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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Backend Software Engineer - **Company:** PAR Government Systems Corporation - **Location:** Phoenix, AZ, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Adobe InDesign, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Elastic Compute Cloud, Amazon S3, Audit Trail, Software Quality, Code Review, Computer Engineering, Continuous Integration, Data Governance, Information Leak Prevention, Data Security, DevOps, Distributed Systems, Payment Systems, Fault Tolerance, Github, Gradle, Apache Hadoop, Integrated Development Environments, Java Database Connectivity, Spring Framework, JSON, Junit, Python (Programming Language), PostgreSQL, Apache Maven, MongoDB, NoSQL, Performance Tuning, Secure Coding, Software Engineering, Data Streaming, Extensible Markup Language (XML), Multithreading, Retrieval-Augmented Generation, System Availability, Large Language Models, Prompt Engineering, Apache Spark, Spring-boot, Caching, Backend, Amazon Relational Database Service, Information Technology, Low Latency, Deployment Automation, Apache Kafka, Data Management, Asynchronous Programming, Restful APIs, Amazon Simple Queue Service (SQS), Spring Batch, Api Management, Docker, Jenkins, Microservices - **Published:** August 25, 2026 - **Apply:** https://www.dice.com/job-detail/dfdd38ec-6b03-4d1f-81c1-e1443fb9cae1 ## About the Role * 8+ years of software development experience; bachelor's or master's degree in computer science, computer engineering, or related technical discipline preferred. * Strong hands-on backend engineering experience with Java and its frameworks. * Extensive hands-on experience building distributed applications and operating scalable, low-latency services across complex enterprise environments. * Strong understanding of REST APIs, JSON, XML, service contracts, integration patterns, and API lifecycle practices. * Hands-on experience with Spring, Spring Boot, Spring Batch, JUnit, JDBC, Gradle/Maven, Jenkins, and modern CI/CD practices. * Experience with Kafka or similar streaming/event-driven technologies; Kafka Streams experience is highly desirable. * Practical knowledge of distributed systems, caching, high availability techniques, multi-threading, and performance analysis. * Experience with relational and NoSQL databases such as PostgreSQL, MongoDB, and similar data platforms. * Commitment to continuous integration, automated/repeatable testing, secure coding practices, and collaborative engineering environments. * Ability to think abstractly, work through ambiguous problems, and enable business capabilities through * pragmatic technical decisions. * Excellent written and verbal communication skills with the ability to partner across engineering, product, architecture, and operations. * Experience mentoring, coaching, and influencing engineers while remaining hands-on with design and development. You have strong expertise with the following: * Docker, Github capabilities, and deployment automation in modern platform environments. * Payment systems, real-time transaction platforms, customer account management, data/reporting, or * fintech APIs. * Full-stack development exposure and/or Data side experience with Python, Hadoop, or Spark. * Experience with in-memory computing solutions and advanced performance optimization techniques. * Leadership experience in a fast-paced development environment, including technical ownership, design * facilitation, and delivery of accountability. Big Plus if you have: The primary focus of this role is core backend engineering. GenAI experience is a preferred differentiator for candidates who can apply AI responsibly in regulated enterprise environments. * Exposure to LLM-powered applications, prompt engineering, structured outputs, or tool/function calling. * Familiarity with Retrieval-Augmented Generation patterns such as ingestion, chunking, embeddings, * vector search, reranking, and relevance tuning. * Awareness of GenAI guardrails, evaluation approaches, hallucination mitigation, PII handling, prompt * injection risks, and data leakage controls. * Experience with AWS services such as EC2, RDS, S3, and SQS, along with cloud-native architecture * and DevOps practices. * Experience working with governance practices such as data governance, secure data access, shared * schemas, service contracts, auditability, compliance controls, and risk-aware engineering in regulated * environments. * Experience contributing to platform architecture across shared services, APIs, identity, payments, * partner ecosystems, data governance, and modernization efforts. ## Description * Design, develop, and maintain backend services for Digital Banking platforms that support high transaction volume, security, scalability, and reliability. * Lead distributed systems design across service decomposition, asynchronous communication, fault tolerance, idempotency, backpressure, consistency of trade-offs, and graceful degradation. * Build Java microservices, REST APIs, batch jobs, and event-driven workflows using modern engineering patterns. * Contribute to workflow implementations and champion workflow orchestration best practices across services. * Engage in hands-on design and development as part of a nimble agile team, contributing to architecture, code quality, delivery execution, and operational readiness. * Ensure platforms are safely extensible, scalable, observable, reliable, and aligned to SLAs for internaland external users. * Design solutions that are testable, intuitive, maintainable, and easy for engineering teams to operate over time. * Actively participate in design reviews, code reviews, and engineering discussions for key components and cross-enterprise initiatives. * Partner with stakeholders to translate business capabilities into secure, performant, and maintainable technical solutions. * Provide technical mentorship to engineers, help teams overcome complex problems, and raise engineering standards across the team. ## Related Videos - [The Future of Developer Experience with GenAI: Driving Engineering Excellence](https://www.wearedevelopers.com/videos/1107-the-future-of-developer-experience-with-genai-driving-engineering-excellence) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [How Unit Testing Saved My Career](https://www.wearedevelopers.com/videos/1642-how-unit-testing-saved-my-career) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) - [From boy scouting to redrawing the landscape](https://www.wearedevelopers.com/videos/1140-from-boy-scouting-to-redrawing-the-landscape) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [The Prompt Engineer ✍️](https://www.wearedevelopers.com/magazine/216-the-prompt-engineer) - [Got AI ideas but no money? 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