Job Description

Site Reliability Engineer (SRE)

New York (Remote)

We are seeking an experienced Site Reliability Engineer (SRE) with strong expertise in Dynatrace to join our growing engineering team. The ideal candidate will be responsible for ensuring the reliability, scalability, performance, and observability of mission-critical applications and infrastructure across cloud and distributed environments. This role requires a hands-on engineer with deep experience in monitoring, automation, incident management, and cloud-native technologies.

Key Responsibilities

• Design, implement, and manage end-to-end monitoring and observability solutions using Dynatrace.
• Configure dashboards, alerts, anomaly detection, and root cause analysis for complex distributed systems.
• Monitor application performance, infrastructure health, and system reliability across cloud environments.
• Collaborate with DevOps, Cloud, and Engineering teams to improve system availability and operational efficiency.
• Automate operational tasks and incident response workflows using scripting and Automation tools.
• Support and troubleshoot Linux/Unix servers, containers, and Kubernetes-based environments.
• Build and maintain CI/CD pipelines to streamline deployments and reduce operational overhead.
• Perform performance tuning, capacity planning, and reliability improvements.
• Implement best practices for observability, logging, monitoring, and incident management.
• Participate in on-call rotations and production support activities when required.
• Analyze production incidents and conduct root cause analysis (RCA) with preventive action plans.

Required Skills & Qualifications

• 6–10 years of experience in Site Reliability Engineering, DevOps, or Production Support roles.
• Strong hands-on expertise with Dynatrace, including: end-to-end monitoring, alerting and problem detection, dashboard creation, application performance monitoring (APM), root cause analysis.
• Solid understanding of observability, logging, and monitoring frameworks.
• Experience working with cloud platforms such as AWS, Azure, or GCP.
• Strong Linux/Unix administration and troubleshooting skills.
• Experience with containerization and orchestration technologies: Docker, Kubernetes.
• Proficiency with CI/CD tools such as Jenkins, GitLab CI/CD, Azure DevOps.
• Strong scripting and automation skills using Python, Bash, or Shell scripting.
• Good understanding of microservices architecture and distributed systems.
• Experience with incident management, reliability engineering, and operational excellence practices.
• Strong analytical, troubleshooting, and communication skills.

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