General Position Information

Reports directly to (Title): Manager or Senior Manager, HR Technology Products &

- Engineering

Matrix reports to (Title): As applicable based on HR Transformation &
- Analytics portfolio alignment

Direct Reports: Individual Contributor

Created / Last Revised: -

Job Code: -

Position Summary The Associate II - Transformation supports HR Transformation &

- Analytics by designing, building, testing, and maintaining software solutions, internal tools, integrations, automations, APIs, and digital capabilities that improve HR processes and analytics enablement. This role partners with product owners, business analysts, DevOps engineers, data teams, QA partners, and HR stakeholders to deliver secure and maintainable solutions.

The role is responsible for application development, code quality, technical documentation, testing, troubleshooting, and ongoing improvement of assigned software components. Success requires engineering fundamentals, collaboration, secure development practices, and responsible use of AI-assisted coding tools.

Responsibilities

Software Development &

- Maintenance

- Develop, test, debug, and maintain software components, scripts, APIs, automations, or internal applications for HR Transformation &
- Analytics use cases.
- Translate user stories and technical requirements into working software according to coding standards and architecture guidance.
- Support enhancements, defect fixes, performance improvements, and production support for assigned applications or services.

Testing, Documentation &

- Quality

- Write or support unit tests, integration tests, technical documentation, code comments, and implementation notes.
- Participate in code reviews, defect triage, release preparation, and troubleshooting activities.
- Follow secure coding, version control, deployment, accessibility, and maintainability standards.

Stakeholder &

- Engineering Partnership

- Partner with business analysts, product owners, UX/visualization partners, data teams, and DevOps engineers to clarify requirements and dependencies.
- Communicate development progress, risks, assumptions, and technical constraints clearly.
- Contribute to reusable patterns, shared components, and continuous improvement of engineering practices.

AI-Assisted Development





- Use approved AI coding tools to draft code patterns, tests, documentation, refactoring ideas, and troubleshooting steps while validating outputs before use.
- Review AI-generated code for correctness, security, maintainability, licensing concerns, and alignment to internal standards.
- Identify opportunities to improve developer productivity and solution quality through responsible AI-assisted engineering workflows.

AI Preparedness Expectations

- Uses AI to accelerate code drafts, test generation, documentation, and troubleshooting while retaining accountability for quality and security.
- Understands AI-generated code risks including defects, insecure patterns, licensing concerns, and unsupported assumptions.
- Builds capability in AI-assisted engineering, secure development, automation, software reliability, and intelligent HR products over the next three years.

Education &

- Experience

- Bachelor's degree in Business, Human Resources, Information Systems, Computer Science, Data Analytics, Statistics, Engineering, or a related field; equivalent experience may be considered.
- Typically 1-2 years of experience in a related environment.
- Experience developing software, scripts, APIs, workflow automations, web applications, internal tools, or system integrations.
- Experience with one or more programming languages such as JavaScript, TypeScript, Python, Java, C#, or equivalent.
- Experience using version control, testing practices, debugging methods, and basic software development lifecycle practices.

Must Have Skills

- Foundational software development skills in at least one programming language or platform.
- Understanding of APIs, databases, web application concepts, or workflow automation concepts.
- Ability to troubleshoot code, defects, and technical issues using logs, tests, and documentation.
- Working knowledge of Git or equivalent version control practices.




- Ability to translate requirements into maintainable, tested, and documented technical solutions.
- Understanding of secure coding, data privacy, and confidentiality expectations for HR-related systems.
- Foundational AI literacy for coding assistance, test support, documentation, and code review using approved tools.

Nice To Have Skills

- Experience with React, Angular, Node.js, .NET, Java, Python, Power Platform, ServiceNow, or other enterprise development platforms.
- Exposure to cloud platforms, APIs, integration services, DevOps pipelines, or containerization.
- Experience supporting HR systems, employee portals, workflow automation, analytics tools, or internal operations applications.
- Experience with Agile delivery, Jira, Azure DevOps, GitHub, CI/CD, or automated testing.
- Prior experience in healthcare, regulated environments, or enterprise software teams.
- Exposure to accessibility standards, user-centered design, security scanning, or production support.
- Experience using AI-assisted coding tools responsibly in development workflows.

Licenses, Certifications &

- Training

- Preferred: role-relevant certification, analytics platform training, data governance training, or Agile delivery training, as applicable.
- Preferred: Responsible AI, data privacy, data security, or HR data handling training.

Knowledge, Skills, Abilities, Behaviors

- Demonstrates curiosity, ownership, and sound judgment when working with HR data, systems, processes, and stakeholders.
- Communicates status, assumptions, risks, and limitations clearly without overstating what the data, process, or technology can support.
- Works collaboratively across HR, technology, analytics, product, operations, and transformation partners in a matrixed environment.
- Protects confidential HR and workforce information and follows internal privacy, security, data governance, and compliance expectations.
- Uses AI tools with skilled skepticism, validates AI-assisted outputs, avoids entering restricted data into unapproved tools, and escalates AI or data risks appropriately.
- Maintains documentation discipline, change awareness, customer focus, and continuous improvement mindset while balancing multiple priorities.

📌 Associate II - Transformation (Hyderabad)
🏢 HCA Healthcare - India
📍 Hyderabad