Software Engineer, Digital Workers (AWS Backend) | Okta

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. You will build the backend and AWS platform that keeps these workers running around the clock. The team owns services, connectors, workflow execution, data, and production reliability, and you will write Python services and infrastructure code that let workers make approved changes and preserve evidence.

Key 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
• Manage PostgreSQL schemas, indexes, query performance, and pgvector retrieval, and 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, evaluating ClickHouse and comparable systems such as BigQuery
• Create reliable usage records and reconciliation, so retries, duplicate findings, and incomplete work aren’t 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, and test failures to verify that sensitive changes took effect

Requirements

• 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, and 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
• Education: Not specified

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 trade-offs, and implement foundational services

Skills

Technical Skills

• Python (FastAPI)
• AWS: Step Functions, Amazon Bedrock AgentCore, Lambda, SQS, EventBridge, API Gateway, containers
• RDS PostgreSQL, pgvector, S3 Object Lock, KMS, Secrets Manager, CloudWatch, CloudTrail
• Infrastructure as code, deployment automation, and observability
• SQL and data modeling
• OpenAI and Anthropic model API integrations

Soft Skills

• Designing for failure and proving recovery works
• Hands-on ownership from deployment through production support
• Judgment on customer data and safe changes to external systems

Nice to Have

• Experience with ClickHouse, BigQuery, or comparable analytics systems, event ingestion, and usage metering
• Experience with multi-tenant SaaS, OAuth, OIDC, SAML, SCIM, or enterprise connector development
• Experience deploying agent frameworks, such as Claude Agent SDK, Codex SDK, Strands Agents, Deep Agents, or LangGraph (prior identity experience is optional)