Senior DevOps Engineer

Overview

On Site
$DOE
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - Long Term

Skills

DevOPS
Kubernetes
Nutanix

Job Details

Job Title: Sr. Devops Engineer with Nutanix

Location: Dallas, TX

12+ Months Contract

Build and deploy IoT Edge services on Private Cloud infrastructure using Kubernetes and modern streaming platforms.

Architect hybrid cloud solutions and seamless integrations with public cloud services.

Design and implement low-memory/CPU/GPU Kubernetes workloads and cloud-native application blueprints.

Pilot emerging cloud features and run experiments to validate technology fit and performance.

Lead architecture discussions and participate in code and design reviews to ensure best practices, scalability, and cost-efficiency.

Drive transformation efforts by converting monolithic applications into microservices using GraphQL/REST APIs and 12-factor app principles.

Collaborate with cross-functional teams to meet quarterly and annual cloud migration goals.

Guide and mentor junior engineers; foster a culture of learning, automation, and continuous improvement.

Contribute to internal technical content including white papers, blog posts, practical guides, and platform demos.

Required Qualifications:

Bachelor's degree in computer science or a related field, or equivalent work experience.

Proven experience in application development and technical leadership, including new platform/product development and iterative design.

Deep understanding of Edge infrastructure and IoT application design patterns.

Expert-level knowledge in cloud platforms AWS, Azure, or Google Cloud Platform for deploying scalable, reliable applications.

Hands-on experience with container orchestration using Kubernetes (AKS, EKS, Nutanix).

Proficient in full-stack development using Java, Golang, and Typescript.

Strong background in high-performance computing, storage (file/block/object), and integrated infrastructure solutions.

Solid experience with cloud-native infrastructure design and evolutionary architecture patterns.

Expertise in service-oriented architecture, API protocols (GraphQL, gRPC), and messaging (MQTT).

Experience with Infrastructure-as-Code tools like Terraform, CloudFormation, or ARM templates.

Strong track record of building and deploying high-volume distributed systems via CI/CD pipelines.

Demonstrated analytical and problem-solving skills with a self-starter mindset.

Experience in data collection, analysis, and technical documentation.

Preferred Qualifications:

Experience in the automotive or manufacturing domain. Exposure to GPU-based workloads or AI/ML infrastructure design.

Familiarity with private cloud stacks and hybrid deployment models.

Contributions to open-source communities or technical publications.

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