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Senior Software Engineer
Ping IdentitySenior Software Engineer delivering IAM capabilities across Ping platform. Collaborating with cross-functional teams to enhance security and governance of AI agents.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing, building, and operating production services using Java, JavaScript, Google Cloud, Docker, and Kubernetes, while effectively utilizing AI engineering tools for research and prototyping. Strong ability to communicate technical decisions and collaborate across teams to deliver scalable IAM solutions.
Highest-signal resume keywords
Java DevelopmentAPI Design and ImplementationGoogle Cloud ServicesDocker and KubernetesIdentity and Access Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
JavaJavaScriptAPI DesignRESTful ServicesDistributed SystemsProduction ServicesData ModelsAuthenticationAuthorizationPrototyping
Soft Skills
Clear CommunicationCollaborationKnowledge SharingAdaptabilityProblem Solving
Tools & Technologies
Google CloudDockerKubernetesClaude CodeAI Engineering Tools
Industry Keywords
Identity ManagementAccess ManagementDesign DiscussionsDevelopment Life CycleUser Experience
Tech Stack
Tools & technologiesCloudDistributed SystemsDockerJavaJavaScriptKubernetes
About the role
Key responsibilities & impact- Deliver IAM (Identity & Access Management) capabilities across the Ping platform encompassing the whole stack from infrastructure and databases through to UI experiences
- Contribute to the design and implementation of APIs, models, workflows, orchestration surfaces, and services
- Research and prototype solutions in emerging areas, working with senior technical leaders and product teams to turn validated ideas into product features
- 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
- Communicate clearly, share knowledge, and support other engineers through design discussions, code reviews, and delivery
- Thrive in a rapidly changing environment, continuously adapting to evolving customer needs, technology trends, and new ways of working
Requirements
What you’ll need- 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 production services, distributed systems, or shared platform capabilities
- Experience designing and implementing APIs, RESTful services, integration contracts, and data or domain models
- Experience turning requirements and ambiguous problems into designs, prototypes, and production-ready solutions
- Experience with authentication, authorisation, and identity management
- Ability to communicate technical decisions clearly, collaborate across teams and time zones, and support other engineers through feedback and knowledge sharing
Benefits
Comp & perks- Generous PTO & Holiday Schedule
- Parental Leave
- Progressive Healthcare Options
- Retirement Programs
- Opportunity for Education Reimbursement
- Commuter Offset (Specific locations)