Senior Software Engineer, MLOps

About Rivian

Rivianis 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.

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.

• 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.

• 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, Cloud Trail, 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 Cloud Watch or Prometheus.
• 5+ years of experience 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 Git Ops 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.

The salary range for this role is $162,800-$203,500 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…