– Senior Engineering Manager (High Priority) – Experience: 12–20 years – Salary Ra[...]

Angel and Genie; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Angel and Genie is looking for a Sr Engineering Manager based in Karnataka, India. This full-time, on-site role involves leading engineering teams and overseeing the development of scalable AI-driven healthcare products.

The ideal candidate should possess 12+ years of software engineering experience, strong leadership skills, and a background in AI/ML integration. Responsibilities also include project management, communication with cross-functional teams, and fostering an inclusive team culture.

Qualifications

• 12+ years of experience in software engineering, with 3+ years managing teams.
• Proven abilities in delivering complex, distributed systems.
• Hands-on with AI/ML systems integration experience.

Responsibilities

• Lead multiple engineering teams in developing scalable AI-driven healthcare products.
• Drive project execution and coach teams for continuous improvement.
• Communicate technical strategies to non-technical stakeholders.

Skills

Leadership

Project Management

AI/ML Integration

Communication

Cloud Services

Education

Bachelor's or Master's degree in Computer Science or Engineering

Tools

AWS

Docker

Kubernetes

Terraform

Job description

About the Role

This is a full‑time, on‑site Sr Engineering Manager role based in Karnataka, India. The Sr Engineering Manager will lead multiple engineering teams, providing technical direction, mentorship, and performance management to deliver reliable, scalable AI‑driven healthcare products. This role includes working closely with product management, data science, and customer‑facing teams to translate requirements into roadmaps, prioritize backlogs, and ensure timely delivery of features and integrations. The Sr Engineering Manager will oversee end‑to‑end software development, including architecture reviews, coding standards, code reviews, testing practices, and deployment processes. Day‑to‑day responsibilities also include managing project execution, identifying and mitigating risks, improving engineering processes, and fostering a culture of collaboration, inclusion, and continuous improvement.

What You’ll Do

Team Leadership & Org Development

• Lead, mentor, and grow 2-3 engineering teams (15-20 engineers total, including senior ICs, tech leads, and team leads).
• Own hiring, performance management, career development, and succession planning across your org.
• Cultivate a high‑trust, high‑accountability team culture with strong psychological safety and clear expectations.
• Partner with HR and Talent Acquisition to build diverse, inclusive teams.

Delivery & Execution

• Strong Engineering Management and Team Leadership skills, including mentoring, performance management, hiring, and building high‑performing, cross‑functional teams.
• Proven Project Management capabilities, such as roadmap planning, sprint management, risk mitigation, and stakeholder communication in an agile environment.
• Experience with system Integration, including working with third‑party APIs, healthcare platforms, and internal services to deliver end‑to‑end solutions.
• Remove systemic blockers and dependencies; elevate risks proactively with mitigation plans.
• Drive on‑time, high‑quality releases while managing technical debt strategically.
• Excellent communication and collaboration skills, with the ability to work effectively across product, design, data science, and operations teams.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• Track record of driving engineering excellence, including reliability, security, performance, observability, and continuous improvement of development processes.
• Background in AI/ML‑driven products or data‑intensive platforms; experience in healthcare, healthtech, or related regulated domains is highly beneficial.

Technical Strategy & Architecture

• Provide technical oversight and architectural guidance; make build/buy/integrate decisions aligned with long‑term platform strategy.
• Hands‑on Software Development experience with modern technologies, architectures, and best practices, including scalable distributed systems and APIs.
• Champion AI and Agentic AI adoption — from LLM‑powered features to autonomous workflow agents — across product lines.
• Ensure robust data pipelines, analytics platforms, and governance practices that support both real‑time and batch workloads.
• Drive best practices around security, HIPAA/HL7/FHIR compliance, and resilient system design.

Stakeholder & Cross‑Functional Collaboration

• Partner closely with Product, Design, Data Science, QA, DevOps, and Clinical SMEs.
• Represent Engineering in executive forums; translate technical strategy into business language.
• Engage with external partners, vendors, and customers when needed for integration or enterprise deals.

What You Bring

Required Qualifications

• 12+ years of progressive software engineering experience, with at least 3 years managing multiple teams simultaneously.
• Demonstrated track record of shipping complex, distributed systems in a fast‑paced product environment.
• Hands‑on or deep architectural exposure to AI/ML systems and/or Agentic AI frameworks (LangChain, AutoGen, CrewAI, or equivalent).
• Experience with data analytics platforms, data warehousing, and BI tooling (e.g., dbt, Snowflake, Spark, Databricks, Looker, or similar).
• Strong proficiency in at least one major cloud provider (AWS, Azure, or GCP) and familiarity with DevOps/MLOps practices — CI/CD pipelines, containerization (Docker/Kubernetes), and infrastructure‑as‑code (Terraform or equivalent).
• Excellent communication skills — able to influence at all levels from IC engineers to C‑suite executives.
• Experience leading through ambiguity, organizational change, and rapid growth.

Preferred Qualifications

• Experience in Healthcare IT, Digital Health, or Life Sciences — including familiarity with HIPAA, HITECH, and interoperability standards (HL7, FHIR, SMART on FHIR).
• Background in systems integration — EHR/EMR integrations, API gateways, EDI, or enterprise middleware (e.g., MuleSoft, Azure API Management, AWS API Gateway).
• Experience building or scaling AI‑driven clinical decision support, NLP pipelines, or predictive analytics products.
• Exposure to regulatory compliance frameworks relevant to healthcare software (FDA SaMD, SOC 2, ISO 27001).
• An engineering background (BS/MS in CS, CE, or related field preferred, but not required with equivalent experience).

Core Competencies at a Glance

• Multi‑team org design & scaling
• Hiring & performance management
• Executive communication
• Roadmap planning & OKR management
• Engineering culture & DEI
• AI / Agentic AI / LLMs
• Data Engineering & Analytics
• Cloud‑native / Microservices
• Healthcare Interoperability
• Systems Integration & APIs