Engineering Manager, Okta

• 10+ years in software engineering, including 3+ in a management role, shipping enterprise cloud software
• Hands-on depth in coding at scale using: Java, Python, or TypeScript, plus API (REST, gRPC) and UI automation (Playwright, Selenium, or equivalent)
• Experience with CI/CD (CircleCI or equivalent), containers (Docker, Kubernetes), and a major cloud platform
• Operates well beyond basic AI tool usage - understands how to apply AI meaningfully across the full software development lifecycle, can evaluate and adopt new AI tooling with good judgment, and is able to establish practices and bring a team along
• Proven experience defining scalable backend architectures and integrating complex APIs with modern web technologies - including the ability to make and defend architectural decisions with lasting org-wide impact
• Solid understanding of web authentication and authorization fundamentals - how auth flows work, and best practices for securing sensitive user data
• Architectural expertise: Proven experience defining scalable backend architectures and integrating complex APIs with modern web technologies, including making decisions with lasting, org-wide impact
• Backend proficiency: Deep expertise in building reliable, secure, enterprise-grade software in Java or another type-safe language
• Frontend flexibility: High proficiency in JavaScript/TypeScript with true fullstack range, including the ability to ship robust frontends

Desirable

• As a manager on the OIG (Governance Intelligence) team, your mission is to adapt the OIG product to the needs of the government customers
• In this role, you will actively design, build, and maintain both robust backend services and intuitive frontend interfaces
• This role requires deep expertise in distributed systems and a commitment to AI-native engineering as our standard
• You will rethink backend design, validation, and delivery through AI-augmented workflows, ensuring our platform provides secure, interoperable, and scalable access—enforcing the principle of least privilege for every aspect of the product
• Lead and grow a team of ML experts and other engineers to deliver key Intelligence features for the OIG product - powered by machine learning, large language models, and agentic AI systems
• Establish rigor around AI evaluation: designing “evals” frameworks, measuring factuality, relevance, and task completion, and setting quality gates before production rollout
• Own the end-to-end AI product lifecycle: from problem framing and data curation through model training, A/B testing, deployment, and continuous improvement based on production signals
• Manage the process to Architect, deploy, and maintain cloud and on-premises infrastructure across high-compliance security baselines
• Support operations transitioning into federal environments. Collaborate with other engineering teams to ensure software deployments meet stringent governmental security standards
• Proactively identify and prioritize tech debt; drive improvements in areas beyond feature work - CI/CD, observability, documentation, reliability, and support processes
• Partner with Product and Design to understand and own the desired customer outcome, not just the technical deliverable
• Actively invest in the growth of reporting engineers, taking responsibility for raising the technical bar of the team as a whole