Senior Engineering Manager (High Priority)         Experience:

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 escalate 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
Leadership Technical
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