The Senior Software Engineer will focus on AI-based automation, CI/CD modernization, DevSecOps tool integration, mentoring team members, and ensuring project delivery 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
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 guidance to team members on assigned tasks; and mentoring and guiding junior colleagues to support their skill development, professional growth, and overall success
ResponsibilitiesKEY 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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