Sr Advanced SW Architect

As a Senior Advanced Software Architect at Honeywell, you will lead the architecture, design, and evolution of large-scale, cloud-native SaaS applications built on Microsoft Azure. You will be responsible for defining technical strategy, architecture standards, technology roadmaps, and engineering best practices for secure, scalable, resilient, and high-performing enterprise platforms.

The ideal candidate will have 12+ years of overall software industry experience, including 8+ years of hands-on software design and development experience and 5+ years in Software Architect, Solution Architect, or Technical Architect roles. This role requires deep expertise in Azure cloud architecture, .NET Core/C#, microservices, distributed systems, multi-tenant SaaS platforms, AKS/Kubernetes, SQL Server, PostgreSQL, and event-driven architectures using Azure Service Bus, Event Grid, and Event Hub.

As an Architect, you will provide technical leadership across multiple engineering teams, drive architecture governance, evaluate emerging technologies, and ensure alignment between business objectives and technology solutions. You will mentor engineers, lead design reviews, oversee solution quality, and guide modernization initiatives using cloud-native and AI-enabled engineering practices.

The role requires strong expertise in backend technologies, while maintaining a solid understanding of modern frontend frameworks and SPA architectures to effectively guide end-to-end solution design. Experience in DevOps, CI/CD, security-first development, observability, platform engineering, and enterprise integration patterns is highly desirable.

Additionally, the successful candidate will champion the adoption of AI-assisted software engineering practices, including the use of developer productivity tools, AI-powered coding assistants, and emerging AI Agent frameworks to accelerate software delivery, improve quality, and drive innovation.

You will report to the Engineering Manager and work from Bangalore, India, in a hybrid work environment.

Responsibilities

Key Responsibilities

· Define architecture and technical strategy for cloud-native Azure SaaS platforms.

· Lead solution design, architecture reviews, and technical governance across multiple product teams.

· Design scalable microservices, APIs, event-driven systems, and multi-tenant SaaS architectures.

· Drive adoption of Azure cloud-native services, AKS, containerization, and modern engineering practices.

· Ensure application scalability, performance, reliability, security, and operational excellence.

· Mentor engineers and architects while fostering engineering excellence and innovation.

· Collaborate with Product Management, Engineering Leadership, and cross-functional stakeholders.

· Lead PoCs, technology evaluations, modernization initiatives, and architecture roadmap planning.

· Champion AI-assisted development practices and explore opportunities to leverage AI Agents in engineering workflows.

Qualifications

Nice-to-Have Skills

· Azure OpenAI, Azure AI Services, Semantic Kernel, LangChain, or similar AI frameworks.

· Infrastructure as Code (Terraform, Bicep).

· Application Insights, OpenTelemetry, Grafana, Prometheus, and observability platforms.

· Experience in Physical Security, PSIM, Building Automation, or Connected Buildings domains.

· Azure Architect Expert, Kubernetes, or Cloud Architecture certifications.

· Experience leading globally distributed engineering teams and large-scale modernization programs.

About UsHoneywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world’s most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial and process sectors with a broad portfolio of services, solutions and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector’s transition from automation to autonomy.