Staff Software Engineer

About Ping Identity At Ping Identity, we believe in making digital experiences both secure and seamless for all users, without compromise. We call this digital freedom. And it’s not just something we provide our customers. It’s something that inspires our company. People don’t come here to join a culture that’s built on digital freedom. They come to cultivate it.

Our intelligent, cloud identity platform lets people shop, work, bank, and interact wherever and however they want. Without friction. Without fear.

While protecting digital identities is at the core of our technology, protecting individual identities is at the core of our culture. We champion every identity. One of our core values, Respect Individuality, reminds us to celebrate differences so you are empowered to bring your authentic self to work.

We’re headquartered in Denver, Colorado and we have offices and employees around the globe. We serve the largest, most demanding enterprises worldwide, including more than half of the Fortune 100. At Ping Identity, we’re changing the way people and businesses think about cybersecurity, digital experiences, and identity and access management.

Staff Software Engineer, Backend You’ll be a staff-level backend engineer who builds and operates the services that power our core product experiences. This is a hands-on role focused on designing reliable APIs and event-driven systems, writing and reviewing production code, and improving performance and scalability over time. You’ll work closely with Product, Data, Infrastructure/SRE, and Security to deliver well-scoped solutions that are safe to run in production. You’ll also help strengthen backend engineering practices through design reviews, mentoring, and thoughtful technical guidance. You’ll report to an engineering manager and collaborate with peers to align backend work with broader platform goals.

You Will

• Design, build, and maintain backend services and APIs that are secure, scalable, and easy to evolve
• Deliver complex projects end-to-end (technical design, implementation, testing, rollout, and iteration based on real production feedback)
• Build event-driven and asynchronous workflows using Kafka and queue-based systems to improve resilience and throughput
• Own service reliability: monitoring, logging, alerting, incident response, and post-incident improvements
• Partner with Infrastructure/SRE to build and operate systems on AWS (compute, networking, storage, and deployment patterns)
• Define and improve data access patterns across SQL and NoSQL databases, including migrations and performance tuning
• Implement caching strategies (e.g., Redis/Memcached) to reduce latency, protect dependencies, and manage load
• Raise code quality through reviews, documentation, and setting practical standards for testing and operational readiness

You Have

• 10+ years of backend engineering (Java & Springboot) experience building and operating production systems
• Strong fundamentals in system design, API design, data modeling, and writing maintainable, well-tested code
• Experience working in AWS and understanding common infrastructure components (e.g., VPC/networking concepts, compute, storage, managed services)
• Strong experience with SQL databases (e.g., Postgres/MySQL) and NoSQL systems (e.g., DynamoDB/MongoDB/Cassandra)
• Hands-on experience with Kafka and message/queue systems (e.g., SQS/RabbitMQ), including delivery semantics and failure handling
• Practical knowledge of caching patterns and cache invalidation strategies using tools like Redis or Memcached
• Strong observability practices, including structured logging, metrics, tracing, and familiarity with logging/monitoring tools
• A degree in Computer Science/Engineering or equivalent practical experience

Bonus Points If You Have

• Knowledge of Decentralized Identity (DCI) and Identity & Access Management (IAM) concepts, including auth patterns like OAuth/OIDC
• Experience with DataLake and Spark for large-scale ETL, batch processing, or analytics pipelines
• Experience with privacy/security best practices (PII handling, encryption, retention policies, audit logging)
• Experience scaling systems with cost and performance constraints (capacity planning, load testing, bottleneck analysis)

Life At Ping We believe in and facilitate a flexible, collaborative work environment. We’re growing quickly, but remain true to the innovative, can-do startup values that…