Job Description
The Sr Software Engineering Manager is a senior technology leader responsible for shaping engineering strategy, driving cloudnative architectures, delivering highquality software products, and incorporating modern AI/ML capabilities into the engineering ecosystem. This leader will champion intelligent automation, AIpowered development practices, datadriven product intelligence, and MLenabled customer experiences. You will lead multiple engineering teams building scalable, secure, and resilient systems on Azure, GCP, AWS while elevating developer productivity, platform maturity, and AI readiness across the organization. At Honeywell, our approach is simple. We hire talented people, nurture their growth, give them opportunities to make a difference, and promote from within.
Responsibilities
Key Responsibilities
- Engineering & Technical Strategy: Drive the overall engineering vision and modernization roadmap, advance cloudnative architectures, set standards for highquality and secure development, and embed AI/ML practices into engineering processes and product capabilities.
- AI/ML Integration Across Engineering: Collaborate with Data Science and Product to shape the AI strategy, operationalize ML models in production with full lifecycle support, promote AIassisted development practices, build robust MLOps pipelines, and strengthen AIdriven testing and automation.
- Product Engineering & Delivery: Lead delivery of AIenabled and cloudscale features, build scalable APIfirst platforms, ensure strong performance across key delivery KPIs, and use AI telemetry and analytics to enhance product decisions.
- People & Organizational Leadership: Develop and mentor engineering talent, evolve the organization toward AIready and automationcentric practices, foster continuous learning in modern engineering disciplines, and guide adoption of new AI tools and frameworks.
- Platform, Infrastructure, and MLOps: Advance platform engineering through automation and MLready pipelines, extend reliability engineering to ML systems, support scalable cloud infrastructure for data and model workloads, and enforce governance for AI security and responsible use.
- Quality Engineering, Automation & Intelligent Validation: Strengthen shiftleft quality practices, use AIdriven insights and anomaly detection to elevate quality, and define benchmarks that support both traditional software and ML lifecycle requirements.
- Executive Leadership & Stakeholder Management: Communicate technical and AI strategy to executives, partner across product and technology functions, and oversee budgets, cloud spend, vendor relationships, and investment planning for AIdriven initiatives.
Qualifications
- 1218+ years of software engineering experience with 5+ years leading multiple engineering teams.
- Proven experience delivering cloudnative distributed systems on Azure.
- Handson leadership with AI/ML platforms or integrating ML models into production systems.
- Track record of building engineering organizations through periods of architectural transformation. Preferred
- Experience building AIenhanced SaaS or platform products.
- Familiarity with Generative AI, LLMs, RAG architectures, vector databases.
- Experience managing hybrid cloud or edgeAI deployments.
- Exposure to responsible AI frameworks and AI governance.
- Strong background in cloud architecture, microservices, containers, and serverless patterns.
- Practical knowledge of ML frameworks (TensorFlow, PyTorch, Scikitlearn) and data pipelines.
- Experience with MLOps tools (Azure ML, Databricks, MLflow, KubeFlow).
- Proficiency in at least one modern programming language (Python, Go, Java, C#, TypeScript).
- Solid grounding in security, observability, compliance, and scalable distributed system design.
- Inspiring leader with the ability to scale highperforming engineering teams.
- Strong communicator able to influence at all levels including executives and crossfunctional partners.
- Strategic thinker with strong decisionmaking under ambiguity.
- Customercentric mindset with enthusiasm for innovation and emerging technologies, especially AI/ML.
About Us
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.
