Software Engr II

Honeywell Honeywell · Industrial · Bengaluru, Karnataka, India

Seeking a Senior Software Engineer with full-stack .Net and Angular experience to develop software solutions. Responsibilities include overseeing team tasks, managing projects, mentoring junior colleagues, designing and implementing applications, database management, testing, debugging, and collaborating with cross-functional teams. The role requires experience with AI-assisted development tools, understanding of AI-powered code analysis, basic knowledge of LLM capabilities, and the ability to integrate AI/ML APIs.

What you'd actually do

  1. overseeing, supervising and reviewing tasks performed by team members to ensure effective execution of work
  2. managing end‑to‑end processes and projects for both internal and external clients with responsibility for timely and accurate delivery
  3. issuing clear instructions and directions to team members on tasks to be performed
  4. mentoring and guiding junior colleagues to support their skill development, professional growth, and overall success
  5. Design and implement robust, scalable, and maintainable applications using .NET for the backend and Angular for the frontend.

Skills

Required

  • .Net
  • Angular
  • web api
  • sql
  • C#
  • Database
  • Software Development Life Cycle
  • AI-assisted development tools
  • AI-powered code analysis
  • LLM-based application capabilities
  • integrate or consume AI/ML-powered APIs
  • problem-solving skills
  • engineering principles
  • communication skills
  • interpersonal skills
  • Agile development methodologies
  • cyber security
  • secure coding practices

Nice to have

  • NoSQL databases
  • design patterns
  • solid principles

What the JD emphasized

  • Minimum of 3 years of experience in .Net and Angular,web api,sql
  • Strong proficiency in C# , Angular and Database following Software Development Life Cycle
  • Experience using AI-assisted development tools (e.g., GitHub Copilot, Visual Studio IntelliCode, code-generation tools) to enhance productivity.
  • Understanding of AI-powered code analysis, refactoring, and optimization recommendations.
  • Basic understanding of LLM-based application capabilities, including prompting, fine-tuning, and constraints.
  • Ability to integrate or consume AI/ML-powered APIs (e.g., Azure AI Services, Cognitive Services, OpenAI APIs).