Sr. ML/Dev Ops Engineer, Self-Driving

Key Skills

Java Programming, Python Programming, Ruby on Rails, Mechanical, Java Programming, Unix Operating system, logo, Offshore,

Job Description

The Autonomous org at Rivian is seeking a Sr Dev/ML Ops Engineer to join the cloud team who can provide expertise in cloud engineering and collaborating with both technical and business users. This candidate needs to have a very good understanding of the AWS Cloud Data Platform and Dev 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, 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 Dev/ML Ops practices.

Responsibilities:

• Lead, build, test, and release complex mission critical infrastructure services for Rivian's ADAS team on AWS cloud
• Setup fault tolerant multi region environments for apps and data projects
• 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 micro service architecture
• Collaborate with security team to perform audits and mitigate any findings
• Collaborate with cross-functional teams for development and integrations
• Cost optimization in AWS across multiple accounts and services

Basic Qualifications & Skills:

• 5+ years of software engineering or in operations
• Experience authoring, scaling, and managing production infrastructure
• Experience AWS CI/CD tools, AWS networking stack, S3, Lambda, EKS, ECS, RDS, System Manager, Secrets Manager, CloudTrail etc .
• Infrastructure as Code and configuration management (Terraform, AWS cloud formation, AWS CDK)
• Experience with monitoring applications in cloud using Datadog, AWS CloudWatch or Prometheus.
• Experience debugging production systems and performing RCA on incidents.
• Knowledge of Agile Development of Accessible Software Tools
• Worked with Python, Go or Java and git for automation
• Knowledge of CI/CD and/or GitOps patterns (using Gitlab, Jenkins, Allure etc.)
• Microservice oriented architectures (using Kubernetes, AWS ECS or Docker swarm)
• Solid understanding of OSI model and networking concepts such as DNS, TCP/IP, DHCP, load balancing, routing ..etc.
• Linux internals, networking, and distributed computing is a plus
• AWS or Cloud Native certification is a plus
• Experience building production infrastructure from scratch is a plus
• Machine learning ops knowledge is a plus