Source description
About the role
About the role This is a high-growth role designed for an early-career engineer who is passionate about infrastructure, automation, and problem-solving. You wont just be fixing things when they break; youll be helping us build resilient systems so they dont break in the first place. What You'll Do (Responsibilities) Monitor & Alert: Keep a watchful eye on system health using tools like [Prometheus / Datadog / Grafana]. You will help tune alerts to reduce fatigue and ensure we only wake up for real emergencies. Incident Response: Serve as an early responder for system issues. You'll help troubleshoot, mitigate downtime, and participate in blameless post-mortems to ensure we learn from every outage.Automate Everything: Write scripts in [Python / Bash / Go] to automate manual, repetitive toil so the team can focus on higher-value engineering work.Maintain Infrastructure: Assist in provisioning and managing cloud infrastructure on [AWS / GCP / Azure] using Infrastructure as Code (IaC) tools like [Terraform / Ansible].Support CI/CD: Help maintain deployment pipelines (e.g., [GitHub Actions / GitLab CI / Jenkins]) to ensure developers can ship code quickly and safely.Documentation: Write and update runbooks, system documentation, and architecture diagrams so the whole team can share knowledge effectively. What Were Looking For (Requirements) Education/Experience: B.S. in Computer Science, IT, or a related field (or equivalent hands-on experience/bootcamp completion). OS Fundamentals: Solid understanding of Linux/Unix environments and command-line utilities.Scripting Skills: Proficiency in at least one programming or scripting language (Python, Bash, Go, or Ruby).Networking Basics: A foundational understanding of networking concepts (TCP/IP, DNS, HTTP/S, Load Balancing).Curiosity & Communication: A strong desire to learn complex systems, ask good questions, and collaborate across engineering teams. Nice to Haves (Not Required, But a Plus) Cloud Exposure: Familiarity with deploying applications to AWS, GCP, or Azure. Containers: Basic understanding of Docker and container orchestration (Kubernetes, ECS). Version Control: Experience using Git and collaborative workflows (Pull Requests, code reviews). .
More at OSpectra AI