Senior Staff Software Engineer – Identity for AI
This role sits within Ping’s Platform Engineering team, which delivers capabilities and design work that span the Ping platform. As a Senior Staff Software Engineer, you’ll help define and build Ping’s Identity for AI offerings to identify, secure, and govern AI agents.
You’ll take emerging ideas from research and experimentation through design and delivery, working across products, services, APIs, models, and user experiences. The role requires broad software development experience, strong systems thinking, creative problem-solving, and the ability to work effectively in a fast-paced, collaborative, cross-functional, and global environment.
You’ll also use modern AI tooling as a practical part of the engineering workflow to accelerate discovery and delivery while applying sound engineering judgment. This is an opportunity to help define how the software industry approaches identity and security for AI agents.
You Will
Deliver IAM (Identity & Access Management) capabilities across the Ping platform encompassing the whole stack from infrastructure and databases through to UI experiences
Define and evolve common APIs, models, workflows, orchestration surfaces, and services that enable platform-level capabilities
Research, prototype, and deliver features in emerging areas such as Identity for AI and AI-first platform experiences
Work closely with product management, UX, and engineering teams across Ping to refine features and designs to deliver elegant, usable, and scalable outcomes for customers
Participate in development life cycle activities such as design, coding, testing, rollout, and production support
Use modern AI tooling such as Claude Code as part of day-to-day engineering work to accelerate research, code understanding, prototyping, implementation, and documentation while maintaining strong engineering judgment
Show strong communication skills, provide effective mentorship, and set a strong example for other engineers
Thrive in a rapidly changing environment, continuously adapting to evolving customer needs, technology trends, and new ways of working
You Have
Ability to design, build, test, and operate production services using technologies such as Java, JavaScript, Google Cloud, Docker, and Kubernetes, together with the desire to broaden your expertise
Ability to use AI engineering tools to accelerate research, code understanding, prototyping, implementation, and documentation while applying sound engineering judgment
Experience building distributed systems, platform capabilities, internal developer platforms, or shared product infrastructure
Strong experience designing APIs, RESTful services, service boundaries, integration contracts, and data or domain models
Experience turning ambiguous ideas into technical direction, prototypes, and production-ready solutions
Experience with authentication, authorisation, and identity management
Ability to communicate technical direction clearly, mentor other engineers, and coordinate work across teams and time zones
Bonus Points If You Have
Experience with OAuth 2.0, OpenID Connect, token exchange, policy systems, delegated administration, or identity data modelling
Experience with AI agent identity and non-human identity
Familiarity with MCP, agent skills, and other agent integration concepts
Experience working across multiple codebases, teams, or product areas to ship cohesive outcomes
Experience with distributed systems at scale
Experience working as part of an international team
Experience balancing short-term product delivery with longer-term platform architecture
Experience writing technical designs, PoCs, and decision-support material for leadership and partner teams
Compensation Range: $151,277-$185,000
In accordance with Colorado’s Equal Pay for Equal Work Act (SB 19-085) the approximate compensation range for this role in Colorado is listed above. Final compensation for this role will be determined by various factors, such as knowledge, skills, and abilities.