Site Reliability Engineer

Shrive Technologies; Schaumburg (IL); On-site; USD 120,000 - 180,000; Full time

Job summary

Shrive Technologies seeks an experienced Site Reliability Engineer to ensure reliability and performance of production systems across cloud and on-prem workloads. You will design observability, automated remediation, and scalable architectures, while supporting CI/CD pipelines and incident response.

Responsibilities include capacity planning, disaster recovery, and collaboration with DevOps, infrastructure, and platform teams to improve resilience and reduce outages.

Qualifications

• Strong Linux/Unix administration experience.
• Scripting in Python, Shell or PowerShell.
• Cloud platforms: AWS, Azure, or GCP.
• Docker and Kubernetes proficiency.
• Observability tools: Prometheus, Grafana, ELK, Splunk, Dynatrace, Datadog.
• CI/CD tooling: Jenkins, GitHub Actions, GitLab CI, Azure DevOps.
• Infrastructure as Code: Terraform, Ansible, CloudFormation.
• Troubleshooting, debugging and problem solving.
• Networking, security and distributed systems basics.

Responsibilities

• Monitor, maintain, and improve reliability, availability, and performance of production systems.
• Design and implement monitoring, alerting, logging, and observability solutions.
• Establish and track SLIs, SLOs, and error budgets.
• Automate operational tasks using scripting and IaC.
• Lead incident response, RCA, and post-incident reviews.
• Collaborate with development, infrastructure, and platform teams to enhance resilience.
• Perform capacity planning, performance tuning, and scalability assessments.
• Support CI/CD pipelines and deployment automation.
• Implement high-availability, disaster recovery, and failover strategies.

Skills

Site Reliability Engineering

Production Support

DevOps

Cloud Operations

Python

Shell

PowerShell

Linux/Unix administration

SRE tooling

Tools

Docker

Kubernetes

Prometheus

Grafana

ELK

Splunk

Dynatrace

Datadog

Jenkins

GitHub Actions

GitLab CI

Azure DevOps

Terraform

Ansible

CloudFormation

Job description

Mandatory Skills

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

Key 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.

Required Skills

• 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.

Experience

• 5 10+ years of overall IT experience.
• 5+ years of hands-on experience in Site Reliability Engineering, Production Support, DevOps, or Cloud Operations roles.