DevOps Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Dallas (TX); Presencial; USD 120.000 - 170.000; Jornada completa

Descripción de la vacante

MACHINE LEARNING TECHNOLOGIES LLC seeks a seasoned DevOps Engineer in Dallas, TX to design, build, and manage scalable Kubernetes-based cloud platforms. The role emphasizes GitOps, IaC, and automation across AWS/Azure, with emphasis on cost-efficient and secure operations.

The ideal candidate will have deep Kubernetes expertise (EKS/AKS), Terraform-based provisioning, and strong CI/CD experience using Jenkins/GitLab CI/CD, ArgoCD, and Harness.

Formación

• Kubernetes & Cloud Platform Engineer with hands-on cloud infra experience.
• IaC automation and cloud provisioning expertise.
• Strong monitoring/observability using Prometheus, Grafana, Datadog.

Responsabilidades

• Design, build, and manage scalable Kubernetes clusters (EKS/AKS).
• Implement GitOps workflows and CI/CD pipelines.
• Automate cloud infrastructure and cost management with Terraform and Python.

Conocimientos

Kubernetes & Cloud Platform Engineer

Infrastructure as Code (IaC)

Python-based automation

Prometheus, Grafana, Datadog

AWS, Azure, Terraform

Herramientas

Terraform

Jenkins

GitLab CI/CD

ArgoCD

Harness

Descripción del empleo

Job Overview

• Job ID: J53431
• Job Title: DevOps Engineer
• Location: Dallas, TX
• Duration: 24 Months + Extension
• Domain Exposure: Retail
• Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

Job Description

Seasoned Kubernetes & Cloud Platform Engineer with deep expertise in Kubernetes (EKS/AKS), AWS, Azure, Terraform, Docker, ArgoCD, Harness, Jenkins, and GitLab CI/CD. Strong hands-on experience in GitOps, Infrastructure as Code (IaC), Kubernetes administration, Istio Service Mesh, cloud security, and platform engineering. Proficient in implementing observability and monitoring solutions using Prometheus, Grafana, and Datadog, along with Python-based automation for operational efficiency. Experienced in designing scalable, secure, and highly available cloud-native environments, leveraging Karpenter, HPA, and automation-driven strategies for performance optimization and cloud cost management. Demonstrated expertise in CI/CD modernization, cloud infrastructure automation, reliability engineering, and enterprise Kubernetes platform support across Banking, Mortgage, and Insurance domains.

Must Have Skills

• Kubernetes & Cloud Platform Engineer
• Infrastructure as Code (IaC)
• Python-based automation
• Prometheus, Grafana, and Datadog
• AWS, Azure, Terraform

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.