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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Full Stack Backend Engineer (Java, Spring Boot, Cloud & DevOps) - **Company:** NTT DATA, Inc. - **Location:** Irving, TX, United States - **Experience:** Expert - **Salary:** $124,800.0 - $145,600.0 - **Contract:** Contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Application Frameworks, Application Release Automation, User Authentication, Build Automation, Microsoft Azure, Cloud Computing, Cloud Engineering, Software Quality, Continuous Integration, DevOps, Disaster Recovery, Distributed Systems, JSON, Junit, Python (Programming Language), Apache Maven, Performance Tuning, Scrum Methodology, RabbitMQ, Release Management, Mockito, Fortify (Software), Swagger, Message Oriented Middleware, Software Engineering, SONAR (Symantec), Systems Integration, YAML, Openapi, Datadog, Cloudbees, Data Logging, Webinspect, Scripting, Enterprise Software Applications, DevOps Tools - Open-source, Istio, System Availability, Spring-boot, Backend, Git, Containerization, Git Flow, Integration Tests, Kubernetes, Information Technology, Apache Kafka, Graphql, Video Streaming, Api Design, Restful APIs, Software Version Control, Docker, Jenkins, Microservices - **Published:** October 30, 2026 - **Apply:** https://www.dice.com/job-detail/daafd27c-7d7b-469d-961c-85fe5b2a514d ## About the Role * Minimum 10+ years of overall software engineering experience designing, developing, and supporting enterprise-grade applications, including significant hands-on backend engineering responsibilities. * Minimum 7+ years of hands-on experience with Java, including at least 5+ years using Spring Boot to design and build production-grade microservices and backend services. * Minimum 5+ years of experience with microservices architecture, distributed systems, RESTful APIs, service integration, and API design; hands-on GraphQL experience strongly preferred. * Minimum 4+ years of experience using Python for automation, scripting, backend services, platform utilities, or engineering productivity solutions. * Minimum 5+ years of experience designing or using common application/service frameworks for logging, exception handling, auditing, policy enforcement, authentication, and authorization. * Minimum 5+ years of hands-on experience with CI/CD and release automation using Jenkins, CloudBees, Git-based pipelines, Maven, or comparable enterprise DevOps tooling. * Minimum 4+ years of experience with containerized application delivery using Docker and Kubernetes, including deployment, configuration, scaling, and production troubleshooting. * Minimum 4+ years of cloud engineering experience across AWS and/or Azure, including cloud-native architecture, scalability, availability, security, and modernization patterns; experience with both platforms is preferred. * Minimum 3+ years of experience with production observability and monitoring using Datadog or comparable platforms for logging, metrics, tracing, alerting, and incident troubleshooting. * Minimum 5+ years of experience supporting production applications, including incident resolution, root-cause analysis, performance optimization, reliability improvements, and operational support. * Minimum 3+ years of experience evaluating or implementing resiliency, high availability, disaster recovery, RTO, and RPO requirements for enterprise applications. * Minimum 5+ years of experience with Git-based source control, including Git CLI, branching strategies, pull/merge request workflows, and release management practices. * Minimum 5+ years of experience writing automated unit and integration tests using frameworks such as JUnit, Mockito, PowerMock, or equivalent testing technologies. * Minimum 3+ years of experience working with application quality and security scanning tools such as Sonar, Fortify, WebInspect, or comparable solutions. * Minimum 5+ years of experience working in Agile/Scrum delivery environments and collaborating with architects, product owners, engineering teams, infrastructure, security, and business stakeholders. Travel: Ability to travel as required based on project and client needs. Degree: Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field; equivalent relevant work experience may be considered. Nice to Have; (But not a must) * Experience with service mesh technologies and advanced Kubernetes networking/security concepts. * Experience with asynchronous messaging or streaming technologies such as Kafka and RabbitMQ. * Familiarity with Swagger/OpenAPI, JSON, YAML, and enterprise API governance standards. * Experience with PCF or other enterprise application platforms and modernization/migration initiatives. * Technical lead or project lead experience guiding engineers and influencing architecture decisions across multiple teams. * Strong stakeholder communication skills with the ability to explain technical trade-offs, risks, and recommendations to both technical and non-technical audiences. ## Description Role Overview: Senior hands-on engineering role responsible for designing, developing, deploying, and supporting enterprise-grade applications using Java/Spring Boot, Python, cloud platforms, microservices, and modern DevOps practices. The role requires end-to-end ownership, technical leadership, production reliability, and a strong focus on scalable, secure, and resilient solutions. Day to Day job Duties: * Design, develop, enhance, and maintain scalable, secure, and high-performance enterprise applications and microservices using Java/Spring Boot and related backend technologies. * Own solutions end-to-end from requirements and technical design through development, testing, deployment, production support, and continuous improvement. * Lead technical design discussions, establish engineering standards, and guide development teams on architecture, coding, security, resiliency, and performance best practices. * Develop and integrate RESTful and GraphQL APIs and distributed services, including reusable frameworks for logging, error handling, auditing, policy management, authentication, and authorization. * Build automation and backend utilities using Python for engineering productivity, operational support, and platform integration. * Design, build, and optimize CI/CD pipelines using tools such as CloudBees, Jenkins, Git-based pipelines, Maven, Docker, Kubernetes, and Spring Boot. * Apply strong Git CLI and branching/release management practices to support reliable software delivery and controlled production releases. * Partner with cross-functional application, infrastructure, security, architecture, and operations teams to deliver robust solutions across AWS and Azure environments. * Implement production observability using Datadog and related logging, monitoring, tracing, and alerting practices; troubleshoot incidents and drive root-cause remediation. * Conduct disaster recovery architecture analysis to validate Recovery Time Objectives (RTO) and Recovery Point Objectives (RPO), and recommend improvements for resilience and recoverability. * Support cloud modernization and cloud-native adoption, including containerized deployments, Kubernetes-based operating models, scalability patterns, and resilient distributed architectures. * Identify, evaluate, and introduce new technologies, engineering patterns, and capabilities that improve reliability, developer productivity, security, and operational efficiency. * Create unit and integration tests, resolve defects, maintain technical documentation, and ensure adherence to the full Software Development Life Cycle and Agile delivery practices.