Site Reliability Engineer (EMO Engineer) NEW

Computer World Services Corp. (Cws) - Mansfield, TX

Full-time - Mid Level

Remote - Mansfield, TX

Professional, Scientific, and Technical Services

About the position

The Site Reliability Engineer (EMO Engineer) at Computer World Services Corp is responsible for defining and implementing observability solutions for IT operations, ensuring high-performance and scalable infrastructure in a cloud environment. This role involves collaboration with cross-functional teams to gather requirements, architect solutions, and deploy monitoring environments that align with business needs. The engineer will also provide Tier 3 support, manage observability pipelines, and lead the migration of data feeds to enhance operational efficiency.

Responsibilities

• Design, implement, and maintain high-performance and scalable observability solutions in a cloud environment.
• Collaborate with cross-functional teams to gather requirements, architect solutions, and deploy logging and monitoring environments that align with business needs.
• Configuration and maintenance of Datadog integrations including Webhooks, Amazon, Cisco, CrowdStrike, Cribl Stream, Container, VMWare, SNMP, journald, Okta, python, Zscaler, Microsoft 365, Webhooks, Palo Alto.
• Configuration of telemetry logs through Cribl Stream including syslog, SNMP traps, JSON, AWS CloudWatch, AWS S3.
• Development of custom data/telemetry pipelines including Grok parsing, GeoIP parsing, field remapping, and error tracking.
• Ingest telemetry logs directly from cloud SaaS providers such as Zscaler, Okta, CrowdStrike, ServiceNow, Microsoft 365.
• Installation and configuration of the Datadog Agent and Datadog Synthetics Agent on Windows servers, Linux servers, and Docker/Kubernetes containers.
• Configuration of the Datadog Agent to collect host logs, processes, custom metrics (including SNMP), and network performance monitoring (NPM).
• Configuration of Synthetic testing to monitor infrastructure uptime SLAs and SLOs using private locations.
• Configuration of service-related monitors based on metrics, logs, live processes, service checks, anomalies/outliers, including monitoring of serverless such as AWS Lambda functions.
• Development of custom dashboards with a focus on reliability and performance of services.
• Configuration and management of Service Catalog, including the definition of services and associated dashboards, monitors, SLOs, synthetic tests, metrics, and logs.
• Configuration of incident management and service-based analytics including integration with JIRA and/or ServiceNow.
• Maintain code repositories and versioning of any scripting or automation.
• Provides technical leadership, oversight, governance, and direction for integrating with, and reporting on, observability pipelines.
• Provide consultative services to support the application integrations required to be observed/monitored, such as Hadoop HDFS, Hadoop Map Reduce, Hive.
• Identify opportunities for monitoring improvement, including incorporating APM and RUM monitoring.
• Update documentation and user guides as needed.
• Collaborate with cross-functional teams.
• Configure monitors & alerts to integrate with Incident Management tools.

Requirements

• Undergraduate degree in an engineering or computer science discipline and/or equivalent experience/certification.
• 7+ years of experience in information technology with hands-on technical/engineering roles.
• 2+ years of experience working with Datadog, including hands-on experience administering AND supporting a Datadog migration or implementation.
• 3+ years of experience with AWS.
• 3+ years data onboarding within a large-scale enterprise environment.
• Experience in DataDog including building dashboards, reports, and alerts to meet customer requirements.
• Experience with Infrastructure & Monitoring as Code tools.
• Experience configuring and supporting additional Datadog modules.
• Solid understanding of networking and device configuration.
• Experience with migrating from other monitoring platforms to Datadog.
• Experience with Incident Response tools.
• Knowledge of Agile and continuous integration practices.
• Collaborative mindset that thrives in fast paced environments.
• Excellent verbal and written communication skills.

Nice-to-haves

• DataDog, Cribl and AWS certifications.

Benefits

• Remote work flexibility
• Equal employment opportunity
• Affirmative action employer
• Reasonable accommodations for individuals with disabilities