Sr Server Software Engineer
Listed on 2026-07-15
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Software Development
Backend Developer, Cloud Engineer - Software, Full Stack Developer, DevOps
Calling all innovators – find your future at Fiserv.
We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved.
If you want to make an impact on a global scale, come make a difference at Fiserv.
S…r Server Software Engineer
About Your RoleThe Employees team is dedicated to building tools that help merchants manage, schedule, and empower their workforce, optimize labor costs, and streamline team operations. As a Backend Engineer on this team, you will focus on scaling and expanding our employee management platform, shift‑scheduling systems, labor‑tracking mechanics, and integrations with industry‑leading enterprise payroll and workforce management platforms. You will work closely with the Infrastructure, Product, and Design teams in an iterative, agile environment to deliver seamless merchant‑ and employee‑facing features across multiple parts of the backend stack.
Whatyou’ll do
- Lead the development of the Employees platform, shift‑scheduling, and core backend ecosystems to drive platform evolution.
- Design, build, and maintain highly scalable REST APIs and microservices that power our smart payment devices, merchant dashboards, and integrations with enterprise third‑party partners.
- Partner with product managers and designers to identify technical requirements, assist with realistic project planning, and translate business objectives into clean, maintainable, and extensible software.
- Take full ownership of merchant‑ and employee‑facing features and workforce services from initial design and development through to deployment and production monitoring.
- Participate in rigorous system design and code reviews to ensure high code quality, security, and performance across the team.
- Collaborate with the Infrastructure team to design data models that support large‑scale, highly available workforce, shift management, and enterprise integration services.
- Work closely with QA to develop robust test plans/strategies and participate in an on‑call rotation to maintain system uptime and high availability.
- Responsibilities listed are not intended to be all-inclusive and may be modified as necessary.
- Education:
Bachelor’s degree in Computer Science, Engineering, or a related technical field. - Seniority: 10+ years of hands‑on professional software development experience, with a proven track record of delivering complex, production‑grade backend systems.
- Core Language:
Strong coding skills within the JVM ecosystem;
Java is our primary language of choice. - Frameworks:
Extensive experience building microservices and web services using Spring Boot. - Dev Ops/Infra:
Hands‑on experience building and deploying application containers using Kubernetes, along with practical knowledge of provisioning and managing infrastructure via Terraform. - Data Systems:
Strong working knowledge of SQL and No
SQL databases, including query optimization and schema design. - API Design:
Deep expertise in designing and implementing robust, secure, and performant RESTful APIs. - Code Quality:
Ability to write clean, testable, and high‑performance code that easily scales with high transaction volumes. - Soft Skills:
Superior problem‑solving, debugging, and communication skills—you can explain complex technical ideas clearly and collaborate effectively across teams.
- Hands‑on experience with cloud platforms, preferably Google Cloud Platform (GCP).
- Prior experience building workforce management, HR tech, shift scheduling, payroll, or labor optimization platforms, or developing deep backend integrations with large external enterprise software systems.
- Knowledge of or exposure to Generative AI concepts, LLM integrations, or building AI‑driven features for smart scheduling, labor forecasting, or automated workforce optimization.
- Familiarity with leveraging modern software productivity tools…
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