Senior Lead Engineer, Quality Engineering

LSEG (London Stock Exchange Group); Norwell (MA); On-site; USD 112,300 - 187,100; Full time

Benefits offered by this job

Annual incentive plan

Medical/Dental/Vision coverage

401(k) with company match

Job summary

LSEG (London Stock Exchange Group) Acadia division seeks a full-stack lead QA engineer to design and scale automation platforms for high-velocity software delivery. You will drive testing across UI, API, and data layers, collaborate with engineering, DevOps, and platform teams, and enable scalable quality at scale in distributed systems.

You will lead testing strategies, shift-left/right practices, and AI-assisted testing experiments to enhance resilience and defect detection across the SaaS

Qualifications

• 10+ years of hands-on experience in functional UI testing, API testing, and performance testing for cloud-based or SaaS applications.
• Proven experience designing and implementing automated test frameworks for cloud-native, containerized, and microservices architectures (Docker, Kubernetes, AWS).
• Strong background in building scalable automated test suites using Playwright, Cypress, Postman, and K6.
• Experience with contract testing methodologies and frameworks (e.g., Pact, OpenAPI-driven testing).
• Familiarity with OWASP Top 10 and security concepts.
• CI/CD pipeline engineering and integrating automated testing into DevOps workflows.
• Git-based version control (GitLab, GitHub, Bitbucket).
• Java, JavaScript, and Python programming skills.
• Observability/monitoring platforms such as ELK, Splunk, Datadog for debugging and insights.
• Performance engineering and chaos testing concepts.
• Accessibility standards knowledge and AI-assisted testing exposure.
• Cloud experience, especially AWS.

Responsibilities

• Lead end-to-end quality engineering across SaaS platforms to support roadmaps and guardrails.
• Design and implement testing strategies for UI, API, performance, and reliability.
• Validate multitenant SaaS architectures and tenancy isolation.
• Develop test data and environment management to enable automated test execution.
• Collaborate with SRE to embed observability metrics, logs, and traces in tests.
• Incorporate telemetry and real-world usage into shift-left/right testing.
• Lead GenAI/LLM-based testing experiments and transition solutions into testing ecosystem.
• Drive Shift-Left, DevTestOps, contract testing, and data validation adoption.
• Translate requirements into scalable quality strategies for multi-functional partners.
• Partner with global teams to standardize testing tools and practices.
• Participate in incident management and post-mortems for durable prevention.
• Leverage IaC and design-thinking to improve speed and test coverage.
• Stay ahead on GenAI, cloud infra, microservices, and automation tooling.

Skills

Distributed systems

Automation strategy

CI/CD

QA leadership

SaaS/cloud

Observability

Education

Bachelor's degree in CS/Engineering

Tools

Playwright

Cypress

Postman

K6

Job description

Position Summary

This position is within Acadia. Acadia is wholly owned by LSEG (London Stock Exchange Group) and is part of its Post Trade Solutions division.

We’re looking for a full stack lead QA engineer to design and scale modern automation platforms that support high-quality, high-velocity software delivery. This role combines automation engineering, performance engineering, CI/CD pipeline design, and cloud-aware testing practices, offering the opportunity to influence how enterprise systems are built, tested, and released.

You will collaborate across engineering, DevOps, and platform teams to integrate testing deeply into development workflows, improve observability, scalability and reliability, and ensure quality at scale across distributed systems.

Key Responsibilities and Accountabilities

• Lead the end-to-end delivery of quality engineering solutions that align with technology guardrails and support strategic product and platform roadmaps.
• Design and implement testing strategies – functional, API, performance, and reliability – across distributed SaaS platforms to ensure scalable, secure, and high-quality releases.
• Validate multitenant SaaS architectures, including tenancy isolation, environment consistency, configuration drift detection, and horizontal scalability.
• Develop and maintain a robust test data and test environment management strategy that enables automated, repeatable, and production-like test execution.
• Collaborate with Site Reliability Engineering (SRE) teams to embed observability metrics, logs, and traces into automated tests and quality gates, improving incident readiness and MTTR.
• Incorporate production telemetry and real-world usage insights into shift-right testing practices to enhance resilience and defect detection.
• Lead experimentation with GenAI/LLM-based capabilities, including self-healing tests, AI-generated test cases, and automated defect triage, and transition validated solutions into the testing ecosystem.
• Drive adoption of modern quality practices (Shift-Left, DevTestOps, contract testing, performance engineering, and data validation) across product and engineering teams.
• Translate business and technical requirements into scalable quality strategies and provide clear quality-related guidance to multi-functional partners.
• Partner with global engineering and platform teams to ensure consistent application of testing standards and tools across agile delivery pipelines.
• Participate in incident management, root-cause analysis, and post-mortem reviews, recommending durable preventative measures aligned to product and operational goals.
• Leverage design-thinking principles, DevTestOps pipelines, and infrastructure-as-code to improve delivery speed, test automation coverage, and overall system quality.
• Stay ahead of advancements in GenAI, cloud infrastructure, microservices, automation tooling, and observability to continually evolve testing practices.
• Produce and maintain comprehensive documentation covering test architectures, standards, strategies, and operational procedures for knowledge sharing and continuity.

Skills and Proficiency

• Strong analytical and problem-solving abilities with a deep understanding of distributed systems and SaaS architectures.
• Ability to break down complex systems and define effective test strategies across UI, API, data, and backend layers.
• Proficiency in debugging, log analysis, and employing observability tools to trace issues across distributed environments.
• Excellent interpersonal skills with the ability to articulate quality risks, metrics, and trade-offs to both technical and non-technical audiences.
• Leadership capability to mentor QA engineers, influence quality culture, and champion modern testing practices across teams.
• Strong collaboration skills with experience working closely with engineering, DevOps, SRE, product management, and platform teams in agile, fast-paced environments.
• Familiarity with continuous testing, Shift-Left/Shift-Right quality principles, and modern DevTestOps approaches.
• Ability to drive consistency, alignment, and knowledge-sharing across globally distributed engineering teams.

Experience and Qualifications Required

• 10+ years of hands-on experience in functional UI testing, API testing (REST/GraphQL), and performance testing for cloud-based or SaaS applications.
• Proven experience designing and implementing automated test frameworks for cloud-native, containerized, and microservices-based architectures (Docker, Kubernetes, AWS services).
• Strong background in building scalable automated test suites using tools such as Playwright, Cypress, Postman, and K6.
• Experience with contract testing methodologies and frameworks (e.g., Pact, OpenAPI-driven testing).
• Familiarity with foundational application security concepts and OWASP Top 10 risks.
• Demonstrated expertise in CI/CD pipeline engineering and integrating automated testing into DevOps workflows.
• Proficiency with Git-based version control platforms (GitLab, GitHub, Bitbucket).
• Solid programming skills in Java, JavaScript, and Python.
• Experience using observability and monitoring platforms such as ELK, Splunk, and Datadog for debugging, issue triage, and quality insights.
• Hands-on experience with performance engineering and chaos testing concepts.
• Knowledge of accessibility standards and experience validating accessible web experiences.
• Exposure to, or active experimentation with, AI-assisted testing tools and techniques.
• Cloud experience preferred, especially within AWS ecosystems.
• Degree in Computer Science, Engineering, Mathematics, or equivalent practical experience.

Career Stage

Manager

Compensation and Benefits

LSEG is committed to offering competitive Compensation and Benefits. The anticipated base salary for this position is $112,300 - $187,100. Please be aware base salary ranges may vary by geographic location, city and state. In addition to our offered base salary, this role is eligible for our Annual Incentive Plan (AIP/bonus plan). Target AIP rates will be commensurate with role level and posted career stage. Individual salary will be reflective of job-related knowledge, skills and equivalent experience. LSEG roles (excluding internships and part-time roles of less than 20 hours per week) are typically eligible for inclusion in our LSEG Benefits program, which includes offerings of: Annual Wellness Allowance, Paid time-off, Medical, Dental, Vision, Flex Spending & Health Savings Options, Prescription Drug plan, 401(K) Savings Plan and Company match. LSEG’s Benefits plan also includes basic life insurance, disability benefits, emergency backup dependent care, adoption assistance, commuter assistance etc.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.