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Continuous Improvement & Quality Assurance Manager
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Closed listing

Fiserv

Senior Software Architect - Platform

Alpharetta, GA, United States

Salary Range $145,000.00 - $240,000.00

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Pay: Salary Range $145,000.00 - $240,000.00
Experience: 10+ years of progressive software and data engineering experience, including significant responsibility for architecture and hands-on delivery of distributed systems.
Posting language: English
Posted: Nov 4, 2026

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Original job description

Archived listing. The details below describe a past opening.

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 Senior Software Architect - Platform

About your role:

Data Commerce Solutions (DCS) is a Fiserv business unit that turns the company's differentiated data into scalable data platforms and products across credit, marketing, verification, fraud, and data insights. The Senior Software Architect - Platform is the hands-on technical owner of reusable platform capabilities that support multiple DCS product verticals, combining architecture with direct software engineering. The desired outcome is secure, scalable, supportable platform services, including the capability to migrate data science proofs of concept into versionable, enterprise-scale production code.

What you’ll do:

Own the architecture, design, coding, testing, and production implementation of shared data and software platform capabilities; this is a hands-on engineering role, not an advisory-only position.
Create an engineering framework and automation that converts data science proofs of concept (notebooks, Python code, features, models, and validation logic) into modular, testable, version-controlled, deployable software, including CI/CD, validation, promotion, observability, rollback, and lineage.
Re-engineer proof-of-concept workloads for enterprise scale, including distributed processing, low-latency serving, batch throughput, fault tolerance, and cost optimization.
Build reference implementations and production code using technologies such as Java, Python, Spark, Spring Boot, APIs, microservices, containers, Kubernetes, and cloud-native data services.
Architect reusable, secure platform services for data ingestion, feature engineering, model execution, workflow orchestration, metadata, policy enforcement, and monitoring, with built-in security and privacy controls.
Establish coding standards, reusable libraries, templates, test harnesses, and paved-road deployment patterns, and partner with data scientists, product, security, DevOps, and SRE teams to define production-readiness criteria.
Lead architecture decisions through working code, prototypes, design documentation, and performance tests; participate in production issue resolution; and evaluate emerging technologies to improve reliability, scalability, and engineering velocity.

Experience you’ll need to have:

10+ years of progressive software and data engineering experience, including significant responsibility for architecture and hands-on delivery of distributed systems.
Advanced coding proficiency in Java, plus strong working knowledge of Python and data science development patterns.
Demonstrated experience converting notebooks, experimental pipelines, models, or analytical prototypes into versioned, tested, maintainable production software.
Deep experience with Spark, microservices, REST or event-driven APIs, SQL and NoSQL systems, containerization, Kubernetes, and cloud architecture, preferably Microsoft Azure.
Experience designing CI/CD and MLOps or DataOps workflows, including artifact repositories, automated testing, model or feature versioning, observability, and controlled promotion across environments.
Strong understanding of distributed systems, performance engineering, data formats such as Iceberg, Delta Lake, Avro, and Parquet, and Lakehouse, batch, and streaming architectures, plus hands-on knowledge of Git, Maven or Gradle, automated testing, Agile, and DevOps practices.
Proven ability to mentor early-career engineers while maintaining high engineering standards, and to communicate complex architecture through concise documentation, diagrams, and code.
Bachelor's degree in computer science, engineering, or a related field, or an equivalent combination of education and relevant experience.

Experience that would be great to have:

Experience building internal developer platforms, model or feature platforms, code transformation frameworks, or self-service engineering capabilities.
Experience with domain-driven design, test-driven development, infrastructure as code, SRE practices, and high-volume transaction processing.
Experience in financial services, banking, payments, credit, marketing, verification, fraud, or data insights.
Master's degree in computer science, engineering, data science, or a related discipline.

How you’ll work:

This role is on-site Monday through Friday. Fiserv considers in-person collaboration to be an essential part of this role as in-person office experiences help you with your overall onboarding experience and leads to stronger productivity.

Travel:

Approximately 10% travel off-site or to other office locations is expected.

Sponsorship:

You must currently possess valid and unrestricted U.S. work authorization to be considered for this role. Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or TN, or any candidate requiring sponsorship, now or in the future, will not be considered.

Salary Range $145,000.00 - $240,000.00

These pay ranges apply to employees in New Jersey and New York. Pay ranges for employees in other states may differ.

It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.

For incentive eligible associates, the successful candidate is eligible for an annual incentive opportunity which may be delivered as a mix of cash bonus and equity awards in the Company’s sole discretion.

Thank you for considering employment with Fiserv. Please:

Apply using your legal name
Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

Our commitment to Equal Opportunity:

Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.

If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process, please contact AskHR.US@fiserv.com. Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiserv’s Disability Accommodation Policy for additional information.

Note to agencies:

Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.

Warning about fake job posts:

Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

About employer

More about this job

Skills

DCS
Python
CI/CD
Oracle Java
Apache Spark
Spring Boot
Microservices
Kubernetes
Documentation
Data engineering
Industrial software
SQL
NoSQL
Microsoft Azure
Test automation
Apache Avro
Git
Apache Maven
Gradle
Agile
DevOps
Computer science
Infrastructure as code
Transaction processing
Collaboration
Onboarding
CPT

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