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Virtuozzo • Tbilisi, Georgia
Role & seniority: Software Development in Test & Research Engineer (mid-senior, 3–5+ years SDET/QA automation)
Stack/tools: Python, Go, C; Linux; distributed architectures; cloud-native tech (Docker, Kubernetes); CI/CD; observability tools; AI-driven test automation tools (desirable)
Design and maintain automated tests and testing frameworks for functional, performance, security, and reliability use cases (including load/stress/scalability)
Set up production-like, scalable test environments for complex SaaS systems; focus on benchmarking and performance evaluation
Investigate/debug system-level issues (latency, throughput, resource utilization, tail latency); collaborate with university teams to support research labs
Bachelor’s or Master’s in CS/Engineering (PhD strong plus)
3–5+ years in SDET, software development, or QA automation for large-scale SaaS
Proficiency in Python, Go, and C; strong Linux knowledge; experience with Docker/Kubernetes; CI/CD and observability
PhD or active interest in applied research; familiarity with AI-driven testing tools
Experience collaborating with academic or research labs
Location & work type: Europe-based; remote/Flexible hours aligned to European timezones; employment type (B2B or employee) and perks vary by location.
Software Development in Test & Research Engineer — System developer with wide QA experience needed!
Virtuozzo is hiring a Software Development in Test and Research Engineer in Europe to help build scalable test automation for distributed SaaS platforms and to collaborate with leading universities on applied software research initiatives. This is a unique role at the intersection of quality engineering, systems-level development, and academic innovation. You will join our Storage team. You’ll work closely with the R&D team to ensure the reliability of our platform and take part in building research labs that explore the future of cloud and infrastructure software.
What You’ll Be Doing Design and maintain automated tests and testing frameworks for functional, performance, security, and reliability use cases, including load, stress, and scalability testing Set up and operate production-like, scalable test environments for complex SaaS systems, with a focus on benchmarking and performance evaluation Investigate and debug system-level issues, including performance bottlenecks and distributed failures, using metrics such as latency, throughput, resource utilization, and tail latency and debug system-level issues Collaborate with university teams to launch and support research labs focused on infrastructure and cloud software Research and evaluate emerging testing technologies, including AI-driven test automation tools
What You Bring Bachelor's or Master’s degree in Computer Science, Engineering, or a related field (PhD is a strong plus) 3–5+ years of experience in SDET, software development, or QA automation in large-scale SaaS environments Proficiency in Python, Go, and C for test development and scripting Good knowledge of Linux, distributed architectures, and cloud-native technologies (Docker, Kubernetes) Familiarity with CI/CD pipelines, observability tools Interest in applied research and a passion for innovation
What We Offer Remote and flexible working hours in European timezones Space for creativity and experimentation within the company’s goals Share Options – everyone shares in our success with share options We help our team get private medical insurance Supportive, engineering-driven culture with minimal bureaucracy The chance to influence Product and R&D decisions from day one A smart, friendly team that values reliability, simplicity, and automation Depending on your location and preferred employment method (B2B or employment), other perks and benefits apply
Team meeting: technical interview (1h-1.5h) Hiring manager meeting (30minutes up to 1h) QA advisor meet&greet (20minutes)
If you're passionate about systems testing, infrastructure automation, and working on applied software research, we’d like to hear from you.