Lead Software Engr
Honeywell
India
Posted on Dec 23, 2025
Own the technical architecture for mission-critical platforms and data products across one or more portfolios. Provide architectural leadership end-to-end—from product strategy and non-functional requirements to hands-on design of cloud, data, and application layers—ensuring resilient, secure, and scalable solutions. Band-4 architects are accountable for platform/portfolio ownership, driving high-impact BTI/NPI initiatives, and influencing cross-GBE/LOB outcomes.
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.
As a Lead Software Engineer at Honeywell, you will be responsible for providing technical leadership and guidance to a team of software engineers, driving the development of high-quality software solutions.
Must-Have Qualifications
- • Significant senior-level experience architecting cloud, data, and application solutions (typically 10+ years; 3–5+ years in architecture leadership).
- • Deep hands-on expertise in SQL (SQL Server/PostgreSQL/Azure SQL) and data modeling/performance tuning.
- • Strong C#/.NET design skills (ASP.NET Core, microservices, async programming, DI, unit testing).
- • Proven delivery on Microsoft Azure (AKS/Containers, Functions, App Services, Event Hubs/Service Bus, API Management, Key Vault, Monitor/Log Analytics).
- • CI/CD and DevOps leadership (Azure DevOps/Jenkins, Git workflows, pipelines, IaC with Bicep/ARM/Terraform).
- • Solid understanding of systems architecture in Agile contexts; ability to maintain architectural runway and drive non-functional outcomes.
Preferred Qualifications
- • Experience with streaming (Kafka/Event Hubs), NoSQL (Cosmos DB), data lakes/warehouses (ADLS, Synapse, Snowflake), and ETL/ELT (Data Factory, Databricks).
- • Exposure to MLOps (MLflow, Azure ML) and DS toolchains (Python/R), plus model monitoring.
- • Security certifications or hands-on with threat modeling, SAST/DAST, SBOM, and supply-chain security.
- • Certifications: Azure Solutions Architect Expert, DP-203 (Azure Data Engineer), Azure DevOps Engineer Expert.
Core Competencies (Band-4)
- • Architectural leadership at portfolio/platform scale; sets guardrails and guides multiple product teams.
- • Systems thinking & business acumen; ties architecture choices to measurable business impact (BTI/NPI).
- • Communication & influence; crisp narratives and artifacts (roadmaps, ADRs, blueprints, diagrams).
Key Responsibilities
Architecture & Strategy
- • Define and evolve target architectures for cloud-native applications and data platforms, aligning to business OKRs, non-functional requirements (availability, latency, cost, security), and runway for upcoming epics.
- • Lead platform/portfolio architecture governance (reference architectures, ADRs, standards, guardrails) across multiple products/teams at Band-4 scope.
Cloud & DevOps
- • Design and lead implementation of solutions on Microsoft Azure (IaaS/PaaS/SaaS)—including API management, container platforms, serverless, identity, monitoring, and cost optimization.
- • Establish CI/CD pipelines, environment strategy, and release orchestration; guide teams on IaC, secrets management, and automated quality gates (security, performance, SLOs).
Data Engineering & Data Science
- • Architect data platforms and pipelines (batch/streaming) with strong SQL fundamentals: dimensional modeling, normalization/denormalization, performance tuning, indexing, partitioning.
- • Enable Data Science at scale: feature stores, experiment tracking, reproducible pipelines, and MLOps (deployment/monitoring/rollback of ML models).
- • Partner with DS teams on problem framing, model operationalization, and guardrails (bias, explainability, data privacy).
Application Architecture (C#/.NET)
- • Lead design for C#/.NET microservices and distributed systems (REST/gRPC, messaging, event-driven architectures), ensuring observability, resiliency patterns (circuit breakers, retries), and zero-downtime deployments.
- • Guide modernization (from monoliths to microservices), domain-driven design, and API/product thinking.
Security, Compliance & Quality
- • Embed DevSecOps practices; ensure threat modeling, secure SDLC, vulnerability remediation, and compliance (GDPR, SOC2, ISO).
- • Drive architectural reviews and critical design reviews; uphold testing strategy (unit/integration/perf/chaos) aligned to non-functional requirements.
Leadership & Stakeholder Management
- • Mentor architects/engineers; build communities of practice and raise the bar on engineering excellence.
• Translate complex tech decisions into business outcomes; influence product, program, and executive stakeholders.