Senior Engineering Manager

Senior Engineering Manager - Experience: 12–20 years - Salary Range: 30LPA – 50LPA - Key Skills: Software Engineering, People and Performance Management, AI/Agentic AI, Cloud, and DevOps. - Work Arrangement: Hybrid (3 days in office, HSR Bangalore) 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