Honeywell is seeking a talented Software Engineer II to join our Software Engineering team. In this role, you will design, develop, test, and support scalable enterprise applications and AI-driven solutions while collaborating with global cross-functional teams. The ideal candidate should have strong expertise in ReactJS, Python, Django, Golang, Database Administration, and LLM/AI development.
Your role will also include overseeing, supervising, and reviewing tasks performed by team members to ensure effective execution of work; managing end‑to‑end processes and projects for both internal and external clients with responsibility for timely and accurate delivery; issuing clear instructions and directions to team members on tasks to be performed; and mentoring and guiding junior colleagues to support their skill development, professional growth, and overall success
Responsibilities- Design, develop, and maintain full-stack applications using ReactJS, Python, and Django.
- Build and optimize RESTful APIs, microservices, and backend services using Python and Golang.
- Develop scalable and secure web applications following Honeywell engineering standards.
- Design, administer, and optimize relational and NoSQL databases.
- Implement AI/ML and Generative AI solutions leveraging Large Language Models (LLMs), RAG architectures, and AI agents.
- Collaborate with product managers, architects, cybersecurity, and DevOps teams to deliver high-quality software.
- Participate in code reviews, design discussions, and technical planning.
- Troubleshoot production issues and drive continuous improvement initiatives.
- Develop automated unit, integration, and performance tests.
- Ensure software quality, security, scalability, and maintainability.
- Your role will also include overseeing, supervising, and reviewing tasks performed by team members to ensure effective execution of work; managing end‑to‑end processes and projects for both internal and external clients with responsibility for timely and accurate delivery; issuing clear instructions and directions to team members on tasks to be performed; and mentoring and guiding junior colleagues to support their skill development, professional growth, and overall success
Qualifications
Required Qualifications
- Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
- 3–6 years of experience in software development.
- Strong proficiency in ReactJS, JavaScript/TypeScript, HTML5, and CSS3.
- Hands-on experience with Python and Django Framework.
- Experience developing applications/services using Golang.
- Solid understanding of database design, performance tuning, indexing, backup, and recovery.
- Experience with PostgreSQL, MySQL, SQL Server, MongoDB, or similar databases.
- Knowledge of cloud platforms such as Azure, AWS, or GCP.
- Familiarity with Git, Docker, Kubernetes, and CI/CD pipelines.
- Strong understanding of design patterns, microservices architecture, and Agile methodologies.
Preferred Qualifications
- Experience with Azure OpenAI, OpenAI, LangChain, LlamaIndex, Vector Databases, Semantic Search, and RAG frameworks.
- Experience building AI-powered enterprise applications.
- Knowledge of MLOps and model deployment practices.
- Exposure to manufacturing, industrial software, IoT, or connected product ecosystems.
- Strong problem-solving and analytical skills.
Skills Required
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field
- 3-6 years of experience in software development
- Strong proficiency with ReactJS, JavaScript or TypeScript, HTML5, and CSS3
- Hands-on experience with Python and Django
- Experience developing applications or services using Golang
- Understanding of database design, performance tuning, indexing, backup, and recovery
- Experience with PostgreSQL, MySQL, SQL Server, MongoDB, or similar databases
- Knowledge of Azure, AWS, or GCP
- Familiarity with Git, Docker, Kubernetes, and CI/CD pipelines
- Understanding of design patterns, microservices architecture, and Agile methodologies
- Experience with Azure OpenAI, OpenAI, LangChain, LlamaIndex, vector databases, semantic search, and RAG frameworks
- Experience building AI-powered enterprise applications
- Knowledge of MLOps and model deployment practices
- Exposure to manufacturing, industrial software, IoT, or connected product ecosystems
- Strong problem-solving and analytical skills






