Data Site Reliability Engineer (SRE) with Datadog Real User Monitoring (RUM)

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Job Overview

The Data Site Reliability Engineer (SRE) for Datadog Real User Monitoring (RUM) at Cygnus Professionals Inc. plays a critical role in maintaining the reliability, performance, and scalability of our data services. This position will work closely with cross-functional teams to ensure the seamless collection and analysis of real user data, aiming to optimize our applications and enhance the user experience. The ideal candidate will possess deep expertise in site reliability engineering principles, a strong background in data analytics, and proficiency in utilizing Datadog RUM to monitor application performance and usability.

Job Responsibilities

• Design, implement, and maintain RUM instrumentation to monitor customer interactions with applications.
• Analyze performance metrics using Datadog RUM to identify areas for improvement.
• Collaborate with development teams to integrate performance monitoring into the Software Development Lifecycle (SDLC).
• Establish best practices for site reliability and data governance.
• Implement automated testing and monitoring solutions to ensure data accuracy and application reliability.
• Provide on-call support for production systems, focusing on troubleshooting and incident management.
• Drive initiatives for continuous performance improvement and efficiency enhancements.
• Document processes, procedures, and incident reports to foster knowledge sharing.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 3 years experience in site reliability engineering or a related field.
• Proficiency in Datadog RUM and experience with other monitoring tools.
• Strong understanding of web technologies (HTML, CSS, JavaScript) and back-end services.
• Experience with cloud service providers (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes).
• Excellent analytical and problem-solving skills.
• Strong communication skills, with the ability to collaborate effectively across teams.
• Familiarity with programming languages such as Python, Go, or Java.

Technologies & Tools

In this role, the Data Site Reliability Engineer will utilize a variety of technologies and tools, including Datadog Real User Monitoring, cloud services like AWS, GCP, or Azure, containerization platforms such as Docker and Kubernetes, as well as programming languages such as Python and Java. Familiarity with CI/CD pipelines, version control systems (e.g., Git), and automated testing frameworks will also be beneficial in ensuring robust site reliability practices.

Ideal Candidates

The ideal candidate for this position will demonstrate a proactive mindset, showcasing strong analytical capabilities and a passion for enhancing user experience through data-driven insights. They should possess excellent collaboration skills, thriving in a team-oriented environment while being able to take ownership of their responsibilities. A commitment to continuous learning and keeping abreast of industry trends will also set candidates apart, enabling them to contribute effectively to the dynamic nature of our work and our mission to deliver exceptional service to our customers.