
About the role
The team that built Jeeva AI is building Digital Workers, a new suite of autonomous agents for identity operations and security inside Okta. The team works directly with Okta’s co-founder and CEO, Todd McKinnon, and aims to bring the product to Okta’s 20,000+ customers. You will help shape the product with the ownership and pace of a startup and the resources of a public company. Okta is hiring two hands-on architects: one to lead agent execution, harnesses, and evaluations, and one to lead backend services, integrations, data, and platform reliability. You will write critical code, resolve cross-team decisions, and work with engineers through production rollout.
Key Responsibilities
- Define and implement shared contracts for tasks, events, permissions, approvals, evidence, and usage
- Set clear boundaries between model reasoning, agent harnesses, durable workflows, and services that enforce authorization
- Select an agent harness through representative identity tasks, failure tests, and operational evidence, keeping model providers and harness components replaceable
- Design integrations with OpenAI and Anthropic APIs, covering data boundaries, latency, cost, version changes, and measured release quality
- Build reference services for tenant isolation, scoped tool execution, idempotency, long approval waits, and verified results
- Define the transactional and analytics data architecture, keeping PostgreSQL application state separate from the planned ClickHouse or BigQuery analytics layer
- Connect Product, Applied AI, and Platform engineers through clear ownership and practical APIs, and resolve dependencies that slow delivery
- Write critical implementations, review recovery and security, and guide technical leads through production rollout and customer expansion
Requirements
- A record of leading architecture and delivery across multiple engineering teams, with recent production code you personally implemented
- Deep knowledge of distributed services, API design, data consistency, cloud security, and production operations
- Experience simplifying systems while improving reliability, security, or delivery speed
- Ability to explain design trade-offs, guide senior engineers, and stay accountable through implementation
- Depth in at least one of the two role focus areas, plus the ability to work across the full product
- Education: Not specified
Role focus areas
- AI systems architect: Build and evaluate agent harnesses, context management, model integrations, and quality controls. Relevant experience includes Claude Agent SDK, OpenAI Codex SDK, Strands Agents, LangChain Deep Agents, LangGraph, or a comparable custom runtime.
- Platform architect: Lead backend, connector, security, data, and workflow architecture, with deep production systems experience and practical knowledge of integrating model-driven workflows.
Skills
Technical Skills
- Python (FastAPI), React, and TypeScript
- AWS: Amplify, Step Functions, Amazon Bedrock AgentCore, Lambda, SQS, EventBridge, API Gateway
- RDS PostgreSQL, pgvector, and S3
- Security and operations: KMS, Secrets Manager, CloudWatch, CloudTrail
- OpenAI and Anthropic model API integrations
- Agent harnesses and evaluations (AI systems focus)
Soft Skills
- Hands-on ownership
- Practical, simple design thinking
- Earning trust through useful code, clear feedback, and customer understanding
- Guiding senior engineers and cross-team partners
Nice to Have
- Experience with enterprise identity, security products, OAuth, OIDC, SAML, SCIM, or complex customer integrations
- Experience with ClickHouse, BigQuery, agent evaluations, post-training systems, or open-source infrastructure
- Experience building a new product within a larger enterprise while keeping technical decisions reversible
Benefits
- Equity (where applicable) and bonus
- Health, dental, and vision insurance
- 401(k)
- Flexible spending account
- Paid leave, including PTO and parental leave
- Immersive in-person onboarding

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