Kubernetes & AWS DevOps Engineer — Hybrid

MACHINE LEARNING TECHNOLOGIES LLC; San Antonio (TX); Hybrid; USD 93,000 - 133,000; Part time

Benefits offered by this job

Hybrid work arrangement

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking a DevOps Engineer in San Antonio, TX to join a dynamic team for a 10-month plus extension contract. You will help design and deploy cloud infrastructure in AWS with a focus on EKS, automate deployment processes, and ensure reliability and scalability of services.

The role combines cloud and edge deployments in a hybrid work environment. The ideal candidate brings strong Kubernetes and AWS experience, proficiency with Terraform and Ansible, and

Qualifications

• Strong knowledge of Kubernetes or other container orchestration platforms.
• Strong knowledge of AWS services (EKS, EC2, EBS, S3, Lambda) and their application to deployment and management of infrastructure.
• Proficient in configuration management tools such as Terraform and Ansible.
• Experience with application, container, and OS deployment, scaling, and management.
• Ability to develop in multiple programming languages such as Python, Bash, or Go.
• Familiarity with Git, Flux, and other development and deployment tools.
• Must be comfortable in a terminal-based environment.
• Proficient knowledge of Linux, including system administration and troubleshooting.
• Excellent problem-solving skills and the ability to identify and troubleshoot complex issues.
• Excellent oral and written communication skills.
• Understanding of AGILE software development methodologies and use of standard software development tool suites.
• Must be able to work in a hybrid environment, spending an average of 1-2 days per week at our San Antonio, TX office.

Responsibilities

• Support development and deployment of cloud infrastructure in AWS, especially EKS.
• Support development and deployment of non-cloud (Edge) infrastructure of on-premise and portable equipment.
• Automate deployment processes and ensure reliability and scalability of services.
• Manage and maintain Kubernetes containers and cloud infrastructure on AWS.
• Collaborate with development teams to integrate their applications into the infrastructure.
• Monitor and troubleshoot production systems and resolve issues as necessary.
• Continuously improve processes and tools to ensure high availability and performance.
• Stay current with new technologies and industry trends, continuously exploring new ways to improve our infrastructure.
• Other duties as assigned.

Skills

Kubernetes

AWS

Linux

Python

Bash

Go

Git

Flux

CI/CD

Agile

Tools

EKS

Terraform

Ansible

Git

Flux

Job description

MACHINE LEARNING TECHNOLOGIES LLC is seeking a DevOps Engineer in San Antonio, TX to join a dynamic team for a 10-month plus extension contract. You will help design and deploy cloud infrastructure in AWS with a focus on EKS, automate deployment processes, and ensure reliability and scalability of services.

The role combines cloud and edge deployments in a hybrid work environment. The ideal candidate brings strong Kubernetes and AWS experience, proficiency with Terraform and Ansible, and