Development and Operations Engineer
- Productivity Tooling Automation: Partner with divisional software engineering teams to design, automate, and deploy core tools aimed at measuring and optimizing the end-to-end software development lifecycle (SDLC).
- AI-PDLC Platform Governance: Maintain and optimize cloud-native toolchains across a unified environment, directly executing the operational transition to an AI-Product Development Lifecycle (AI-PDLC) framework with zero operational gaps.
- Engineering Performance Metrics: Instrument, track, and report on global engineering metrics utilizing industry-standard delivery and experience signals (DORA and SPACE frameworks) to quantify feature velocity and tool ROI.
- Standardized Dashboards: Build automated visualization workflows and metrics dashboards (via Domo) to capture key adoption trends, including the percentage of AI-generated code rewritten and active code in production.
- Intelligent Support Workflows: Automate administrative platform infrastructure and develop AI-influenced self-service ticketing paths and virtual agents within Jira Service Management and FreshService.
- Shift-Left Security Compliance: Collaborate with cybersecurity teams to protect product environments by embedding automated shift-left security controls via toolsets like Trufflehog, Mend, and Wiz.
- Advanced Code Validation: Support exploratory validation pipelines, including AI-generated bill-of-materials (AIBOM) scanning to audit code generated by AI coding assistants.
- Global Ecosystem Liaison: Act as a central hub between E-Tools and engineering business units across 40+ countries to drive central feature adoption and deprecate localized plugins.
- Education & Experience: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technology discipline, with 1 to 3 years of experience in cloud environments and scalable SaaS architectures.
- Scripting & IaC Infrastructure: Proficiency in core scripting languages (Python, TypeScript, or Go) alongside experience utilizing Infrastructure as Code (IaC via Terraform/CloudFormation) and containerization tools.
- Cloud Platform Foundations: Practical operational knowledge of cloud platforms, with primary focus on Amazon Web Services (AWS) and secondary exposure to Microsoft Azure or GCP configurations.
- AI Tooling Integration: Proven hands-on experience configuring or working alongside enterprise AI assistants (GitHub Copilot, Cursor, Claude, Atlassian Rovo) within software development environments.
- Model Context Protocol (MCP): Technical familiarity with utilizing the Model Context Protocol (MCP) to securely connect AI models to localized engineering frameworks, source repositories, and secure files.
- Analytical Problem Solving: Strong capability to analyze raw engineering workflow data, draw out operational insights, and implement data-driven process enhancements.
- Communication Capabilities: Excellent written and verbal English communication skills suited to support a global, always-on developer footprint of over 11,000 users.
How to Apply: Please submit an online application for this position by clicking on the ‘Apply Now’ button located in this posting.
Join a Values-Driven Team: Belong, Grow, Innovate.
At Trimble, our core values of Belong, Grow, and Innovate aren't just words—they're the foundation of our culture. We foster an environment where you are seen, heard, and valued (Belong); where you have an opportunity to build a career and drive our collective growth (Grow); and where your innovative ideas shape the future (Innovate). We believe in empowering local teams to create impactful strategies, ensuring our global vision resonates with every individual. Become part of a team where your contributions truly matter.
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Summary
Build and automate cloud-based DevOps tools, integrate AI, and optimize engineering workflows.
Job title
Development and Operations Engineer
Experience level
1-3 years
Minimum experience
1+ years exp
Industry
software
Location requirements
Hybrid in Chennai, India, with remote flexibility allowed.
Salary
Not specified
Management role
No
Required skills
Preferred skills
Specializations
Structured locations inferred from the posting.
Chennai, Tamil Nadu, India