Software Engineer II

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.

Overview

Blackhawk Network is building a digital platform and products that bring people and brands together. We facilitate cross channel payments via cash-in, cash-out and mobile payments. By leveraging smart contracts, serverless technology, real time payment systems, we are unlocking the next million users through innovation.

 

Our employees are our biggest assets! Come find out how we engage, with the biggest brands in the world. We look for people who collaborate, who are inspirational, who have passion that can make a difference by working as a team while striving for global excellence. You can expect a strong investment in your professional growth, and a dedication to crafting a successful, sustainable career for you. Our teams are composed of highly talented and passionate 'A' players, who are also invested in mentoring and enabling the best qualities. Our vibrant culture and high expectations will kindle your passion and bring out the best in you!

 

As a leader in branded payments, we are building a strong diverse team and expanding. This is an amazing opportunity for problem solvers who want to be a part of an innovative and creative Engineering team that values your contribution to the company. If this role has your name written all over it, please contact us apply now with a resume so that we explore further and get connected.

Responsibilities

• Take full ownership of software components from design through development, deployment, and ongoing support.
• Plan and break down complex deliverables into actionable work items, ensuring effective execution and timely delivery.
• Design and implement scalable, high-performance, and fault-tolerant solutions using Java/Spring and related technologies.
• Write clean, efficient, and maintainable code aligned with CI/CD and architectural best practices.
• Advocate and uphold engineering and operational excellence standards across the team.
• Debug and resolve complex issues across development and production environments.
• Closely work with architects, product owners, and cross-functional teams to deliver impactful product features and system improvements.
• Communicate effectively with senior stakeholders, influencing decisions and providing technical insights.
• Understand business and product domains to make informed technical and design decisions.
• Explore opportunities to integrate AI and machine learning capabilities to enhance product functionality, automation, and developer productivity.

• Bachelor’s or master’s degree in computer science and/or equivalent experience.

Qualifications

• Bachelor’s or master’s degree in computer science and/or equivalent experience.
• 3+ years of hands-on backend / distributed systems development experience using Java, SpringBoot, Hibrnate, Angular/React JS, AWS.
• Good understanding of object-oriented design, design patterns, data structures, and algorithms. 
• Experience/Hands-on building scalable, high‐availability, fault‐tolerant systems using microservices or service-oriented architectures.
• Good knowledge/experience with relational databases (e.g., MySQL, PostgreSQL, Oracle) and exposure to or proficiency with caching / message queues.
• Experience designing and implementing RESTful APIs, understanding of web services, JSON, etc. 
• Ability to differentiate good and bad design and coding practices.
• Familiarity with performance optimization (profiling, troubleshooting, latency reduction), scalability and reliability concerns in production systems.
• Experience with observability / monitoring (metrics, logging, tracing) to maintain system health and support debugging in production.
• Strong verbal and written communication skills.

Preferred:

• Experience with Amazon Web Services (AWS) including RDS and EC2.
• Experience with container-based application development using Docker/ Kubernetes.
• Exposure to AI/ML concepts or practical experience integrating AI-based capabilities within software systems.
• Familiarity with AI-assisted development tools (e.g., GitHub Copilot or similar) to enhance coding productivity and quality.

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.