Job description

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Software Engineer Opportunity 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 Todd McKinnon, Okta's co-founder and CEO, with the opportunity to bring this 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. You will build the backend and AWS platform that keep these workers running around the clock. The team owns services, connectors, workflow execution, data and production reliability. You will write Python services and infrastructure code that let workers make approved changes and preserve evidence. About You 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. What you will bring to the role Experience building and operating production backend or distributed systems, with strong coding skills in Python or a comparable language. Hands-on AWS experience with APIs, queues, containers, networking, IAM and databases. Strong SQL and data modeling skills. Experience diagnosing database performance and asynchronous system failures. Experience with infrastructure as code, deployment automation, observability and production incident response. Sound judgment about customer data, tenant isolation, credentials and safe changes to external systems. Scope by level Senior: Own a backend or platform component, including deployment, tests and production operation. Staff: Lead a domain such as execution, tenant security, data infrastructure or reliability across teams. Principal: Set shared backend and platform contracts, resolve system tradeoffs and implement foundational services. Our stack Python FastAPI, AWS Step Functions, Amazon Bedrock AgentCore, Lambda, SQS, EventBridge, API Gateway and containers. Data and security use RDS PostgreSQL, pgvector, S3 Object Lock, KMS, Secrets Manager, CloudWatch and CloudTrail. The frontend uses React and AWS Amplify. OpenAI and Anthropic model integrations are planned. We are also adding an agent harness and dedicated analytics. ClickHouse is a hiring focus for analytics, and BigQuery or equivalent experience is relevant. The harness and analytics choices remain open. And extra credit for 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, including Claude Agent SDK, Codex SDK, Strands Agents, Deep Agents or LangGraph. Prior identity experience is optional. P26060_3596531 #LI-RWI Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: rewards.okta.com . The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $194,000 — $267,300 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

Requirements

Must-haves

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.
What you will bring to the role
Experience building and operating production backend or distributed systems, with strong coding skills in Python or a comparable language.
Hands-on AWS experience with APIs, queues, containers, networking, IAM and databases.
Strong SQL and data modeling skills. Experience diagnosing database performance and asynchronous system failures.
Experience with infrastructure as code, deployment automation, observability and production incident response.
Sound judgment about customer data, tenant isolation, credentials and safe changes to external systems.
Scope by level
Senior: Own a backend or platform component, including deployment, tests and production operation.
Staff: Lead a domain such as execution, tenant security, data infrastructure or reliability across teams.
Principal: Set shared backend and platform contracts, resolve system tradeoffs and implement foundational services.
And extra credit for
ClickHouse, BigQuery or comparable analytics systems, event ingestion and usage metering.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiawspythonapisqlreactmachine learning

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Parental Leave