Overview
As a Senior Automation Engineer, ensure the quality and reliability of Fiserv’s global merchant acquiring platform. Lead quality strategy, automation architecture, system-level testing, and quality assurance for code and configuration across batch systems and API-driven services.
What you'll do
- Lead and expand automation strategy and execution for testing the core merchant acquiring platform.
- Act as a technical authority for QA, partnering with BAs, developers, architects, and tech leads to define quality approaches and test scenarios.
- Design, write, review, and maintain automated test cases for new features and enhancements based on User Story Acceptance Criteria.
- Provide leadership within an Agile/Scrum environment by contributing to sprint planning, reviews, retrospectives, and release readiness.
- Own and drive test planning with BAs and Software Development Engineers.
- Review requirements, specifications, and technical design documents to provide early, actionable quality feedback and ensure testability.
- Architect, enhance, and maintain test automation frameworks for batch processing systems and API-based services.
- Lead and contribute to the BDD framework.
- Oversee and support system, regression, and end-to-end testing to validate critical business workflows.
- Log, track, and manage defects; drive resolution and ensure re-testing closure.
- Drive continuous improvement of testing standards, automation practices, and QA processes across the platform.
- Mentor and guide QA engineers, promoting technical excellence and quality ownership.
What you'll need
- 3+ years of experience in software testing across all phases of the test lifecycle, with strong hands-on automation experience.
- Strong automation and scripting skills, with hands-on experience in Python (PyTest).
- Proven ability to design and build bespoke test automation frameworks and tools.
- Experience generating automated test cases from User Story Acceptance Criteria and integrating them into a BDD automation framework.
- Good knowledge of databases with strong working experience in SQL.
- Solid understanding of system testing, regression testing, and end-to-end validation.
- Hands-on experience working in Agile/Scrum environments and JIRA.
- Familiarity with prompt engineering, LLM-based features, or automation tools.
Nice to have
- Familiarity with CI/CD and SDLC tools such as Jenkins, Rundeck, GitLab, or similar.
- Exposure to cloud-based environments and containerization technologies such as Docker.
- Prior work in payments, banking or regulated fintech with emphasis on auditability, privacy and security.
- Mentoring experience and a pragmatic, customer-focused mindset that balances innovation with operational rigor.
- Ability to ensure ethical AI usage, data governance compliance, and secure handling of model outputs.
- Ability to stay updated with emerging AI technologies and recommend adoption strategies.
- Experience with AI APIs (OpenAI, Azure AI, AWS Bedrock) is a plus.
- Ability to govern responsible AI usage, performance tuning, security, and observability for AI workloads.
Details
Read the full description and apply on the company’s own careers page.