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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Architect - Platform - **Company:** Fiserv, Inc. - **Location:** Alpharetta, GA, United States - **Experience:** Expert - **Salary:** $145,000.0 - $240,000.0 - **Contract:** Temporary contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Computing Platforms, Automation of Tests, Microsoft Azure, Cloud Engineering, Computer Programming, Continuous Integration, Information Engineering, Data Sharing, DevOps, Distributed Computing Environment, Distributed Systems, Fault Tolerance, Gradle, Python (Programming Language), Apache Maven, Metadata, NoSQL, Reliability Engineering, Site Reliability Engineering Practices, DataOps, SQL Databases, Management of Software Versions, Workflow Management Systems, Privacy Controls, Parquet, Transaction Processing (Computing), Performance Testing, Test-Driven Development (TDD), Feature Engineering, Data Ingestion, Apache Spark, Spring-boot, Git, Event Driven Architecture, Containerization, Data Lakes, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Avro, Production Code, Data Analytics, Machine Learning Operations, Restful APIs, Domain Driven Design, Microservices - **Published:** November 6, 2026 - **Apply:** https://dejobs.org/x/x/50CB1FF53472436CA9A153B120516F1C/job/ ## About the Role * 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., * 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. ## Description * 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., * 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.