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.