2 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Own the end-to-end architecture of products, cloud platforms, shared services, integrations, deployment models, and AI capabilities.
- Set architectural direction, govern architecture reviews and decision rights, and maintain records of risks, trade-offs, and key decisions.
- Design scalable, resilient, secure, multi-tenant cloud-native systems using distributed systems, microservices, containers, Kubernetes, API-first integration, event-driven integration, and managed or serverless services.
- Define requirements for scalability, availability, performance, disaster recovery, backup and restore, failure testing, service versioning, backward compatibility, and low-downtime deployment.
- Optimize cloud consumption through workload sizing, autoscaling, managed-service selection, FinOps, and cost-performance trade-offs.
- Accelerate delivery through reference architectures, platform services, infrastructure as code, automation, security and quality checks, deployment automation, and observability.
- Lead production readiness, incident learning, technical debt prioritization, platform modernization, systemic risk management, and cross-team dependency resolution.
- Partner with Product Management, Engineering, UX, System Architecture, and Cyber Security to translate business needs into cloud solutions and enterprise integrations.
- Define cloud modernization and AI-enablement roadmaps, prototype generative AI and agentic use cases, and establish responsible AI guardrails.
- Mentor engineers and lead a distributed architecture community through design coaching, reusable guidance, and technical leadership development.
Requirements
- Bachelor's or master's degree in Computer Science, Software Engineering, Information Technology, or a related discipline.
- 12+ years of software engineering experience, including 5+ years in architecture, technical leadership, or solution design roles.
- Experience as a principal or lead architect delivering business-critical enterprise cloud platforms.
- Practical understanding of infrastructure as code, DevSecOps, CI/CD, observability, and disaster recovery.
- Deep expertise in public cloud platforms such as Azure or AWS, distributed systems, microservices, containers and Kubernetes, managed or serverless services, API and event-driven integration, data architecture, security, resilience, and cost optimization.
- Experience with AI-enabled development and architecture, including AI-assisted engineering and hands-on agentic AI integration involving large language models, retrieval-augmented generation, orchestration, tool use, lifecycle management, evaluation, and responsible AI controls.
- Ability to align engineers and senior stakeholders without relying solely on direct authority and communicate architecture trade-offs, investment options, and risk decisions clearly.
- Strong record of managing architecture decisions and technical risk while modernizing live enterprise cloud platforms and introducing new capabilities.
Tech Stack
Categories
About Honeywell
Honeywell is a public industrial technology company that sells aerospace systems, industrial automation, warehouse and building management technologies, and safety and security products to commercial, industrial, and government customers. Its portfolio spans avionics and propulsion, process controls and SCADA, warehouse automation, and IoT software such as Honeywell Forge. The company is headquartered in Charlotte, North Carolina and serves global markets across aviation, energy, logistics, and critical infrastructure.