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Senior Staff Software Engineer - Identity for AI Platform Engineering

Full-time

Ping Identity

Role Description

This role sits in our Platform Engineering team, which delivers features and design work that spans the Ping platform. The team is focused on building Ping's identity for AI offerings to secure and govern AI agents.

We are looking for a Senior Staff Software Engineer who can take ideas from concept to reality and work well in a fast-paced, collaborative, cross-functional, and global team. The ideal applicant will bring broad software development experience, strong systems thinking, creative problem-solving skills, and a passion for research, innovation, and experimentation.

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.

Qualifications

  • 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.

Requirements

  • 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.

Benefits

  • Generous PTO & Holiday Schedule.
  • Parental Leave.
  • Progressive Healthcare Options.
  • Retirement Programs.
  • Opportunity for Education Reimbursement.
  • Commuter Offset (Specific locations).
Vacancy posted a month ago
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