Reliability Engineer

5 days ago

Tampa, Florida, United States Data Management Group Full time
Job Description

We are seeking a highly skilled Reliability Engineer to join our team at Data Management Group. As a key member of our Technology, Infrastructure & Operations teams, you will play a critical role in ensuring the reliability and performance of our cloud-based services and applications.

Key Responsibilities
  • Develop and Maintain Comprehensive Monitoring Solutions: Design and implement monitoring solutions for cloud-based services and applications, ensuring real-time insights into system performance and health.
  • Configure Monitoring Tools and Systems: Set up monitoring tools and systems to collect relevant metrics, logs, and traces, providing a clear understanding of system performance and capacity.
  • Create Custom Dashboards and Reports: Develop custom monitoring dashboards and reports using Splunk, DataDog, DynaTrace, or other tools, to provide actionable insights for stakeholders.
  • Proactively Identify and Address Performance Issues: Continuously monitor cloud infrastructure performance and capacity, anticipating and addressing potential scalability issues to ensure system reliability and resilience.
  • Automate Tasks to Streamline Operational Processes: Work on automating tasks to reduce manual intervention and improve operational efficiency.
  • Collaborate with Cross-Functional Teams: Collaborate with cross-functional teams to investigate and resolve critical incidents, ensuring minimal impact on end-users.
  • Work with Problem Management Team: Participate in post-mortem analysis of incidents to identify root causes and implement preventive measures.
  • Configure and Maintain Custom Dashboards and Alerts: Set up and maintain custom dashboards and alerts in various monitoring tools to ensure timely notification of performance issues.
  • Develop Scripts for Monitoring: Develop scripts for monitoring using PowerShell, Python, and Shell scripting to enhance system monitoring and performance analysis.
  • Develop Metrics for Business and Technical Teams: Create metrics for both business and technical teams to determine the health of systems and inform decision-making.
  • Provide On-Call Support: Provide on-call support as needed to ensure system reliability and performance.
  • Lead Performance Engineering Efforts: Lead and coordinate performance engineering efforts for medium to large initiatives, ensuring effective implementation of performance engineering best practices.
  • Collect and Document System Performance Characteristics: Collect and document expected system performance and operational characteristics to inform system design and implementation.
  • Develop and Execute Performance Tests: Develop and execute performance tests, including load, stress, endurance, fail-over, and interoperability tests, to ensure system reliability and performance.
  • Conduct Technical Analysis of Performance Test Results: Conduct technical analysis of performance test results and production systems, providing recommendations on performance tuning, systems, and infrastructure.
  • Define Strategy for Performance Diagnostics and Monitoring: Define the strategy for enabling performance diagnostics and monitoring using Application Performance Management (APM) tools, other monitoring tools, and diagnostic techniques.
  • Collaborate with Developers: Collaborate with developers to promote the concept of performance engineering during all phases of the Software Development Life Cycle (SDLC) to detect and correct performance issues earlier in the lifecycle.
  • Lead Peer Reviews: Lead peer reviews to ensure the completeness of all test assets created.
  • Resolve Performance and Stability Issues: Resolve performance and stability issues in the performance test environment.
  • Develop Performance Engineering Work Plan: Develop performance engineering work plan structure and project schedule.
  • Review Architectural Design for Performance Risks: Review architectural design for performance risks and potential issues.
  • Prepare Capacity Analysis: Prepare capacity analysis when applicable.

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