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Infrastructure Engineer

Job in Lakeville, Dakota County, Minnesota, 55044, USA
Listing for: TALENT Software Services
Seasonal/Temporary position
Listed on 2026-02-14
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing, AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Infrastructure Engineer – Contract

Job Summary:

Talent Senior Service Now is in search of an Infrastructure Engineer for a contract position in Minnetonka, MN. The opportunity is for ten months with a strong chance for a long‑term extension.

Position Summary:

We are looking for an experienced contractor who is highly proficient in Python and has practical experience developing AI‑powered systems. The preferred candidate should have worked with AI agents, Model Context Protocol (MCP), modern data management techniques, and cloud platforms to create scalable, production‑ready solutions.

Primary Responsibilities / Accountabilities
  • Design, build, and maintain Python-based services and automation workflows
  • Implement MCP for agent communication, control, and observability
  • Build, transform, and manage data pipelines supporting AI and analytics use cases
  • Deploy, monitor, and optimize solutions in cloud environments
  • Collaborate with product, data, and engineering teams to deliver end‑to‑end solutions
  • Ensure code quality, performance, security, and maintainability
Qualifications
  • Python:
    Advanced proficiency; production experience with APIs, async processing, and testing
  • AI/LLM Agents:
    Experience designing and implementing autonomous or semi‑autonomous AI agents (e.g., tool‑using agents, planners, orchestrators)
  • MCP (Model Context Protocol):
    Experience with agent communication, coordination frameworks, or protocol‑driven AI architectures
  • Data Management
    • Data modeling and data pipelines
    • Working with SQL and No

      SQL databases
    • Experience with data quality, governance, and large‑scale datasets
  • Cloud Experience
    • Hands‑on work in at least one major cloud platform (Azure, AWS, or GCP)
    • Experience with cloud storage, compute, and managed services
    • Familiarity with CI/CD and cloud native deployment patterns
Preferred
  • Experience with vector databases and embeddings
  • Familiarity with MLOps or LLMOps practices
  • Experience with streaming data or event‑driven architectures
  • Knowledge of security and compliance considerations for AI systems
  • Prior work in enterprise or large‑scale data management
  • Healthcare or other data‑regulated experience preferred
Engagement Characteristics
  • Contractor is expected to work independently with minimal supervision
  • Comfortable operating in fast‑moving, evolving technical environments
  • Strong documentation and communication skills
  • Experience collaborating with remote and cross‑functional teams
Technical Skills
  • AI/LLM Agent and MCP (Model Context Protocols) – Google ADK, Copilot Studio
  • Cloud Experience – Google Cloud or Azure preferred
  • Database Knowledge – Big Query, Firestore, Cloud SQL, etc.
  • Data pipeline – Dataflow
  • Power Automate
  • Automation Tooling – UI Path, etc.
  • CI/CD Pipeline – Azure Dev Ops Pipeline
  • Infrastructure as Code (IaC) – Terraform
Infrastructure Engineer (Terraform, CI/CD, GCP & Azure, Data & AI Platforms) – Contract

Position Summary:

We are looking for an experienced Infrastructure Engineer to design, automate, and operate scalable cloud infrastructure supporting data platforms and AI/ML workloads across GCP and Azure. This role focuses on Infrastructure‑as‑Code, CI/CD automation, cloud networking, and enabling reliable, secure environments for data engineering and analytics teams.

Primary Responsibilities / Accountabilities
  • Design, provision, and manage cloud infrastructure using Terraform
  • Build and maintain CI/CD pipelines using Azure Dev Ops
  • Provision and manage GCP infrastructure, including compute, storage, IAM, and networking
  • Support and manage Azure infrastructure (VNets, networking, compute, storage)
  • Design and implement network provisioning (VPC/VNet architecture, routing, firewalls, load balancers, private connectivity)
  • Build and operate infrastructure for data platforms (data lakes, warehouses, streaming, analytics platforms)
  • Provision and support AI/ML infrastructure, including GPU resources and AI platforms
  • Implement security best practices, IAM, encryption, and compliance controls
  • Optimize infrastructure for performance, reliability, and cost
  • Collaborate with data engineering, analytics, and ML teams
  • Document infrastructure, architecture, standards, and operational runbooks
Qualifications
  • Strong experience with Terraform…
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