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Platform Engineer
Job in
Denver, Denver County, Colorado, 80208, USA
Listed on 2026-01-07
Listing for:
ZP Group
Full Time
position Listed on 2026-01-07
Job specializations:
-
Engineering
Systems Engineer
Job Description & How to Apply Below
Responsibilities of the Platform Infrastructure Engineer:
* Architect and manage Kubernetes-based platforms supporting real-time, distributed microservices.
* Build scalable, resilient infrastructure using Terraform and other IaC tools.
* Collaborate with software teams to deploy and optimize Python-based microservices.
* Implement robust monitoring and observability using New Relic, Data Dog, Splunk, AWS Cloud Watch, etc.
* Make strategic decisions on cloud-native vs. self-hosted deployments across AWS (preferred), Azure, or GCP.
* Design and troubleshoot networking (VPNs, NLB/ALBs, TLS, HTTPS, CDN).
* Build and maintain CI/CD pipelines (Git Hub Actions preferred).
* Engineer high-performance APIs, databases, caching systems, and event-driven architectures.
* Apply cloud security best practices and optimize for cost-efficiency.
* Manage identity and access control using Auth0 or Okta.
* Use Git/Git Hub for version control and team collaboration.
Responsibilities of the Platform Infrastructure Engineer:
* 3+ years in Dev Ops, platform, or infrastructure engineering.
* Bachelor's degree in Computer Science or related field.
* Deep expertise in Kubernetes, cloud architecture, and automation.
* Strong proficiency in Python, Terraform, and Unix/Linux systems.
* Experience with cloud security, networking, and CI/CD pipelines.
* Ability to work independently and drive projects from concept to deployment.
* Excellent communication skills and a collaborative mindset.
Compensation for the Platform Infrastructure Engineer include:
* Salary: $140,000 - $180,000
* Comprehensive Benefits:
Medical, Dental, Vision, 401(k) with company match
* Unlimited PTO, Sick Leave, and Paid Holidays
#LI-Rl #LI-HYBRID
/CD, Git Hub Actions, AWS, Azure, GCP, cloud-native architecture, containerization, serverless, microservices, distributed systems, monitoring tools, New Relic, Data Dog, Splunk, AWS Cloud Watch, VPN, NLB, ALB, TLS, HTTPS, CDN, API design, No
SQL, relational databases, caching systems, event-driven architecture, Unix/Linux, cloud security, cost optimization, Auth0, Okta, Git, version control, TS/SCI clearance, platform engineering, reliability engineering, systems engineering, automation, technical troubleshooting, software resilience, cross-functional collaboration.
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