Sr Manager, Software Engineering

Bangalore - India

Monthly Salary: Not Disclosed

Posted on: 13 days ago

Vacancies: 1 Vacancy

Department:

Engineering

Job Summary

Description

Job Summary:

Lead and manage engineering teams to deliver secure scalable and intelligent healthcare SaaS solutions. This role combines strategic leadership with deep technical expertise in cloud-native development healthcare compliance and AI integration. The Senior Manager will drive innovation ensure alignment with organizational goals and foster a high-performing engineering culture.

Key Responsibilities:

1. Technical Leadership & Scalable Architecture

Expertise in cloud-native development (e.g. microservices containers CI/CD).

Ability to architect secure scalable systems that meet healthcare standards like HIPAA HL7 and FHIR.

2. AI Integration & Innovation

Experience integrating AI/ML into SaaS platforms for predictive analytics clinical decision support and operational efficiency.

Familiarity with AI model lifecycle management and cloud platforms (Azure AWS GCP).

3. Healthcare Compliance & Security

Deep understanding of healthcare regulations (HIPAA GDPR FHIR).

Ability to implement secure coding practices and data protection measures.

4. Strategic Execution & Agile Delivery

Proficiency in agile and DevOps methodologies.

Capable of aligning engineering efforts with business goals and managing complex project lifecycles.

5. Team Development & Cross-Functional Collaboration

Skilled in mentoring recruiting and retaining top engineering talent.

Strong communication and stakeholder management across clinical regulatory and executive teams.

Required Qualifications:

Education & Experience

Bachelors or Masters degree in Computer Science Engineering or related field.

10 years in software engineering with at least 5 years in leadership roles.

Proven track record in managing engineering teams and delivering enterprise-grade SaaS solutions.

Experience with AI/ML cloud platforms and healthcare interoperability standards.

Other Preferred Knowledge Skills Abilities or Certifications:

AI Governance & Ethics: Responsible AI practices aligned with healthcare regulations.

Interoperability Expertise: HL7 FHIR and EHR integration leadership.

Cloud Certifications: Azure AWS or GCP architect-level credentials.

GenAI & RAG Experience: Embedding models vector search OpenAI API integration.

AI Observability: Model drift monitoring and pipeline performance tracking.

Disaster Recovery: Business continuity planning for cloud-native systems.

Cross-Functional Influence: Strong collaboration with product clinical and compliance teams.

Required Experience:

Manager

DescriptionJob Summary:Lead and manage engineering teams to deliver secure scalable and intelligent healthcare SaaS solutions. This role combines strategic leadership with deep technical expertise in cloud-native development healthcare compliance and AI integration. The Senior Manager will drive inn...