okta
Cloud Infrastructure Architect, Okta Federal
At a Glance
- Location
- Washington, District of Columbia, United States
- Work Regime
- onsite
- Experience
- 10+ years
- Posted
- 2026-07-09T13:52:28-04:00
Key Requirements
Required Skills
Domain Knowledge
- Cloud
- Engineering
- Government
- Insurance
- Regulatory
Benefits & Perks
health, dental and vision insurance, 401(k), flexible spending account, and
Requirements
10+ years of hands-on cloud infrastructure experience with deep, demonstrated expertise in one or more major cloud providers (AWS, GCP, or Azure) — including compute, networking, storage, IAM, and managed services at enterprise scale; AWS experience is preferred given our current environment, but strong multi-cloud or GCP backgrounds are equally valued
Proven experience designing and operating Kubernetes and EKS at scale — cluster architecture, multi-tenancy patterns, networking (CNI, service mesh), security hardening, and day-2 operations
Experience architecting infrastructure for AI and machine learning workloads — GPU compute, model serving, data pipeline infrastructure, and the security and access patterns that go with them
Demonstrated experience making intentional cloud provider placement decisions — evaluating workloads against provider capabilities, cost profiles, compliance requirements, and existing organizational footprint rather than defaulting to a single cloud
Strong cloud security background — IAM design, network segmentation, secrets management, policy-as-code, and experience with compliance frameworks (SOC 2, FedRAMP, or equivalent)
Solid understanding of enterprise identity and access management patterns — including federated identity, SSO, and SCIM — and experience integrating cloud workloads and platform services with identity providers such as Okta
Responsibilities
Define and own Okta's Cloud Platform architecture — establish reference architectures, design standards, and guardrails that bring consistency, security, and reliability to workloads running across the business
Lead the architecture for Kubernetes and EKS — design and evolve our cluster strategy, multi-tenancy model, networking topology, and security posture as the platform scales to support AI agent workloads and diverse business unit deployments
Elevate Okta's AI platform — partner with AI architects and platform engineers to evolve our agent and model-serving infrastructure from its current state to a production-grade, scalable platform capable of supporting broad business adoption
Drive multi-cloud strategy — build the evaluation framework and decision criteria for when and how Okta leverages AWS, Azure, and Google Cloud; ensure workload placement is intentional and optimized for performance, cost, and capability
Serve as the technical anchor for the Cloud Platform Engineering team — raise the architectural quality of everything the team designs and builds as we complete the transformation from account vending to a managed platform model
Partner cross-functionally with AI, security, and productivity architects, product managers, and business unit stakeholders to ensure cloud infrastructure decisions align with Okta's product, compliance, and operational requirements — including support for federal programs and FedRAMP environments