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Okta is seeking a Fullstack Software Engineer to join the global Automation Engineering team, responsible for designing, scaling, and governing enterprise integration infrastructure using AWS cloud services and modern iPaaS platforms.
In this individual contributor role, you will execute moderately complex technical tasks, build platform components, and collaborate under senior guidance. Your work will focus on creating paved paths that enable builders across Okta to connect enterprise systems seamlessly.
Key Responsibilities:
- Contribute technical design and execution for automation initiatives, creating integration patterns that streamline enterprise system connectivity
- Design, build, and deploy high-throughput event-driven integration flows, API gateways, and async orchestration workflows using AWS architectures and iPaaS platforms
- Build reusable frameworks, developer SDKs, self-service primitives, and integration templates to accelerate automation delivery
- Develop and maintain AWS cloud services and modern iPaaS tooling, driving scalable architecture, reliability, and developer enablement
- Partner with operations, security, and platform teams to strengthen monitoring, observability, structured audit logging, and automated governance
- Actively participate in code reviews, agile ceremonies, and technical discussions
- Collaborate with security, compliance, and business stakeholders to ensure self-service automations are secure, resilient, zero-trust aligned, and enterprise-ready
- Maintain and enhance platform primitives and integration components to meet evolving enterprise and builder requirements
Requirements:
- 2+ years of software engineering experience in Java and Python, focused on platform engineering, backend systems, distributed architectures, and enterprise integrations
- 1+ years of hands-on experience with modern front-end frameworks (React, Next.js, TypeScript) to build intuitive developer portals, operator dashboards, and self-service interfaces
- Solid working knowledge of AWS and event-driven architectures alongside enterprise iPaaS platforms (Zapier, n8n, etc.)
- Strong knowledge of software engineering best practices: Infrastructure as Code (Terraform/CloudFormation), CI/CD release automation, API contract design (REST/GraphQL), and unit/integration testing standards
- Experience in platform reliability, central logging, error recovery, operational observability, and self-service governance frameworks
- Demonstrated success in building internal platform tools, self-service capabilities, or paved paths that empower and accelerate engineering teams across an enterprise
- Hands-on experience with AI development and integrations, embedding LLM capabilities, agentic primitives, or intelligent features into cloud automations
- Familiarity with AI-driven SDLC practices, leveraging AI-assisted coding tools (e.g., GitHub Copilot, Cursor) to accelerate software delivery while maintaining safety and quality guardrails
