DevOps/Infrastructure Engineer || Hoffman Estates, IL

[ANKIT VERMA]

DevOps/Infrastructure Engineer

Client: Panasonic
Location: Hoffman Estates, IL (Local candidates only with a valid DL)
Work Mode: 3 Days Onsite (Tue–Thu)
Interview: Video Interview
Rate: $60/hr. on C2C

Candidate Requirements

• USC only
• Strong communication skills
• LinkedIn profile must:
• Have a photo
• Be well-connected
• Be an older (established) profile

Relevant Profiles

• DevOps / Infrastructure Engineer
• Senior DevOps Engineer – Kubernetes / Service Mesh (AI Focus)
• Senior Kubernetes Platform Engineer (AI-Enabled Operations)
• Site Reliability Engineer (SRE) – Kubernetes & AI Operations

Purpose / Mission of Team

• Improve backend code and infrastructure using AI
• Work in a parallel team alongside senior members
• Build and optimize an enterprise on-prem Kubernetes infrastructure with cloud integration
• Debug intermittent service communication failures in: Istio, Flannel, kube-proxy
• Leverage AI tools and MCP servers for enhanced operations and troubleshooting

Experience Requirements

• Strong expertise in GitHub Copilot (mandatory)
• Tech Stack: .NET (C#) Microservices, React, On-prem Kubernetes, Kafka, PostgreSQL, Redis, Apache Druid, ELK Stack

Key Skills Required

Core Infrastructure & Networking

• Production networking troubleshooting
• Tools: TCPDUMP, Wireshark, packet analysis, distributed tracing (Jaeger)

Kubernetes & Ecosystem

• Kubernetes (on-prem cluster operations)
• Kube-proxy (iptables/IPVS, Conntrack debugging)
• Flannel CNI (VXLAN, host-gw, MTU tuning)
• CoreDNS (performance tuning, NodeLocal DNSCache)

Service Mesh

• Istio: Sidecar injection, mTLS, Envoy proxy debugging, Deep troubleshooting

AI-Enhanced Operations (MCP)

MCP Integration

• Build & deploy Model Context Protocol (MCP) servers

Custom MCP Servers

• Kubernetes API access
• Log querying
• Metrics retrieval
• Incident management

AI-Powered Capabilities

• Real-time diagnostics using LLMs
• Automated log analysis & anomaly detection
• Root cause analysis

Operational AI Assistants

• Integrations with: GitLab, Jira, Slack, PagerDuty

Infrastructure Query Interfaces

• Expose: Prometheus, Elasticsearch, Kubernetes APIs

Self-Service Tools

• AI-powered tools for querying infrastructure state

 

Technical Skills Screening

Skill	Years of Experience
DevOps Experience	X years
C# / .NET Microservices Development	X years
GitHub Copilot (AI-Assisted Development)	X years
CI/CD & DevOps (Pipelines, Automation, GitLab)	X years
Kubernetes (On-Prem / Cluster Operations)	X years
Istio Service Mesh (mTLS, Envoy, Debugging)	X years
Networking Troubleshooting (TCPDUMP, Wireshark, Packet Analysis)	X years
Kube-Proxy / CNI (Flannel, iptables/IPVS, MTU)	X years
CoreDNS (Performance Tuning / Debugging)	X years
React (Frontend Development)	X years
Kafka (Event Streaming / Messaging)	X years
PostgreSQL (Database Management / Querying)	X years
Redis (Caching / Performance Optimization)	X years
Apache Druid (Analytics / Data Processing)	X years
ELK Stack (Logging / Monitoring / Observability)	X years

 

Best regards, 

Ankit Verma 

Sr. Technical IT Recruiter | ALLEGIS IT 

Ankit...@allegisitllc.com