Job Description

About Blackhawk Network

Today, through BHN’s single global platform, businesses of all kinds can tap into the world’s largest network of branded payment solutions. BHN helps businesses grow revenue, increase loyalty, motivate and reward their teams, disburse funds and engage consumers. Branded payment solutions include the issuance and distribution of gift cards, egifts, corporate payouts and rewards, along with the technology to deliver these products in seamless, integrated ways. BHN’s network spans the globe with more than 400,000 consumer touchpoints. Learn more at BHN.com.

We are looking for a Senior Software Engineer who can contribute hands-on to product development while also driving test automation and quality engineering practices across the team. This role is best suited for an engineer with strong software development fundamentals who has deep experience in automation testing, API and UI validation, and building scalable quality frameworks.

The ideal candidate should be able to design and develop production-grade software components, while also taking ownership of automation strategy, test framework design, release confidence, and overall engineering quality. This is a QA-automation-heavy engineering role with the ability and expectation to contribute to development work where needed.

Responsibilities

Take ownership of software components across design, development, testing, deployment, and production support.Contribute to backend or platform development using Java, Spring Boot, and related technologies.Design, build, and maintain scalable, reusable, and reliable automation frameworks for APIs, UI, integration, and system testing.Automate test coverage for business-critical workflows across services, user interfaces, and platform components.Build clean, maintainable, and efficient code for both product features and automation solutions.Plan and break down complex deliverables into actionable tasks, ensuring timely and high-quality execution.Drive engineering and quality best practices across the team, including shift-left testing, test strategy, and CI/CD quality gates.Collaborate closely with architects, product owners, developers, QA, and DevOps teams to deliver high-impact product features and system improvements.Debug and resolve complex issues across test environments, development systems, and production.Improve release confidence by integrating automation suites into CI/CD pipelines and ensuring fast, stable feedback loops.Design and implement performance, reliability, and regression testing approaches for large-scale distributed systems.Act as a strong coach and technical guide for the team on automation, quality practices, and maintainable engineering standards.Communicate effectively with senior stakeholders, influence technical decisions, and provide clear quality and engineering insights.Understand business and product domains well enough to make informed technical, testing, and design decisions.Explore opportunities to use AI and machine learning capabilities to improve product quality, intelligent automation, and engineering productivity.

Qualifications

Bachelor’s or master’s degree in Computer Science, Engineering, or equivalent practical experience.5+ years of hands-on experience in software engineering, with strong experience in both development and test automation.Strong programming skills in Java, with practical experience using frameworks such as Spring Boot or similar backend technologies.Strong experience in automation testing of APIs, web applications, and distributed systems.Proven experience designing and building automation frameworks from scratch that are scalable, reusable, and maintainable.Strong understanding of object-oriented design, design patterns, data structures, and algorithms.Experience with API testing, web services automation, and tools/frameworks such as RestAssured, Postman, Selenium, Cypress, TestNG, JMeter, or similar.Experience with scripting or supporting languages such as Python and Shell for automation and tooling.Good understanding of software development life cycle, quality engineering methodologies, and agile delivery practices.Experience building or testing scalable, high-availability, fault-tolerant systems using microservices or service-oriented architectures.Experience with relational databases such as MySQL, PostgreSQL, or Oracle, along with a working understanding of caching and messaging systems.Experience designing and validating RESTful APIs, web services, JSON-based integrations, and service contracts.Familiarity with performance testing, scalability testing, and system reliability validation.Experience integrating automated test suites with CI/CD pipelines such as Jenkins or equivalent tooling.Strong understanding of observability, including logs, metrics, and tracing, to support debugging and production health.Ability to differentiate strong and weak design, coding, and testing practices, and drive improvements proactively.Strong communication skills and the ability to work effectively across engineering, product, and business teams.Organized, hands-on, and delivery-focused, with a strong ownership mindset.Preferred QualificationsExperience with AWS services such as EC2, RDS, and related cloud-native tooling.Experience with container-based development and deployment using Docker and Kubernetes.Experience testing or developing large-scale products with both software and infrastructure components.Exposure to front-end, backend, integration, and end-to-end system testing across complex platforms.Knowledge of performance profiling, troubleshooting, and production support practices.Exposure to AI/ML concepts or practical experience integrating AI-based capabilities into engineering workflows or products.Familiarity with AI-assisted development tools such as GitHub Copilot or similar tools to improve coding productivity, test coverage, and quality.Experience creating internal tools and utilities that improve developer or tester efficiency and reduce repetitive manual effort.

We are looking for an engineer who can think like a developer and act like a quality owner. The right candidate should be comfortable writing production code, designing robust automation frameworks, improving release quality, and influencing engineering standards across the team.

We seek candidates who not only demonstrate curiosity and adaptability in emerging technologies but have also successfully implemented and utilized AI tools to enhance their work, improve processes, or deliver measurable results. Our teams embrace continuous learning and the thoughtful integration of AI to create meaningful impact for our employees and the future of work.