Senior Engineering Manager — IC/Manager Track -12+ years overall experience – familiarity with [...]

Angel and Genie; Bengaluru; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

Angel and Genie is seeking a Sr Engineering Manager in Bengaluru to lead diverse engineering teams in delivering AI-driven healthcare products. This role combines mentorship, project execution, and collaboration with various teams to ensure successful product launches.

The ideal candidate will possess over 12 years of software engineering experience and proficiency in cloud services, along with robust communication skills. This position offers a hybrid work model with flexibility.

Qualifications

• 12+ years of progressive software engineering experience, including 3 years managing multiple teams.
• Proven track record with complex, distributed systems in a fast-paced environment.
• Hands-on experience with AI/ML systems and/or Agentic AI frameworks.

Responsibilities

• Lead multiple engineering teams with technical direction and mentorship.
• Oversee end-to-end software development, ensuring quality and timely delivery.
• Identify and mitigate project risks while improving engineering processes.

Skills

AI/ML systems

Cloud services (AWS, Azure, GCP)

DevOps/MLOps practices

Communication skills

Education

BS/MS in Computer Science or related field

Tools

Docker

Kubernetes

Terraform

Job description

Experience in Healthcare IT, Digital Health, or Life Sciences — including familiarity with HIPAA, HITECH, and interoperability standards (HL7, FHIR, SMART on FHIR).

Hybrid — India (Bangalore) - 3 Days WFO

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.

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).