Sr. Software Engineering, Enterprise IAM

Salesforce•San Francisco, CA

11d•$178,900 - $246,000•Hybrid

About The Position

The Salesforce Enterprise Security Engineering team is seeking an experienced software engineer to help design, build, and manage a self-service application administration platform (SSAAP). SSAAP is a highly scalable, fault-tolerant distributed system focused on enabling enterprise customers to self-service onboard their applications to Identity and Access Management (IAM) services in compliance with Enterprise Security standards. We are building identity and access services that unify our IT network, cloud platforms, and internal infrastructure — ensuring every Salesforce engineer can work securely, no matter the environment. The team is looking for a full stack software development engineer with a track record of building modern services and applications following Software Development Life Cycle (SDLC) best practices and secure development principles. This role sits within the broader Enterprise Security Technology org, a team that has been in existence for over 10 years and is made up of roughly 30 individuals spanning engineering, product management, business analysis, and operations — all working together to support enterprise customers in onboarding their users and applications to Enterprise Security. This is a high-impact, high-visibility role with a long runway — you'll be building and expanding a platform that directly accelerates mergers and acquisitions (M&A) integration and drives cost savings across the enterprise. You'll work with engineering leads, architects, and cross-functional stakeholders to shape the future of IAM onboarding at Salesforce.

Requirements

A demonstrated, genuine AI-first approach to engineering. Using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.
Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows.
Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
6+ years of full stack development experience with Go, Java, and Python, including strong proficiency in modern application development, API design, cloud services (databases, storage, messaging), containerization, and experience building AI/agentic capabilities into user experience and backend systems.
3+ years of experience with modern web-based IAM technologies, such as authentication (Single Sign-On (SSO)/Okta), authorization, identity governance and access management (SailPoint), and Privileged Access Management (PAM).
2+ years of front-end development experience, including frameworks and libraries such as React, Chakra UI, Redux Toolkit, and Axios.
Strong understanding and working experience with Amazon Web Services (AWS) cloud infrastructure and services, including containers, Kubernetes, and microservices architecture.
High proficiency with JSON, XML, and RESTful development practices, including designing APIs that support AI-driven or agentic workflows.
Hands-on experience with secure coding, defensive programming, and modern continuous integration and delivery (CI/CD) workflows using Git and Jenkins, including shell scripting for pipeline jobs.
Strong analytical, problem-solving, communication, and collaboration skills, with excellent attention to detail.
Proactive, positive attitude with demonstrated ability to work in agile/scrum environments and deliver reliable engineering solutions.
A related technical degree required.

Nice To Haves

Experience with IAM, cybersecurity, or compliance frameworks such as National Institute of Standards and Technology (NIST), ISO, or SOC 2.
Familiarity with front-end frameworks such as React, Chakra UI, Redux Toolkit, and Axios, especially where improving user experience through AI-assisted interactions is beneficial.

Responsibilities

Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
Critically evaluate code (human or AI-generated) for correctness, quality, security, and performance.
Own the full development lifecycle for IAM solutions, including design, implementation, testing, deployment, maintenance, and continuous improvement of user experience.
Collaborate across core product teams, IAM service teams, and cross-functional partners (business analysts, UX designers, QA, product management, operations, governance) to refine requirements, ensure compliance, and deliver intuitive, high-quality solutions.
Develop and integrate features — including backend, frontend, and agentic components where applicable — while providing technical guidance and troubleshooting across platforms and technologies.
Review, triage, and prioritize incoming requests, assessing and implementing enhancements based on user needs, release timelines, and business objectives.
Create technical documentation and enablement materials to support developers, customers, and internal teams.
Mentor and support peers and junior engineers through knowledge sharing, coaching, and positive influence, particularly around modern development and user experience best practices.
Stay current with emerging technologies — including relevant AI and agentic advancements — and drive innovation within the IAM domain and overall user experience.