We're looking for a Staff Engineer to join our engineering team and help shape the technical direction of our full-stack vehicle data platform. In this role, you'll work across the entire stack — from high-throughput data ingestion and API design to the web interfaces our customers rely on every day. You'll serve as a technical anchor for cross-functional teams, mentor senior engineers, and drive decisions that affect how we scale, integrate, and deliver vehicle data at a massive scale.

Architect and deliver full-stack features across backend services, APIs, and frontend applications that power our vehicle data platform.

Design and own scalable, high-availability systems for ingesting, processing, and serving large volumes of automotive data.

Define engineering standards, patterns, and best practices adopted across multiple squads.

Partner with Product to translate complex vehicle data requirements into elegant technical solutions.

Lead technical design reviews, provide actionable code and architecture feedback, and raise the bar for engineering quality.

Identify and resolve systemic performance, reliability, and scalability bottlenecks across the stack.

Mentor and develop senior and mid-level engineers through coaching, pairing, and knowledge sharing.

Collaborate with platform and infrastructure teams to evolve our cloud-native architecture.

Contribute to hiring by conducting technical interviews and helping define engineering leveling criteria.

10+ years of software engineering experience, with at least 3 years operating at a Staff or Principal level.

~ Deep expertise in full-stack development — strong backend fundamentals (Python, Go, Node.js, or Java) paired with modern frontend skills (React, TypeScript).

~ Proven track record designing distributed systems, data pipelines, or high-throughput APIs at scale.

~ Experience with cloud platforms (AWS, GCP, or Azure) and containerized, microservices-based architectures.

~ Strong grasp of relational and NoSQL databases; experience with time-series or graph data is a plus.

~ Experience in the automotive, telematics, fleet, or mobility industry is a strong plus.

~ Experience working with AI as part of software development process.

Background in building data marketplace or B2B data-as-a-service platforms.

Contributions to open-source projects or published technical writing.

Health/dental/vision insurance

• Equity/stock options

• Flexible PTO

• Hybrid work

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