Sr. DevOps Engineer

Insight Global
Glendale, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Glendale, United States of America

Tech stack

Microsoft Windows
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Apple Mac Systems
User Authentication
Bash
Configuration Management
Continuous Delivery
Linux
DevOps
Monitoring of Systems
Identity and Access Management
Python
Key Management
Ansible
Zero Trust Network Access
Vault (Revision Control System)
TypeScript
Virtualization Technology
vSphere
Software Vulnerability Management
Datadog
Cloud Platform System
Okta
Kubernetes Helm Charts
Gitlab
Cloudformation
Gitlab-ci
Git Flow
Kubernetes
Infrastructure Automation Frameworks
Bare Metal
Hashicorp
Terraform
Multiplatform
Docker
Static Application Security Testing
Vulnerability Analysis

Job description

Design, implement, and maintain GitLab CI/CD pipelines for multi-platform builds including Linux, Windows, and macOS

Manage and optimize Kubernetes infrastructure across multiple production and development EKS clusters and on-premise clusters

Build and maintain Infrastructure as Code using Ansible, Cloudformation, Packer, and OpenTofu

Implement and maintain GitLab Runner infrastructure across multiple environments

Deploy and maintain monitoring solutions using DataDog for Kubernetes clusters and infrastructure health

Work with container orchestration using Docker, Kubernetes, and Helm charts

Implement security best practices including SAST scanning, vulnerability management, and zero-trust architecture

Collaborate with development teams to identify and resolve deployment bottlenecks

Build creative and optimized solutions to address infrastructure and automation requirements

Contribute to and follow best practices established by the company

Participate in an on-call rotation to support production systems, respond to incidents, and help maintain high uptime and reliability across environments

Requirements

7+ years of hands-on DevOps engineering experience in production environments

Strong experience with GitLab CI/CD including pipeline design, GitLab Runner configuration, and cache optimization

5+ years of hands-on Kubernetes experience including EKS cluster management, Bare-Metal clusters, Helm charts, and GitOps workflows

Strong proficiency with Infrastructure as Code using OpenTofu with multiple providers (AWS, Vault, Okta, DataDog)

Experience with Packer for automated image building across multiple operating systems

Hands-on experience with Docker containerization and container orchestration

5+ years working with AWS services including S3, EC2, IAM, EKS, Transit Gateways, Cloudfront, etc

Proficiency in scripting and automation using Python, Bash/Shell, and TypeScript

Strong experience with HashiCorp Vault for secrets management and authentication

Experience with monitoring and observability tools, preferably DataDog

In-depth knowledge of Git workflows, branches, tags, hooks, and GitOps practices

Experience with VMware vSphere or similar virtualization platforms

Strong understanding of security best practices, including SAST, vulnerability scanning, and zero-trust architecture

Experience troubleshooting build and configuration issues on Linux, macOS, and Windows

Deep understanding and knowledge of Linux administration and management, with a focus on networking

Experience with Flux CD for GitOps-based continuous deployment

A security-first focused mindset

Excellent written and verbal communication skills Technologies

  • GitLab CI

Central system for builds, tests, security scans, and deployments.

  • Kubernetes and EKS

Standard platform for running and scaling modern applications.

  • OpenTofu

Terraform compatible tool used for infrastructure automation.

  • Ansible

Used for configuration management and system automation.

  • Packer

Builds consistent and repeatable server images across operating systems.

  • AWS

Primary cloud platform for compute, networking, and storage services.

  • Datadog

Apply for this position