Software Engineer, MTS, Enterprise Security, Identity & Access Management

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Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

The Experience

The Salesforce Enterprise Security Engineering team builds and operates highly scalable, fault-tolerant, distributed systems that deliver cloud-scale Identity and Access Management (IAM) services across our enterprise network, public cloud infrastructure, and internal data centers. We provide the core building blocks for identity lifecycle, governance, authentication, authorization, and Privileged Access Management (PAM) that protect customer trust and empower every Salesforce engineer to operate securely, regardless of environment.

We are hiring (2) Software Engineers (MTS) across two teams within Enterprise Security IAM, each with a distinct focus:

• IAM Platform: Design and build the foundational IAM platform — spanning identity lifecycle (human and non-human), access requests, entitlement and role management, access certifications, PAM capabilities, and policy-driven access decisions at enterprise scale. You will advance Salesforce's Zero Trust architecture and secure the emerging agentic enterprise, working at the intersection of AI and security engineering.
• Full-Stack IAM Engineering: Design and build end-to-end IAM capabilities — from backend services and Application Programming Interfaces (APIs) to the user-facing experiences that power access requests, entitlement management, and real-time, dynamic access decisions at scale. You will also play a key role in securing the emerging agentic enterprise by designing controls for AI agents and autonomous workloads.

Both roles are hands-on, impact-driven, and sit at the forefront of how Salesforce secures its enterprise — with AI as a core part of how we build and operate.

What You'll Actually Be Doing

• Design, build, and operate scalable IAM services and APIs spanning identity lifecycle, access requests, entitlement and role management, and access certifications.

• Build Privileged Access Management (PAM) capabilities — credential vaulting and rotation, session control, secrets management, and just-in-time (JIT) access flows that grant elevated, time-bound entitlements and revoke them automatically.

• Model and secure non-human identities (NHI) — service accounts, agents, workloads, and machine credentials — including issuance, rotation, and lifecycle governance.

• Develop full-stack features, backend services, and modern web front-ends that deliver intuitive self-service and administrative experiences for IAM.

• Build and manage containerized workloads with Kubernetes, Docker, and infrastructure-as-code (Terraform); operate services in a full DevOps model — monitor, troubleshoot, and continuously improve.

• Integrate across identity sources, directories, and downstream applications using System for Cross-domain Identity Management (SCIM), REST, and event-driven patterns.

• Partner with governance and compliance teams to embed Separation of Duties (SoD), least-privilege, and audit controls (SOX, NIST, SOC 2) into the platform.

• Write clean, maintainable, secure code; participate in design and code reviews; and champion secure Software Development Life Cycle (SDLC) practices.

• Collaborate with cross-functional teams across security, infrastructure, product, and engineering to ensure platform integrity and trustworthiness.

• Create and maintain technical documentation, runbooks, and enablement materials.

• Design significant features, mentor junior engineers, and drive technical direction and continuous improvement across the platform.

• Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow — pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.

• Design and orchestrate complex systems where AI agents integra