Sr Advanced Sw Architect

Honeywell Honeywell · Industrial · Bengaluru, Karnataka, India

This role focuses on architecting and overseeing the AI model lifecycle from experimentation to production deployment, including monitoring performance, drift, and latency. It also involves driving security by design, DevSecOps practices, and cloud-native architectures for complex software systems.

What you'd actually do

  1. Drive "Security by Design" principles throughout the software development life cycle (SDLC).
  2. Lead end-to-end architecture design for complex distributed systems (microservices, cloud-native).
  3. Oversee the AI model lifecycle—from experimentation to production deployment, including monitoring model performance, drift, and latency.
  4. Define and enforce NFRs, including performance, availability, scalability, and resilience.
  5. Set best practices for observability, monitoring, and alerting.

Skills

Required

  • 10-15 years in software engineering
  • 3-5 years in a lead or security architect role
  • OWASP top 10
  • DevSecOps
  • IAM
  • encryption
  • data protection controls
  • Azure, or GCP cloud-native architectures
  • microservices
  • API management
  • distributed systems
  • messaging patterns
  • performance tuning
  • high-availability design
  • translate complex security/architectural concepts into business terms

Nice to have

  • CISSP
  • CISM
  • Azure Certified Solutions Architect

What the JD emphasized

  • Security by Design
  • DevSecOps
  • AI model lifecycle
  • production deployment
  • monitoring model performance, drift, and latency
  • cloud-native architectures
  • compliance (ISO, GDPR, SOC2)

Other signals

  • AI model lifecycle management
  • production deployment
  • monitoring model performance, drift, and latency
  • DevSecOps
  • cloud-native architectures