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# Platform Engineer

- **Company:** Exiger LLC
- **Location:** New York, NY, United States (Remote available)
- **Salary:** $100,000.0 - $110,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Cloud Computing, Continuous Integration, Identity and Access Management, Python (Programming Language), Datadog, Scripting, GitHub Copilot, Large Language Models, Kubernetes, Information Technology, Cloudwatch, Terraform, AWS EKS
- **Published:** June 19, 2026
- **Apply:** https://diversityjobs.com/career/17301944/Platform-Engineer-New-York-New-York

## About the Role

* Experience: 0-4 years of production experience in cloud infrastructure or CI/CD.
 * Education: BS in Computer Science or a related technical field.
 * Skills: Proficiency in Python or Go; experience with AWS, Kubernetes, and Terraform.
 * Certification: AWS Solutions Architect or SysOps Administrator Associate (or willingness to achieve within 12 months).
 * AI Proficiency: Familiar with mainstream LLMs (OpenAI, Anthropic, Google) and AI Harnesses.

What You'll Learn

 * Multi-region AWS architecture and advanced networking.
 * FedRAMP High compliance automation.
 * Advanced Kubernetes operations and FinOps cost modeling.

## Description

As a Platform Engineer II, you will independently design and build small-to-medium AWS platform features. You will contribute to CI/CD pipelines, Kubernetes operations, and observability with growing autonomy., * Feature Ownership: Own platform features end-to-end, from design to production.

 * Infrastructure & CI/CD: Build multi-environment CI/CD pipelines and deploy workloads via Terraform and Helm.
 * Kubernetes Operations: Operate and troubleshoot AWS EKS clusters, including resource management and autoscaling.
 * Security & Compliance: Manage AWS IAM roles and implement secure-by-default configurations aligned with NIST/CIS standards.
 * Observability: Design SLOs and dashboards using CloudWatch or Datadog to improve reliability.
 * AI Integration: Use AI tools (e.g., GitHub Copilot, Claude) to accelerate IaC development and scripting.


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