{"schemaVersion":"jobsearcher.job.v1","id":"7117f152b5ac99e923ad9e96","url":"https://jobsearcher.com/jobs/7117f152b5ac99e923ad9e96","canonicalUrl":"https://jobsearcher.com/jobs/7117f152b5ac99e923ad9e96","title":"Java Backend Developer with Digital Banking exp.","description":"Role summary: This role strengthens the Digital Banking engineering bench with senior hands-on backend expertise across secure microservices, APIs, distributed systems, Kafka, reliability, and production readiness. The position supports faster delivery of banking capabilities while reducing operational risk through stronger engineering quality, observability, scalability, and technical leadership. GenAI/RAG/LLM exposure is positioned as a primary differentiator, not a core hiring requirement.\n\nJob Description\n\nJoining the Digital Banking technology team means shaping secure, scalable, and resilient banking capabilities that support customer-facing financial experiences. In this role, you will apply deep backend engineering expertise across the software development lifecycle while partnering with product, architecture, operations, and business stakeholders to deliver high-quality platform services.\n\nThe Digital Banking platform focuses on accelerating financial innovation and enabling new banking products while maintaining high availability, resilience, observability, and engineering quality. The team builds and modernizes backend services, APIs, event-driven workflows, and integration patterns that support reliable delivery at scale.\n\nAs part of the team\n\nAs part of the team, you will work in a culture focused on engineering excellence, shared ownership, and continuous improvement. You will stay hands-on while influencing architecture, mentoring engineers, and partnering across product and business teams to deliver secure, customer-facing financial capabilities.\n\nResponsibilities\n\nDesign, develop, and maintain backend services for Digital Banking platforms that support high transaction volume, security, scalability, and reliability.\n\nLead distributed systems design across service decomposition, asynchronous communication, fault tolerance, idempotency, backpressure, consistency of trade-offs, and graceful degradation.\n\nBuild Java microservices, REST APIs, batch jobs, and event-driven workflows using modern engineering patterns.\n\nContribute to workflow implementations and champion workflow orchestration best practices across services.\n\nEngage in hands-on design and development as part of a nimble agile team, contributing to architecture, code quality, delivery execution, and operational readiness.\n\nEnsure platforms are safely extensible, scalable, observable, reliable, and aligned to SLAs for internal and external users.\n\nDesign solutions that are testable, intuitive, maintainable, and easy for engineering teams to operate over time.\n\nActively participate in design reviews, code reviews, and engineering discussions for key components and cross-enterprise initiatives.\n\nPartner with stakeholders to translate business capabilities into secure, performant, and maintainable technical solutions.\n\nProvide technical mentorship to engineers, help teams overcome complex problems, and raise engineering standards across the team.\n\nQualifications\n\n8+ years of software development experience; bachelor//'s or master//'s degree in computer science, computer engineering, or related technical discipline preferred.\n\nStrong hands-on backend engineering experience with Java and its frameworks.\n\nExtensive hands-on experience building distributed applications and operating scalable, low-latency services across complex enterprise environments.\n\nStrong understanding of REST APIs, JSON, XML, service contracts, integration patterns, and API lifecycle practices.\n\nHands-on experience with Spring, Spring Boot, Spring Batch, JUnit, JDBC, Gradle/Maven, Jenkins, and modern CI/CD practices.\n\nExperience with Kafka or similar streaming/event-driven technologies; Kafka Streams experience is highly desirable.\n\nPractical knowledge of distributed systems, caching, high availability techniques, multi-threading, and performance analysis.\n\nExperience with relational and NoSQL databases such as PostgreSQL, MongoDB, and similar data platforms.\n\nCommitment to continuous integration, automated/repeatable testing, secure coding practices, and collaborative engineering environments.\n\nAbility to think abstractly, work through ambiguous problems, and enable business capabilities through pragmatic technical decisions.\n\nExcellent written and verbal communication skills with the ability to partner across engineering, product, architecture, and operations.\n\nExperience mentoring, coaching, and influencing engineers while remaining hands-on with design and development.\n\nYou have strong expertise with the following:\n\nDocker, Github capabilities, and deployment automation in modern platform environments.\n\nPayment systems, real-time transaction platforms, customer account management, data/reporting, or fintech APIs.\n\nFull-stack development exposure and/or Data side experience with Python, Hadoop, or Spark.\n\nExperience with in-memory computing solutions and advanced performance optimization techniques.\n\nLeadership experience in a fast-paced development environment, including technical ownership, design facilitation, and delivery of accountability.\n\nBig Plus if you have:\n\nThe 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.\n\nExposure to LLM-powered applications, prompt engineering, structured outputs, or tool/function calling.\n\nFamiliarity with Retrieval-Augmented Generation patterns such as ingestion, chunking, embeddings, vector search, reranking, and relevance tuning.\n\nAwareness of GenAI guardrails, evaluation approaches, hallucination mitigation, PII handling, prompt injection risks, and data leakage controls.\n\nExperience with AWS services such as EC2, RDS, S3, and SQS, along with cloud-native architecture and DevOps practices.\n\nExperience 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.\n\nExperience contributing to platform architecture across shared services, APIs, identity, payments, partner ecosystems, data governance, and modernization efforts.","company":"Eapps Tech Dba Magicforce","rawCompany":"eapps tech dba magicforce","city":"Phoenix","state":"AZ","isRemote":false,"isActive":false,"createdAt":"2026-08-28T09:40:17.184Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Java Backend Developer with Digital Banking exp.","description":"Role summary: This role strengthens the Digital Banking engineering bench with senior hands-on backend expertise across secure microservices, APIs, distributed systems, Kafka, reliability, and production readiness. The position supports faster delivery of banking capabilities while reducing operational risk through stronger engineering quality, observability, scalability, and technical leadership. GenAI/RAG/LLM exposure is positioned as a primary differentiator, not a core hiring requirement.\n\nJob Description\n\nJoining the Digital Banking technology team means shaping secure, scalable, and resilient banking capabilities that support customer-facing financial experiences. In this role, you will apply deep backend engineering expertise across the software development lifecycle while partnering with product, architecture, operations, and business stakeholders to deliver high-quality platform services.\n\nThe Digital Banking platform focuses on accelerating financial innovation and enabling new banking products while maintaining high availability, resilience, observability, and engineering quality. The team builds and modernizes backend services, APIs, event-driven workflows, and integration patterns that support reliable delivery at scale.\n\nAs part of the team\n\nAs part of the team, you will work in a culture focused on engineering excellence, shared ownership, and continuous improvement. You will stay hands-on while influencing architecture, mentoring engineers, and partnering across product and business teams to deliver secure, customer-facing financial capabilities.\n\nResponsibilities\n\nDesign, develop, and maintain backend services for Digital Banking platforms that support high transaction volume, security, scalability, and reliability.\n\nLead distributed systems design across service decomposition, asynchronous communication, fault tolerance, idempotency, backpressure, consistency of trade-offs, and graceful degradation.\n\nBuild Java microservices, REST APIs, batch jobs, and event-driven workflows using modern engineering patterns.\n\nContribute to workflow implementations and champion workflow orchestration best practices across services.\n\nEngage in hands-on design and development as part of a nimble agile team, contributing to architecture, code quality, delivery execution, and operational readiness.\n\nEnsure platforms are safely extensible, scalable, observable, reliable, and aligned to SLAs for internal and external users.\n\nDesign solutions that are testable, intuitive, maintainable, and easy for engineering teams to operate over time.\n\nActively participate in design reviews, code reviews, and engineering discussions for key components and cross-enterprise initiatives.\n\nPartner with stakeholders to translate business capabilities into secure, performant, and maintainable technical solutions.\n\nProvide technical mentorship to engineers, help teams overcome complex problems, and raise engineering standards across the team.\n\nQualifications\n\n8+ years of software development experience; bachelor//'s or master//'s degree in computer science, computer engineering, or related technical discipline preferred.\n\nStrong hands-on backend engineering experience with Java and its frameworks.\n\nExtensive hands-on experience building distributed applications and operating scalable, low-latency services across complex enterprise environments.\n\nStrong understanding of REST APIs, JSON, XML, service contracts, integration patterns, and API lifecycle practices.\n\nHands-on experience with Spring, Spring Boot, Spring Batch, JUnit, JDBC, Gradle/Maven, Jenkins, and modern CI/CD practices.\n\nExperience with Kafka or similar streaming/event-driven technologies; Kafka Streams experience is highly desirable.\n\nPractical knowledge of distributed systems, caching, high availability techniques, multi-threading, and performance analysis.\n\nExperience with relational and NoSQL databases such as PostgreSQL, MongoDB, and similar data platforms.\n\nCommitment to continuous integration, automated/repeatable testing, secure coding practices, and collaborative engineering environments.\n\nAbility to think abstractly, work through ambiguous problems, and enable business capabilities through pragmatic technical decisions.\n\nExcellent written and verbal communication skills with the ability to partner across engineering, product, architecture, and operations.\n\nExperience mentoring, coaching, and influencing engineers while remaining hands-on with design and development.\n\nYou have strong expertise with the following:\n\nDocker, Github capabilities, and deployment automation in modern platform environments.\n\nPayment systems, real-time transaction platforms, customer account management, data/reporting, or fintech APIs.\n\nFull-stack development exposure and/or Data side experience with Python, Hadoop, or Spark.\n\nExperience with in-memory computing solutions and advanced performance optimization techniques.\n\nLeadership experience in a fast-paced development environment, including technical ownership, design facilitation, and delivery of accountability.\n\nBig Plus if you have:\n\nThe 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.\n\nExposure to LLM-powered applications, prompt engineering, structured outputs, or tool/function calling.\n\nFamiliarity with Retrieval-Augmented Generation patterns such as ingestion, chunking, embeddings, vector search, reranking, and relevance tuning.\n\nAwareness of GenAI guardrails, evaluation approaches, hallucination mitigation, PII handling, prompt injection risks, and data leakage controls.\n\nExperience with AWS services such as EC2, RDS, S3, and SQS, along with cloud-native architecture and DevOps practices.\n\nExperience 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.\n\nExperience contributing to platform architecture across shared services, APIs, identity, payments, partner ecosystems, data governance, and modernization efforts.","datePosted":"2026-08-28T09:40:17.184Z","dateModified":"2026-08-28T09:40:17.184Z","hiringOrganization":{"@type":"Organization","name":"Eapps Tech Dba Magicforce","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Phoenix","addressRegion":"AZ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"7117f152b5ac99e923ad9e96"},"url":"https://jobsearcher.com/jobs/7117f152b5ac99e923ad9e96"}}