Lead Software Engineer

Work You'll Do/Responsibilities

• Lead the architecture and delivery of strategic healthcare technology initiatives spanning real-time data platforms and enterprise AI/ML solutions.
• Guide end-to-end technical design from proof of concept through production, architect scalable cloud-native systems, and partner with cross-functional teams to deliver secure, resilient, and high-impact solutions under tight timelines.
• Own end-to-end technical design from proof of concept through production, including architecture decisions, integration patterns, and nonfunctional requirements.
• Serve as Tech Lead and Architect across a team of engineers, setting technical direction, design standards, and quality expectations.
• Build and oversee RESTful microservices in Python/FastAPI to expose healthcare data and support downstream application and AI use cases.
• Partner with product, engineering, and client stakeholders to align architecture with business goals, delivery timelines, and rapidly changing requirements.
• Drive cross-functional coordination to manage dependencies, risks, and technical trade-offs while maintaining momentum toward production delivery.
• Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management.
• Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes.

Qualifications

• 10+ years of experience designing and delivering enterprise technology solutions, including cloud-native systems, data platforms, or distributed architectures.
• 5+ years of experience architecting and implementing solutions on Google Cloud Platform (GCP), including services such as Pub/Sub, BigQuery, Cloud SQL, or comparable cloud-native technologies.
• 7+ years of experience designing event-driven architectures and scalable real-time data pipelines for high-volume processing.
• 5+ years of experience leading or delivering AI/ML solution architecture, including deployment considerations and integration into enterprise platforms.
• 5+ years of experience building or leading development of RESTful APIs and microservices using Python and frameworks such as FastAPI.
• 7+ years of experience leading technical teams and translating evolving business requirements into production-ready solutions.