12 publicaciones de empleo destacadas de data software engineer en desde casa (¡Están contratando!)

In this role, you will develop and maintain automated test suites, contribute to performance testing in CI pipelines, and help align quality standards with business needs. You will work closely with engineering teams to apply testing practices across services and UI, using modern tools and AI-assisted approaches to support the delivery of reliable software.

Responsibilities

Develop and maintain automated test suites for APIs (sync and async) and web UI using TypeScript and modern E2E frameworks
Run and support performance tests within CI pipelines, reviewing results against application and infrastructure metrics
Compare load results with CPU, memory, saturation, queue depth, and latency metrics to help identify bottlenecks
Add and maintain automated tests in CI platforms, handling failing builds, artifacts, flaky tests, and quality gates
Contribute to testing across service boundaries, not only through UI scripts
Report defects clearly with expected vs actual results, supporting evidence, and severity aligned to business impact
Use AI-assisted tooling to speed up test creation and expand coverage
Collaborate with development and infrastructure teams to support quality throughout the delivery lifecycle
Help improve test reliability, execution speed, and maintainability of the automation suite

Requirements

Hands-on experience in software testing, including 2+ years of hands-on test automation and some practical exposure to performance testing
Solid skills in test automation for APIs and web UI using TypeScript and modern E2E frameworks (Playwright preferred), including sync and async APIs
Practical experience with performance testing, ideally within CI
Ability to compare load results with application and infrastructure metrics such as CPU, memory, saturation, queue depth, and latency
Experience writing and maintaining tests in CI systems (Jenkins, GitHub Actions, Azure DevOps, or similar), including working with failing builds, artifacts, flaky tests, and quality gates
Ability to design tests based on service boundaries, not only UI flows
Skills in defect reporting with clear expected vs actual results, evidence, and severity aligned to business impact (e.g., recognizing the difference between a critical data issue and a minor UI glitch)
Hands-on experience creating tests with AI tools (Cursor, GitHub Copilot, Codex, Claude Code, or similar) — AI Gen QA is a must
English at an Upper-Intermediate level (B2) or higher

Nice to have

Experience with Grafana k6, including distributed load generators
Familiarity with Kubernetes-deployed systems
Basic knowledge of OpenTelemetry, Grafana, and Prometheus, or similar observability tools
Exposure to systems with spiky, deadline-driven load (tax, payroll, trading close, regulatory filing)

We offer

International projects with top brands
Work with global teams of highly skilled, diverse peers
Healthcare benefits
Employee financial programs
Paid time off and sick leave
Upskilling, reskilling and certification courses
Unlimited access to the LinkedIn Learning library and 22,000+ courses
Global career opportunities
Volunteer and community involvement opportunities
EPAM Employee Groups
Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

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