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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in performance testing for cloud-based systems, focusing on scalability, resilience, and deep performance analysis. Proficient in translating business and technical requirements into comprehensive performance-testing plans while establishing Non-Functional Requirements and analyzing performance results to recommend improvements.
Highest-signal resume keywords
Performance TestingCloud Architecture UnderstandingPerformance Analysis ExpertiseTechnical LeadershipAWS Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Performance TestingTest AutomationPerformance EngineeringRoot-Cause AnalysisCapacity PlanningPython ProgrammingScala ProgrammingNetwork Latency TuningCaching StrategiesDatabase Query Optimization
Soft Skills
Analytical SkillsProblem-Solving SkillsTechnical CommunicationCollaboration SkillsClient Management Skills
Tools & Technologies
AWSAWS CloudWatch Logs InsightsAWS X-RayAmazon EC2 Auto ScalingAmazon AuroraDynamoDB Performance InsightsDistributed Gatling EnterpriseK6 CloudOpenTelemetryDynatrace
Certifications & Qualifications
AWS Certified DevOps EngineerAWS Certified Solutions Architect – ProfessionalSRE FundamentalsAdvanced Cloud Systems Performance & Profiling
Industry Keywords
Cloud-Based SystemsMicroservicesServerlessContainersNon-Functional RequirementsService Level AgreementsService Level ObjectivesError BudgetsFinOpsPerformance Metrics
Tech Stack
Tools & technologiesAWSCloudDynamoDBEC2GrafanaMicroservicesPrometheusPythonRayScala
About the role
Key responsibilities & impact- Lead performance testing for complex cloud-based systems, focusing on scalability, resilience, and deep performance analysis
- Define and set up performance testing approaches for cloud-native components and architectures, including microservices, serverless, and containers
- Test and validate cloud elasticity, auto-scaling policies, failover, and self-healing mechanisms under peak load
- Perform deep-dive root-cause analysis, including heap dumps, thread dumps, memory leak identification, and database query optimization
- Establish Non-Functional Requirements (NFRs), SLAs, SLOs, and Error Budgets with product managers
- Translate business and technical requirements into performance-testing plans, defining testing scope, test scenarios, and relevant metrics
- Analyze performance results and system behavior to identify bottlenecks, determine root causes, and recommend improvements
- Help shape performance practices and share expertise with other engineers
Requirements
What you’ll need- 4–7 years of experience in software testing, test automation, performance testing, or performance engineering
- Strong hands-on experience with performance testing, including the ability to start performance testing for a component from scratch
- Strong understanding of system architecture and how application, infrastructure, cloud, and network components affect performance
- Expertise in performance analysis, including network latency tuning, caching strategies, and database connection pooling
- Experience with capacity planning and cost-vs-performance analysis, with FinOps awareness
- Strong analytical and problem-solving skills, with the ability to investigate performance issues and determine their root causes
- Programming or scripting skills, preferably with Python or Scala
- Hands-on experience with AWS or another major cloud platform
- Strong technical communication and collaboration skills
- Strong client and stakeholder management skills and ability to translate business and technical requirements into clear performance-testing plans
- Technical leadership skills and experience mentoring junior and/or intermediate engineers
- Upper-Intermediate+ English level
- Desirable: experience with AWS CloudWatch Logs Insights, AWS X-Ray, Amazon EC2 Auto Scaling, Amazon Aurora/DynamoDB Performance Insights, or AWS Compute Optimizer
- Desirable: experience with Distributed Gatling Enterprise, k6 Cloud, Gremlin/Chaos Mesh
- Desirable: experience with OpenTelemetry, Dynatrace, Datadog APM, or Prometheus/Grafana
- Desirable: relevant certifications/courses, such as AWS Certified DevOps Engineer/Solutions Architect – Professional, SRE Fundamentals, or Advanced Cloud Systems Performance & Profiling
Benefits
Comp & perks- Contractor engagement
- Remote-first work
- Global team environment across 55+ countries and five continents
- Opportunity to lead performance testing for complex cloud-based systems
- Opportunity to solve challenging performance problems across application, infrastructure, and cloud layers
- Opportunity to shape performance practices and share expertise with other engineers
