Senior Software Engineering; Enterprise IAM

Requirements

• 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)
• 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
• 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 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, Git Hub 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
• A related technical degree required
• (Desirable) 2+ years of front‑end development experience, including frameworks and libraries such as React, Chakra UI, Redux Toolkit, and Axios

• 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
• 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…