Posted 4 months ago
Senior Software Engineer - Backend
@ Parallel Domain
Vancouver, British Columbia
Overview
Parallel Domain is hiring a Senior Software Engineer for backend work on its customer-facing product and service layer. The role covers designing and shipping features end to end, building RESTful and gRPC APIs, and owning reliability in production. The posting states a full-time position with a focus on Python services and cross-stack delivery.
Pay:
$155,000–$175,000 a year
Responsibilities:
- Build and maintain customer-facing services and APIs
- Design and implement RESTful API endpoints and data models
- Own features end to end, from design to production
- Debug production issues and improve service reliability
- Uphold engineering standards for testing and code quality
Requirements summary:
- Track record of delivering complex backend features
- Strong RESTful API design experience
- Hands-on Python web framework and PostgreSQL experience
- Containerized deployment with Docker and Kubernetes
- Production service ownership and on-call response
Tools & skills
Source and dates
Employer career site / ATS feed · lever
- Employer posting date
- 2026-07-07
- First seen by our source
- 2026-10-08
- Source record updated
- 2026-10-09
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Hours per week | 40 (estimated) |
| Travel | air: none · ground: none |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Parallel Domain
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Programmatically test and validate autonomous systems at scale. High-fidelity sensor simulation in digital twins.
Full company description
We are on a mission to bridge the gap between simulation and the real world, ensuring autonomous systems perform flawlessly when it counts most. As the trusted first line of defense for innovators in autonomous driving, drone delivery, eVTOL, robotics, and beyond, we empower industry leaders to rigorously test and validate their systems at scale. Our high-fidelity, fully controllable, software-in-the-loop sensor simulation API provides unparalleled realism, accuracy, and confidence. In autonomy, there's simply no margin for error.
- LinkedIn followers
- 7,306
- People associated on LinkedIn
- 51
- Reported office locations
- 44 Montgomery St, San Francisco, California 94104, US
- 1290 Homer St, Vancouver, British Columbia V6B 2Y5, CA
- Roonstraße 23a, Karlsruhe, Baden-Württemberg 76137, DE
- Business categories
- Simulation
- Information Technology
- Software
- 3D Technology
- Big Data
- Computer Vision
- Autonomous Vehicles
- Machine Learning
- Other recorded names
- Parallel Domain
- Specialties
- machine learning
- AI
- artificial intelligence
- autonomous systems
- autonomous vehicles
- self-driving cars
- delivery drones
- computer vision
- simulation
- API
- testing AI
- validating AI
- testing and validation
- regression testing
- sensor simulation
- software-in-the-loop simulation
- digital twins
- eVTOL
- machine perception
- SIL
- and pattern recognition
- Profile identifies a recruitment agency
- No
- Reported total investment
- 43,940,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
We are on a mission to bridge the gap between simulation and the real world, ensuring autonomous systems perform flawlessly when it counts most. As the trusted first line of defense for innovators in autonomous driving, drone delivery, eVTOL, robotics, and beyond, we empower industry leaders to rigorously test and validate their systems at scale. Our high-fidelity, fully controllable, software-in-the-loop sensor…
| Field | Value |
|---|---|
| Industry | Software Development |
| Company size | 51-200 employees |
| Headquarters | San Francisco, California |
| Organization type | Privately Held |
| Year founded | 2017 |
| Specialties | machine learningAIartificial intelligenceautonomous systemsautonomous vehiclesself-driving carsdelivery dronescomputer visionsimulationAPI |
| Open jobs on Jobsy | 4 |
| View page |
About the Role
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. Engineers who thrive here are comfortable across multiple layers of the stack, move well from a requirement to a design, and take operational ownership of what they build.
Responsibilities
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.
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.
What You Need to Succeed
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.
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.
Skills
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.
Languages and Frameworks. Python, FastAPI, Flask, PostgreSQL, React, TypeScript
Bonus Points
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
Experience with event-driven systems and message brokers (e.g., Redis, SQS, RabbitMQ)
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.
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