The Role
Design, develop, and deploy scalable enterprise applications using .NET, ReactJS, Python, APIs, and microservices. Build CI/CD pipelines and infrastructure automation with Ansible, and manage containerized applications on Kubernetes. Integrate generative AI and LLM capabilities using orchestration frameworks such as LangGraph and LangSmith. Ensure application security, reliability, scalability, and performance while collaborating on architecture and mentoring junior engineers.
Summary Generated by Built In
We are seeking an experienced Advanced Software Engineer with strong expertise in full-stack application development, cloud-native technologies, DevOps automation, and Generative AI. The ideal candidate will play a key role in designing, developing, and deploying scalable enterprise applications while driving innovation through AI-powered solutions.
Responsibilities- Design, develop, and maintain enterprise-grade applications using .NET, ReactJS, and Python.
- Build scalable, secure, and high-performance APIs and microservices architectures.
- Develop modern, responsive user interfaces using ReactJS and related frontend technologies.
- Implement CI/CD pipelines and infrastructure automation using Ansible.
- Deploy, manage, and optimize containerized applications on Kubernetes platforms.
- Collaborate with architects, product owners, and cross-functional teams to deliver business-critical solutions.
- Integrate Generative AI and LLM-based capabilities into enterprise applications.
- Develop and maintain AI-driven workflows using LangGraph, LangSmith, and modern AI orchestration frameworks.
- Ensure application reliability, scalability, security, and performance through best engineering practices.
- Mentor junior engineers and contribute to technical design reviews and solution architecture.
- 6-9 years of experience in software engineering and application development.
- Strong hands-on experience with .NET Core/.NET Framework, C#, and REST APIs.
- Expertise in ReactJS, JavaScript/TypeScript, HTML5, and CSS.
- Strong programming skills in Python.
- Experience implementing Infrastructure as Code and automation using Ansible.
- Hands-on experience with Docker and Kubernetes in production environments.
- Knowledge of cloud platforms such as Azure, AWS, or GCP.
- Experience designing and developing microservices architectures.
- Strong understanding of software design patterns, security best practices, and DevOps methodologies.
Preferred Qualifications
- Experience with OpenAI, Azure OpenAI, Anthropic, or other LLM platforms.
- Hands-on experience with LangChain, LangGraph, LangSmith, RAG, AI Agents, and Prompt Engineering.
- Exposure to MLOps, vector databases, and AI application deployment.
- Experience leading technical initiatives and mentoring engineering teams.
About UsHoneywell 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.
Skills Required
- 6-9 years of experience in software engineering and application development
- Hands-on experience with .NET Core or .NET Framework, C#, and REST APIs
- Expertise in ReactJS, JavaScript or TypeScript, HTML5, and CSS
- Strong programming skills in Python
- Experience implementing Infrastructure as Code and automation using Ansible
- Hands-on experience with Docker and Kubernetes in production environments
- Knowledge of cloud platforms such as Azure, AWS, or GCP
- Experience designing and developing microservices architectures
- Strong understanding of software design patterns, security best practices, and DevOps methodologies
- Experience with OpenAI, Azure OpenAI, Anthropic, or other LLM platforms
- Hands-on experience with LangChain, LangGraph, LangSmith, RAG, AI Agents, and Prompt Engineering
- Exposure to MLOps, vector databases, and AI application deployment
- Experience leading technical initiatives and mentoring engineering teams
Honeywell Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Honeywell and has not been reviewed or approved by Honeywell.
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Retirement Support — Retirement benefits are anchored by a strong 401(k) match with clear vesting and annual funding mechanics. Plan administration and education resources further reinforce long‑term savings support.
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Leave & Time Off Breadth — Time away provisions include company holidays, flexible vacation for many exempt roles, and paid sick time. These policies contribute meaningful breadth beyond base pay.
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Parental & Family Support — Paid parental leave is available to all parents with flexible usage options, and certain family‑building supports are included. Birth mothers can coordinate leave with short‑term disability for extended coverage.
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The Company
What We Do
Honeywell is a Fortune 500 company that invents and manufactures technologies to address tough challenges linked to global macrotrends such as safety, security, and energy. With approximately 110,000 employees worldwide, including more than 19,000 engineers and scientists, we have an unrelenting focus on quality, delivery, value, and technology in everything we make and do.
