Manager - Software Engineering

Manager – Software Engineering (Full Stack, AI-First) 

Location: Bangaluru, India (Hybrid) 
Experience: 10–15 years 

Role Type: Hybrid – Hands-on + People Leadership 
Domain: Healthcare Technology (Oncology / Clinical Platforms) 

We are looking for a Manager of Software Engineering to lead high-impact product and platform engineering teams building scalable healthcare applications. 

This is a hybrid leadership role requiring: 

• Strong technical depth in full-stack development (Java + Spring Boot + React) 

• Hands-on involvement in architecture and critical engineering decisions 

• Proven people leadership — hiring, mentoring, and scaling high-performing teams 

You will also lead teams in an AI-first engineering culture, where tools like GitHub Copilot and Windsurf are used to improve speed and developer productivity — without compromising quality, maintainability, or security. 

Key Responsibilities 

Engineering Leadership (Core Responsibility) 

• Lead and grow a team of 5–8 engineers across backend and frontend areas 

• Drive delivery of high-quality, production-grade software aligned with business goals 

• Own team execution: 

• Sprint commitments 

• Risk management 

• Delivery predictability 

• Establish strong engineering culture: 

• Accountability 

• Ownership 

• Clean code practices 

• Design discipline 

Technical Leadership (Non-Negotiable) 

• Actively participate in: 

• System design and architecture decisions 

• API design and microservices standards 

• Code reviews for critical components 

• Guide teams on: 

• Java + Spring Boot microservices architecture 

• Event-driven systems (Kafka or equivalent) 

• Scalable frontend design using React + TypeScript 

• Ensure systems meet expectations for: 

• Scalability 

• Performance 

• Security (especially PHI/PII handling) 

• Reliability 

This is NOT a “review PPT and attend meetings” role. If you can’t deep-dive into code/design when needed, you will struggle. 

AI-First Engineering Leadership 

• Drive adoption of AI tools (Copilot, Windsurf) across engineering teams to: 

• Improve engineering velocity 

• Reduce boilerplate work 

• Accelerate testing and documentation 

• Establish guardrails for AI usage: 

• No blind copy-paste from AI-generated code 

• Mandatory validation for correctness, security, and performance 

• Encourage AI-assisted testing and debugging 

• Ensure teams build: 

• Well-structured APIs and systems that are AI-consumable 

• Observable systems (logs, metrics, traces) that enable intelligent diagnostics 

Talent Management  

• Hire strong engineers in a highly competitive India market 

• Build a high-performance culture (not just high headcount) 

• Mentor engineers across levels: 

• Technical growth (design, coding, debugging) 

• Career progression 

• Ownership mindset 

• Handle: 

• Performance management 

• Low performance correction 

• Offshore/onshore collaboration 

Delivery & Execution Excellence 

• Own end-to-end delivery across: 

• Backend services 

• APIs 

• UI integrations 

• Data flows 

• Enforce: 

• CI/CD discipline 

• Testing rigor (unit + integration) 

• Release quality standards 

• Partner with: 

• Product Managers 

• QA teams 

• DevOps / Platform teams 

Minimum Requirement

Degree or equivalent experience.

Must-Have Skills

Technical 

• 10–15 years of software engineering experience 

• Strong hands-on experience with: 

• Java + Spring Boot (microservices, REST APIs) 

• React.js + TypeScript 

• Experience with: 

• Distributed systems / microservices architecture 

• SQL databases (Oracle/Postgres) 

• Event-driven systems (Kafka or similar) 

• Strong debugging and production issue handling skills 

Leadership 

• 3–5 years of engineering management experience 

• Proven track record of:  

• Hiring strong engineers 

• Managing and mentoring teams 

• Delivering complex projects 

AI-First Expectations (Non-Negotiable) 

Candidates must demonstrate: 

• Practical use of AI coding assistants in development workflow 

• Ability to review, validate, and production-harden AI-generated code 

• Enforce engineering discipline in an AI-assisted environment 

If someone treats AI as autocomplete and not as a productivity and innovation multiplier with accountability — they won’t fit. 

Good-to-Have Skills 

• Healthcare domain experience 

• Familiarity with:  

• FHIR / HL7 / C-CDA standards 

• HIPAA compliance and PHI/PII handling 

• Experience with:  

• Databricks / data pipelines 

• Elasticsearch / Redis 

• Docker / Kubernetes 

What Success Looks Like 

• Team consistently delivers high-quality, production-ready features  

• Strong engineering culture with low defect leakage and high ownership  

• Engineers effectively use AI to move faster without lowering standards  

• Systems built are:  

• Scalable 

• Observable 

• Reusable 

Why Join Us 

• Build real-world healthcare systems impacting patient outcomes 

• Work on modern architecture + AI-driven engineering workflows 

• Opportunity to shape engineering culture and standards at scale