Staff Software Engineer, Data Ops

Location: 630 - 660 Hansen (Palo Alto California)

Category: Autonomous Driving

Employment Type: FULL_TIME

Tags: Full Time, Rivian Automotive

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary The Autonomy org at Rivian is seeking a Staff Software Engineer, Data Ops to join the Data team who can provide expertise in cloud and data engineering and collaborate with technical and business users. This candidate needs to have a very good understanding of the AWS Cloud Data Platform and Data Ops processes that helps to build, test, and release complex mission critical infrastructure services for Rivian's ADAS team on AWS cloud. In this role you will work with the ADAS Cloud, Data, Perception, SIL/HIL, Vehicle integrations & Vehicle Cloud teams, Product Management, and other Technology Partners to leverage best practices and reference architectures highlighting AWS Cloud Platform and Data/Dev/ML Ops practices. Responsibilities Lead, build, test and release complex mission-critical infrastructure services for Rivian's ADAS team on cloud and/or on-prem. Setup fault tolerant multi-region environments for data operations and data applications. Own CI/CD pipeline for apps and data projects. Define on-call strategy and participate in on-call rotations. Make developers' lives smooth via automated workflows. Build and optimize highly reliable, scalable, and distributed infra using microservice architecture. Collaborate with the security & privacy team to perform audits and mitigate any findings. Collaborate with cross-functional ADAS teams for development and integrations. Cost optimization in AWS across multiple accounts and services. Qualifications 5+ years of software engineering or in ML/Dev/Data Ops role. 5+ years of experience authoring, scaling, and managing production infrastructure. 5+ years of experience working with Kubernetes, AWS CI/CD tools, AWS networking stack, S3, Lambda, EKS, ECS, RDS, System Manager, Secrets Manager, CloudTrail, etc. 5+ years Infra as Code and configuration management (Terraform, AWS cloud formation, AWS CDK). 5+ years of experience with monitoring applications in cloud using Datadog, AWS CloudWatch or Prometheus. 5+ years of eperience debugging production systems and performing RCA on incidents. 3+ years of being hands-on with Python, Go or Java and Gitlab for automation. 2+ years of CI/CD and/or GitOps patterns (using Gitlab, Jenkins, Allure etc.) 2+ years of microservice-oriented architectures (using Kubernetes (EKS), AWS ECS, or Docker swarm). 2+ years of knowledge of Agile Development of Accessible Software Tools. Linux internals, networking, and distributed computing are a plus. AWS or Cloud Native certification is a plus. Pay Disclosure The salary range for this role is $206,500-$258,100 for San Francisco Bay Area based applicants. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, geographic location, shift, and organizational needs. We offer a comprehensive package of benefits for full-time and part-time employees, their spouse or domestic partner, and children up to age 26, including but not limited to paid vacation, paid sick leave, and a competitive portfolio of insurance benefits including life, medical, dental, vision, short-term disability insurance, and long-term disability insurance to eligible employees. You may also have the opportunity to participate in Rivian’s 401(k) Plan and Employee Stock Purchase Program if you meet certain eligibility requirements. Full-time employee coverage is effective on their first day of employment. Part-time employee coverage is effective the first of the month following 90 days of employment. More information about benefits is available at rivianbenefits.com. Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at [email protected]. Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services.

Responsibilities

Lead, build, test and release complex mission-critical infrastructure services for Rivian's ADAS team on cloud and/or on-prem. Setup fault tolerant multi-region environments for data operations and data applications. Own CI/CD pipeline for apps and data projects. Define on-call strategy and participate in on-call rotations. Make developers' lives smooth via automated workflows. Build and optimize highly reliable, scalable, and distributed infra using microservice architecture. Collaborate with the security & privacy team to perform audits and mitigate any findings. Collaborate with cross-functional ADAS teams for development and integrations. Cost optimization in AWS across multiple accounts and services.

Qualifications

5+ years of software engineering or in ML/Dev/Data Ops role. 5+ years of experience authoring, scaling, and managing production infrastructure. 5+ years of experience working with Kubernetes, AWS CI/CD tools, AWS networking stack, S3, Lambda, EKS, ECS, RDS, System Manager, Secrets Manager, CloudTrail, etc. 5+ years Infra as Code and configuration management (Terraform, AWS cloud formation, AWS CDK). 5+ years of experience with monitoring applications in cloud using Datadog, AWS CloudWatch or Prometheus. 5+ years of eperience debugging production systems and performing RCA on incidents. 3+ years of being hands-on with Python, Go or Java and Gitlab for automation. 2+ years of CI/CD and/or GitOps patterns (using Gitlab, Jenkins, Allure etc.) 2+ years of microservice-oriented architectures (using Kubernetes (EKS), AWS ECS, or Docker swarm). 2+ years of knowledge of Agile Development of Accessible Software Tools. Linux internals, networking, and distributed computing are a plus. AWS or Cloud Native certification is a plus.