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.