Description
Okta is seeking a Senior Automation Engineer to design and scale intelligent automation across its Enterprise Technology ecosystem.
This role involves reducing manual operational work, improving developer productivity, and accelerating the software delivery lifecycle across various platforms such as Salesforce, NetSuite, AEM, Boomi, identity systems, CI/CD platforms, and other enterprise applications.
The engineer will build reliable automation services, reusable integration patterns, and AI-assisted developer agents that understand source code, metadata, configuration, tickets, documentation, deployment history, and operational context.
These solutions will automate release activities, identify deployment risks, reduce merge-conflict resolution effort, improve environment management, and enable safe self-service operations.
The role requires a combination of software engineering, enterprise application expertise, API and integration development, CI/CD automation, security engineering, and practical experience applying AI to developer and operational workflows.
Intelligent Automation and Developer Productivity
- Build AI-assisted developer agents and automation services that reduce repetitive engineering and operational work.
- Use contextual information from Git repositories, metadata, tickets, documentation, deployment logs, and platform APIs to make automation more accurate and useful.
- Automate release planning, validation, dependency analysis, testing, deployment coordination, post-release verification, and rollback activities.
- Build tools that detect potential merge conflicts, explain their impact, and recommend or execute safe resolutions with appropriate human approval.
- Develop agents that assist with code and metadata analysis, documentation, test generation, troubleshooting, incident response, and operational runbooks.
- Establish metrics to measure productivity gains, manual effort reduction, deployment quality, and automation adoption.
Cross-Platform Enterprise Automation
- Design and implement automation across Salesforce, NetSuite, AEM, Boomi, Okta, GitHub, CI/CD systems, ticketing platforms, and other ET applications.
- Build reusable APIs, connectors, scripts, workflows, and event-driven services.
- Create platform-agnostic automation patterns for authentication, authorization, retries, error handling, logging, monitoring, and auditability.
- Develop self-service capabilities that allow teams to safely perform approved tasks without direct manual intervention.
- Monitor, troubleshoot, and improve end-to-end workflows spanning multiple enterprise applications.
Salesforce Platform Engineering and Security
- Design and optimize Salesforce Flows, declarative automation, Apex utilities, and platform integrations.
- Implement Profiles, Permission Sets, Permission Set Groups, FLS, Sharing Rules, OWDs, Shield, Event Monitoring, and related security controls.
- Build data masking and lower-environment protection processes for sensitive information.
- Debug and refactor platform automation to improve reliability, performance, and maintainability.
- Review third-party packages, Connected Apps, OAuth configurations, and API access in partnership with Security and Privacy teams.
Release, CI/CD, and Environment Automation
- Eliminate manual deployment and environment-management steps through automation.
- Build CI/CD integrations for metadata validation, testing, deployment, approvals, and rollback.
- Automate sandbox refreshes, data masking, metadata synchronization, configuration updates, and post-refresh activities.
- Maintain automation code and configuration in GitHub using appropriate branching, testing, review, and release practices.
- Partner with Release Engineering and DevSecOps teams to standardize deployment and operational patterns.
Automation Security, Governance, and Reliability
- Implement least-privilege access for service accounts, agents, integrations, and automation workflows.
- Apply guardrails and human approval controls to high-risk actions.
- Protect sensitive data used by automation and AI systems.
- Maintain comprehensive execution logs, audit trails, monitoring, and alerting.
- Design for reliability through testing, idempotency, retries, failure recovery, and rollback.
- Establish governance standards for secure and responsible use of AI-enabled automation.
Required Qualifications
- 5+ years of experience in software engineering, enterprise automation, platform engineering, DevOps, integration engineering, or a related field.
- Proven experience building production-grade automation that reduces manual operational or development work.
- Strong programming experience in Python, JavaScript/TypeScript, Node.js, Java, or a similar language.
- Experience with REST APIs, webhooks, OAuth, event-driven workflows, asynchronous processing, and SaaS integrations.
- Experience with Git/GitHub, CI/CD pipelines, automated testing, release engineering, and environment management.
- Experience with at least two enterprise platforms, preferably including Salesforce, NetSuite, AEM, Boomi, Okta, or comparable systems.
- Hands-on Salesforce experience with Apex, SOQL/SOSL, Flows, Salesforce CLI, metadata APIs, and platform security.
- Experience designing reusable automation frameworks, internal tools, CLI utilities, or developer platforms.
- Practical experience integrating LLMs or AI services into enterprise workflows, developer tools, or operational automation.
- Understanding of agentic workflows, tool calling, retrieval-augmented generation, context management, and human-in-the-loop automation.
- Experience implementing security controls for APIs, service accounts, connected applications, secrets, data access, and automation infrastructure.
- Strong debugging, documentation, communication, and cross-functional collaboration skills.