineering team owns the customer-facing product and service layer: the self-serve platform for productizing ML reconstruction pipelines, our high-fidelity simulation-as-a-service product, the web applications and dashboards customers interact with directly, and the centralized backend services and APIs that connect them. We're hiring a Senior Software Engineer to own delivery across this stack. You'll design and build features and services end to end - from API design through to production - and take real ownership of the reliability and quality of what you ship. Our stack spans Python backend services, RESTful and gRPC APIs, relational databases, React frontends, and data pipelines. 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. ~ You'll design, implement and ship solutions, and keep them running. 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've owned non-trivial backend projects end to end - from design through to production - across APIs, databases, and service integrations. ~ You're comfortable designing RESTful APIs: resource modeling, separation of data and business logic, authentication, versioning, and documentation. Python web frameworks and relational databases. PostgreSQL or similar;
and writing production-grade backend code. ~ Containerized deployment. Experience deploying, operating, and debugging services on Linux using Docker and Kubernetes. ~ You've owned services in production: monitoring, alerting, on-call response, and the follow-through after an incident. ~ You can work with product and customer-facing stakeholders to clarify requirements, surface interface design questions early, and produce concrete designs before implementation starts. Languages and Frameworks. Python, FastAPI, Flask, PostgreSQL, React, TypeScript ~ AWS (S3, RDS, Lambda, EKS), Docker, Kubernetes, GitHub Actions, Jenkins, gRPC, Proto ~ Data pipeline operation. Experience in simulation, ML pipelines, or autonomous systems is an advantage. Bonus Points 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 You take ownership of what you build and stay engaged with it after it ships. 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. $

📌 (Senior-) Softwareentwickler (W/M/D)
🏢 Parallel Domain
📍 Vancouver