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Manager, Software Engineering at Fortive

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

11 Feb, 26

Salary

0.0

Posted On

13 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Healthcare Regulations, Secure Coding Practices, Agile Methodologies, DevOps, Mentoring, Cloud-Native Development, AI Integration, Predictive Analytics, AI Model Lifecycle Management, Interoperability Standards, Disaster Recovery, Stakeholder Management, Microservices, Containers, CI/CD, Business Continuity Planning

Industry

electrical;Appliances;and Electronics Manufacturing

Description

1. 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. Skilled in mentoring, recruiting, and retaining top engineering talent. Strong communication and stakeholder management across clinical, regulatory, and executive teams. 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. Bachelor's or Master's 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. 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.

Responsibilities

The manager will oversee engineering efforts to align with business goals while managing complex project lifecycles. They will also be responsible for mentoring and retaining top engineering talent.