We are seeking a Senior Software Engineer with strong GenAI and DevOps engineering experience. You will contribute to CI/CD modernization, intelligent automation, AI‑based impact analysis, infrastructure‑as‑code, platform engineering, and reliability improvements across our development ecosystem.

KEY RESPONSIBILITIES

• Build and extend AI‑based automation including impact analysis, code intelligence, and workflow agents.
• Enhance and maintain GitHub‑based CI/CD pipelines, reusable workflows, and secure artifact release processes.
• Implement DevSecOps tooling integrations (SAST, SCA, security gates, build quality controls).
• Contribute to developer enablement tools like CoPilot, MCP integrations, build systems, and automation frameworks.
• Support cloud‑based infrastructure automation (IaC, GitOps, Azure environments).
• Collaborate cross‑functionally to deliver deliverables on schedule.
• Ensure strong documentation, maintainability, and adherence to Honeywell engineering standards.

YOU MUST HAVE

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 5+ years of software engineering experience.
• Strong experience with GitHub Actions, ArgoCD, and DevSecOps tools.
• Working knowledge of GenAI for automation – LLMs, code intelligence, AI workflows, AI Agents/ Tools creation.
• Extensive knowledge in Python
• Skilled in creating and launching tailored AI Agents, MCP servers.
• Cloud experience (Azure preferred along with Vertex AI) and familiarity with containers.

WE VALUE

• Experience with infrastructure‑as‑code (Terraform).
• Observability stack exposure (Grafana, ELK, metrics pipelines).
• Prior involvement in large‑scale DevOps modernization initiatives.
• Strong problem-solving and troubleshooting skills.
• Familiarity with security and compliance standards in software development.
• Excellent communication and collaboration skills.
• Experience with LLM Orchestration
• Experience with creating AI tools/agents using LangGraph

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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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As a Software Engr II here at Honeywell, you will design, develop, and maintain software applications, collaborate with cross-functional teams, and ensure timely project completion. Impact innovative solutions driving efficiency and productivity.You will report directly to our [Title] and you’ll work out of our [City, State] location on a [Hybrid, On-site, Remote] work schedule.

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We are seeking a Senior Software Engineer with strong GenAI and DevOps engineering experience. You will contribute to CI/CD modernization, intelligent automation, AI‑based impact analysis, infrastructure‑as‑code, platform engineering, and reliability improvements across our development ecosystem.

KEY RESPONSIBILITIES

• Build and extend AI‑based automation including impact analysis, code intelligence, and workflow agents.
• Enhance and maintain GitHub‑based CI/CD pipelines, reusable workflows, and secure artifact release processes.
• Implement DevSecOps tooling integrations (SAST, SCA, security gates, build quality controls).
• Contribute to developer enablement tools like CoPilot, MCP integrations, build systems, and automation frameworks.
• Support cloud‑based infrastructure automation (IaC, GitOps, Azure environments).
• Collaborate cross‑functionally to deliver deliverables on schedule.
• Ensure strong documentation, maintainability, and adherence to Honeywell engineering standards.

YOU MUST HAVE

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 5+ years of software engineering experience.
• Strong experience with GitHub Actions, ArgoCD, and DevSecOps tools.
• Working knowledge of GenAI for automation – LLMs, code intelligence, AI workflows, AI Agents/ Tools creation.
• Extensive knowledge in Python
• Skilled in creating and launching tailored AI Agents, MCP servers.
• Cloud experience (Azure preferred along with Vertex AI) and familiarity with containers.

WE VALUE

• Experience with infrastructure‑as‑code (Terraform).
• Observability stack exposure (Grafana, ELK, metrics pipelines).
• Prior involvement in large‑scale DevOps modernization initiatives.
• Strong problem-solving and troubleshooting skills.
• Familiarity with security and compliance standards in software development.
• Excellent communication and collaboration skills.
• Experience with LLM Orchestration
• Experience with creating AI tools/agents using LangGraph