System Engineer

What You Will Do

• Collaborate with cross-functional teams to design, build, and support cloud infrastructure and application deployments
• Monitor and support production systems before, during, and after releases to ensure performance, availability, and reliability
• Implement and manage Infrastructure-as-Code (IaC), CI/CD pipelines, and automation to streamline infrastructure and application delivery
• Administer and maintain servers, containers, and cloud services, applying security patches and updates following best practices
• Create and maintain documentation for infrastructure, automation processes, and disaster recovery procedures
• Define and enforce standards for cloud development, deployment, and operational support
• Break down complex tasks and provide accurate time and resource estimates aligned with Agile workflows
• Participate in Agile ceremonies and project planning to ensure smooth delivery of releases
• Support 24/7/365 monitoring and on-call escalation processes for production environments
• Stay current on emerging cloud technologies, DevOps tools, and industry best practices

Travel/Physical Demands

No special physical demands required

Technologies We Use

• Cloud: Azure
• IaC: Terraform, Saltstack
• CI/CD Pipelines: Jenkins
• Scripting: Python, Bash, Powershell
• Containerization & Orchestration: Docker, Kubernetes
• Monitoring Tools: Splunk, Nagios

Must Haves

• 2+ years of experience in Systems Administration/Cloud Infrastructure or DevOps roles
• Hands-on experience with major cloud providers
• Knowledge of CI/CD pipelines and tools
• Familiarity with Infrastructure-as-Code (IaC) tools
• Experience with monitoring and logging tools
• Knowledge of Agile methodology and DevOps culture principles (shift-left testing, continuous feedback, etc.)
• Excellent problem-solving, analytical, and communication skills
• A collaborative mindset – you thrive in cross-functional environments and bridge gaps between Dev and Ops
• A continuous improvement approach – you seek opportunities to automate, scale, and make systems more resilient
• Professional maturity – you can deliver difficult messages with empathy and clarity
• Ownership and accountability – you take initiative and work independently while supporting team goals

Nice to Haves

• Bachelor’s Degree in a related field
• Azure Fundamentals certification
• Practical experience with creating, refining and using AI-powered tools that help write and manage code, as well as building the infrastructure that provides these assistants with real-time, context-rich data

Salary: $70, 000 - $80, 000 per year.