The Senior Software Engineer will enhance CI/CD pipelines, implement AI-based automation and DevSecOps tools, and support cloud infrastructure automation, ensuring adherence to engineering standards.
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
Responsibilities
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
Qualifications
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
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.
Top Skills
Argocd
Azure
Ci/Cd
DevOps
Devsecops
Elk
Genai
Github Actions
Grafana
Infrastructure-As-Code
Langgraph
Python
Terraform
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