Lead Performance Tester (SDET)

Jobgether • United Kingdom

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Lead Performance Tester (SDET) role at Jobgether, responsible for defining and driving end-to-end performance strategy across cloud-native architectures, leading a distributed guild of SDETs, and guiding performance testing practices.

Key Highlights

Define and lead the overall performance engineering strategy

Lead and mentor a distributed guild of SDETs

Design, build, and evolve performance testing frameworks

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Key Responsibilities

Define and lead the overall performance engineering strategy

Lead and mentor a distributed guild of SDETs

Design, build, and evolve performance testing frameworks

Implement and manage advanced performance testing approaches

Drive performance, load, stress, endurance, and chaos testing strategies

Technical Skills Required

k6 Python Java TypeScript AWS cloud services Grafana CloudWatch

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Benefits & Perks

Competitive salary

Fully remote working arrangement

Opportunity to work on large-scale, globally used cloud communications platforms

Job Description

This senior technical leadership role sits at the intersection of performance engineering, test automation, and distributed systems validation within large-scale cloud communications platforms. The Lead Performance Tester will define and drive the end-to-end performance strategy across highly available, cloud-native architectures, ensuring systems can withstand real-world production loads with reliability and efficiency. This role combines hands-on engineering with strategic leadership, guiding a distributed guild of SDETs embedded across multiple teams. You will work closely with engineering, architecture, and data teams to design scalable performance frameworks, implement continuous performance testing in CI/CD pipelines, and validate system resilience under extreme conditions. The environment is fast-paced, highly collaborative, and deeply technical, with strong emphasis on observability, automation, and data-driven decision-making. This is a high-impact role influencing system performance, scalability, and user experience at global scale.

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