Intermediate Test Engineer Automation - OP02251-01

At Dev.Pro, a US-based outsourced software development company, we partner with businesses worldwide across fintech, retail, hospitality, and beyond. Operating as a remote-first company with a team in 55+ countries, we focus on aligning technical expertise with client needs and maintaining adaptability to create lasting partnerships.

• 1.5-4 years of experience in software testing or test automation
• Strong understanding of software testing principles and QA practices
• Strong Python and/or Scala scripting skills, including object-oriented programming
• Basic understanding of cloud-based systems and infrastructure components such as streams, queues, and hosts
• Experience analyzing test results and identifying issues or unexpected behavior
• Strong analytical and problem-solving skills
• Strong technical communication and collaboration skills
• Willingness to develop skills in performance testing and performance analysis
• Upper-Intermediate English level

Desirable:

• Hands-on experience with performance testing including analyzing performance test results and metrics
• Experience profiling microservices, REST APIs, and database response times under load
• Experience with AWS or another major cloud platform
• Experience with AWS services such as CloudWatch, X-Ray, Fargate/ECS, or AWS Distributed Load Testing Solution
• Experience with Gatling, Locust, or k6
• Experience with containerization of load injection nodes using Docker
• Familiarity with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI
• Familiarity with observability tools such as Datadog, Grafana, Prometheus, or New Relic
• Relevant certifications/courses such as AWS Certified Developer/Solutions Architect – Associate, ISTQB Performance Testing Specialist, Gatling Academy, or k6/Grafana training

• Create, maintain, and execute automated tests
• Design workload scenarios based on production traffic and SLA/SLO requirements
• Script dynamic test scenarios with parameterization, correlation, data driving, and assertions
• Integrate load tests into CI/CD pipelines for automated regression testing
• Analyze performance test results and metrics to identify performance issues
• Profile microservices, REST APIs, and database response times under load
• Identify client/server-side bottlenecks and collaborate with developers on fixes
• Share test results and performance findings with technical teams and stakeholders