Staff Software Engineer, Resiliency (Federal)

Okta is The World’s Identity Company. We free everyone to safely use any technology - anywhere, on any device or app. Our Identity as a Service solution enables secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart 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.

The Engineering Opportunity

Okta's Workforce Identity Cloud (WIC) secures billions of global logins every day. The Resilience Team within WIC maximizes service availability by building foundational, high-scale systems. Our engineers solve complex distributed-systems challenges - from database proxies to traffic shaping - to ensure the platform remains trustworthy and reliable for every customer.

We are seeking a Staff Back-End Software Engineer to lead technical initiatives and own the reliability of our expanding Identity as a Service platform.

In this role, you will develop microservices, build innovative frameworks, and optimize our cloud-native environment. You will champion reliability during design phases and collaborate across teams to address technical gaps.

We value iterative development, automated testing, and individual ownership. Join our creative, fast-paced team to work on impactful projects that are redefining the cloud computing landscape.

Job Duties and Responsibilities

• Partner with engineering teams to design, develop, and deliver cloud-based infrastructure projects that solve complex reliability issues and help Okta’s service scale.
• Design and implement robust backend frameworks, tools, microservices, and library components for the entire engineering organization to use at scale.
• Champion innovative, scalable, and resilient solutions across the engineering organization, advising other teams on fault-tolerant system design.
• Actively explore and integrate modern AI-driven developer tooling, automated diagnostics, and predictive monitoring capabilities to streamline performance testing,