Sr. Software Engineering, Enterprise Iam

Salesforce Salesforce · Enterprise · Bellevue, New York - New York, California - San Francisco, WA

Salesforce Enterprise Security Engineering is seeking an experienced software engineer to build and manage a self-service application administration platform (SSAAP). This platform will enable enterprise customers to self-service onboard applications to Identity and Access Management (IAM) services, integrating AI agents into human workflows and leveraging AI tools for code development. The role involves full-stack development, secure coding practices, and collaboration across teams to ensure secure and efficient IAM onboarding.

What you'd actually do

  1. 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.
  2. Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
  3. 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.
  4. Critically evaluate code (human or AI-generated) for correctness, quality, security, and performance.
  5. Own the full development lifecycle for IAM solutions, including design, implementation, testing, deployment, maintenance, and continuous improvement of user experience.

Skills

Required

  • 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 specia

What the JD emphasized

  • AI agents integrate seamlessly into human workflows
  • AI to operate accurately and reliably
  • AI-driven or agentic workflows
  • AI-first approach to engineering

Other signals

  • AI agents integrate seamlessly into human workflows
  • AI to operate accurately and reliably
  • AI-driven or agentic workflows
  • AI-first approach to engineering