Ride and Fleet Services is looking for a Senior/Staff Software Engineer to help build and optimize a robust platform that orchestrates the Zoox robotaxi service. This service includes a series of mission critical APIs that require a high level of resilience as they serve both internal and external users and our fleet of autonomous vehicles.
If you are a natural optimizer and care deeply about building resilient services, you will excel in this role. We need engineers to identify impactful opportunities, execute on them and measure impact. You will need to be able to operate with a high level of detail to root cause errors and latencies, while also maintaining awareness of overall system architecture.
In this role, you will:
- Use existing monitoring, observability and stress-test tools to identify performance improvements and help implement them.
- Iteratively improve monitoring and observability as our traffic grows.
- Work closely with our Site Reliability Engineering team to optimally configure our services.
- Identify key reliability risks and propose solutions to reduce them.
- Work with our Security team to improve our security posture by managing dependencies, developing strong security practices and resolving identified issues.
Qualifications
- Passionate about optimizing systems for maximum efficiency and resilience.
- Extensive experience with design and implementation of backend services.
- Experience with Kotlin or Java, Python, REST APIs and SQL.
- Knowledge of Kubernetes and Docker.
- Deeply cares about monitoring and diagnosing issues of production systems.
Bonus Qualifications
- Experience with Spring Boot based microservice architectures, PostgreSQL, Kafka, Elasticsearch, Kubernetes or Docker.
- Recent experience in programming languages such as Python or Kotlin.
- Experience with event driven architecture and Kafka.
Compensation:
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $203,000 to $293,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate’s relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
Accommodations
If you need an accommodation to participate in the application or interview process please reach out to
[email protected] or your assigned recruiter.
A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
