Jobs · Engineering · Illinois

Site Reliability Engineer

Inherent Technologies · Schaumburg, IL · 2 wk ago
EngineeringFull-time

Location: Schaumburg, IL or Secaucus, NJ (hybrid) • Duration: 1 year

Responsibilities

  • Monitor, maintain, and improve the reliability, availability, and performance of production systems.
  • Design and implement monitoring, alerting, logging, and observability solutions.
  • Establish and track Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Error Budgets.
  • Automate operational tasks and repetitive processes using scripting and Infrastructure as Code (IaC).
  • Lead incident response activities, troubleshooting, root cause analysis (RCA), and post-incident reviews.
  • Collaborate with development, infrastructure, and platform teams to improve system reliability and resilience.
  • Perform capacity planning, performance tuning, and scalability assessments.
  • Support CI/CD pipelines and deployment automation initiatives.
  • Implement high-availability, disaster recovery, and failover strategies.

Requirements

  • 5–10+ years of overall IT experience.
  • 5+ years of hands-on experience in Site Reliability Engineering, Production Support, DevOps, or Cloud Operations roles.
  • Strong experience with Linux/Unix administration.
  • Proficiency in scripting languages such as Python, Shell, or PowerShell.
  • Hands-on experience with cloud platforms (AWS, Azure, or GCP).
  • Experience with containerization technologies such as Docker and Kubernetes.
  • Knowledge of monitoring and observability tools such as Prometheus, Grafana, ELK, Splunk, Dynatrace, or Datadog.
  • Understanding of CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.
  • Experience with Infrastructure as Code tools such as Terraform, Ansible, or CloudFormation.
  • Strong troubleshooting, debugging, and problem-solving skills.
  • Understanding of networking, security, and distributed systems concepts.

Skills

  • Python/R and ML libraries (scikit-learn, TensorFlow, PyTorch).
  • Data analysis and visualization (Pandas, NumPy, Power BI/Tableau).
  • SQL and database management.

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