Job Description

Role: Site Reliability Engineer (SRE)
Location: Dallas, TX or San Antonio, TX
Duration: Long-Term Contract

We are seeking a Site Reliability Engineer (SRE) with expertise in Datadog and ELK (Elasticsearch, Logstash, Kibana) technologies to enhance our logging, alerting, and monitoring systems . This role will play a critical part in improving application reliability, performance, and observability by implementing best-in-class monitoring solutions.

The engineer will work closely with the automation team to streamline processes, ensuring system health is proactively managed through intelligent alerts and dashboards. The goal is to create an optimized monitoring environment that aligns with the Automation Objectives and Key Results (OKR) strategy.

• Design, develop, and maintain observability and monitoring solutions using Datadog and ELK stack .
• Enhance application logging and alerting systems to improve incident detection and resolution time .
• Collaborate with the automation team to integrate monitoring solutions with automated workflows.
• Develop user-friendly dashboards that provide real-time insights into application performance and system health .
• Implement proactive monitoring strategies to prevent outages and improve service reliability.
• Optimize system alerts to reduce noise and ensure actionable insights for DevOps and engineering teams.
• Work closely with developers, infrastructure teams, and security teams to ensure application stability and performance.
• Contribute to the development and execution of SRE best practices , including site reliability automation, self-healing mechanisms, and incident response frameworks .
• Participate in on-call rotations to ensure high availability and quick incident resolution.

• Strong hands-on experience with Datadog and ELK stack (Elasticsearch, Logstash, Kibana) .
• Expertise in log management, metrics collection, alerting, and distributed monitoring .
• Experience in designing dashboards for real-time monitoring and analytics .
• Proficiency in automating monitoring workflows to support DevOps and SRE initiatives .
• Ability to optimize alerting mechanisms to improve operational efficiency.

• Experience with cloud platforms such as AWS, Azure, or Google Cloud .
• Familiarity with Infrastructure as Code (IaC) tools like Terraform or Ansible .
• Strong programming or scripting skills in Python, Bash, or Golang .
• Knowledge of CI/CD pipelines and how monitoring integrates with DevOps workflows .
• Understanding of Kubernetes, Docker, and containerized application monitoring .
• Strong problem-solving skills with the ability to troubleshoot complex system issues .

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