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Need on w2 || Devops Engineer

Spear StaffingDallas, TX🇺🇸United StatesPosted 17 Jul 2026

Why This Role Stands Out

This hybrid Sr. AWS Infrastructure Engineer role offers an exciting opportunity to work with cutting-edge AWS technologies, including Kubernetes and Terraform, on enterprise Data Science/AI platforms. You'll thrive here if you're a mid-senior level engineer with a passion for building and managing robust cloud infrastructure, and you'll enjoy the flexibility of a hybrid work environment. Apply today to advance your career in a dynamic technology space!

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Position: Sr. AWS Infra Engineer
Location: either Dallas, Texas or Columbus, Ohio or Minneapolis, Minnesota (Hybrid)

Duration:12+months
Interview process: spark hire, then video interview, then face to face (MUST

Must have: AWS, Kubernetes, Lambdas, EC2, CI/CD experience, Terraform, Athena, Glue

Seeking a Senior AWS Infrastructure Engineer with strong experience building, managing, and supporting AWS cloud infrastructure. The ideal candidate will have expertise in AWS, Kubernetes, Terraform, CI/CD, and cloud security, with experience supporting enterprise Data Science/AI platforms.

Required Skills

  • Strong AWS Infrastructure experience (EKS, EC2, Lambda, ECR, Athena, Glue)
  • Hands-on Kubernetes administration (EKS, RBAC, Ingress, CNI, Storage, Upgrades)
  • Terraform (Infrastructure as Code)
  • CI/CD pipeline experience (Azure DevOps preferred)
  • AWS IAM, VPC, Security Groups, Audit Logging
  • Docker & Container Management
  • Experience supporting AI/ML platforms (Shakudo, SAS Viya) is a plus
  • Database infrastructure support (Athena, Oracle, MySQL, PostgreSQL)

Key Responsibilities

  • Manage and support AWS EKS clusters and cloud infrastructure.
  • Provision AWS resources using Terraform.
  • Build and maintain CI/CD pipelines.
  • Manage container images in Amazon ECR.
  • Ensure cloud security, IAM, networking, and compliance.
  • Perform Kubernetes upgrades, patching, and production support.
  • Support Data Science platform infrastructure and troubleshoot issues.
  • Collaborate with Network, Security, Database, and Architecture teams.

Skills

Docker
MySQL
Oracle
AWS
Azure
Kubernetes
PostgreSQL
Terraform

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