Bengaluru, Karnataka, India
Get Well is seeking a visionary and technically adept Staff Software Engineer to architect, design, develop, and optimize our cloud-native healthcare platform while driving the adoption of AI-First and AI-Augmented Software Engineering practices.
This role is pivotal in shaping the future of software development at Get Well by combining deep technical expertise with modern AI-assisted engineering workflows. As we evolve toward an AI-First engineering organization, this leader will champion the use of Generative AI, AI development assistants, and Agentic AI to improve developer productivity, software quality, and engineering velocity.
The ideal candidate brings deep expertise in software architecture, cloud-native application development, AI-enabled engineering, and distributed systems. This role provides technical leadership across multiple engineering teams, ensuring high standards for architecture, code quality, reliability, security, and AI adoption. This is a hands-on leadership role where strategic thinking meets deep engineering execution within a complex healthcare environment.
This position reports to the Director, Product Development and requires close collaboration with software engineers, AI engineers, product managers, DevOps, QA, and compliance specialists.
- Define and drive the architecture of scalable, distributed healthcare platforms.
- Champion AI-First Software Engineering practices across the development lifecycle.
- Lead the adoption of AI-Augmented Development, including spec-driven development, AI-assisted coding, code reviews, testing, and documentation.
- Establish engineering standards, Cursor/AI coding guidelines, reusable patterns, and governance for responsible AI usage.
- Provide hands-on leadership in architecture, coding, design reviews, debugging, and performance optimization.
- Mentor engineers and foster an engineering culture that embraces continuous learning and AI-driven innovation.
- Design and implement scalable cloud-native services and APIs supporting healthcare interoperability (FHIR, HL7, CDA).
- Build highly available microservices leveraging Kubernetes, Docker, Kafka, cloud-native technologies, and modern data platforms.
- Develop and integrate Agentic AI workflows leveraging enterprise AI platforms and healthcare data.
- Drive adoption of AI-assisted software development workflows to accelerate feature delivery while improving software quality.
- Lead the adoption of Spec-Driven Development, where engineering specifications serve as the foundation for AI-generated implementations.
- Promote the use of AI to generate production-ready code, unit tests, test cases, documentation, and automation artifacts.
- Partner with QA teams to establish AI-assisted development and testing workflows that improve engineering quality.
- Evaluate emerging AI tools and frameworks and define best practices for integrating them into the engineering lifecycle.
- Drive measurable improvements in engineering productivity through responsible AI adoption.
- Partner with Product Management, UX, Clinical teams, AI Engineers, and Platform Engineering to deliver innovative healthcare solutions.
- Collaborate closely with Security, Compliance, QA, and DevOps to ensure secure, reliable, HIPAA-compliant software delivery.
- Promote cross-functional collaboration between Development and QA through shared AI-assisted engineering workflows.
- Lead research, evaluation, and adoption of emerging technologies including Large Language Models (LLMs), Agentic AI, AI copilots, and AI-assisted software engineering.
- Drive continuous improvement of engineering practices through automation and AI.
- Contribute to engineering strategy, architecture standards, and technical roadmaps.
- Bachelor's or Master's degree in Computer Science or related technical discipline.
- 10+ years of software development experience, including 2+ years in a Principal Engineer, Staff Engineer, or equivalent technical leadership role.
- Proven experience building large-scale cloud-native distributed systems using AWS, Azure, Google Cloud, or OCI.
- Strong expertise in Java, Python, Node.js, or Ruby/Rails.
- Deep understanding of microservices, API design, Kubernetes, Docker, messaging systems, and distributed architectures.
- Strong experience with modern frontend frameworks such as React, Vue.js, or Angular.
- Experience building or integrating AI-powered applications using Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), Vector Databases, or AI orchestration frameworks.
- Hands-on experience using AI-assisted development tools such as Cursor, GitHub Copilot, Claude Code, Windsurf, or similar AI coding assistants.
- Strong understanding of software engineering best practices, design patterns, secure coding, and CI/CD pipelines.
- Experience with healthcare interoperability standards such as HL7, FHIR, or CDA.
- Familiarity with HIPAA, healthcare security, and data privacy regulations.
About Get Well:
Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well's award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter.
