Engineering Manager – HealthTech Platform
Unknown
Job Description
Important: Prior experience in HealthTech, InsurTech, Healthcare SaaS, ClaimsTech, or Healthcare Data Platforms is preferred.
About the Client: Our client is a fast-growing HealthTech company building next-generation healthcare infrastructure platforms that connect insurers, hospitals, diagnostics providers, healthcare networks, and digital health applications. The organization is focused on transforming fragmented healthcare workflows into seamless, data-driven, and digitally connected experiences through scalable technology solutions.
About the Role: We are seeking a highly motivated Engineering Manager to lead multiple engineering squads responsible for building scalable, secure, and high-performance healthcare infrastructure platforms. The ideal candidate will have a strong background in backend engineering, distributed systems, cloud-native architectures, healthcare data platforms, and people management.
This individual will play a pivotal role in building next-generation solutions for healthcare interoperability, provider connectivity, healthcare data exchange, automated claims adjudication, and AI-driven workflow orchestration. The role requires driving engineering excellence, mentoring teams, influencing architecture decisions, and ensuring timely delivery of business-critical initiatives.
Key Responsibilities:
- Lead and mentor a team of software engineers, technical leads, and architects while fostering a culture of ownership, accountability, and engineering excellence.
- Drive the architecture, design, and development of scalable, secure, and high-performance healthcare technology platforms.
- Lead the design and implementation of distributed systems, microservices architectures, APIs, and cloud-native applications.
- Build and scale healthcare data platforms that enable seamless interoperability across insurers, hospitals, diagnostics providers, and digital health ecosystems.
- Drive the development of automated claims adjudication, workflow automation, and intelligent decision-support systems.
- Collaborate with Product, Business, and Customer Success teams to translate business requirements into scalable technical solutions and delivery roadmaps.
- Lead the adoption of AI-driven workflows, orchestration platforms, and intelligent automation solutions to improve operational efficiency and customer experience.
- Ensure timely and predictable delivery of product releases while maintaining high standards of quality, reliability, and security.
- Establish and enforce engineering best practices across software development, architecture, code quality, testing, CI/CD, DevOps, and platform operations.
- Oversee cloud infrastructure, observability, monitoring, performance optimization, and operational excellence across the technology stack.
- Partner with senior leadership to define technology strategy, engineering priorities, and long-term platform roadmap.
- Support hiring, performance management, career development, and retention of top engineering talent while building a high-performing and scalable engineering organization.
Required Qualifications & Experience:
- 12+ years of software engineering experience.
- 3+ years of experience managing engineering teams.
- Experience leading teams of 10–30 engineers across multiple product streams.
- Proven experience delivering enterprise-grade SaaS platforms.
- Strong experience with distributed systems, microservices, APIs, cloud-native architectures, and modern data platforms.
- Experience building workflow automation, business process orchestration, or decisioning systems.
- Exposure to AI/ML-powered applications, intelligent automation, or data-intensive platforms will be an advantage.
Required Skills
Similar Jobs
View all →
Senior Data Engineer (GCP)
Pixeldust Technologies
Senior AI Engineer - CB
Radial Inc.
ML Engineer
Themesoft Inc.
AI Platform Engineer / Senior Consultant Specialist
HSBC
Senior AI Engineer
Recykal.com
Share
Quick Apply
Upload your resume to apply for this position