AVP - QA Automation Engineer - IB Tech & CRM/ Analytics

QA Automation Engineer – Job Description

Responsibilities:

• Automation Testing:
  • Build and maintain automated test suites using Playwright or Selenium (TypeScript/Java).
  • Develop automation scripts in Python, Java, or similar languages.
  • Implement service-level automation using RestAssured with Java.
• Microservices Testing:
  • Hands-on experience testing Microservices architecture.
  • Ability to automate tests for Java Spring Boot services.
• Functional Testing:
  • Execute end-to-end functional testing and ensure comprehensive test coverage.
  • Hands-on experience with ETL-to-UI workflows.
• ETL & Database Testing:
  • Perform data validation and backend testing across SQL Server, MySQL, and NoSQL databases (MongoDB, Cassandra).
  • Validate data pipelines involving SQL → NoSQL → Cloud buckets.
  • Experience in automating data pipeline testing.
• Big Data & Streaming:
  • Familiarity with Kafka or similar messaging/streaming platforms for data flow validation.
• Cloud & Data Warehousing:
  • Experience with Amazon Redshift, AWS RDS, and cloud storage solutions.
• Version Control:
  • Manage codebase and test scripts using Git.
• Test Management & CI/CD:
  • Organize test cases in QTest and integrate with CI/CD pipelines (Bitbucket, Bamboo, Git Actions).
• API Testing:
  • Perform API testing using Postman and implement API automation frameworks.
• Agile & Collaboration:
  • Work in Scrum teams, use JIRA for bug tracking and task management.
  • Document processes and collaborate via Confluence.

Tools & Technologies:
Playwright, Selenium, RestAssured, Python, Java, Spring Boot, Git, QTest, Bitbucket, Bamboo, Postman, Kafka, Redshift, RDS, MongoDB, Cassandra, AWS Cloud Services.

Preferred Skills:

• Experience with Docker and Kubernetes for containerized test environments.
• Knowledge of CI/CD best practices and pipeline optimization.
• Familiarity with performance testing tools (e.g., JMeter, Gatling).
• Exposure to data streaming and real-time validation using Kafka or similar tools.
• Understanding of AWS services beyond RDS/Redshift (e.g., S3, Lambda).
• Strong analytical and troubleshooting skills for complex data flows.
• Ability to write custom utilities or frameworks for automation in Python/Java.

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Jefferies is a leading global, full-service investment banking and capital markets firm that provides advisory, sales and trading, research, and wealth and asset management services. With more than 40 offices around the world, we offer insights and expertise to investors, companies, and governments.

At Jefferies, we believe that diversity fosters creativity, innovation and thought leadership through the infusion of new ideas and perspectives. We have made a commitment to building a culture that provides opportunities for all employees regardless of our differences and supports a workforce that is reflective of the communities where we work and live. As a result, we are able to pool our collective insights and intelligence to provide fresh and innovative thinking for our clients.

Jefferies is an equal employment opportunity employer, and takes affirmative action to ensure that all qualified applicants will receive consideration for employment without regard to race, creed, color, national origin, ancestry, religion, gender, pregnancy, age, physical or mental disability, marital status, sexual orientation, gender identity or expression, veteran or military status, genetic information, reproductive health decisions, or any other factor protected by applicable law. We are committed to hiring the most qualified applicants and complying with all federal, state, and local equal employment opportunity laws. As part of this commitment, Jefferies will extend reasonable accommodations to individuals with disabilities, as required by applicable law.