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Control Plane Jobs in Minnesota (NOW HIRING)

Fairygodboss

Kubernetes Architect

Virginia, MN · On-site

$131.30 - $237.35/hr

Hands‑on experience with Kubernetes architecture, including control plane components, worker node design, scheduling, networking, storage and security. * Strong understanding of DevSecOps ...

Ztek Consulting INC

Sr. DevOps Engineer

Hopkins, MN · On-site

$53.50 - $73.25/hr

... control plane components networking storage integration and cluster lifecycle management based on extensive practical experience -Demonstrate deep hands on expertise in Jenkins administration ...

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Control Plane information

What is a control plane?

A Control Plane in computing refers to the part of a network or system that manages and controls how data is routed and handled, as opposed to actually moving the data itself (which is done by the data plane). The control plane is responsible for tasks such as network topology management, routing decisions, and policy enforcement. In cloud computing and Kubernetes, the control plane manages the overall system state, scheduling, and coordination of resources. It ensures that the system operates efficiently and according to the defined rules and policies.

What are the key skills and qualifications needed to thrive as a control plane engineer?

To thrive as a Control Plane Engineer, you need a solid understanding of networking protocols, distributed systems, and a relevant degree in computer science or engineering. Experience with tools like Kubernetes, Docker, cloud platforms, and proficiency in languages such as Go or Python is typically required. Strong problem-solving skills, attention to detail, and effective communication help you collaborate across teams and address complex system challenges. These skills ensure the reliability, scalability, and security of critical infrastructure in modern cloud environments.

What are some common challenges faced by professionals working on the control plane in cloud infrastructure teams?

One of the main challenges for professionals working on the Control Plane is ensuring high availability and scalability while maintaining security and efficient resource management. The role often requires balancing complex system orchestration with rapid deployment cycles, which can introduce risks of misconfiguration or downtime. Additionally, professionals must regularly collaborate with development, operations, and security teams to implement updates and troubleshoot issues, making strong communication skills essential. Staying current with evolving cloud technologies and best practices is also key to success in this dynamic field.

What is the difference between Control Plane vs Network Engineer?

AspectControl PlaneNetwork Engineer
Required CredentialsNetworking certifications (e.g., CCNA, CCNP), knowledge of network protocolsNetworking certifications, routing and switching expertise
Work EnvironmentData centers, cloud environments, network infrastructureCorporate offices, data centers, service providers
Employer & Industry UsageCloud providers, telecom companies, large enterprisesIT departments, internet service providers, tech firms
Common Search & ComparisonControl Plane vs Network Engineer

The Control Plane focuses on managing and directing network traffic within infrastructure, often involving configuration and orchestration of network devices. Network Engineers design, implement, and troubleshoot network systems. While both roles require networking knowledge and certifications, Control Plane specialists typically work on the control functions of network devices, whereas Network Engineers handle broader network design and maintenance.

What are popular job titles related to Control Plane jobs in Minnesota?

For Control Plane jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Control Plane jobs in Minnesota look for?

The top searched job categories for Control Plane jobs in Minnesota are:

What cities in Minnesota are hiring for Control Plane jobs?

Cities in Minnesota with the most Control Plane job openings:

Control Plane jobs near you

Edge Network Migration Architect for 5G MEC

yanboyang

Virginia, MN • On-site

$62.25 - $83.50/hr

Other

Posted 4 days ago

Job description

Jul 02, 2026 4 min read

PROJ Service Migration in Cellular Networks

This project has three focus parts: Cellular Networks Testbed, LLMs, and optimization algorithms.

Cellular Networks Testbed

Image from: Real-Time Service Migration in Edge Networks: A Survey

The testbed architecture spans four tiers: Central Cloud, Regional MEC, Aggregation MEC, and Local MEC.Primary focus: Regional MEC and Aggregation MEC.Regional MEC, Aggregation MEC, and Local MEC should be deployed to my PVE Testbed.

Each MEC site (or per Metro (metropolitan area) / PoP (Point of Presence)) needs its own control plane because:

  • Survivability: If WAN/backhaul drops, the site keeps running. A single, stretched cluster loses control-plane access and flakes.
  • Latency/etcd constraints: Kubernetes control-plane (etcd) hates WAN latency/packet-loss; cross-site RTTs >~5-10 ms and jitter cause elections and outages.
  • Blast radius & upgrades: Failures and rollouts stay local, enabling per-site upgrades.
  • Regulatory / tenancy: Site-level isolation simplifies policy and compliance.
TODO Central Cloud

Cloud (Azure)High-level design: Azure Virtual WAN (Standard) with four hubs in a full inter-hub mesh. Regional spokes (AKS VNets) attach to their nearest hub; inter-hub routing provides global any-to-any.

Regions (paired for HA/DR):

  • East US 2 (VA) - primary; paired with Central US (closest to UVA)
  • Central US (IA) - DR for East US 2
  • West US 3 (AZ) - west capacity/DR; paired with East US
  • East US (VA) - additional east capacity and the formal pair for West US/West US 3

(All selected regions provide Availability Zones.)

TODO Regional MEC (e.g., Richmond PoP)

50-200 km coverage | RTT to Aggregation 15-30 msUse cases: smart city, cloud gaming, content deliveryComponents: SMF/AMF/PCF (control plane) + Regional UPF

10-50 km coverage | RTT to Local: 10-20 msUse cases: campus control, local CDN

OKD (3 master nodes)Components: SMF/AMF/PCF (control plane) + optional Aggregation UPF

TODO Local MEC

Components: Local UPFDeploy two OKD SNOs or MicroShift clusters (MEC-1: Campus South; MEC-2: Campus North)

N3 (gNB to UPF @ MEC): VLAN/VRF local to the site, low jitterN6 (UPF to campus/ISP): routed toward the PoP

Digital Twin

Must implement N2, N3, and optionally Xn. Focus on mmWave.

Focus on multi-agent workflow design and LLM fine-tuning.

ETSI = European Telecommunications Standards Institute

Famous work includes ETSI MEC (edge computing) and the original ETSI NFV effort.

Deploy Three LLMs to Regional MEC or Aggregation MEC:

Mobility Predictor Agent (MPA) Aggregation MEC / Local MEC (Near-RT RIC/O-RAN Layer) Context Generation: Provides real-time prediction of UE handover and mobility patterns to anticipate service relocation. Real-time Radio KPIs (RSRP, RSRQ), Handover/Xn/N2 events, UE location/velocity. Proactive Migration: Essential for timely initiation of migration at the lowest latency tiers, ensuring QoE under high mobility.

MEC Resource Agent (RCA) All Managed MEC Sites (Local, Aggregation, Regional) Local State Reporting: Monitors the instantaneous resource utilization and available capacity of its local compute cluster (OKD/MicroShift) CPU/Memory/GPU load, Available network bandwidth, K8s/OKD/MicroShift node metrics. Survivability and Autonomy: Guarantees that every control-plane instance has local resource awareness, upholding isolation and independence

Migration Planner Agent (PLA) Regional MEC and Aggregation MEC (Control Plane) Decision-Making: Determines the optimal migration target, timing, and method based on its scope (Local -> Local vs. Regional -> Regional). Aggregated Predictions (MPA data), Resource Availability (RCA reports), Service SLOs, Migration Cost Model. Hierarchical/Decentralized Decision: Enables ultra-low-latency decision-making for local PoP movements and wide-area optimization, avoiding high Central Cloud RTT

State/Traffic Steering Agent (TSA) Co-located with SMF/UPF Execution & Cutover: Executes the migration by coordinating state transfer and updating the 5G Core traffic rules PLA’s Decision (Target MEC ID), State Transfer Status, 5G Core N4/N11 APIs (for UPF/SMF control plane updates) Critical Service Continuity: Directly implements the necessary 5G Core control procedures (PSA Relocation/UL-CL) at all anchor points to shift traffic seamlessly

Policy Enforcement Agent (PEA) Central Cloud (Azure) Global Policy Management: Distributes high-level, long-term policies, cost objectives, and optimization models across all PLA instances Long-term historical data, Global business objectives, Failure tolerance settings, Regulatory/Tenancy policies. Global Governance: Provides the top-level goals and learning feedback to the decentralized PLA instances, ensuring consistency and alignment with global business objectives.

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