Software Development Engineering - Advisor II at Fiserv in Berkeley Heights, NJ

  • Company: Fiserv
  • Location: Berkeley Heights, New Jersey
  • Salary: $128K – $216K
  • Job type: full time
  • Workplace: onsite
  • Posted: 2026-10-21

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Job description

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. Job Title Software Development Engineering - Advisor II About your role: At Fiserv, we are transforming our payment platforms to deliver modern, scalable, resilient, and secure digital payment experiences. As a Software Development Engineering - Advisor II, you will play a key technical role in the SnapPay modernization program, designing and delivering cloud-native services and APIs that support critical payment capabilities. You will work closely with product, architecture, engineering, QA, security, and infrastructure teams to translate business capabilities into well-defined specifications and production-ready solutions. You will leverage AI-assisted software development and specification-driven development practices to accelerate delivery while maintaining high standards for architecture, security, testing, and engineering quality. What you'll do: Lead the design and development of cloud-native services, APIs, and payment capabilities Design and implement scalable, highly available, resilient, and secure microservices using C#/.NET and Microsoft Azure. Develop well-defined REST APIs and domain-aligned services using sound API design and Domain-Driven Design (DDD)principles. Apply specification-driven development practices by translating business requirements into structured functional and technical specifications that guide implementation and testing. Use AI-assisted engineering tools throughout the SDLC to accelerate requirements analysis, solution design, code generation, refactoring, code review, test generation, documentation, and troubleshooting. Review, validate, and improve AI-generated code and technical artifacts to ensure they meet architecture, security, performance, maintainability, and engineering standards. Build solutions for critical payment scenarios including transaction processing, idempotency, retries, error handling, asynchronous processing, and cross-domain event communication. Design and implement data-access patterns using technologies such as Azure SQL, Cosmos DB, and Redis. Develop event-driven integrations using technologies such as Azure Service Bus and Azure Event Hubs. Implement application security patterns including token-based authentication, authorization, secure service-to-service communication, and secrets management. Develop automated unit, integration, API, and component tests, including effective use of AI-assisted test generation while maintaining appropriate engineering validation. Experience you'll need to have: 6+ years of professional software development experience, including designing and delivering enterprise-grade applications. 4+ years of hands-on C#/.NET development experience, preferably building APIs, microservices, or distributed backend services. 3+ years of experience with Microsoft Azure and cloud-native application development. Strong experience designing and developing RESTful APIs and microservice-based architectures. Strong experience with SQL and relational database design, transactional processing, query optimization, and data-access patterns. Experience with distributed application concepts including idempotency, retries, resiliency, caching, asynchronous processing, and eventual consistency. Experience with messaging or event-driven architectures using technologies such as Azure Service Bus, Event Hubs, Kafka, or equivalent. Experience with CI/CD, automated testing, source control, and modern DevOps practices. Hands-on experience using AI-assisted softwa

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