Software Engineer, Cloud & Software FinOps
Listed on 2026-09-07
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Software Development
Backend Developer, Cloud Engineer - Software, Software Engineer, DevOps
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.
Role SummaryRivian is looking for a Software Engineer to help build the internal products and platforms that make cloud and software spend more visible, efficient, and accountable. On the Cloud & Software Fin Ops team, you will work with experienced engineers and business partners to design, build, test, and operate software that manages Rivian’s application portfolio, optimizes cloud costs, and supports future Fin Ops capabilities.
This is a hands‑on role with opportunities across backend services, data pipelines, cloud automation, and full‑stack internal products. You will turn real business and engineering problems into practical tools used by teams across Rivian. The role is a strong fit for someone who enjoys learning quickly, writing maintainable software, understanding how technology decisions affect cost and value, and seeing their work create measurable business impact.
This role will be located in Atlanta, GA and report to our Director, Cloud & Software Fin Ops.
- Build and enhance internal software for application portfolio management, cloud cost optimization, and software efficiency.
- Develop backend services, APIs, integrations, and data pipelines that connect cloud cost, usage, resource, application, ownership, and portfolio data.
- Create dashboards and workflows that help engineers, technology leaders, Finance, Procurement, and application owners make informed decisions.
- Contribute to system design, database design, and infrastructure decisions, balancing scalability, reliability, security, usability, and cost.
- Use approved AI coding agents for implementation, testing, refactoring, and documentation; read, review, test, and debug the resulting code.
- Build secure, observable services using CI/CD, infrastructure‑as‑code, logging, metrics, and tracing.
- Partner with Cloud Engineering, Finance, Procurement, Security, application teams, and other stakeholders to turn business problems into practical solutions.
- Troubleshoot issues, document technical decisions and operating procedures, and continuously improve the team’s products and processes.
- A bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, or a related technical field.
- Experience building software through coursework, internships, co‑ops, research, personal projects, or prior employment; no specific number of years of professional experience is required.
- Experience with Python and/or Type Script and the ability to read, review, test, and discuss code. Strong fundamentals in another modern programming language will also be considered.
- Foundational knowledge of system design, database design, cloud infrastructure, and the tradeoffs involved in building reliable services.
- Experience writing SQL and working with structured data, relational databases, data models, or data pipelines.
- An understanding of HTTP, REST APIs, data exchange formats, and service‑to‑service integrations.
- Familiarity with cloud computing concepts and at least one major cloud platform.
- Strong analytical, problem‑solving, communication, and collaboration skills, along with a willingness to seek guidance and take increasing ownership.
The salary range for this role is $97,700 - $122,100 for Georgia 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…
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