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Staff Software Engineer-FullStack

Join Okta as a Staff FullStack Engineer to develop and optimize solutions for People Technology applications in a hybrid work environment.

Location
Bengaluru, India
Compensation
Not disclosed
Level
staff
Type
full time · Hybrid

Posted by employer 7 hours ago

First seen on Joblaze 1 hour ago

Last verified on the company career page 1 hour ago

What you'll build

  • Design, develop, and maintain full-stack solutions for People Technology applications
  • Develop and maintain robust off-platform integration scripts
  • Architect and implement scalable cloud-native solutions on AWS
  • Provide technical consultation for AI and Agentic AI
  • Support and resolve production issues across the full application stack

Must have

  • 9+ years in Python and its libraries
  • 6+ years with modern front-end frameworks
  • Deep hands-on experience with AWS solutioning
  • Proven experience building and deploying production-grade AI applications

Nice to have

  • Experience with agentic frameworks like LangChain
  • Understanding of the HR/ERP platform
  • AWS cloud Certification
  • Any ERP foundation certificate

AI in the day-to-day

Develop and maintain robust off-platform integration scripts using Python & LangChain to manage data transfer and interactions between People Technology apps and AI Platforms.

Requirements

Experience
9+ years
Education
Bachelor's degree

Not disclosed in this posting: compensation, visa sponsorship.

Joblaze summary

In this role, the Staff Software Engineer will focus on developing and optimizing full-stack solutions for People Technology applications like Workday, Greenhouse, and Cornerstone, enhancing business processes and scalability. Key skills include proficiency in Python, modern front-end frameworks such as React, and experience with AWS services for cloud-native solutions. This position is ideal for seasoned engineers with over nine years of experience, particularly those familiar with AI applications and integration frameworks. The team emphasizes collaboration and innovation within a global community.

Joblaze insights

  • Listed today — first seen on Joblaze September 30, 2026. Last confirmed on Okta's careers page September 30, 2026.

Quick facts

Is the Staff Software Engineer-FullStack role remote?
It's hybrid — Okta expects some on-site time in Bengaluru, India.
How much experience is required?
At least 9 years of relevant experience for this Staff Software Engineer-FullStack role.
Where is the role based?
Okta is hiring for this position in Bengaluru, India.
What's the tech stack?
Joblaze extracted these technologies from the posting: AWS, Cornerstone, Greenhouse, LangChain, LangGraph, Node.js.
What seniority level is this role?
Okta targets staff-level candidates for this position.
Is this full-time or contract?
Full-time for this Staff Software Engineer-FullStack role at Okta.

From the original posting

Secure Every Identity, from AI to Human

Okta seeks a skilled Staff FullStack Engineer with expertise with People Technology Applications (Workday, Greenhouse, Cornerstone).
As part of our Business Technology team, you will be responsible for developing and optimizing full-stack solutions, including custom scripts, workflows, integrations, and system enhancements for both Workday, Greenhouse and Cornerstone to improve business processes and scalability.
This role will report to the Manager in Bangalore, India.
What you’ll be doing :
  • Design, develop, and maintain full-stack solutions for the People Technology Tech stack like Workday, Greenhouse and Cornerstone Cloud Applications etc., using any of the full-stack applications like Node Js/React
  • Develop and maintain robust off-platform integration scripts using Python & LangChain to manage data transfer and interactions between People Technology apps (via API) and AI Platforms
  • Architect and implement scalable, secure, and cost-efficient cloud-native solutions on AWS for RAG, MCP, A2A for Agentic AI (LangGraph)
  • Closely work with the BT Product Manager to design, develop, test, implement & support system solutions primarily in People Technology
  • Provide technical consultation, best practices, and problem resolution for AI and Agentic AI for the People tech stack Workday Studio / Extend, Cornerstone, Greenhouse, and associated integrated systems
  • Work with AI/ML teams and solution architects to integrate AI capabilities into enterprise applications.
  • Support & resolve production issues across the full application stack
  • Develop and maintain integrations with third-party applications via REST/SOAP APIs, Agent to Agent (A2A) and MCP
  • Design and implement custom Generative AI solutions using the Workday Agent System of Record Agent Tools for practical Workday use cases
What you’ll bring to the role
    • 9+ years in Python and its libraries (e.g., Pandas, Boto3) for data manipulation, ETL processes, and developing serverless functions to interact with foundational AI services on platforms like AWS Bedrock or OpenAI or equivalent platforms.
    • 6+ years with modern front-end frameworks (e.g., React, Next.js, TypeScript, Python), and an ability to collaborate effectively with Product & Design.
    • Deep hands-on experience with AWS solutioning, including designing and deploying production applications using core services such as AWS EC2, AWS Lambda, Amazon S3, Amazon RDS, and API Gateway. Familiarity with Infrastructure as Code (IaC) tools like CloudFormation or Terraform is essential.
    • Proven experience building and deploying production-grade AI applications and services.
    • Experience with agentic frameworks like LangChain, LangGraph, and LangSmith is a strong plus.
And extra credit if you have experience in any of the following
  • Understanding of the HR/ERP platform is a plus
Education and Certifications
    • A Bachelor’s degree in Computer Science, Information Systems, or equivalent years of industry experience
    • AWS cloud Certification or any ERP foundation certificate is a plus

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The Okta Experience

Standard company text repeated across Okta's postings is omitted here.

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