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

1. 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.

2. 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.

3. 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.

4. 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

FOR THIS EXCITING MISSION YOU ARE EQUIPPED WITH...

Engineering & Architecture

• 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

Data Engineering & Analytics

• 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

AI & Advanced Analytics

• 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

System Integration

• 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

Visualization & Insight Delivery

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

PERSPECTIVE

Experience

• 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

Technical Skills

• 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

Data & Business Acumen

• 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)

AI & Advanced Capabilities (Preferred)

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

Integration & HR Tech (Preferred)

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

LOCATION, MOBILITY, INCENTIVE