Honeywell
Website:
honeywell.com
Job details:
Job Description
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.
Qualifications
- 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 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.
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