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Staff Software Engineer, AI Platform & Infrastructure

Okta - San Francisco, CA, United States - In-office - posted 2026-10-24

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Salary: USD 194,000 - 267,300 / annual

Okta is hiring a Staff Software Engineer to join the team building Digital Workers, a suite of autonomous agents for identity operations and security. This is a high-impact role working directly with Todd McKinnon (Okta's co-founder and CEO) to bring this product to Okta's 20,000+ customers. You will operate with startup ownership and pace while leveraging the resources of a public company. You will own the backend and AWS platform infrastructure that powers these autonomous workers around the clock. The team is responsible for services, connectors, workflow execution, data management, and production reliability. Your work will involve writing Python services and infrastructure code that enable workers to make approved changes while preserving audit evidence. Key responsibilities include: - Building Python FastAPI services, data models, and reusable connectors for Okta, AWS, ServiceNow, and enterprise applications - Implementing durable execution patterns using Step Functions, SQS, and EventBridge, handling approval waits, rate limits, duplicate events, and safe retries - Managing PostgreSQL schemas, indexes, query performance, and pgvector retrieval with strict tenant isolation across APIs, storage, and credentials - Building model API access for OpenAI, Anthropic, and AWS paths with credential management, quotas, timeouts, and cost controls - Creating analytics pipelines for worker events, traces, tokens, findings, and verified outcomes (evaluating ClickHouse and BigQuery) - Establishing reliable usage records and reconciliation to prevent duplicate counting - Building deployment pipelines, infrastructure as code, observability, and safe release controls across environments - Implementing scoped write services, kill switches, audit retention, and backup recovery with failure testing You will be a reliable builder who designs for failure and proves recovery works. You are a hands-on engineer who writes production services and improves tools for other engineers. You are a strong owner who follows changes through deployment, monitoring, and production support. Tech stack: Python FastAPI, AWS (Step Functions, Lambda, SQS, EventBridge, API Gateway, containers), RDS PostgreSQL, pgvector, S3 Object Lock, KMS, Secrets Manager, CloudWatch, CloudTrail, React, and AWS Amplify. Planned integrations include OpenAI and Anthropic models. REQUIREMENTS: - Production backend or distributed systems experience with strong coding skills in Python or comparable language - Hands-on AWS experience with APIs, queues, containers, networking, IAM, and databases - Strong SQL and data modeling skills with experience diagnosing database performance and asynchronous system failures - Infrastructure as code, deployment automation, observability, and production incident response experience - Sound judgment about customer data, tenant isolation, credentials, and safe changes to external systems EXTRA CREDIT: - ClickHouse, BigQuery, or comparable analytics systems, event ingestion, and usage metering - Multi-tenant SaaS, OAuth, OIDC, SAML, SCIM, or enterprise connector development - Deploying agent frameworks (Claude Agent SDK, Codex SDK, Strands Agents, Deep Agents, LangGraph) - Prior identity experience (optional)

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