Staff Software Engineer-FullStack

United States Digital Space LLC; Bengaluru; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

United States Digital Space LLC is seeking a Staff FullStack Engineer to design and optimize full-stack solutions across People Technology apps like Workday, Greenhouse and Cornerstone. You will build and maintain integrations, AI-enabled workflows, and cloud-native services on AWS.

The role reports to the Manager in Bengaluru and requires leadership in implementing scalable, secure, cost-efficient systems, plus collaboration with AI/ML teams to deliver enterprise-grade solutions.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, or equivalent.
• 9+ years in Python and related data manipulation libraries.
• 6+ years with modern front-end frameworks and TypeScript.
• Production-grade AI apps and AWS cloud experience a must.

Responsibilities

• Design, develop, and maintain full-stack solutions across Workday, Greenhouse and Cornerstone.
• Build off-platform integration scripts using Python and LangChain.
• Architect scalable, secure cloud-native solutions on AWS for RAG and AI workflows.
• Collaborate with BT Product Manager to deliver People Technology solutions.
• Provide guidance on AI integration for enterprise apps and related systems.
• Work with AI/ML teams to bring AI capabilities to enterprise platforms.
• Resolve production issues across the full stack.
• Develop integrations with REST/SOAP APIs and A2A MCP connections.
• Create Generative AI solutions using Workday Agent Tools for practical use cases.

Skills

Python

Node.js/React

LangChain

AWS

CloudFormation

Education

Bachelor's degree in Computer Science or equivalent

Tools

Workday

Greenhouse

Cornerstone

AWS Bedrock

LangGraph

LangSmith

API Gateway

Job description

**Secure Every Identity, from AI to Human

**Identity is the key to unlocking the potential of AI. the company secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

the company 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

#LI_Hybrid

#LI_P25740_3566323

The the company Experience

• Supporting Your Well-Being

• Driving Social Impact

• Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

the company is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.

If reasonable