Senior Quality Test Engineer II

Elsevier

Greater London

Hybrid

GBP 70,000 - 90,000

Full time

5 days ago
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Benefits offered by this job

Health Insurance
Flexible Working Arrangements
Employee Assistance Program
Medical Screening
Long-Service Awards
Paid Time Off

Job summary

Elsevier is seeking a Senior Quality Test Engineer-II to drive automated and performance testing across a data-intensive platform. You will partner with product and engineering to plan, implement scalable test strategies and ensure delivery of high-quality software products and data solutions.

The role emphasizes ownership of testing quality, continuous improvement, and collaboration across distributed teams, with flexible working arrangements and a strong emphasis on efficient, reliable testing

Qualifications

  • Proven ownership of overall product quality and testing across development and testing activities.
  • Strong QA methodologies, SDLC understanding, and process improvement experience.
  • Java programming with ability to design and maintain automation solutions.
  • Hands-on automation and performance testing across multiple layers and services.
  • Experience with CI/CD integration and cloud platforms (AWS).

Responsibilities

  • Lead or contribute to automated and performance testing for projects to ensure on-time delivery.
  • Collaborate with Product, Engineering, and Operations to plan testing to meet requirements and quality standards.
  • Develop and execute tests with scalable automation and maintainable test suites.
  • Research and adopt testing tools to enhance quality and reduce costs.
  • Report issues with root-cause analysis and document findings.

Skills

Automation testing
Java programming
QA methodologies
CI/CD
Performance testing
SQL
Cloud platforms (AWS)
Distributed systems

Tools

Kafka
Databricks
Spark
Docker

Job description

Senior Quality Test Engineer-II

Do you enjoy improving quality and driving automation strategies in complex technology environments? Would you like to collaborate with cross-functional teams to deliver high-quality software products and data solutions?

About our Team

This is a position in the Research Data Platform team responsible for performing functional testing and developing and executing performance and automation testing solutions for a platform built to support large-scale data transformation, processing, and analytics workflows. The team focuses on ensuring quality, scalability, and reliability across data-driven applications and distributed systems.

About the Role

This position works with the development team to develop functional testing, apply automation strategy and to plan and execute effective and efficient performance and automation testing to accomplish on-time and efficient delivery of high-quality software products and/or data.

This position works with the development team to develop functional testing, apply automation strategy and to plan and execute effective and efficient performance and automation testing to accomplish on-time and efficient delivery of high-quality software products and/or data.

Responsibilities
  • Innovating process improvements that enable efficient delivery and maintenance with consistent direction.
  • Researching available tools and lead or participate in initiatives to identify and implement those that will cost-effectively enhance testing capabilities and product quality
  • Developing and execute automated and performance testing for assigned projects to enable delivery of high-quality software products and services successfully and consistently on time, on budget, and to specification
  • Interacting with Product Management, Project Management, Engineering, and Operations teams to plan testing for delivery of products and enhancements and to assure products meet product requirements and quality standards.
  • Reporting issues and results, researching and identifying root causes as appropriate, documenting accordingly
  • Ensuring that testing addresses requirements as agreed with other stakeholders.
  • Conducting project reviews, ensuring review criteria are defined, and implementing procedures for ensuring quality control of project deliverables
  • Leading or participate in continuous improvement initiatives and implementation of best practices
Requirements
  • Demonstrated ownership for overall product quality, driving quality practices across development and testing activities.
  • Strong understanding of QA methodologies, software development lifecycle, and process improvement practices.
  • Strong programming experience in Java with ability to design and maintain automation solutions.
  • Solid, hands-on automation testing experience - building, maintaining, and scaling automated test suites across functional, integration, and regression testing
  • Strong learning agility - comfortable picking up new tools and technologies on the job (e.g., Kafka, Databricks, Spark) with minimal ramp-up time if not already familiar
  • Ability to define effective test strategies and design comprehensive test scenarios covering functional, integration, and edge-case conditions
  • Experience testing micro services and distributed system architectures.
  • Strong SQL knowledge.
  • Working knowledge of AWS services or another cloud platform.
  • Understanding of CI/CD integration (Github Actions or similar)
  • Experience participating in PR reviews for test automation code quality, maintainability, and adherence to engineering standards
  • Strong analytical, research, and root cause analysis skills, with a focus on continuous improvement
  • Strong collaboration skills with cross-functional teams including Engineering, Product, and Operations
  • Experience supporting end-to-end (E2E) and integration testing across multiple systems and domains
Nice to Have
  • Experience testing event-driven systems using Kafka or similar messaging platforms
  • Exposure to data engineering or data quality testing, and working with formats like Parquet, XML, JSON, or large-scale datasets
  • Familiarity with schema validation approaches (e.g., SHACL or similar)
  • Understanding of Spark jobs or distributed data processing environments such as EMR
  • Hands-on experience with Databricks specifically (beyond SQL querying - e.g., notebooks, job orchestration)
  • Experience monitoring applications and analyzing logs using tools such as New Relic or similar observability platforms
  • Experience with Docker or other containerization technologies
Work in a Way That Works for You

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

Working for You
  • Comprehensive Health Insurance.
  • Enhanced Health Insurance Options.
  • Group Life Insurance.
  • Group Accident Insurance.
  • Flexible Working Arrangements.
  • Employee Assistance Program.
  • Medical Screening.
  • Long-Service Awards.
  • Various Paid Time Off options including Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, and Gazetted Public Holidays.
About the Business

A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world

We know your well-being and happiness are key to a long and successful career.

If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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