Lead Software Engineer

Lead Software Engineer role focused on architecting and delivering strategic healthcare technology initiatives, including real-time data platforms and enterprise AI/ML solutions. Responsibilities include end-to-end technical design, architecting scalable cloud-native systems on GCP, building microservices, and leading technical teams. The role involves designing data pipelines and integrating AI/ML solutions into cloud-native platforms.

What you'd actually do

  1. Lead architecture and delivery of strategic healthcare data and AI/ML initiatives, including real-time health record access and retrieval capabilities.
  2. Design scalable, event-driven data pipelines on Google Cloud Platform (GCP) using services such as Pub/Sub, BigQuery, and Cloud SQL.
  3. Architect and guide enterprise AI/ML solution delivery, including solution design, deployment considerations, and integration into cloud-native platforms.
  4. Own end-to-end technical design from proof of concept through production, including architecture decisions, integration patterns, and nonfunctional requirements.
  5. Serve as Tech Lead and Architect across a team of engineers, setting technical direction, design standards, and quality expectations.

Skills

Required

  • 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.

Nice to have

  • Experience working in an Agile development environment.

What the JD emphasized

  • enterprise AI/ML solutions
  • real-time data platforms
  • Google Cloud Platform (GCP)
  • event-driven architectures
  • RESTful APIs and microservices
  • Python
  • FastAPI
  • leading technical teams

Other signals

  • enterprise AI/ML solutions
  • real-time data platforms
  • Google Cloud Platform (GCP)
  • event-driven architectures
  • RESTful microservices
  • Python/FastAPI