Sr. Platform Engineer

Senior Platform Engineer

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

Our Enterprise Software team powers the digital backbone behind Rivian's Enterprise operations. We build the systems that keep our factories running, parts flowing, and vehicles delivered on time from planning and production to logistics and supplier ecosystems. We're looking for a Senior Platform Engineer who is excited to build at the intersection of enterprise systems and AI. This role will be located in Atlanta, GA and report to our Sr. Manager, Software Engineering.

Responsibilities

• Infrastructure as Code: Implement and maintain IaC principles using Terraform and CloudFormation to provision and manage cloud resources on AWS.
• Cloud Architecture: Design and implement scalable, high-availability cloud architectures on AWS, optimizing for performance and cost-efficiency.
• Kubernetes Orchestration: Deploy, manage, and monitor containerized applications using Kubernetes, ensuring seamless scaling and resilience.
• Automation & Scripting: Develop and maintain scripts and automation tools to streamline deployment, configuration management, and system maintenance.
• Platform Development: Contribute to the evolution of our platform, collaborating with development teams to ensure smooth integration and deployment.
• Monitoring & Observability: Implement and manage monitoring and logging solutions to proactively identify and address issues.
• Troubleshooting & Incident Response: Participate in incident response, troubleshooting, and resolving issues to minimize downtime and impact.
• AI Platform Operations: Support deployment and operation of AI/ML services (model serving, inference APIs, embedding pipelines) with the same reliability, scaling, and rollback rigor applied to traditional applications.
• AI Safety in Delivery: Partner with development and security teams to integrate evaluation, policy, and rollout controls for AI features into deployment pipelines.

Qualifications

• Strong Experience: Proven experience with Infrastructure as Code, Terraform, CloudFormation and AWS cloud infrastructure management.
• Kubernetes Proficiency: Hands-on experience deploying, managing, and troubleshooting Kubernetes clusters.
• Scripting & Coding: Fluency in scripting/coding languages (e.g., Python, Bash, PowerShell) for automation and tooling.
• Terraform Module Development: Ability to create reusable Terraform modules to streamline infrastructure provisioning.
• Platform Mindset: A collaborative approach to working with development teams to build and maintain a robust platform.
• Cloud Security: Understanding of cloud security best practices and the ability to implement secure configurations.
• Problem-Solving: Excellent troubleshooting and problem-solving skills to address complex infrastructure issues.
• AI Workload Familiarity: Exposure to operating AI/ML infrastructure — model serving, GPU or accelerated compute, vector/RAG backends, or managed AI services on AWS (e.g., Bedrock, SageMaker).
• Nice to Have:
• CI/CD Pipelines: Experience building and maintaining Continuous Integration and Continuous Deployment (CI/CD) pipelines.
• MLOps / LLMOps Tooling: Experience with model lifecycle, prompt/version management, or evaluation pipelines (e.g., MLflow, Kubeflow, W&B, or equivalent).
• AI Developer Tooling: Experience enabling org-scale AI-assisted development workflows with SSO, policy, and audit controls.
• Vector & RAG Infrastructure: Hands-on experience with embedding pipelines, vector databases, or retrieval services in production.
• Kubernetes Certifications: Relevant certifications (e.g., Certified Kubernetes Administrator, Certified Kubernetes Application Developer)
• AWS Certifications: Relevant certifications (e.g., AWS Solutions Architect, DevOps Engineer)

Pay Disclosure The salary range for this role is $123,400 - $154,200 for Atlanta 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. The successful candidate may be eligible for annual performance bonus and equity awards. 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 View email address on click.appcast.io.

Candidate Data Privacy and Technology 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.

How We Use AI in Our Hiring Process: To ensure transparency, we want candidates to know that Rivian uses iCIMS Talent Cloud Artificial Intelligence (TCAI) and AI-enabled tools to assist with screening, reviewing, organizing and highlighting profiles and applications that match the key requirements for each role. AI does not make hiring decisions: Qualified candidate applications are reviewed by a member of our team, and all decisions throughout the process are made by humans. We use AI to support efficiency and consistency, not to replace human judgment. We are committed to a fair, thoughtful, and equitable experience for every candidate. Participation in AI profile matching is entirely voluntary. If you prefer that your profile not be used in this process, you can opt out at any time. Opting out means your profile will be excluded from automated matching and will not be surfaced for additional roles through this system. Your current application remains active and will not be affected in any way. Please note that we are currently not accepting applications from third party application services.