Platform Engineer (Chicago)
Oxenham Group, Chicago, IL, United States
What You Will Do
Design and maintain cloud infrastructure on AWS using Terraform, CDKTF, and/or AWS CDK, with a focus on reliability, scalability, and cost efficiency across multi-environment deployments.
Write production-quality platform tooling and services in C#, Node.js, and/or TypeScript. This is a hands-on coding role, not just infrastructure configuration.
Architect and operate container orchestration platforms, including Kubernetes and ECS/EKS, for microservice and distributed systems workloads that support autonomous vehicle data pipelines.
Build and maintain CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, and/or Azure DevOps, including automated testing and deployment gates.
Implement observability and monitoring using DataDog, Splunk, CloudWatch, or similar tools to ensure rapid detection and resolution of issues across distributed systems. • Design and integrate data ingestion and messaging infrastructure, including Kafka, Kinesis, and pub/sub patterns, for high-volume IoT and telemetry workloads.
Improve the developer experience by streamlining local development workflows, environment provisioning, and deployment feedback loops. • Mentor engineers on cloud-native architecture, DevOps practices, and infrastructure best practices.
What We Are Looking For
6 to 8+ years of experience in cloud infrastructure, platform engineering, or DevOps, combined with strong software development skills.
Proficiency in C#, Node.js, and/or TypeScript with the ability to write real production code, not just glue scripts.
Deep AWS experience preferred. Azure or GCP backgrounds are acceptable, but AWS is the primary platform.
Strong Terraform or broader infrastructure-as-code expertise, with the ability to design and maintain complex, multi-environment infrastructure codebases.
Strong Linux background across environments such as Ubuntu, Amazon Linux, RHEL, and Alpine.
Hands-on container experience with Docker, Kubernetes, and ECS/EKS, including building, deploying, and troubleshooting containerized workloads in production.
Nice to Have
Experience with IoT platforms, edge computing, or autonomous systems.
Background in real-time data pipelines and stream processing, including Kafka, KSQL, and Kinesis.
Experience building internal developer platforms or platform-as-a-service toolchains.
Familiarity with distributed systems patterns such as event-driven architectures, pub/sub messaging, and active/active multi-region deployments.
Exposure to relational and NoSQL databases including PostgreSQL, DynamoDB, MongoDB, Redis, and Elasticsearch.
AWS certifications such as Solutions Architect or DevOps Engineer
Design and maintain cloud infrastructure on AWS using Terraform, CDKTF, and/or AWS CDK, with a focus on reliability, scalability, and cost efficiency across multi-environment deployments.
Write production-quality platform tooling and services in C#, Node.js, and/or TypeScript. This is a hands-on coding role, not just infrastructure configuration.
Architect and operate container orchestration platforms, including Kubernetes and ECS/EKS, for microservice and distributed systems workloads that support autonomous vehicle data pipelines.
Build and maintain CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, and/or Azure DevOps, including automated testing and deployment gates.
Implement observability and monitoring using DataDog, Splunk, CloudWatch, or similar tools to ensure rapid detection and resolution of issues across distributed systems. • Design and integrate data ingestion and messaging infrastructure, including Kafka, Kinesis, and pub/sub patterns, for high-volume IoT and telemetry workloads.
Improve the developer experience by streamlining local development workflows, environment provisioning, and deployment feedback loops. • Mentor engineers on cloud-native architecture, DevOps practices, and infrastructure best practices.
What We Are Looking For
6 to 8+ years of experience in cloud infrastructure, platform engineering, or DevOps, combined with strong software development skills.
Proficiency in C#, Node.js, and/or TypeScript with the ability to write real production code, not just glue scripts.
Deep AWS experience preferred. Azure or GCP backgrounds are acceptable, but AWS is the primary platform.
Strong Terraform or broader infrastructure-as-code expertise, with the ability to design and maintain complex, multi-environment infrastructure codebases.
Strong Linux background across environments such as Ubuntu, Amazon Linux, RHEL, and Alpine.
Hands-on container experience with Docker, Kubernetes, and ECS/EKS, including building, deploying, and troubleshooting containerized workloads in production.
Nice to Have
Experience with IoT platforms, edge computing, or autonomous systems.
Background in real-time data pipelines and stream processing, including Kafka, KSQL, and Kinesis.
Experience building internal developer platforms or platform-as-a-service toolchains.
Familiarity with distributed systems patterns such as event-driven architectures, pub/sub messaging, and active/active multi-region deployments.
Exposure to relational and NoSQL databases including PostgreSQL, DynamoDB, MongoDB, Redis, and Elasticsearch.
AWS certifications such as Solutions Architect or DevOps Engineer