Senior Software Engineer - Master Data Management

GE Healthcare Private Limited; Bengaluru; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

GE Healthcare Private Limited seeks a Senior Software Engineer – Reltio to shape the enterprise MDM and healthcare data platform. You will implement technical direction, configure Reltio, and guide API design, data modeling, and cloud-native deployments.

You will drive DevOps practices, multi-tenant SaaS features, and cross-functional collaboration across data engineers, architects, and analysts. Strong Java/Python, ML, and security expertise are essential.

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• 5+ years of progressive software engineering experience with at least 2 years on Reltio MDM.
• Proven API development expertise, RESTful services, and event-driven architectures.
• Strong cloud experience (AWS, Azure, GCP) and cloud-native stacks.
• Proficiency in Java, Python, or similar OOP languages.
• Deep knowledge of databases (NoSQL, relational) and data warehousing concepts.
• DevOps practices, CI/CD, and infrastructure-as-code familiarity.
• Experience with edge/embedded systems concepts as they relate to data ingestion.
• ML integration, matching algorithms, and data cleansing capabilities.
• Microservices, cloud integration patterns, and secure transport standards.

Responsibilities

• Lead development and configuration of enterprise MDM solutions using Reltio.
• Define API development standards and real-time data integration endpoints.
• Implement and optimize MDM workflows with multi-tenant SaaS features.
• Provide guidance on programming, databasing, and crosswalk mappings.
• Advocate DevOps, CI/CD, and automated tenant configuration migration.
• Support edge computing and embedded systems architectures for data syndication.
• Contribute to full-stack development from UI to data pipelines.
• Integrate ML capabilities, tuning match rules and tokens.
• Develop modular microservices and event-driven data connectors.
• Ensure security per HIPAA/HITRUST and secure encryption practices.
• Mentor junior engineers and participate in architecture reviews.
• Lead technical delivery blocks within Agile or Scrum environments.

Skills

API Development

Cloud Technology

Java

Python

Databasing

DevOps

Full Stack Development

Machine Learning integration

Microservices

Network Protocols

OOP

Performance Testing

Software Architecture

Agile/Scrum

Leadership

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science

Tools

Reltio MDM Platform

Kafka

SQS

RESTful APIs

Job description

Senior Software Engineer - Reltio Job Description Summary

As a Senior Software Engineer – Reltio, at GE Healthcare, you will play a pivotal role in implementing the technical direction and core configuration of our cutting‑edge enterprise master data and healthcare data platform solutions.

Responsibilities

• Lead the development, configuration, and implementation of enterprise MDM solutions, translating complex healthcare data requirements into robust code and configuration files using the Reltio Connected Data Platform.
• Define and enforce best practices for API Development, building seamless real-time data integration endpoints, streaming integrations, and ensuring interoperability across downstream and upstream healthcare applications.
• Implement and optimize MDM workflows leveraging Cloud Technology, managing multi-tenant SaaS features while adhering to organizational standards for cost, security, compliance, and performance.
• Provide expert guidance in Computer Programming and Databasing, developing optimized JSON configurations, handling crosswalk mappings, and structuring queries to interact effectively with Reltio's data store.
• Drive the adoption of DevOps principles and practices, utilizing continuous integration, deployment pipelines, and automated tenant configuration migration across environments.
• Support solutions incorporating Edge Computing and Embedded Systems Architecture, building data syndication logic that allows connected medical devices to consume clean master data.
• Contribute to Full Stack Development efforts, ensuring high-quality implementation from frontend data‑steward UI layouts (Reltio Console) to backend data pipelines and integration layers.
• Integrate Machine Learning (ML) capabilities into software products, configuring and tuning probabilistic match rules, match tokens, and automated merge criteria.
• Develop and evolve Microservices Architecture, coding modular, resilient data connectors and event‑driven message streaming handlers (e.g., Kafka, SQS).
• Ensure adherence to Network Protocols and stringent healthcare security standards (including HIPAA, HITRUST, and secure encryption protocols) across all development pipelines.
• Champion Object‑Oriented Programming (OOP) principles, writing clean, maintainable, and extensible codebases for custom data cleaners, validators, and utility services.
• Execute Performance Testing strategies, identifying API bottlenecks, optimizing batch data loading speeds, and tuning match engine runs to meet stringent performance requirements.
• Participate in Software Design Architecture reviews, presenting code and configuration models, while mentoring and guiding junior data engineers on the team.
• Provide technical leadership and oversight in Software Project Management, breaking down architectural requirements into actionable developer tasks and ensuring successful delivery of sprints.

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• 5+ years of progressive experience in software engineering, with at least 2 years of hands‑on experience configuring, developing, and deploying on the Reltio MDM platform.
• Proven expertise in API Development, designing RESTful web services, and building event‑driven architectures.
• Extensive experience with Cloud Technology (e.g., AWS, Azure, GCP) and cloud‑native application stacks.
• Strong proficiency in Java, Python, or similar Object‑Oriented programming languages.
• Deep understanding of Databasing technologies, including NoSQL, relational databases, data warehousing concepts, and complex data modeling.
• Solid experience implementing DevOps practices, infrastructure‑as‑code principles, and CI/CD automation tools.
• Familiarity with Edge Computing and Embedded Systems Architecture principles as they relate to downstream data ingestion.
• Proficiency in Full Stack Development concepts, with strong experience handling JSON‑based configurations and managing application UI definitions.
• Experience with Machine Learning (ML) integration, matching algorithms, and data cleansing applications.
• Demonstrated expertise in Microservices Architecture implementation and cloud integration patterns.
• Strong understanding of Network Protocols, data payload serialization, and secure transport standards.
• Mastery of Object‑Oriented Programming (OOP) principles.
• Experience with Performance Testing methodologies, load testing tools, and data pipeline profiling.
• Exceptional skills in Software Design Architecture pattern recognition, entity resolution troubleshooting, and crosswalk analysis.
• Proven ability in Software Project Management methodologies (such as Agile or Scrum) and leading technical delivery blocks.
• Excellent communication, leadership, and interpersonal skills to collaborate effectively with architects, data stewards, and business analysts.

Relocation Assistance Provided: Yes Experience Level Senior Level