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Reliability Engineer (Data Dog) Opening
Reliability Engineer
We are currently seeking a Reliability Engineer to support critical projects for our Technology, Infrastructure & Operations team, for immediate start.
The position is 100% remote. The qualifications are listed below. The candidate MUST have strong working knowledge of and experience with Data Dog.
Responsibilities:
- Develop and maintain comprehensive monitoring solutions in Data Dog for cloud-based and on premise-based services and applications.
- Configure monitoring tools and systems to collect relevant metrics, logs, and traces.
- Create custom monitoring dashboards and reports using Data Dog, to provide real-time insights into system performance and health.
- Continuously monitor the infrastructure's performance and capacity, anticipating and addressing potential scalability issues and create monitors with targeted notifications.
- Understanding on how to install the Agent in Linux and Windows and configure the YAML file to monitor the systems.
- Aggregate and visualize data in the Datadog application.
- Familiarity the Data Dog API and how to write custom monitors and alerts.
- Familiarity with Networking to work with Network team to setup Dashboards and alerts
- Proactively suggest and implement improvements to enhance the system's reliability, resilience, and fault tolerance.
- Work on automating tasks to streamline operational processes and reduce manual intervention.
- Collaborate with cross-functional teams to investigate and resolve critical incidents, ensuring minimal impact on end-users.
- Work with Problem Management team to complete post-mortem analysis of incidents to identify root causes and implement preventive measures.
- Understand the overall architecture of our systems to identify gaps in monitoring and troubleshoot issues.
Additional Responsibilities:
- Configure and maintain custom dashboards and alerts in various monitoring tools.
- Create custom reports, deliver report presentations to various stakeholders.
- YAML, JSON, Python, and shell scripting
- Develop metrics for both the business and technical teams to determine the health of systems.
- Provide on-call support as needed.
- Leads and coordinates performance engineering for medium to large initiatives.
- Collect and document expected system performance and operational characteristics.
- Collect and/or prepare test data for test execution.
- Develop and execute performance tests including load, stress, endurance, fail-over and interoperability.
- Conduct technical analysis of performance test results and production systems, and provide recommendations on performance tuning, systems, and infrastructure. Identify, report, and review defects in assessing system performance and stability.
- Defining the strategy for enabling performance diagnostics and monitoring using an Application Performance Management (APM) tool, other monitoring tools, and diagnostic techniques.
- Collaborating with developers to promote the concept of performance engineering during all phases of the SDLC to detect and correct performance issues earlier in the lifecycle.
- Leads peer reviews to ensure the completeness of all test assets created.
- Resolve performance and stability issues in performance test environment.
- Develop performance engineering work plan structure and project schedule.
- Review architectural design for performance risks and potential issues.
- Prepare capacity analysis when applicable.
Minimum Requirements:
- Requires a BA/BS degree in Information Technology, Computer Science or related field of study and a minimum of 7 years performance engineering and performance testing experience; or any combination of education and experience, which would provide an equivalent background.
Preferred Skills, Capabilities and Experiences:
- Experience managing performance engineering efforts for an application strongly preferred.
- Proficiency with the following tools is preferred (Splunk, DataDog, DynaTrace among others).
- Experience managing performance engineering efforts for an application strongly preferred.
- Knowledge of developing scripts for monitoring (PowerShell, Python and Shell scripting).
- 5 years’ of Splunk programming proficiency is highly preferred.
- 5-6 years’ experience using.NET and Java application and Application Monitoring Tools like App Dynamics or Datadog are highly preferred.
- Proficiency is performance tuning is preferred.
