Senior Software Engineer, AI and Automation
Okta · Bengaluru · 3+ yrs experience · Posted 2026-07-18
Tech stack: AWS, Angular, Azure, GCP, Go, Java, Node.js, Python, React, Vue
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About the role
Responsibilities:
- Design and develop platform services for AI agents, including orchestration, lifecycle management, observability, and guardrails.
- Collaborate daily with US counterparts to align on architecture, share roadmaps, and ensure global consistency.
- Build scalable APIs, frameworks, and reusable components that enable teams to rapidly create and deploy secure AI agents.
- Contribute to monitoring, evaluation, and governance features that make AI adoption safe, reliable, and enterprise-ready.
- Partner with Applied AI engineers, product managers, and designers to ensure the platform supports real-world use cases.
- Stay current with advances in agentic AI, orchestration frameworks, and enterprise AI infrastructure.
Qualifications:
- 5–8 years of software engineering experience, with at least 3+ years in AI/ML platforms or intelligent automation.
- 3+ years in Python preferred, Java, Node.js, or Go.
- 2+ years with modern front-end frameworks (e.g., React, Vue, Angular), principles of accessibility (a11y), and an ability to collaborate effectively with Product & Design.
- Expertise in AI agent frameworks (LangGraph preferred), orchestration systems, vector databases, RAG pipelines, and monitoring/observability.
- Strong background in distributed systems, APIs, microservices, container orchestration (ECS/EKS), and cloud platforms (AWS/GCP/Azure).
- Experience building secure, enterprise-grade infrastructure for AI or ML workloads.
- Strong communication and collaboration skills to work effectively across time zones and global teams.
- Why join us:
- At Okta, you’ll play a critical role in building the platform foundations that power enterprise AI.
- Your work will directly enable applied AI solutions that impact thousands of employees and customers, while ensuring AI adoption is smarter, faster, and always secure.
- As part of a global engineering team, you’ll collaborate seamlessly with peers in the US and India, making an impact at scale.
- hybrid role P19145_3321950
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
Qualifications
- 5–8 years of software engineering experience, with at least 3+ years in AI/ML platforms or intelligent automation.
- 3+ years in Python preferred, Java, Node.js, or Go.
- 2+ years with modern front-end frameworks (e.g., React, Vue, Angular), principles of accessibility (a11y), and an ability to collaborate effectively with Product & Design.
- Expertise in AI agent frameworks (LangGraph preferred), orchestration systems, vector databases, RAG pipelines, and monitoring/observability.
- Strong background in distributed systems, APIs, microservices, container orchestration (ECS/EKS), and cloud platforms (AWS/GCP/Azure).
- Experience building secure, enterprise-grade infrastructure for AI or ML workloads.
- Strong communication and collaboration skills to work effectively across time zones and global teams.
- Why join us:
- At Okta, you’ll play a critical role in building the platform foundations that power enterprise AI.
- Your work will directly enable applied AI solutions that impact thousands of employees and customers, while ensuring AI adoption is smarter, faster, and always secure.
- As part of a global engineering team, you’ll collaborate seamlessly with peers in the US and India, making an impact at scale.
- hybrid role P19145_3321950
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
Responsibilities
- Design and develop platform services for AI agents, including orchestration, lifecycle management, observability, and guardrails.
- Collaborate daily with US counterparts to align on architecture, share roadmaps, and ensure global consistency.
- Build scalable APIs, frameworks, and reusable components that enable teams to rapidly create and deploy secure AI agents.
- Contribute to monitoring, evaluation, and governance features that make AI adoption safe, reliable, and enterprise-ready.
- Partner with Applied AI engineers, product managers, and designers to ensure the platform supports real-world use cases.
- Stay current with advances in agentic AI, orchestration frameworks, and enterprise AI infrastructure.