Description

You will own the monitoring, performance engineering, and reliability of cloud and on-premise services.

Responsibilities

• Develop and maintain comprehensive monitoring solutions, dashboards, and custom alerts within DataDog.
• Execute performance testing including load, stress, endurance, and fail-over to identify stability issues.
• Automate operational tasks and streamline processes to reduce manual intervention.
• Collaborate with cross-functional teams to investigate critical incidents and conduct post-mortem root cause analysis.
• Lead performance engineering for medium to large initiatives, including capacity analysis and architectural risk reviews.

Required Skills

• 7+ years of experience in reliability or performance engineering.
• Expertise in DataDog, including agent installation on Linux and Windows and YAML configuration.
• Proficiency in Python, Shell scripting, and PowerShell.
• Experience with YAML and JSON for configuration and data manipulation.
• Hands-on experience with Splunk and Application Performance Management (APM) tools.
• Strong understanding of the SDLC to integrate performance engineering into early development phases.
• Ability to work with networking teams to configure dashboards and alerts.
• Experience writing custom monitors and interacting with the DataDog API.

Preferred Skills

• Experience conducting technical analysis of production systems to provide infrastructure tuning recommendations.

Key Skills

Education

Any Gradute