Cloud Platform Engineer C2c jobs Oakbrook, Chicago

Tech Mirrors; Oakbrook Terrace (IL); On-site; USD 140,000 - 180,000; Full time

Job summary

Tech Mirrors in Oakbrook, IL is seeking a Cloud Platform Engineer to design, build, and operate scalable cloud infrastructure across AWS with IaC and containerized workloads.

Candidates should have 6–8+ years in cloud infrastructure or DevOps, strong coding in C#, Node.js or TypeScript, deep AWS experience, Terraform, Linux, Docker, Kubernetes, and solid networking; English communication required. Preferred: IoT/edge, real-time data streams, and AWS certifications.

Qualifications

• 6–8+ years of experience in cloud infrastructure, platform engineering, or DevOps.
• Strong proficiency in C#, Node.js, and/or TypeScript, with production code.
• Deep AWS experience as the primary platform; Azure or GCP backgrounds acceptable.

Skills

C#

Node.js

TypeScript

AWS

Linux

Docker

Kubernetes

Networking

English communication

Tools

Terraform

Job description

Role: Cloud Platform Engineer

Location: Oakbrook, Chicago(Day One Onsite)

6–8+ years of experience in cloud infrastructure, platform engineering, or DevOps, with strong software development skills.

Proficiency in C#, Node.js, and/or TypeScript, with the ability to write production code rather than glue scripts alone.

Deep AWS experience (primary platform); Azure or GCP backgrounds are acceptable.

Strong Terraform or Infrastructure-as-Code expertise, including the ability to design and maintain complex, multi-environment infrastructure codebases.

Linux-native day-to-day proficiency (Ubuntu, Amazon Linux, RHEL, Alpine, etc.); primarily Windows-based backgrounds are not a fit.

Hands-on container experience (Docker, Kubernetes, ECS/EKS), including building, deploying, and troubleshooting containerized workloads in production.

Solid networking fundamentals: DNS, load balancing, VPCs, and cloud-native networking patterns.

Effective verbal and written communication skills in English.

Preferred:Experience with IoT platforms, edge computing, or autonomous systems; real-time data pipelines and stream processing (Kafka, KSQL, Kinesis); internal developer platforms or platform-as-a-service toolchains; distributed-systems patterns (event-driven architectures, pub/sub messaging, active/active multi-region deployments); databases across relational and NoSQL (PostgreSQL, DynamoDB, MongoDB, Redis,ElasticSearch); and AWS certifications (Solutions Architect, DevOps Engineer).