AQA Fullstack с акцентом на ручное тестирование, удаленно, Аутстафф

About the Role

We are looking for a Software Development Engineer in Test (SDET) who views testing as an engineering problem waiting to be solved. In this role, you won't just be executing
tests; you will design, build, and maintain the automated testing frameworks, infrastructure, and tooling that allow our engineering teams to ship high-quality code at speed. You will sit at the intersection of development and QA, operating as a developer whose primary focus is software quality and reliability.

What You’ll Do

• A minimum of 8 years of work experience is required.
• Automation Framework Architecture: Design, build, and scale robust, maintainable test automation frameworks from scratch for web, mobile, and APIs.
• Code Quality & Testing: Write clean, high-quality automation code (e.g., using Java, Python, JavaScript, or TypeScript) and participate in developer code reviews.
• CI/CD Integration: Integrate automated test suites directly into deployment pipelines (Jenkins, GitHub Actions, GitLab CI) to achieve true continuous testing.
• Test Strategy & Execution: Analyse complex business requirements, identify edge cases, and design comprehensive test plans spanning functional, integration, regression, and performance testing.
• Tooling & Infrastructure: Build internal tools, mock services, and data generation utilities to unblock the development team and accelerate testing cycles.
• Collaboration: Partner closely with Product Managers and Software Engineers during early design phases to ensure features are inherently testable from day one.

What You’ll Bring

• Programming : Strong proficiency in at least one modern language (e.g., Java, Python, C#, or TypeScript).
• Automation Tools : Deep experience with tools like Selenium, Playwright, Cypress, Appium, or RestAssured.
• CI/CD & DevOps : Hands-on experience with Docker, gitversion control, and pipeline tools like GitHub Actions or Jenkins.
• Database & API : Proficiency in querying SQL/NoSQL databases and testing RESTful or GraphQL APIs.
• Mindset : Strong debugging skills, a knack for breaking things, and a "shift-left" testing philosophy.

Bonus Skills

• Experience with cloud platforms (AWS, Azure, or GCP).
• Performance and load testing experience using tools like JMeter or K6.
• Background in Unit Testing frameworks (TestNG, JUnit, PyTest) and working alongside developers to improve unit test coverage.

What You’ll Get 

• 18 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private medical coverage for you and up to four dependents
• Life, accident, and disability insurance with enhanced coverage
• Annual flexible wellbeing allowance for physical and mental wellness
• Free confidential counselling and coaching via Employee Assistance Program (EAP), including legal and financial advice
• Meal, fuel, and transportation benefits based on work arrangement
• Daycare reimbursement and safe cab facility for eligible employees
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

About the Role

We are seeking a Staff Software Development Engineer in Test (SDET) specializing in Data Connectors & High-Scale Ingestion. In this role, you will be the technical authority responsible for designing testing frameworks and benchmarking tools that validate multi-source data integration pipelines processing petabyte-scale throughput across AWS, Azure, and Kubernetes. 

What You’ll Do

• Design and execute scalable performance, backpressure, and stress-testing harnesses for ingestion connectors (REST, gRPC, CDC, Kafka, RabbitMQ)
• Build automation suites across AWS (S3, SQS, Kinesis, EKS) and Azure (Event Hubs, Blob, AKS) to test real-world connector data flows under degraded network conditions and extreme concurrency
• Implement automated fault-injection pipelines (simulating schema drift, network partitions, rate limits, and authentication failures) to guarantee zero-data-loss execution
• Utilize Kubernetes to dynamically orchestrate transient, high-concurrency test clusters and mock target endpoints at scale

What You’ll Bring

• 8+ years of software engineering/SDET experience in C++, Java, Go, or Python
• Deep experience in testing streaming architectures (Kafka, Event Hubs), queueing systems, and API protocols (gRPC, WebSockets, REST)
• Hands-on proficiency with AWS, Azure, and Kubernetes (Helm, custom controllers, or K8s operators)
• Proven track record building custom distributed load-generation tools (e.g., Locust, k6, custom Go/Java engines)
  
  

#LI-AA3

About the Role

The Veeam Quality Assurance team invites you to work on Veeam products with Veeam QA professionals in the Lisbon R&D office.

As a Performance QA Engineer, you will work on large‑scale, real‑world backup and data protection scenarios used by enterprises worldwide. Your work will directly influence the scalability, reliability, and performance of Veeam products running in some of the most demanding environments.

What You'll Do

• Design and execute performance, load, and scalability testing for major components of Veeam products (from requirement analysis and lab design to test execution and results analysis)
• Build and maintain realistic enterprise‑grade test environments, including large infrastructures and complex topologies
• Identify performance bottlenecks and system limits, and work closely with developers, functional QA, and product managers to resolve them
• Participate in root cause analysis of performance issues reported by Technical Support and customers
• Own and evolve performance test labs: environment creation, configuration, monitoring, and collaboration with IT teams

What You'll Bring

• Technical education or a strong, hands‑on passion for systems and performance
• 1–2 years of experience in performance and/or load testing (or a strong practical background in system performance)
• Ability to analyze test results and clearly identify bottlenecks, limits, and performance risks
• Solid knowledge of Windows and/or Linux at an advanced user or system administration level
• Good understanding of system internals: CPU, memory, storage, networking
• Strong analytical mindset, attention to detail, and structured thinking
• Motivation to grow as a performance and scalability engineer
• English proficiency for daily communication within international teams

Bonus Skills

• Experience with databases (Microsoft SQL Server, PostgreSQL), including profiling and performance analysis
• Scripting, test automation, or infrastructure deployment experience
• Understanding of virtualization platforms and large virtual environments
• Hands‑on experience with cloud platforms (Azure, AWS, Google Cloud)
• Experience with Python
• Familiarity with Ansible, Terraform, or similar infrastructure‑as‑code tools

What You'll Get

• 24 annual vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private medical, dental, and optical insurance for employees and dependents
• Life and disability insurance worth 2x gross annual salary
• Monthly meal allowance of €10.46 per working day
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning

#LI-YS1

#Hybrid