Senior Software Engineer - Reltio

Wipro Enterprises; Bengaluru; On-site; INR 1,500,000 - 2,600,000; Full time

Benefits offered by this job

Relocation assistance provided

Job summary

GE Healthcare is seeking a Senior Software Engineer - Reltio to drive the technical direction of our enterprise MDM and healthcare data platforms. You will implement, configure, and test cloud-native MDM apps, ensuring scalability and performance across platforms.

You will lead API development, real-time data integrations, and multi-tenant SaaS workflows, while guiding junior engineers and aligning with DevOps practices. This role emphasizes security, data modeling, and full-stack contributions.

Qualifications

• You have a degree in computer science or software engineering.
• 5+ years of software engineering experience with at least 2 years on the Reltio MDM platform.
• Expertise in API development, RESTful services, and event-driven architectures.
• Experience with cloud platforms (AWS/Azure/GCP) and cloud-native stacks.
• Proficient in Java and Python, with strong data modeling skills.
• Familiar with CI/CD, DevOps practices, and microservices architectures.

Responsibilities

• Lead the development and configuration of enterprise MDM solutions using Reltio.
• Define API strategies, real-time data integrations, and streaming interfaces.
• Implement and optimize MDM workflows in multi-tenant SaaS environments.
• Develop JSON configurations, crosswalk mappings, and queries for Reltio data stores.
• Drive CI/CD pipelines and tenant configuration migration across environments.
• Support edge computing and embedded systems data ingestion.
• Contribute to full-stack development from UI to data pipelines.
• Integrate ML capabilities, tuning match rules and merge criteria.
• Build microservices and event-driven data connectors (Kafka, SQS).
• Ensure HIPAA/HITRUST-compliant security and secure transport protocols.

Skills

API Development

RESTful APIs

Cloud Technology

Java

Python

NoSQL Databases

Relational Databases

CI/CD

DevOps

Microservices

ML Integration

OOP Principles

Data Modeling

Kafka

SQS

Reltio MDM

Education

Bachelor's or Master's in Computer Science/Software Engineering

Tools

Reltio MDM

Kafka

SQS

Job description

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.

Job Description

You will be responsible for developing, configuring, and testing complex, cloud-native master data management (MDM) applications, ensuring scalability, reliability, and performance across various platforms.

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 Reltios 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

• Bachelors or Masters 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.

Additional Information

Relocation Assistance Provided: Yes