Site Reliability Engineer

Hybrid in Austin, TX, US • Posted 59 minutes ago • Updated 59 minutes ago
Contract W2
12 Months
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Reliability Engineering
  • Performance Analysis
  • Python
  • Terraform
  • Splunk
  • Grafana
  • Google Cloud Platform
  • Kubernetes
  • Linux
  • Continuous Integration
  • Configuration Management
  • Ansible
  • Continuous Delivery
  • IaaS
  • Disaster Recovery
  • Conflict Resolution
  • Analytics
  • Artificial Intelligence
  • Operational Efficiency
  • Problem Solving
  • Microsoft Azure
  • Amazon Web Services
  • SRE

Summary

Job Summary

We are seeking a motivated Site Reliability Engineer (Contractor) with 3 to 5 years of experience in automation, cloud infrastructure, and production operations. The ideal candidate has a strong automation-first mindset and enjoys solving complex operational challenges. This role focuses on improving reliability, observability, operational efficiency, and automation across on-premises and cloud platforms.

Key Responsibilities

Automation & Platform Engineering

• Develop Python-based automation solutions to reduce manual operational effort.

• Automate infrastructure management across Linux, Windows, Kubernetes, Google Cloud Platform, and cloud-native environments.

• Integrate tools and platforms through APIs and client libraries.

• Assist in implementing infrastructure automation using Ansible, Terraform, or similar technologies.

• Support CI/CD automation and deployment reliability initiatives.

Reliability & Operations

• Monitor and maintain production systems to meet reliability and availability objectives.

• Participate in incident response, troubleshooting, and root cause analysis activities.

• Develop automation and operational improvements to prevent recurring issues.

• Support disaster recovery, failover testing, and operational readiness activities.

• Perform performance analysis and system health reviews.

Observability & Monitoring

• Build and maintain dashboards, alerts, and monitoring solutions using Splunk, Grafana, Prometheus, Google Cloud Platform Operations Suite, or similar tools.

• Improve visibility into application and infrastructure health through metrics, logs, and traces.

• Investigate alerts and identify opportunities to reduce noise and improve detection.

AIOps & Intelligence

• Explore AI/ML-driven operational improvements such as anomaly detection, intelligent alerting, and log analytics.

• Assist in developing automation solutions that leverage AI to improve operational efficiency.

• Participate in evaluating emerging AIOps capabilities and observability technologies.

 

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience.

• 3 to 5 years of experience in Site Reliability Engineering, DevOps, Systems Engineering, or Platform Engineering.

• Strong programming skills in Python for automation and tooling development.

• Experience supporting Kubernetes and cloud platforms (Google Cloud Platform, AWS, or Azure).

• Familiarity with infrastructure automation and configuration management tools.

• Experience with monitoring and observability platforms such as Splunk, Grafana, Prometheus, Datadog, or similar.

• Understanding of Linux systems, networking, and distributed applications.

• Strong analytical, troubleshooting, and problem-solving skills.

• Ability to work effectively in fast-paced, mission-critical environments.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: cybrthnk
  • Position Id: 9080384
  • Posted 59 minutes ago
Contact the job poster
JS

Jimmy Singh

Recruiter @ cyberThink, Inc.
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