Staff Backend Engineer
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Job Location:
San Jose, CA - USA
Monthly Salary:
$ 152300 - 194100
Posted on:
30 days ago
Vacancies:
1 Vacancy
Job Summary
At Mercedes-Benz Research & Development North America (MBRDNA) we are committed to delivering world-class automotive technologies that push the boundaries of what is possible. Our teams of highly skilled engineers and designers use cutting-edge software and technology to enhance the driving experience and reduce environmental impact.
We are building OneAI Products on top of the OneAI platform creating exciting opportunities in data and backend engineering that directly power the Mercedes-Benz cars of the future. As connected vehicles generate increasing volumes of high-value data the way this data is processed stored and delivered becomes business-critical. This role focuses on leveraging the latest technologies to design and scale backend services that bring AI-driven products and services seamlessly into the customer experience. As a Staff Backend Engineer you will provide technical leadership and architectural direction ensuring our platforms integrate cutting-edge AI capabilities while remaining secure reliable and globally scalable. You will work across teams and stakeholders to shape next-generation data and backend products that define the future of mobility.
Job Responsibilities:
- Define and own the technical vision for large-scale backend systems ensuring scalability reliability and security across millions of daily requests.
- Set enterprise-level architectural patterns and guidelines influencing backend design across multiple teams.
- Make build-vs-buy and system evolution decisions with a long-term perspective on cost maintainability and innovation.
- Drive design and implementation of high-throughput low-latency data pipelines integrating vehicle and third-party content.
- Own and evolve API ecosystems consumed by both internal platforms and external partners.
- Champion observability reliability and performance enforcing SLAs and leading root-cause analysis for critical issues.
- Act as a trusted technical partner to product security infrastructure and data science organizations.
- Drive consensus on backend strategy and technical priorities across distributed global teams.
- Represent backend engineering in executive and cross-functional forums providing data-driven recommendations.
- Mentor and develop engineers at all levels with a focus on scaling senior talent into staff/principal engineers.
- Champion engineering excellence in coding testing CI/CD and security practices. Foster a culture of innovation inclusivity and continuous improvement.
Minimum Qualifications:
- Bachelors degree in Computer Science Engineering or related technical field.
- 10 years professional backend engineering experience (or 8 with Masters 6 with PhD).
- Proven expertise in Go (Golang) for building production-grade distributed systems.
- Proven record of leading design and delivery of large-scale distributed backend systems in production.
- Expert in:
- Distributed data systems stream processing (Apache Flink Spark Streaming).
- Cloud-native architectures (Azure AWS GCP).
- Containerized application development (Kubernetes Docker).
- API development (Go Java/Spring Boot).
- Advanced SQL/NoSQL data modeling and optimization.
- Infrastructure as Code and modern CI/CD pipelines. Security compliance and governance of production-grade systems.
- Demonstrated ability to:
- Lead multi-team projects and deliver strategic impact.
- Make high-judgment technical tradeoffs balancing innovation scalability and cost.
- Influence at executive and global engineering leadership levels.
- Valid Drivers license.
Preferred Qualifications:
- Experience with frontend or full-stack development to support end-to-end feature delivery.
- Background in automotive IoT or real-time data domains.
- Contributions to open-source projects or published technical work.
The successful candidates starting pay will be determined based on a wide range of factors including but not limited to job-related education skills and experience geographic location and market conditions. The current salary range for this position is as follows and may be modified in the future: $152300 - $194100.
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Why should you apply
Here at MBRDNA you create digital ecosystems around cars you design a language between humans and machines you make a car even more intelligent - you make the new reality for cars. MBRDNA was honored as one of the Best Places to Work by BuiltIn in January 2024 a testament to our commitment to creating an exceptional work environment. At each of our offices we foster a culture of collaboration and continuous learning ensuring every team member can thrive and innovate.
Benefits for Full-Time* Employees Include:
Medical dental and vision insurance for employees and their families
401(k) with employer match
Up to 18 company-paid holidays
Paid time off (flexible time off for salaried employees) sick time and parental leave
Tuition assistance program
Wellness/Fitness reimbursement programs
* Internships & Contractors excluded from Full-Time Employee benefits
MBRDNA is an equal opportunity employer (EOE) and strongly supports diversity in the workforce. MBRDNA only accepts resumes from approved agencies who have a valid Agency Agreement on file. Please do not forward resumes to our applicant tracking system MBRDNA employees or send to any MBRDNA location. MBRDNA is not responsible for any fees or claims related to receipt of unsolicited resumes.
Mercedes-Benz Research and Development North America Inc.
PRIVACY NOTICE FOR CALIFORNIA RESIDENTS
Required Experience:
Staff IC
Key Skills
- Computer Science
- Docker
- Kubernetes
- Python
- VMware
- C/C++
- Go
- System Architecture
- gRPC
- OS Kernels
- Perl
- Distributed Systems
