Staff Software Engineer - Real-Time Web & Data Systems

Aurora

San Francisco (CA)

On-site

USD 170,000 - 280,000

Full time

14 days+

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Benefits offered by this job

Annual bonus

Equity compensation

Benefits

Job summary

Aurora is seeking a Staff Software Engineer to join the Aurora Services team in San Francisco. You will architect scalable full-stack web services and guide multiple teams to deliver real-time data pipelines for fleet optimization and autonomy.

You will mentor engineers, shape technical roadmaps, and partner with autonomy, cloud, and operations leaders to turn data into actionable insights while driving high availability and low latency systems.

Qualifications

8+ years of industry experience in software development.
Deep expertise in front-end and back-end development, scalable web services, and APIs.
Experience leading technical strategy and mentoring senior engineers.
Strong communication and collaboration skills for cross-functional teams.
Proficiency with cloud infrastructure and DevOps practices (AWS, Kubernetes, CI/CD, monitoring).

Responsibilities

Architect and drive strategic initiatives to build scalable full-stack web services that power real-time and offline data flows essential for fleet optimization, autonomy improvement, and commercial operations.
Provide technical leadership and influence best practices across multiple teams, guiding the design, development, and deployment of complex systems at the intersection of web services and real-world autonomy.
Develop and deploy robust, well-engineered solutions, leveraging modern frontend frameworks and building highly available, low-latency backend services, APIs, and data pipelines.
Mentor and grow senior engineers, raising the technical bar for the entire organization through code reviews, design discussions, and promoting a culture of engineering excellence.
Partner with leaders across autonomy, cloud infrastructure, and operations to define technical roadmaps, align on priorities, and drive complex projects from inception to completion.
Translate complex operational data and autonomy metrics into actionable insights through scalable operator-facing tools and powerful APIs, directly improving our efficiency and product.