Senior Software Engineer

Role

Senior Software Engineer on the ITG Accelerated Technologies (AT) and DT&I teams building platforms and services to support clinicians and patient care. The engineer will design and implement scalable distributed systems, produce high-quality reusable code, and help drive DevOps and deployment automation.

Key Responsibilities

• Develop, test, and deploy software and data products for healthcare use cases.
• Act as a technical expert across integrations, including requirements gathering, design, development, and testing.
• Design scalable distributed software and clearly communicate architectures (C4 model).
• Produce modular, reusable code following best practices and mentor less experienced engineers.
• Design and execute DevOps strategies, including CI/CD and automated deployment frameworks.
• Create enterprise-level system documentation: use cases, architecture, service mapping, consumer guides, SLAs, and non-functional specifications.
• Lead troubleshooting, provide on-call support, and escalate product issues and risks appropriately.
• Drive adoption of testing methodologies and engineering standards.
• Participate in hiring, interviewing, vendor relations, and contract negotiation as needed.

Requirements

• Bachelor’s degree required; Master’s preferred.
• 5+ years of relevant experience.
• Strong application development skills with ReactJS, TypeScript, and Python.
• Experience with cloud development technologies, especially Google Cloud Platform and AI.
• Proficiency in multiple languages including Python, SQL, and JavaScript.
• Data engineering experience: ingesting, transforming, and feature engineering data for ML.
• Deep understanding of streaming and event-driven architectures and REST-based API design.
• Experience with DevOps practices and tools; design and maintain CI/CD pipelines.
• Extensive experience with container platforms such as Docker, Kubernetes, OpenShift, and Cloud Run.
• Experience with container and application monitoring tools (Cloud Monitoring, SysDig, Datadog, AppDynamics, New Relic, Nagios, Zabbix).
• Familiarity with Linux command line, distributed version control, and database interrogation/SQL.
• Experience with Service Oriented Architecture (SOA), Agile/Scrum, Lean Product Development, and Domain Driven Design.
• Experience with AI-assisted tooling (e.g., GitHub Copilot, Lovable.dev, v0.dev, bolt.new) is required.
• Healthcare domain experience is preferred.

Notes

This summary removes recruiting boilerplate and benefits detail; candidate should expect mentoring, cross-functional collaboration, and occasional on-call responsibilities.