Staff Software Engineer - Java (DSA)

Agentic Services Engineering Team

The Okta Agentic Services Team is at the forefront of AI integration, building the next generation of tools that empower customers to seamlessly utilize Okta alongside AI Agents. Our primary mission is pioneering robust infrastructure using the Model Context Protocol (MCP) to deeply connect AI models with Okta's core capabilities. We are also highly committed to empowering the broader developer ecosystem, actively contributing to Open Source SDKs that simplify how builders incorporate Okta into their AI-driven workflows. By championing these open standards and open-source tools, we provide the foundational building blocks necessary to shape the future of secure, intelligent applications.

In This Role, You Will

• Design and develop the next generation of AI-enabled tools that allow Okta customers to seamlessly utilize AI agents, heavily leveraging the Model Context Protocol (MCP).
• Actively build, maintain, and contribute to Open Source SDKs, empowering the broader developer community to easily incorporate Okta into their AI-driven applications and workflows.
• Design, develop, and maintain highly available, scalable, and resilient services and applications, including clear low-level designs, robust APIs, and effective data models.

• Own end-to-end technical solutions across multiple services or components, ensuring code quality, observability, security, and operational readiness.
• Collaborate with product, design, and cross-functional engineering teams to translate business and customer requirements into technical solutions that can be reused across domains.
• Lead code and design reviews, drive engineering best practices, and mentor other engineers to improve technical execution and maintain high standards.
• Diagnose complex production issues, improve reliability and performance through data-driven analysis, and enhance CI/CD pipelines and operational tooling.
• Safely integrate and operate AI/ML‑enabled solutions that improve outcomes, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products.

Culture, Mentorship & Best Practices

• Raise the Bar: Champion sustainable