Infrastructure Engineer

Dimension Consulting
New York, NY, United States
about 1 month ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$150,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Information Engineering Performance Tuning Google Cloud Cloud Platform System System Availability Kubernetes Deployment Automation

Job description

We are looking for an Infrastructure Engineer to build and maintain scalable, secure, and reliable cloud infrastructure for an AI-driven fintech platform. You will work closely with engineering teams to support cloud environments, automate deployments, and optimize system performance., * Manage cloud infrastructure across AWS, Google Cloud Platform, and Azure.

  • Build and maintain Kubernetes environments.
  • Develop and improve CI/CD pipelines.
  • Support data engineering infrastructure and platform reliability.
  • Monitor, troubleshoot, and optimize cloud systems.

Requirements

  • Experience with AWS, Google Cloud Platform, or Azure.
  • Hands-on experience with Kubernetes.
  • Strong understanding of CI/CD pipelines.
  • Knowledge of cloud infrastructure and automation.
  • Exposure to data engineering concepts is a plus.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:34 min

Pivoting careers into specialized platform engineering roles

Xavier Portilla Edo · LIVE

2:28 min

Understanding Kubernetes architecture and core cluster components

Marc Nimmerrichter · World Congress 2022

6:10 min

Unlocking free learning credits via Google Cloud Innovators

Asrar Asrar · World Congress 2024

1:06 min

Outline of free tools for Microsoft Azure

Radu Vunvulea Radu Vunvulea · World Congress 2022

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

4:04 min

Overview of Kubernetes operators and custom resource definitions

Philipp Krenn · World Congress 2022

Videos

See all

Related articles

See all