Reliability Engineer - Ansible and DataDog - WFH - 1099 / C2C ok - Datamanagementgroup : Job Details

Looking for an experienced Reliability Engineer to support critical projects for our Technology, Infrastructure & Operations teams. Work from home, work to be done primarily on US Eastern Timezone.

• Minimum of 7 years performance engineering and performance testing experience
• MUST HAVE 3+ years of recent work with Ansible
• MUST HAVE 4+ years of work with DataDog
• Excellent English Communications skills - Verbal & Written (idiomatic English)
• Experience managing performance engineering efforts for applications strongly preferred
• Knowledge of developing scripts for monitoring using 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 AppDynamics or DataDog are highly preferred
• Proficiency in performance tuning is preferred
• Good understanding of the UI, Middleware, and backend Databases
• BA/BS degree in Information Technology, Computer Science, or related field of study

Duties include:

• Develop and maintain comprehensive monitoring solutions for cloud-based services and applications
• Configure monitoring tools and systems to collect relevant metrics, logs, and traces
• Create custom monitoring dashboards and reports using Splunk, DataDog, DynaTrace, or other tools, to provide real-time insights into system performance and health
• Continuously monitor the cloud infrastructure's performance and capacity, anticipating and addressing potential scalability issues
• 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
• Configure and maintain custom dashboards and alerts in various monitoring tools
• Create custom reports, deliver report presentations to various stakeholders
• Develop scripts for monitoring PowerShell, Python, 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 the performance test environment
• Develop a performance engineering work plan structure and project schedule
• Review architectural design for performance risks and potential issues
• Prepare capacity analysis when applicable