Job Description

Key Accountabilities

• Develop and maintain observability using AWS/GCP tools and Datadog.
• Keep monitoring tool software currency up to date across Cloud/Legacy landscape
• Keep Engineering updated with logging/tracing standards
• Good knowledge of Splunk or other logging tools like ELK stack
• Have good understanding of Application Performance Management
• Implement best practices for observability, including metrics, logging, and tracing.
• Collaborate with engineering and operations teams to troubleshoot and resolve performance issues.
• Automate observability processes and integrate them into CI/CD pipelines.
• Analyze and interpret monitoring data to provide actionable insights and recommendations.
• Stay updated with the latest advancements in GCP and Datadog to continuously improve our observability capabilities
• Good knowledge of linux/windows environment
• Work in Scaled Agile Framework

What experience you need

• BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent job
• experience required
• 5+ years experience with monitoring tools Google/AWS Cloud Monitoring, Appdynamics, DataDog, Splunk , Elastic Search or
• similar
• 5+ years' experience in system support, coding or operations.
• Hands-on experience with Windows/Linux environments
• Excellent problem-solving and communication skills
• Provide step-by-step technical help, both written and verbal

What could set you apart

• You have expertise designing, analyzing and troubleshooting large-scale distributed systems.
• You take a system problem-solving approach, coupled with strong communication skills and a sense of ownership and drive
• You have experience managing Infrastructure as code via tools such as Terraform or CloudFormation
• You are passionate for automation with a desire to eliminate toil whenever possible
• You've built software or maintained systems in a highly secure, regulated or compliant industry
• You thrive in and have experience and passion for working within a DevOps culture and as part of a team