Senior Test Engineer Automation - OP02251-02
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What you'll do
- Define and set up performance testing approaches for cloud-native components and architectures (microservices, serverless, containers)
- Test and validate cloud elasticity, auto-scaling policies, failover, and self-healing mechanisms under peak load
- Perform deep-dive root-cause analysis (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
What they're looking for
- 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
Nice to have
- Experience with AWS CloudWatch Logs Insights, AWS X-Ray, Amazon EC2 Auto Scaling, Amazon Aurora/DynamoDB Performance Insights, AWS Compute Optimizer
- Experience with Distributed Gatling Enterprise, k6 Cloud, Gremlin/Chaos Mesh
- Experience with OpenTelemetry, Dynatrace, Datadog APM, or Prometheus/Grafana
- Relevant certifications/courses, such as AWS Certified DevOps Engineer/Solutions Architect – Professional, SRE Fundamentals, or Advanced Cloud Systems Performance & Profiling
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
We are hiring in Europe!
🟢 At Dev.Pro, a US-based outsourced software development company, we're looking for contractors to join our global team of IT professionals helping tech companies scale their business through software engineering expertise. Operating as a remote-first company, our experts work across 55+ countries on five continents, giving us the flexibility and skillset to deliver high-quality engineering for projects of any size or complexity.
We invite a Senior Test Automation Engineer to join our collaborative team. In this role, you'll lead performance testing for complex cloud-based systems, helping ensure their performance, scalability, and resilience. You’ll design performance-testing approaches, analyze system behavior across the stack, identify root causes of performance issues, and recommend improvements.
🟩 What's in it for you:
- Lead performance testing for complex cloud-based systems and architectures
- Solve challenging performance problems across application, infrastructure, and cloud layers
- Help shape performance practices while sharing your expertise with other engineers
✅ Is that you?
- 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, AWS Compute Optimizer
- Experience with Distributed Gatling Enterprise, k6 Cloud, Gremlin/Chaos Mesh
- Experience with OpenTelemetry, Dynatrace, Datadog APM, or Prometheus/Grafana
- Relevant certifications/courses, such as AWS Certified DevOps Engineer/Solutions Architect – Professional, SRE Fundamentals, or Advanced Cloud Systems Performance & Profiling
🧩Key responsibilities and your contribution
In this role, you'll 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 (microservices, serverless, containers)
- Test and validate cloud elasticity, auto-scaling policies, failover, and self-healing mechanisms under peak load
- Perform deep-dive root-cause analysis (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
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