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Software Engineer, IAM

Job in Sunnyvale, Santa Clara County, California, 94087, USA
Listing for: CoreWeave
Full Time position
Listed on 2026-10-05
Job specializations:
  • Software Development
    Software Architect, Cloud Engineer - Software, DevOps
Salary/Wage Range or Industry Benchmark: 188000 - 275000 USD Yearly USD 188000.00 275000.00 YEAR
Job Description & How to Apply Below
Position: Staff Software Engineer, IAM

Core Weave is The Essential Cloud for AI™. Built for pioneers by pioneers, Core Weave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, Core Weave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, Core Weave became a publicly traded company (Nasdaq: CRWV) in March 2025.

Learn more at
What you’ll do
As a Staff Software Engineer on the Identity & Access Management (IAM) team, you will be a primary architect of Core Weave’s IAM strategy as we rapidly expand the platform. You will leverage your deep expertise in identity systems to design, extend, and harden a platform that secures our high-performance cloud infrastructure. This is a high-impact leadership role where you will balance rapid execution with the long-term technical vision necessary to meet the demands of our global enterprise customers.
About

The Role

  • Technical Strategy & Vision:
    Partner with Product and Engineering Leadership to translate complex requirements into a multi-year technical roadmap that balances immediate business needs with long-term architectural integrity
  • System Architecture:
    Lead the design and implementation of high-throughput, low-latency distributed systems for authentication and authorization across all Core Weave services
  • Platform Evolution:
    Architect customer-facing experiences for identity lifecycle management, IdP integration (SAML/OIDC), and granular permissioning models
  • Engineering Excellence:
    Champion a security-first mindset across the organization, establishing rigorous standards for code quality, design reviews, and threat modeling
  • Operational Leadership:
    Elevate the team’s operational maturity by defining SLOs, enhancing deep-stack observability, and driving automation to eliminate systemic toil
  • Technical Mentorship:
    Act as a force multiplier by mentoring Senior engineers and fostering a culture of continuous learning and high-performance engineering
  • Cross-Functional Influence:
    Drive alignment on critical security initiatives across the broader engineering organization, articulating complex technical trade-offs to stakeholders
Who you are
  • 8+ Years of Experience building and operating large-scale distributed systems in a production environment using one or more of Go, Type Script, or React
  • 5+ Years of IAM Domain Expertise:
    Proven track record of developing identity products and a deep mastery of standards including OIDC, OAuth
    2.0, SAML, and JWT
  • Technical Leadership:
    Demonstrated experience leading large, cross-functional projects from inception to planet-scale deployment with measurable business impact
  • Cloud-Native Mastery:
    Deep understanding of Kubernetes, microservices architecture at scale, and advanced CI/CD patterns
  • Enterprise Security Acumen:
    Solid knowledge of the security, compliance (SOC2, HIPAA, etc.), and governance needs of sophisticated enterprise customers
  • Strategic Communication:
    Superb ability to synthesize ambiguous requirements into clear technical designs and communicate trade-offs to both executive and technical audiences
  • Analytical Problem Solving:
    Expert-level ability to debug complex, intermittent issues within distributed environments
Preferred
  • Architectural Transformation:
    Experience leading the decomposition of monolithic architectures into high-performance microservices
  • AI-Augmented Development:
    Familiarity with leveraging AI agents (e.g., Claude, Cursor) to accelerate the software development lifecycle
  • Emerging Tech Knowledge:
    Familiarity with AI/ML workloads, GPU-based infrastructure, and the unique security challenges of MLOps at scale
  • Policy-as-Code:
    Exper…
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