Overview
On Site
120k - 135k
Full Time
Skills
Operational Efficiency
Leadership
Real-time
DevOps
Systems Engineering
GitHub
Terraform
Ansible
Scripting
Bash
Python
Docker
Kubernetes
Management
Cloud Computing
Computer Networking
Problem Solving
Conflict Resolution
Critical Thinking
Communication
SaaS
Regulatory Compliance
System Monitoring
IaaS
Continuous Integration
Continuous Delivery
Microservices
Orchestration
Artificial Intelligence
Machine Learning (ML)
Mentorship
Collaboration
Amazon Web Services
Microsoft Azure
Insurance
SAP BASIS
Job Details
This is a full time DevOps Engineer opportunity based in Phoenix, AZ, working with a local software organization that builds AI and machine learning platforms for highly regulated industries. The team develops automation and data driven tools that improve operational efficiency, safety, and compliance within complex systems. The environment blends on prem and cloud infrastructure (primarily Azure and AWS), and you'll work with hands on modern DevOps tooling like GitHub Actions, Terraform, Ansible, Docker, and Python.
What makes the opportunity exciting is that the impact and visibility you'll have within a small, close knit engineering team that's scaling quickly. The company is growing fast and needs someone who's ready to take ownership, bring new ideas to the table, and help mature their infrastructure practices. You'll get to collaborate directly with leadership, influence technical decisions, and see the results of your work in real time.
Required Skills & Experience
Tech Breakdown
What makes the opportunity exciting is that the impact and visibility you'll have within a small, close knit engineering team that's scaling quickly. The company is growing fast and needs someone who's ready to take ownership, bring new ideas to the table, and help mature their infrastructure practices. You'll get to collaborate directly with leadership, influence technical decisions, and see the results of your work in real time.
Required Skills & Experience
- 3+ years of experience in a DevOps, Systems Engineering, or related infrastructure role
- Strong experience with CI/CD automation tools (preferably GitHub Actions or similar)
- Hands-on experience with Infrastructure as Code using Terraform and/or Ansible
- Proficiency with scripting languages such as Bash or Python
- Familiarity with containerization using Docker or Podman
- Working knowledge of Kubernetes and Helm for basic deployment and maintenance tasks
- Experience managing both on-prem and cloud environments (AWS or Azure preferred)
- Solid understanding of networking, system monitoring, and troubleshooting fundamentals
- Strong problem-solving and critical-thinking skills with the ability to reason through technical challenges independently
- Excellent communication and collaboration skills, with the ability to work effectively across small teams
- Experience with Azure GovCloud or AWS GovCloud environments
- Background in maintaining or scaling infrastructure for SaaS or enterprise platforms
- Knowledge of automation for security, compliance, or system monitoring
- Familiarity with hybrid or multi-cloud infrastructure setups
- Exposure to CI/CD best practices beyond maintenance-building reusable templates or modules
- Understanding of microservices architecture and container orchestration concepts
- Experience supporting production systems in highly regulated industries
- Interest in working with AI or machine learning platforms from an infrastructure perspective
- Ability to mentor junior engineers or collaborate closely with cross-functional teams
- Strong curiosity for learning new tools, technologies, and processes to improve efficiency
Tech Breakdown
- 80% AWS
- 20% Azure
- 100% Hands On
- Bonus OR Commission eligible
- Medical, Dental, and Vision Insurance
- Vacation Time
- Stock Options
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.