Senior Development Engineer – Automation & AI Platforms Automation Platform Development (Lite-Touch)Design and build a Lite-Touch Automation Platform that enables scalable workstation provisioning and configuration management.
Responsibilities include:Architect and develop an enterprise automation framework enabling deterministic workstation configuration deploymentImplement modular automation workflows supporting policy-driven configuration managementEnsure 100% repeatable configuration outcomesEnable input-driven configuration provisioning using structured configuration inputsIntegrate automation capabilities with enterprise request and service management platformsImplement logging, traceability, and auditability across automation workflowsManage configuration artifacts using version-controlled configuration management practicesEliminate configuration drift and manual build inconsistencies through automated enforcementConfiguration Quality Verification Platform Design and develop a Configuration Quality Verification Platform that validates workstation configurations against requested standards and enterprise quality policies.
Responsibilities include:Build automated verification workflows validating workstation configuration statesImplement compliance validation aligned with enterprise quality standardsDetect configuration drift and unauthorized configuration changesVerify alignment between requested and deployed configurationsGenerate automated reports and audit artifacts for regulatory complianceEnable engineering teams to perform automated quality assurance for workstation environmentsRequired Qualifications Professional Experience10+ years of professional software engineering experience5+ years designing automation platforms or infrastructure automation systemsProven experience building enterprise automation frameworks or internal developer toolsStrong DevOps engineering backgroundProgrammingAdvanced PowerShell automation and scripting frameworksC# /.NET application and platform developmentSource Control & Engineering PracticesGit-based development workflowsBranching strategies and pull request processesCode review and engineering quality practicesModern DevOps development methodologiesArtificial Intelligence Engineering Experience Hands-on experience integrating AI capabilities into development workflows working with:Semantic KernelAzure AI FoundryComparable enterprise AI orchestration frameworksExperience working with modern LLM ecosystems such as:Anthropic Claude modelsGemini modelsMicrosoft Copilot modelsAI Development Practices:Prompt engineeringAI-assisted development workflowsCodex-driven developmentAI agent orchestrationPreferred QualificationsDistributed systems designAutomation platform architectureModular framework developmentEvent-driven systemsCI/CD pipeline developmentInfrastructure-as-Code practicesREST API developmentIdentity and authentication frameworksMicrosoft Azure and Kubernetes environmentsContainerized workloadsObservability, monitoring, and telemetry systemsSecure development lifecycle practicesSecrets management and role-based access controlExperience in regulated industries such as MedTech, pharmaceuticals, or manufacturing.