Senior Cloud Infrastructure & AI Systems Engineer

EPICSOFT CORPORATION
New York, NY, United States
3 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$200,000.0 - $230,000.0
Working hours
Shift work
Job source

Tech stack

Domain Controllers Artificial Intelligence ARM Architecture Audit Trail Microsoft Azure Cloud Computing Cloud Engineering Data Governance Data Security Identity and Access Management Python (Programming Language) Microsoft SQL Server
+19 more
Virtual Desktops Platform as a Service (PAAS) Windows PowerShell Cloud Services Software Engineering Virtual Machines AI Infrastructure Delivery Pipeline Snowflake Microsoft InTune Data Layers Heroku Core Data Infrastructure Automation Frameworks Machine Learning Operations Cloud Migration Azure Service Fabric Terraform Vmware

Job description

The Opportunity: Are you a true Cloud Builder? We are looking for a Senior Azure Infrastructure Engineer who doesn’t just monitor what someone else built, but actively architects, provisions, and automates high-performance cloud environments.

The Mission: Our infrastructure operations run a highly competent, nearly 100% Azure environment. As the Senior Engineer and designated “Number Two” to the Infrastructure Manager, you will bring a fresh set of eyes to our topology to aggressively accelerate our cloud maturity.

You will lead the transition from legacy VM dependencies to Azure-native PaaS solutions, design automated pipelines from the ground up, and serve as the core infrastructure engineering partner to our software development teams as they scale enterprise AI pipelines (including Copilot governance, Model Context Protocol (MCP) connections, and Snowflake Cortex integrations)., * Cloud Architecture & Optimization: Review our current cloud footprint to identify legacy virtual machine clusters and refactor them into high-efficiency, native Azure PaaS environments and App Services.

  • Infrastructure Automation (IaC): Establish our internal scripting and automation capabilities from scratch. You will lead the transition away from manual deployments by implementing PowerShell automation and designing automated pipelines using Terraform.
  • AI Infrastructure Integration: Partner directly with the development team to architect the infrastructure, secure data boundaries, and compliance guardrails required for active AI pipeline rollouts, Snowflake Cortex data layers, and Model Context Protocol (MCP) integrations.
  • Enterprise Endpoint Engineering: Take a hands-on leadership role in our active, ongoing Microsoft Intune rollout to ensure seamless corporate device management, deployment, and endpoint compliance.
  • Security & Compliance Governance: Act as the technical security advocate in project rooms, ensuring that data governance, audit trails, and proactive security controls are natively built into all cloud migrations.

What the Tech Stack & Environment Looks Like

  • Cloud Ecosystem: Nearly 100% Azure (App Services, Azure Virtual Desktop/VDI, M365, Identity Protection). A minimal on-premises VMware remnant exists strictly for local domain controllers.
  • Data Tier: Core data structures have migrated away from traditional SQL Server into Snowflake for enterprise analytics.
  • Automation Gaps to Conquer: This role is a blank canvas for automation-Terraform, automated pipelines, and centralized scripting start with you.

Requirements

Do you have experience in UEM?, * Proven Azure Deployment Experience: A verified professional background executing and scaling live, production-grade Azure cloud services (not limited to lab environments or certifications alone).

  • Cloud-Native Default Mindset: Your immediate instinct to solve an infrastructure bottleneck is utilizing an Azure-native PaaS framework rather than spinning up a new VM.
  • Hands-on Systems Automation: Strong proficiency writing production-level scripts, with a baseline mastery of PowerShell (Python capabilities are highly valued).
  • Regulated Industry Background: Experience navigating compliance-driven frameworks where data governance, security controls, and strict audit trails are standard practice. A background in Financial Services, Banking, or Wealth Management is strongly preferred.
  • Endpoint Management Expertise: Direct, practical experience working with Microsoft Intune for corporate endpoint compliance and deployment.
  • Dynamic Communication: The ability to communicate complex cloud infrastructure concepts clearly and effectively, whether presenting in the C-suite or collaborating in a technical developer standup.
  • Culture Fit: A collaborative team member with a low-ego, problem-solving mindset who is eager to step up whenever the team needs help.

Benefits & conditions

Pulled from the full job description

  • Flexible schedule, * This is not a mundane corporate patch-and-maintenance Windows VM role. You are being brought in to innovate, optimize, and rebuild architecture from the ground up.
  • This is not a hyper-siloed specialist track. Network infrastructure is light and stable; security is treated as a team-wide mindset here, not an isolated silo.
  • This is not a brutal hedge fund grind. We offer sustainable wealth management hours with an exceptional hybrid workplace balance.

Career Growth Path

Our CTO envisions this hire carrying immense systemic influence over where our global infrastructure grows. As our financial pillars converge and scale, the right engineer will find an aggressive upward trajectory into direct Infrastructure Leadership, Advanced Data Architecture, or a executive CISO track.

Pay: $200,000.00 - $230,000.00 per year

Benefits:

  • Flexible schedule

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