Top Senior Java Developer Jobs in Dallas, TX

Leads software engineering for secure, scalable banking applications using Java, Spring, and AWS. Designs, develops, tests, troubleshoots, and reviews production code while improving automation, resiliency, and operational stability. Drives responsible adoption of AI-assisted development tools, coaches engineers on secure validation practices, evaluates architectural solutions, and promotes modern engineering standards across teams. Requires advanced Java and Spring expertise, strong AWS experience, CI/CD proficiency, web security knowledge, and hands-on Agile delivery experience.

Leads software engineering for secure, scalable banking technology products. Designs, develops, tests, reviews, debugs, and troubleshoots production code using Python, Java, Spring, and AWS. Drives automation, CI/CD, application resiliency, security, and operational stability. Promotes responsible AI-assisted development practices, evaluates vendor technologies, coaches engineers, and leads communities of practice.

Leads software engineering within an agile banking technology team. Designs, develops, secures, tests, troubleshoots, and operates scalable applications using Python, Java, Spring, and AWS. Reviews code, improves automation and operational resilience, promotes responsible AI-assisted engineering practices, and evaluates architectural solutions with vendors and internal teams. The role requires strong cloud-native development, CI/CD, web security, system design, and production support experience.

Leads development of full-stack, cloud-native software using Java, Python, and AWS. Builds secure microservices, APIs, and LLM-powered capabilities; establishes engineering, testing, reliability, observability, and CI/CD standards; mentors engineers; drives responsible AI-assisted development; and manages production operations, incident response, and technical direction across agile initiatives.

Lead end-to-end delivery of cloud-native, full-stack software initiatives, defining architecture, engineering standards, reliability practices, observability, CI/CD, and secure production operations. Build microservices, APIs, and AI capabilities using LLMs and generative AI. Guide responsible AI-assisted development, lead incident response and continuous improvement, mentor engineers, and align technical priorities across stakeholders and initiatives.

Leads the design, development, deployment, and support of secure, scalable Java and Spring Boot microservices and REST APIs. Provides technical leadership across the software development lifecycle, cloud-native AWS deployments, PostgreSQL data architecture, CI/CD, observability, resiliency, and production support. Establishes engineering standards for secure AI-assisted development, reviews code, mentors engineers, evaluates architecture, drives automation and modernization, and improves system reliability in a regulated environment.

Leads end-to-end software engineering and solution delivery for commercial lending products. Provides architecture direction, hands-on design and coding, code reviews, technical strategy, roadmap development, Agile team leadership, proof-of-concept development, and platform stability improvements. Partners with product, architecture, platform, and leadership teams to deliver secure, scalable enterprise solutions while leveraging cloud, AI, automation, and data engineering capabilities.

Leads a team developing and modernizing identity and access management solutions. Responsibilities include building secure Java and Spring Boot microservices, integrating authentication platforms, anti-fraud and biometric solutions, developing REST APIs and UI components, designing authentication data infrastructure, reviewing code, troubleshooting systems, and guiding responsible AI-assisted engineering practices.

Lead modernization of a web product using React, Java, and Spring Boot. Responsibilities include designing scalable micro-frontends, accessible high-performance interfaces, backend APIs, distributed integrations, CI/CD, cloud operations, observability, automated testing, and production conversational or agentic AI features. The role also guides responsible AI-assisted engineering practices, establishes technical standards, troubleshoots production issues, and leads adoption of secure, reliable development patterns.

Leads multiple software engineering teams, technical strategy, and large-scale cloud-native initiatives. Oversees distributed microservices and full-stack systems using Java, Go, AWS, Kubernetes, databases, and modern development practices. Partners with product and architecture leaders on technology roadmaps, investment priorities, regulatory solutions, and enterprise alignment. Develops engineering leaders, builds succession plans, drives engineering OKRs, and ensures reliable delivery of cross-functional programs while occasionally coding or evaluating code.

Leads software engineering for secure, scalable enterprise applications within an agile infrastructure platform team. Provides technical direction, develops and reviews production code, modernizes architectures, and establishes engineering governance across SDLC practices. Drives responsible AI-assisted development, automated testing, observability, secure coding, and operational stability. Serves as a technical subject matter expert, mentors engineers, promotes reusable frameworks, and influences product design, application functionality, and technical operations.

Leads design, development, testing, troubleshooting, and production delivery of secure Java and Spring Boot services, REST APIs, event-driven integrations, and React applications. Provides technical leadership through architecture and code reviews, CI/CD, cloud-native operations, observability, and automation. Guides responsible adoption of AI-assisted engineering tools, evaluates vendor technologies, improves system resiliency, and mentors teams on secure, compliant software practices.

Leads development of full-stack, cloud-native software using Java, Python, AWS, microservices, APIs, and PostgreSQL. Designs scalable and secure systems, builds LLM and generative AI capabilities, and integrates AI agents into engineering workflows. Improves operational stability through automation and observability while contributing to Agile delivery, system architecture, and technical standards. Collaborates across initiatives and promotes responsible, secure validation of AI-assisted development outputs.

Leads the design, development, testing, and operation of secure, scalable cloud-native software services. Provides technical direction, writes and reviews production code, develops AWS APIs and event-driven microservices, manages Terraform infrastructure, and improves CI/CD, testing, observability, and reliability. Establishes governance for responsible AI-assisted engineering, validates AI outputs for security and quality, promotes engineering standards, and coaches teams on compliant development practices.

Leads software engineering initiatives within an agile banking technology team. Designs, develops, reviews, debugs, and troubleshoots secure production code; drives responsible AI-assisted development practices; improves automation and operational stability; evaluates architectures and vendors; and promotes modern engineering technologies. The role requires advanced programming, generative AI and machine learning familiarity, distributed systems, cloud platforms, microservices, APIs, databases, containerization, performance testing, and chaos engineering experience.

Design and develop Java microservices with Spring Boot, deploy scalable applications on AWS, build REST APIs, integrate databases and messaging systems, and support testing, troubleshooting, code reviews, and technical design. The role requires strong system design and distributed-systems expertise, experience with regulated financial services, and collaboration with architects, product teams, and developers.

Develop and maintain backend financial applications using Java and Spring Boot. Design REST APIs, microservices, and service-oriented systems; write automated tests; conduct code reviews; remediate security and performance issues; and contribute to architecture, CI/CD, Kubernetes, Docker, and Agile delivery. Collaborate with technical teams and stakeholders to define requirements and implement enterprise solutions, with opportunities to influence engineering standards and technical decisions.

Leads software engineering efforts for secure, scalable banking technology. Designs, develops, tests, debugs, and reviews production code while guiding teams in responsible AI-assisted development. Applies Java, cloud, microservices, distributed systems, generative AI, performance testing, and chaos engineering practices. Evaluates technical solutions with vendors and internal teams, automates recurring remediation, improves operational stability, and leads engineering communities of practice.

Develop and maintain web-based business applications across the full software development lifecycle, including requirements analysis, design, coding, testing, documentation, and database development. Build Java and Spring Boot applications, RESTful APIs, front-end interfaces, and client/server systems. Collaborate across technical disciplines while managing multiple priorities. English and Korean bilingual communication is required.

Develops secure, scalable software solutions using Java, Python, AWS, Terraform, and Kafka. Designs complex applications, creates architecture artifacts, delivers end-to-end systems, and ensures testing and operational stability. Leads responsible adoption of AI-assisted development tools, validates AI outputs, improves automation and CI/CD practices, and analyzes data to enhance code quality and system architecture. Collaborates within agile teams supporting corporate technology functions.

Lead development of secure, scalable Java full-stack applications for mortgage technology. Design, develop, test, troubleshoot, review, and debug production code; improve operational stability through automation and remediation. Drive responsible adoption of enterprise-approved AI-assisted development tools, establish validation and security standards, coach engineers, and evaluate vendor and architectural solutions. Collaborate within agile teams using SDLC, CI/CD, resiliency, and security practices.

Leads development of secure, scalable backend services and APIs using Java, Spring Boot, microservices, AWS, and cloud-native technologies. Designs infrastructure with Terraform, manages containerized applications, builds event-streaming solutions, and works with relational and NoSQL databases. Drives code quality, automation, observability, SRE practices, remediation of recurring issues, and responsible use of AI-assisted engineering tools. Evaluates vendor and internal architectural solutions while reviewing and troubleshooting production code.

Leads full-stack software engineering across design, development, testing, troubleshooting, and operational stability. Builds secure production code using Java or Python and React, reviews peer code, and promotes AI-assisted engineering practices with secure validation standards. Drives automation, continuous delivery, application resiliency, cloud-native development, vendor evaluations, architectural improvements, and technical communities of practice within financial technology.

Lead technical contributions on architecture and data solutions: design and build secure, high-quality Java/Spring production code, guide teams and vendors, adopt enterprise AI-assisted engineering practices, improve SDLC automation, support system design, testing, model hosting (XGBoost), and low-latency/high-throughput production support.

Leads software engineering within JPMorgan Chase’s Risk Technology team, designing, developing, testing, debugging, and operating secure, scalable applications. Reviews production code, automates recurring issue remediation, evaluates vendor and architectural solutions, promotes emerging technologies and AI adoption, and leads software engineering communities of practice. Requires strong Java and AWS experience, cloud-native development, CI/CD, agile methodologies, application resiliency, security, and financial-services technology knowledge.