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# Platform Engineer (Python)

- **Company:** VERITAL CONSULTING L.L.C.
- **Location:** Chicago, IL, United States
- **Experience:** Experienced
- **Salary:** $200,000.0 - $350,000.0
- **Contract:** Permanent contract
- **Skills:** Algorithmic Trading, Amazon Web Services, Microsoft Azure, Computer Programming, Linux, DevOps, Distributed Systems, Github, Python (Programming Language), PostgreSQL, Networking Basics, Reliability Engineering, Prometheus, Datadog, Cloud Platform System, Grafana, Reliability of Systems, Gitlab-ci, Kubernetes, Low Latency, Deployment Automation, Apache Kafka, Terraform, Docker, Jenkins
- **Published:** August 9, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=8667d1f89d9501fe

## About the Role

* 3+ years of experience in a Platform, DevOps, Infrastructure, or Site Reliability Engineering role.
 * Strong programming experience with Python.
 * Hands-on experience administering and supporting Kubernetes in production environments.
 * Experience managing infrastructure using Terraform.
 * Strong understanding of Linux systems and networking fundamentals.
 * Experience with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, or similar).
 * Excellent troubleshooting skills and a passion for automation.

Nice to Have

 * Experience within proprietary trading, financial services, or other low-latency environments.
 * Experience with cloud platforms (AWS, GCP, or Azure).
 * Knowledge of Docker, Prometheus, Grafana, or other observability tooling.
 * Familiarity with Kafka, PostgreSQL, or distributed systems.

## Description

We're looking for a Platform Engineer to help build and scale the infrastructure that powers a high-performance trading environment. You'll work closely with software engineers, infrastructure teams, and production support to develop reliable, automated, and scalable platforms that enable low-latency trading systems., * Design, build, and maintain Kubernetes-based infrastructure supporting production trading systems.

 * Develop automation and internal tooling using Python.
 * Manage infrastructure through Terraform and Infrastructure-as-Code best practices.
 * Improve CI/CD pipelines and deployment automation.
 * Monitor platform health, troubleshoot production issues, and optimize system reliability.
 * Collaborate with development teams to build scalable, secure, and highly available platforms.
 * Drive continuous improvements across automation, observability, and operational excellence.


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