Software Engineer - People Technology

Hrs As a Company

BUSINESS UNIT

POSITION

We are seeking a Software Engineer – People Technology & AI to build and scale the next generation of data-driven and AI-powered HR platforms. This role sits at the intersection of engineering, data, and HR domain expertise, enabling smarter decision-making across workforce, productivity, and employee lifecycle processes.

You will act as a product-minded engineer, owning end-to-end development of solutions that integrate HR systems, data pipelines, and AI capabilities into scalable, enterprise-grade platforms.

This is not a traditional engineering role — you will translate business problems into data products, shaping how HR operates through technology, analytics, and intelligent automation.

CHALLENGE

• Build HR Data & Intelligence Platforms Design and develop scalable platforms that integrate HR systems (e.g., SuccessFactors, payroll, ATS) into unified data models enabling KPI tracking, analytics, and decision-making.
• Engineer AI-Enabled HR Solutions Develop and deploy AI-powered capabilities including forecasting, trend analysis, anomaly detection, and agent-based workflows to enhance HR operations and workforce insights.
• Own End-to-End Product Development Lead full lifecycle development — from problem framing, architecture design, development, deployment, and continuous optimization — treating solutions as products, not tickets.
• Enable Data-Driven HR Decision Making Translate complex HR and business requirements into intuitive dashboards, data models, and insights that influence leadership decisions and operational efficiency

• Design and build full-stack applications using modern frameworks (Next.js, Python, JavaScript, Golang)
• Develop microservices and APIs for scalable and modular system design
• Architect and manage cloud-native solutions (AWS: S3, RDS, EC2, ECS, Lambda)
• Implement CI/CD pipelines and DevOps best practices

• Build lightweight ETL/data pipelines using Python, Pandas, PySpark
• Define and maintain data models (fact/dimension, KPI structures)
• Ensure data validation, reconciliation, and integrity across multiple systems
• Translate data into meaningful business insights, especially within HR contexts

• Develop AI/ML use cases including: Forecasting workforce trends, Anomaly detection in HR data, Predictive insights for operations
• Build or integrate LLM based or agentic AI systems for HR workflows
• Implement evaluation, monitoring, and feedback loops for AI systems

• Integrate HR platforms such as SAP SuccessFactors with internal and external systems
• Develop and manage API-based integrations across enterprise tools
• Enable seamless data flow across HR, Finance, and Operations systems

• Design and build dashboards and reporting layers that clearly communicate insights
• Move beyond UI focus on data storytelling and decision enablement

• 5+ years of experience in software engineering (backend/full-stack)
• Proven experience building scalable, distributed systems and APIs
• Hands-on experience in data engineering and analytics pipelines
• Exposure to AI/ML or LLM-based systems in production environments

• Strong programming in Python + JavaScript (Node/Next.js)
• Experience with cloud platforms (AWS preferred)
• Knowledge of microservices, containerization (Docker/Kubernetes)
• Experience with CI/CD and DevOps practices

• Strong understanding of:
• Data modeling (KPIs, metrics, dimensions)
• Data validation and reconciliation
• Translating business problems into data solutions
• Ability to connect technical outputs to business impact (especially HR/workforce context)

• Experience with:
• LLM frameworks (LangChain, LlamaIndex, etc.)
• Agentic AI systems and orchestration
• Prompt engineering and evaluation frameworks
• Familiarity with MLOps / AIOps pipelines

• Experience with SAP SuccessFactors or similar HRIS platforms
• Exposure to enterprise system integrations (HR, Finance, Payroll)