Performance Architect-Chaos tools, New Relic, AWS CloudWatch

Smart IT Frame LLC; Atlanta (GA); On-site; USD 150,000 - 190,000; Full time

Job summary

Smart IT Frame LLC seeks a seasoned Architect specializing in Performance Testing and Chaos Engineering to drive reliability and scalability across U.S. systems. You will design testing strategies, lead chaos experiments, and integrate testing into CI/CD pipelines while mentoring junior engineers.

You will collaborate with development and operations teams, monitor metrics with New Relic and cloud-native tools, and stay current with industry best practices in nonfunctional testing.

Qualifications

• 15 years in Performance Testing and Chaos Engineering.
• Design and implement performance testing strategies.
• Proactive identification of vulnerabilities using Chaos Engineering.
• Mentor junior team members and promote knowledge sharing.

Responsibilities

• Lead planning and execution of performance and chaos tests across multiple applications and services.
• Develop and maintain automated test scripts and frameworks for chaos experiments.
• Identify performance bottlenecks and recommend optimizations.
• Conduct root cause analysis for chaos test failures and drive fixes.
• Drive adoption of chaos engineering culture and practices within the organization.
• Provide technical guidance to cross-functional teams on testing methodologies.
• Monitor and analyze system performance using New Relic, AWS CloudWatch, and Azure Monitor.

Skills

Performance Testing

Chaos Engineering

Monitoring & Observability

CI/CD

Mentoring

Cross-functional Collaboration

Tools

Chaos Monkey

Gremlin

New Relic

AWS CloudWatch

Azure Monitor

Job description

At Smart IT Frame, we connect top talent with leading organizations across the USA. With over a decade of staffing excellence, we specialize in IT, healthcare, and professional roles, empowering both clients and candidates to grow together.

Job Description:

• Seeking an experienced architect with 15 years in Performance Testing and Chaos Engineering skilled in leveraging advanced monitoring and cloud native tools to enhance system reliability and scalability
• Design and implement comprehensive performance testing strategies to ensure system reliability and scalability.
• Utilize Chaos Engineering principles to proactively identify system vulnerabilities and enhance resilience.
• Work extensively with Chaos Monkey Gremlin and related tools to simulate failures and analyze system behavior under stress.
• Collaborate with development and operations teams to integrate performance and chaos testing into CICD pipelines.
• Monitor and analyze system performance metrics using tools such as New Relic AWS CloudWatch and Azure Cloud Monitor to provide actionable insights for continuous improvement.
• Stay updated with the latest trends and best practices in Performance Testing Chaos Engineering and Application Performance Monitoring.
• Gather Nonfunctional Requirements NFR through log analysis user interviews reverse engineering and documentation.
• Mentor junior team members and promote knowledge sharing within the team Roles and Responsibilities.
• Lead the planning and execution of performance and chaos engineering tests across multiple applications and services.
• Develop and maintain automated test scripts and frameworks for chaos experiments Identify performance bottlenecks and recommend optimizations to improve system efficiency.
• Conduct root cause analysis for failures detected during chaos tests and collaborate with stakeholders to implement fixes.
• Drive the adoption of chaos engineering culture and practices within the organization.
• Provide technical guidance and support to cross functional teams on performance and chaos testing methodologies.
• Utilize Application Performance Monitoring tools like New Relic for detailed performance monitoring and analysis.
• Employ cloud native monitoring services such as AWS CloudWatch and Azure Cloud.
• Monitor to track system health and performance.
• Lead NFR gathering activities including log analysis user interviews reverse engineering and documentation to define performance criteria.
• Prepare detailed reports and documentation on test results findings and improvement plans