Key Responsibilities:

Technical Leadership & Strategy
Architect and drive the development of scalable, cloud-native applications supporting healthcare workflows while ensuring compliance, security, and safe handling of sensitive clinical data.
Champion best practices in CI/CD, automated testing, observability, and DevOps.

Team Management & Culture
Lead an engineering squad focused on advancing clinical and diagnostic solutions that measurably improve health outcomes.
Hire, mentor, and grow engineers into strong individual contributors and future leaders while fostering a culture of ownership, collaboration, patient impact, and engineering excellence.

Platform Engineering & Interoperability
Lead development of AI orchestration pipelines, structured reporting tools, clinician-facing dashboards, and supporting APIs, SDKs, and internal tools for rapid prototyping and deployment.
Ensure platform readiness across on-prem, hybrid, and cloud-first deployments (AWS, Outposts).
Lead integration with EMRs, PACS, LIS/LIMS, and healthcare IT standards (HL7, FHIR).

Required Skills & Qualifications:

Technical Expertise




8–12 years of software engineering experience (backend/full-stack), including 2–3 years in engineering management in regulated environments (healthcare, pharma, diagnostics preferred).
Hands-on experience in Full Stack or Backend development with React, Python, and RESTful APIs.
Solid expertise in building cloud-native applications in containerized environments (Docker, AWS preferred).

Domain Understanding
4+ years of experience in life sciences, clinical systems, or diagnostics (oncology preferred).
Exposure to RIS, PACS, EMR/EHR, MDT systems.
Understanding of healthcare compliance frameworks (HIPAA, ISO, MDR), with bonus experience on FDA/CE-marked medical software or SaMD.

Leadership & Communication
Proven ability to lead distributed teams in fast-paced, highly regulated settings.
Excellent stakeholder management and communication skills.
Solid decision-making ability balancing clinical needs, technical complexity, and product vision.

📌 Engineering Manager Life Science Bengaluru
🏢 Qure.ai
📍 Bengaluru