Senior Software Engineer - Reltio
About the job
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
- At least 5 years of progressive experience in software engineering, including at least 2 years of hands-on experience configuring, developing, and deploying on the Reltio master data management platform.
- Proven expertise in application programming interface development, including designing Representational State Transfer web services and building event-driven architectures.
- Extensive experience with cloud technology such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform and cloud-native application stacks.
- Strong proficiency in Java, Python, or similar object-oriented programming languages.
- Deep understanding of databasing technologies, including NoSQL databases, relational databases, data warehousing concepts, and complex data modeling.
- Solid experience implementing DevOps practices, infrastructure-as-code principles, and continuous integration and continuous delivery automation tools.
- Familiarity with edge computing and embedded systems architecture principles as they relate to downstream data ingestion.
- Proficiency in full stack development concepts, including handling JSON-based configurations and managing application UI definitions.
- Experience with machine learning integration, matching algorithms, and data cleansing applications.
- Demonstrated expertise implementing microservices architecture and cloud integration patterns.
- Strong understanding of network protocols, data payload serialization, and secure transport standards.
- Mastery of object-oriented programming 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 in leading technical delivery blocks.
- Excellent communication, leadership, and interpersonal skills to collaborate with architects, data stewards, and business analysts.
- Lead the development, configuration, and implementation of enterprise master data management solutions using the Reltio Connected Data Platform.
- Translate complex healthcare data requirements into robust code and configuration files.
- Define and enforce application programming interface development best practices, build real-time data integration endpoints and streaming integrations, and ensure interoperability across healthcare applications.
- Implement and optimize master data management workflows using cloud technology while managing multi-tenant software-as-a-service features and organizational requirements for cost, security, compliance, and performance.
- Develop optimized JSON configurations, handle crosswalk mappings, and structure queries to interact with Reltio's data store.
- Drive adoption of DevOps principles and practices through continuous integration, deployment pipelines, and automated tenant configuration migration across environments.
- Build data syndication logic that enables connected medical devices to consume clean master data.
- Contribute to full stack development from frontend data-steward user interface layouts in the Reltio Console through backend data pipelines and integration layers.
- Integrate machine learning capabilities into software products by configuring and tuning probabilistic match rules, match tokens, and automated merge criteria.
- Develop and evolve microservices architecture by coding modular data connectors and event-driven message streaming handlers such as Kafka and Amazon Simple Queue Service.
- Ensure adherence to network protocols and healthcare security standards, including HIPAA, HITRUST, and secure encryption protocols, across development pipelines.
- Apply object-oriented programming principles to build custom data cleaners, validators, and utility services.
- Execute performance testing strategies, identify application programming interface bottlenecks, optimize batch data loading speeds, and tune match engine runs.
- Participate in software design architecture reviews by presenting code and configuration models.
- Mentor and guide junior data engineers on the team.
- Provide technical leadership and oversight in software project management by breaking architectural requirements into developer tasks and ensuring successful sprint delivery.
About the company
GE Healthcare Systems provides medical technologies and digital infrastructure to improve diagnosis, treatment, and monitoring of patients. Its products include imaging systems, mobile diagnostic devices, patient monitoring tools, and healthcare IT software that work together as hardware, software, and services to support hospitals, clinics, and researchers. The company differentiates itself with a large, integrated ecosystem, strong focus on AI analytics, and a global service network backed by substantial R&D investment. Its goal is to improve patient outcomes and the efficiency of healthcare delivery by enabling accurate diagnoses, effective treatments, and scaled operations.
Company Size
1-10
Company Stage
IPO
Headquarters
Chicago, Illinois
Founded
1892
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Simplify's Take
What believers are saying
- Q2 2026 orders rose 11% and backlog reached a record $23.9 billion.
- CareIntellect for Operations launched September 2026 with Duke Health and Queen's Health Systems.
- CE mark and FDA progress for Photonova Spectra expand 2026-2027 commercial momentum.
What critics are saying
- FDA logged multiple 2026 Class 2 recalls, including AW Server and telemetry systems.
- Patient Care Solutions remained weak in Q2 2026; management is reviewing a sale.
- SOFIE closes only after 2027 regulatory approvals; PET supply integration can slip badly.
What makes GE Healthcare unique
- GE HealthCare combines imaging hardware, radiopharmaceuticals, and workflow software across hospitals.
- Photonova Spectra and Vivid 2026 show premium innovation plus AI-enabled clinical automation.
- SOFIE's 21 cyclotrons extend GE HealthCare into radiotracer manufacturing, not just scanners.
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Benefits
Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
401(k) Retirement Plan
401(k) Company Match
Tuition Reimbursement
Relocation Assistance
Company News
GE HealthCare has agreed to acquire SOFIE Biosciences, a US-based contract manufacturer of PET radiopharmaceuticals, for $945 million in cash. The deal with seller Trilantic North America is expected to close in the first half of 2027, subject to regulatory approvals. SOFIE Biosciences operates 15 contract manufacturing sites with 21 cyclotrons across the US, plus a theranostics-focused development and manufacturing facility. The acquisition establishes GE HealthCare's presence in the time-critical "final mile" of US PET radiopharmaceutical supply. The PET radiopharmaceutical market is expanding rapidly with approximately 20 PET radiotracers and over 30 radiotherapeutics currently under development. SOFIE Biosciences' portfolio includes a Phase III FAPI asset for which GE HealthCare already holds non-US rights. GE HealthCare estimates the transaction will be accretive to revenue growth, earnings margin, and earnings per share in the first full year of ownership.
AsiaMedic has become the first site in ASEAN to implement MR31, GE HealthCare's latest generation MRI platform featuring deep learning technology. The Singapore-based imaging centre is among the earliest adopters in Asia Pacific. MR31 incorporates deep learning technologies that reduce scan times and enable detailed examinations across neurological, musculoskeletal and nerve imaging. Sonic DL for 3D delivers up to 12 times scan acceleration, reducing examination times across brain, spine, orthopaedic and body scans. The platform also supports high-quality prostate MRI imaging. AIR Recon DL Phase Correction provides improved visualisation of clinically significant lesions, whilst high-resolution T2-weighted imaging aids lesion localisation for prostate fusion biopsy planning. Shorter scan times mean reduced patient time in scanners and may help decrease repeat examinations caused by movement.
GE HealthCare Technologies announced a 14% dividend increase for the third quarter of 2026. The company's board declared a cash dividend of $0.04 per share, up from the previous quarter. The dividend will be paid on 13 November 2026 to shareholders of record as of 23 October 2026. GE HealthCare is a global healthcare solutions provider specialising in medical technology, pharmaceutical diagnostics, and AI-enabled software solutions. The company operates a $20.6 billion business with approximately 54,000 employees worldwide, serving the healthcare industry through its Advanced Imaging Solutions, Pharmaceutical Diagnostics, and Patient Care Solutions segments.
GE HealthCare has launched CareIntellect for Operations, an AI-powered software application that helps health systems forecast capacity constraints up to 72 hours ahead. The solution analyses hundreds of patient and operational data points to predict bottlenecks and recommend actions to optimise capacity and throughput. The Queen's Health Systems and Duke Health will be the first to implement the application. It uses two proprietary AI models: the Pressure Forecast model, which predicts resource constraints across hospitals and departments, and the Estimated Day of Discharge model, which predicts when patients will be discharged. The tool addresses operational challenges as US inpatient volumes rose 5.3% in 2025, requiring health systems to manage increased demand whilst facing staffing shortages and rising costs.
GE HealthCare has received CE mark approval for its Photonova Spectra photon-counting computed tomography system, enabling commercial sales in markets recognising CE marking. The clearance follows US Food and Drug Administration approval and Japanese regulatory clearance in March 2026. The system uses GE HealthCare's Deep Silicon detector technology to deliver ultra-high definition spectral and spatial imaging. It processes data volumes up to 50 times greater than conventional CT systems, utilising Nvidia's accelerated computing platform. Clinical collaborations are underway at UZ Brussel in Belgium and Rigshospitalet in Denmark to evaluate the system across cardiology, neurology, oncology and musculoskeletal imaging. The CE mark follows more than $5 billion in innovation investment by GE HealthCare.