At Coinbase, our mission is to increase economic freedom in the world.

We're seeking a Staff Security Engineer, IAM to lead the architectural vision and security engineering execution for Coinbase’s Identity and Access Management (IAM) and workforce security platforms.

As a senior technical leader within the IAM program, you will partner with Engineering, IT, Platform, and business teams to architect and deliver identity solutions that balance zero-trust security with workforce enablement, reduce insider risk, and satisfy global regulatory requirements.

Key Responsibilities:

• Lead the architectural vision and security engineering execution for Coinbase’s IAM and workforce security platforms
• Evaluate, design, and implement “build, buy, or hybrid” strategies for workforce Identity Governance and Administration (IGA)
• Write high-quality code to build scalable automation, custom integrations, and self-service guardrails
• Conduct comprehensive threat modeling and security architecture reviews for foundational identity systems and critical SaaS integrations
• Partner with Engineering, IT, HR, AI/ML, and Product teams to align security initiatives with business goals

Requirements:

• 7+ years of proven experience in software engineering, security engineering, or systems architecture
• Proficient in at least one programming language (e.g., Python, Go)
• Demonstrated track record of successfully implementing complex hybrid IAM infrastructures
• Deep operational and architectural understanding of Identity Governance and Administration (IGA) processes
• Extensive expertise in modern identity protocols (SAML, OAuth2, OIDC, SCIM), cloud IAM (AWS and GCP), and dynamic access control frameworks (RBAC, ABAC, ReBAC)
• Strong background in applied risk management, automated threat modeling, and zero-trust architecture principles

Nice to Have:

• Experience operating in a hyper-growth tech, FinTech, or crypto environment
• Experience governing non-FTE workforce populations at scale
• Hands-on experience with Policy-as-Code paradigms and integrating machine learning to automate policy generation

Pay Transparency Notice: The target annual base salary for this position can range from $218,025 to $256,500 USD.

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This is a high-agency position for an engineer who can navigate ambiguity and take decisive ownership of the technical direction in collaboration with other engineers, teams, and stakeholders.

Responsibilities:

• Lead large cross-functional projects end to end, from concept, design, and implementation through to launch and driving adoption all while ensuring the highest quality and performance.

• Have a strong product sense and be able to run customer interviews, translating data and user feedback into features that inform the team’s roadmap.

• Mentor engineers and leaders, share industry knowledge, and contribute to the technical growth of the team.

• Disambiguate complex problems, align stakeholders with different priorities, and aggressively prioritize to execute effectively.

• Be able to make system level improvements, enhancements and implement complex code modifications.

• Collaborate closely with engineering teams and stakeholders to integrate Business Manager capabilities into broader infrastructure and use cases across Reddit.

Qualifications:

• 7+ years software engineering experience building production services at scale.

• Ads domain experience.

• Excellent communication skills to collaborate with a service-oriented team and company.

• Experience coordinating large-scale, cross-functional efforts that span different teams, and driving alignment between diverse stakeholders.

• Experience in solving complex system scaling and latency performance problems.

• Strong proficiency in one or more: Go, Python; plus experience with service frameworks (gRPC/Thrift) and API design.

• Experience with distributed systems, data modeling, and event-driven architectures (e.g., Kafka/PubSub).

Preferred:

• Previous experience as a Tech Lead or similar function.

• Experience building solutions for advertising agencies or other global enterprise customers.

Our Stack:

• Go, Python; gRPC/Thrift; Kafka; Postgres, BigQuery, Redis, Cassandra, SpiceDB (ReBAC); Kubernetes; AWS/GCP

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