Staff Software Engineer

Okta•San Francisco, CA

About The Position

Okta is The World’s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we’re looking for lifelong learners and people who can make us better with their unique experiences. Join our team! We’re building a world where Identity belongs to you. The Technology, Data, and Intelligence Team Okta’s Technology, Data, & Intelligence organization is on a mission to simplify and secure internal operations through automation, analysis, and scale. Our Productivity Engineering team is responsible for developing internal tooling, infrastructure and services that empower Okta employees to work as effectively as possible. We work across engineering, data science, security, and internal business teams to deliver automation-powered services that integrate across a wide array of SAAS apps and internally developed infrastructure to Okta. A growing focus for our team has been an investment of cycles into AI agentic platforms, workflow orchestration, and data analytic dashboarding. We’re looking for engineers who enjoy solving tough problems and building with purpose. The Staff Software Engineer Opportunity Reporting to Mat Clinton, this role will you’ll play a key role in designing and developing platforms and services that support Okta’s internal transformation. You’ll help build the infrastructure and applications that make intelligent automation and GenAI real for our workforce — all while ensuring performance, security, and reliability at enterprise scale.This is a hands-on IC role for someone who thrives on system design, loves to build, and wants to grow their influence across a fast-moving engineering team.

Requirements

5+ years of software engineering experience, including building and maintaining production services at scale
Experience working with distributed systems, cloud-native architectures, and API-based integrations
Exposure to AI/ML concepts, and interest in applying LLMs, NLP, or automation tools in practical use cases
A collaborative mindset, strong communication skills, and desire to work across team boundaries
Curiosity and a desire to learn — especially around AI technologies, enterprise platforms, and building responsibly

Responsibilities

Design and build production grade internal services that integrate GenAI and automation into core business workflows (e.g., virtual agents, RAG, enterprise search)
Work closely with product, engineering, and data science teams to deliver features from prototype to production, with a focus on quality and user experience
Contribute to platform architecture decisions, especially around LLM integration, API design, and system observability
Write clean, maintainable code in languages like Python or Go, and build services using containerized environments (e.g., Docker, Kubernetes)
Deploy cloud infrastructure to GCP & AWS using IAAS like Terraform, OpenTofu, or similar
Promote engineering best practices around testing, security, CI/CD, and operational readiness
Participate in design reviews, troubleshooting sessions, and peer mentorship to support a strong, collaborative engineering culture