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Staff Software Engineer

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Onsite

Staff Software Engineer

Rivian

Staff Software Engineer

Skills

Google Cloud PlatformNextDockerReactTypescriptPythonGolangTesting & QAPostgreSQLMySQLDatadogGrafanaSplunkAIAWSKubernetesSupply ChainAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Atlanta, GA, USA

Work mode:

Onsite

Published on:

22 September 2026

What they need


Our Enterprise Software team powers the digital backbone behind Rivian’s supply chain, manufacturing, and 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 Staff Software Engineer who is excited to build at the intersection of enterprise systems and AI.

  • Design and build scalable, cloud-native enterprise applications for supply chain and manufacturing operations.

  • Lead complex technical initiatives from initial concept through to production.

  • Build, test, and release mission-critical applications for both internal and external users.

  • Design workflows, automation, and decision-support systems with an "AI-first" mindset.

  • Partner with cross-functional teams, including Product, Operations, UX/UI design, and QA, to define features and roadmaps.

  • Maintain high standards for architecture, testing, security, and performance through code and architecture reviews.

  • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

  • 5+ years of professional software engineering experience.

  • Proficiency in modern languages such as Python, Go, or TypeScript.

  • Experience with modern web frameworks like React, Angular, or Next.js.

  • Experience working with relational databases like Postgres, MYSQL and NoSQL solutions for managing complex data at scale.

  • Experience with AWS, Azure, or GCP alongside Docker and Kubernetes.

  • Strong understanding of distributed architecture, event-driven systems, streaming platforms, and data pipelines.

  • Skilled in using AI-powered coding tools (e.g., Copilot, Cursor, Claude Code).

  • Experience with observability stacks like Grafana (LGTM), DataDog, Splunk.

  • Proven ability to build mission-critical enterprise systems and communicate complex technical documentation across teams.

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