Note: The job is a remote job and is open to candidates in USA. Linea Energy is seeking an Enterprise Technology Solutions Engineer to design, build, and deploy AI-driven automations and custom internal applications that reduce manual work across company teams. The role also supports enterprise software architecture, integrations, GIS applications, cloud infrastructure, technology operations, and information security.
Responsibilities
- Key individual within company responsible for enterprise software architecture and solutions
- AI Automation and Agentic Workflows: Design, build, and operate AI-powered automations and agent-based workflows (using LLM APIs, Model Context Protocol (MCP) servers, and workflow platforms) that connect to the systems where work already happens, such as Sitetracker/Salesforce, SharePoint and Microsoft 365, Notion, financial and data-room platforms, and document repositories. Prioritize automations by business impact and measure hours saved, accuracy, and adoption
- Application Development: Design, build, and maintain custom internal tools and applications using Python and JavaScript that put AI automations in the hands of development, legal, GIS, finance, and execution teams
- AI-Assisted Development: Leverage modern AI-assisted coding tools (e.g., Claude Code, Copilot, Cursor) to rapidly prototype, iterate, and deliver production-quality software, applying appropriate testing, code review, and deployment discipline to AI-generated code
- Cross-Functional Collaboration: Partner with stakeholders across the organization to identify high-value automation opportunities, map current workflows, gather requirements, and translate business needs into technical solutions. Train and support employees in adopting AI tools and automated workflows
- Enterprise Integration: Build and maintain integrations between internal systems of record, cloud services, and third-party platforms using APIs, webhooks, and MCP connectors to streamline data flows and reduce manual processes, with attention to reliability, monitoring, and error handling
- GIS and Spatial Applications: Develop or enhance GIS-enabled applications, spatial data pipelines, and automated spatial analyses to support energy project siting, analysis, and reporting
- Code Quality and Version Control: Maintain clean, well-documented codebases using Git, participate in code reviews, and follow best practices for collaborative development, including testing and evaluation of AI-driven workflows
- AI Governance and Data Protection: Help define and enforce policies for responsible AI use, including approved tools and models, data classification, handling of confidential project, financial, and counterparty information, prompt-injection and data-leakage safeguards, human-in-the-loop review for high-risk automations, and logging and auditability of automated actions
- Cloud Infrastructure: Deploy and manage applications, automations, and services within Azure cloud environments, including VMs, app services, functions, and data storage, along with access control, cost monitoring (including AI/LLM usage costs), backups, and patching
- Technology Operations and Administration: Serve as a technical resource for select IT operations, help manage the IT consultant, and support escalated end-user technical issues
- Security and Access Management: Apply and help maintain security best practices, including multi-factor authentication, least-privilege access, periodic access reviews, and secure handling of credentials and secrets across applications and cloud resources
- Documentation and Vendor Coordination: Document systems, automations, configurations, and support procedures, and coordinate with third-party IT providers, AI and software vendors on evaluation, licensing, renewals, and issue resolution
Skills
- 5+ years of professional experience in software engineering, solutions engineering, automation engineering, or a related technical role, including hands-on delivery of production automations or applications
- Demonstrated experience building AI-powered automations or agentic workflows, including working with LLM APIs (e.g., Anthropic, OpenAI, Azure OpenAI), prompt and context design, tool use/function calling, and MCP or comparable integration frameworks
- Strong proficiency in Python and JavaScript, with experience building web applications, APIs, and internal tools, and consuming REST/GraphQL APIs and webhooks
- Demonstrated experience with AI-assisted software development tools and workflows (e.g., Claude Code, Copilot, Cursor, or similar)
- Proficiency with Git and modern version control practices
- Experience working with cloud platforms, preferably Microsoft Azure (VMs, App Services, Functions, DevOps, or similar), and with securing service accounts, API keys, and secrets
- Comfort troubleshooting technical issues and supporting non-technical users
- Ability to work independently and manage multiple concurrent projects in a fast-paced, dynamic environment
- Excellent communication skills, both written and verbal, with the ability to translate technical concepts for non-technical stakeholders
- Bachelor's degree in Computer Science, Engineering, GIS, or a related field, or equivalent practical experience
- GIS experience (ArcGIS Pro (Esri Suite), ArcPy, PostGIS, or spatial data libraries)
- Prior experience in energy development, ideally renewable energy (wind, solar, or storage)
- Experience with low-code and workflow automation platforms (Power Platform/Power Automate, n8n, Zapier, or similar); administration of enterprise platforms such as Microsoft 365, Salesforce/Sitetracker, or ArcGIS Online/Enterprise; scripting for administrative automation (PowerShell, Microsoft Graph API); and Microsoft or Azure certifications (e.g., AZ-104, MS-102, AI-102)
Benefits
- Remote candidates will be considered for exceptional applicants.
Company Overview
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