Software Engineer, DataOps, Autonomy

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

As a member of Rivian's ADAS team, you'll be a key Software Engineer responsible for building, testing, and releasing mission-critical infrastructure services. Your work will directly support our autonomous driving initiatives by ensuring the reliability, scalability, and security of our cloud-based and on-premise systems. This role is crucial for automating processes and maintaining our CI/CD pipelines to enable the rapid development of safety-critical self-driving features.

Responsibilities

• Work on building , testing and releasing 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.
• Develop and maintain CI/CD pipeline for apps and data projects.
• Participate in an on-call strategy and on-call rotations.
• Build and optimize highly reliable, scalable, and distributed infra using microservice architecture.
• Collaborate with cross-functional ADAS teams for development and integrations.
• Work on cost optimization in AWS across multiple accounts and services.
• Automate and streamline company processes through scripting and coding.

Qualifications

• 3+ Yrs. of software engineering or in DevOps role.
• 3+ Yrs. Experience authoring, scaling, and managing production infrastructure.
• Extensive experience with Kubernetes, CI/CD tools, AWS networking stack, AWS compute stack, S3, RDS, EFS, Secrets Manager, CloudTrail, etc.
• Hands-on proficiency with Python, Go or Java and GitLab for automation.
• Extensive experience with Infra as Code and configuration management (preferably Terraform).
• Experience monitoring applications in cloud using Datadog, AWS CloudWatch or Prometheus.
• Experience debugging production systems.
• Experience with CI/CD and/or GitOps patterns (using Gitlab, GitHub Actions, ArgoCD).
• Experience with microservice architectures (using Kubernetes (EKS), AWS ECS).
• 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.