
Fiserv Software Engineer candidates report recruiter or HR screening followed by resume-led technical discussions, with Java, Spring, APIs, microservices, coding, and behavioral topics appearing across accounts.
$128K
Avg. Base Comp
$168K
Avg. Total Comp
2-4 rounds
Typical Rounds
2 weeks
Process Length
Fiserv Software Engineer interviews reported here are often resume-driven technical conversations rather than one uniform coding format. Several candidates began with a recruiter or HR discussion of background, interest, eligibility, and fit. Technical interviews then asked candidates to connect past work to Java, Spring Boot, APIs, databases, microservices, debugging, testing, and production incidents.
Prepare to explain one project from architecture through implementation choices and operational tradeoffs. One candidate was asked to describe a production problem and how it was diagnosed and fixed; others encountered questions on Java fundamentals, generics, Spring scopes, Git, Linux commands, and API work. Some reports also include a basic system-design or API-design discussion, while other accounts describe coding, Python, or SQL prompts. That variation makes it sensible to practice concise explanations as well as live problem solving.
Behavioral and team-fit discussion can accompany or follow the technical work, including questions about career background, interest in the role, and how prior experience would translate to the team. Candidates report panel formats in several cases, and the pace may be rapid. Evidence is limited and individual teams appear to vary. Ask which stack, release practices, and team responsibilities apply to the opening rather than assuming every reported topic will recur.
Synthesized from 8 candidate reports by our editorial team.
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Real interview reports from people who went through the Fiserv process.
The final onsite was the most substantial part of my process. I first had a recruiter call, followed by a virtual conversation with an engineering director, before being invited to the King of Prussia office for a roughly two-and-a-half-hour onsite. The onsite was split across several panel-style interviews and felt largely grounded in my actual background rather than puzzle-heavy coding.
A lot of the discussion started from my resume and projects, then moved into backend engineering topics. I was asked about Java and Spring Boot, including Java generics, as well as how I had worked with backend APIs, microservices, and databases. They also covered unit testing, debugging, and Agile/Scrum practices. The system design portion stayed at a basic level but included thinking through microservices, so I would be ready to explain the tradeoffs behind the services and APIs you have built rather than only describing the high-level architecture.
There was also a meaningful behavioral and team-fit component. The interviewers asked about my experience and how I would fit into the team, so having clear examples from prior work was useful. Overall, I found the process fairly resume-driven and focused on practical Java backend knowledge. I did not receive an offer. My main advice is to be prepared to connect OOP concepts, generics, testing, exception handling, and microservice design directly to projects on your resume, because the conversation can move quickly from theory to how you have applied it.
Prep tip from this candidate
Prepare concrete examples from your resume that show Java/Spring Boot, backend APIs, microservices, databases, debugging, and unit testing in practice. Also review Java generics and be ready to discuss basic microservice system-design tradeoffs.
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Sourced from candidate reports and verified by our team.
Topics based on recent interview experiences.
Featured question at Fiserv
Write a function n_frequent_words that returns the top N frequent words and their frequencies, and state its run-time
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Synthesized from candidate reports. Individual experiences may vary.
Candidates report an initial recruiter or HR conversation covering their background, career interest, work eligibility, salary expectations, availability, or the technology stack. Prepare a concise account of your recent work and why the Fiserv Software Engineer role fits your experience.
Candidates report technical conversations centered on projects from their resumes, including Java and Spring Boot concepts, backend APIs, databases, microservices, testing, debugging, and a production issue they resolved. Be ready to explain decisions, constraints, and outcomes rather than only naming tools.
Some candidates report basic coding prompts, while others report system-design or simple API-design discussion. Reported examples include reverse string, frequency counting, and discussing microservice or API tradeoffs; candidates should practice explaining their reasoning aloud.
Candidates report hiring-manager or later behavioral conversations about team fit, motivation, strengths and weaknesses, and collaboration scenarios. Prepare specific STAR-style examples, and use this stage to ask about the team’s stack, responsibilities, and delivery practices.