Okta Sr. Software Engineer building backend and AWS platform for autonomous AI agents at Okta. Develop Python services, infrastructure code, and manage data models to support identity operations and security.
Responsibilities
Build Python FastAPI services, data models and reusable connectors for Okta, AWS, ServiceNow and enterprise applications
Implement durable execution with Step Functions, SQS and EventBridge handling approval waits, rate limits, duplicate events and safe retries
Build model API access for OpenAI, Anthropic and supported AWS paths including credentials, quotas, timeouts and cost controls
Add an analytics pipeline for worker events, traces, tokens, findings and verified outcomes
Create reliable usage records and reconciliation preventing retries, duplicate findings and incomplete work from being counted as new outcomes
Build deployment pipelines, infrastructure as code, observability and safe release controls across development, staging and production
Implement scoped write services, kill switches, audit retention and backup recovery testing failures and verifying sensitive changes
Qualification
Reliable builderHands-on engineerStrong ownerWhat you will be doingBuild Python FastAPI servicesManage PostgreSQL schemasBuild model API access for OpenAIBuild deployment pipelinesImplement scoped write services
Required
Reliable builder: You design for failure and prove that recovery works.
Hands-on engineer: You write production services and improve the tools engineers use every day.
Strong owner: You follow changes through deployment, monitoring and production support.
What you will be doing
Build Python FastAPI services, data models and reusable connectors for Okta, AWS, ServiceNow and enterprise applications.
Implement durable execution with Step Functions, SQS and EventBridge. Handle approval waits, rate limits, duplicate events and safe retries.
Manage PostgreSQL schemas, indexes, query performance and pgvector retrieval. Enforce tenant isolation across APIs, storage and credentials.
Build model API access for OpenAI, Anthropic and supported AWS paths, including credentials, quotas, timeouts and cost controls.
Add an analytics pipeline for worker events, traces, tokens, findings and verified outcomes. Evaluate ClickHouse and comparable systems such as BigQuery.
Create reliable usage records and reconciliation. Prevent retries, duplicate findings and incomplete work from being counted as new outcomes.
Build deployment pipelines, infrastructure as code, observability and safe release controls across development, staging and production.
Implement scoped write services, kill switches, audit retention and backup recovery. Test failures and verify that sensitive changes actually took effect.
