Platform Engineer – AI Automation

iShare Inc.

Platform Engineer focused on AI and automation for IT consulting firm iShare, enhancing engineering ecosystems. Responsibilities include building reliable, AI-enabled platforms and managing cloud services.

Posted 7/24/2026full-timeRemote • New Jersey • 🇺🇸 United StatesSeniorLead💰 $65 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in Platform Engineering and Cloud Engineering, with a strong focus on building and managing CI/CD pipelines, automation frameworks, and platform security controls. Proficient in leveraging AI-enabled workflows and observability tools to enhance operational excellence and developer experience.

Highest-signal resume keywords

Platform EngineeringCI/CD Pipeline DevelopmentMicrosoft Power PlatformCloud EngineeringAutomation Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

CI/CD PipelinesInfrastructure AutomationDeployment ScriptingAPI IntegrationObservability ToolingAI-Enabled WorkflowsPlatform SecurityEnvironment ManagementConfiguration ManagementTroubleshooting

Soft Skills

Systems ThinkingCollaborationProblem-Solving

Tools & Technologies

Azure DevOpsGitHubDynamics 365 F&OAzure ServicesAWSPower PlatformM365 CopilotTelemetry PipelinesMonitoring PlatformsAutomation Tooling

Industry Keywords

Enterprise EngineeringAgile Product DeliveryOperational ControlsGovernance StandardsCloud-Native Architectures

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecuritySDLC

About the role

Key responsibilities & impact

Build, manage, and evolve shared platform engineering capabilities across Power Platform, Dynamics 365 F&O, Azure, AWS, APIs, integrations, and digital applications
Support and operationalize AI-enabled development workflows including local agents, Copilot-assisted engineering, orchestration services, and automated SDLC pipelines
Design and maintain CI/CD pipelines, deployment automation, environment strategies, release controls, and platform governance standards
Implement reusable platform services, automation frameworks, connectors, templates, shared components, and developer acceleration tooling
Support AI and automation lifecycle capabilities including Power Platform Copilot Studio, M365 Copilot integrations, Azure AI Foundry, machine learning workflows, and agent orchestration patterns
Build and support platform observability including telemetry, logging, monitoring, alerting, tracing, and operational dashboards
Support automated quality engineering practices including pipeline validation, regression execution, automated testing integration, and release gating
Implement and operationalize platform security controls including RBAC, managed identities, API security, secrets management, DLP policies, audit logging, and environment governance
Partner with Enterprise Architecture, Cybersecurity, Cloud Engineering, and Data & AI teams to align implementations with enterprise standards and governance requirements
Support AI governance practices including behavioral monitoring, agent lifecycle controls, Responsible AI enforcement, risk evaluation, and operational review processes
Assist product and engineering teams with platform onboarding, automation adoption, environment provisioning, troubleshooting, and platform optimization
Drive platform reliability, resiliency, scalability, and operational excellence across shared engineering services
Contribute to developer experience improvements through automation, self-service tooling, standardized patterns, and reusable engineering assets
Support cost optimization, performance tuning, and operational efficiency initiatives across cloud and platform services

Requirements

What you’ll need

8+ years of experience in Platform Engineering, Cloud Engineering, DevOps, Automation Engineering, or related enterprise engineering roles
Hands-on experience with Microsoft Power Platform, Dataverse, Dynamics 365 F&O, Azure services, and enterprise integrations
Experience building and supporting CI/CD pipelines using Azure DevOps, GitHub, or similar platforms
Experience with infrastructure automation, deployment scripting, environment management, and configuration management
Strong understanding of APIs, integrations, authentication, OAuth, REST services, and enterprise integration patterns
Experience supporting cloud-native and hybrid architectures across Azure and AWS
Experience with observability tooling, monitoring platforms, telemetry pipelines, and operational diagnostics
Experience with AI-enabled engineering workflows, Copilot technologies, LLM integrations, automation tooling, or agentic workflows
Strong understanding of platform security, governance, operational controls, and enterprise engineering standards
Experience supporting agile product delivery teams in large enterprise environments
Strong troubleshooting, automation, and systems thinking capabilities

Benefits

Comp & perks

Health insurance
Professional development opportunities
Remote work options