Okta-posted 4 days ago
$151,000 - $227,000/Yr
Full-time • Mid Level
Bellevue, WA
Professional, Scientific, and Technical Services
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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 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.

  • 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
  • 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
  • Health, dental and vision insurance
  • 401(k)
  • Flexible spending account
  • Paid leave (including PTO and parental leave)
  • Equity (where applicable)
  • Bonus
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