Top Java Developer Jobs in Dallas, TX

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.

Lead development of scalable Java and Spring Boot microservices, REST APIs, Kafka-based event-driven systems, and cloud deployments on AWS. The role includes database optimization, CI/CD, infrastructure as code, automated testing, observability, production support, secure coding, technical design, code reviews, and mentoring. The engineer will also lead adoption and validation of AI-assisted development practices across the team.

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.

Build and lead full-stack software engineering initiatives using Java, TypeScript, AWS, microservices, cloud platforms, databases, APIs, containers, and open-source technologies. Provide technical leadership across Agile teams, define architectures and integration patterns, mentor engineers, improve system performance, reduce technical debt, and establish engineering standards. Collaborate with product managers and architects to deliver scalable solutions supporting regulatory needs and customer experiences.

Leads full-stack engineering projects and developers, designing distributed microservices and cloud-based systems. Builds and maintains solutions using Java, TypeScript, AWS, databases, containers, APIs, CI/CD, and modern development frameworks. Provides technical leadership across Agile teams, establishes engineering standards, mentors developers, partners with architects and product managers, improves system performance, reduces technical debt, and influences long-term technology strategy.

Build and lead development of distributed microservices, full-stack systems, and cloud-based solutions using Java, AWS, Kafka, and related technologies. Lead technology projects and developers, define service boundaries and integration patterns, improve system performance, reduce technical debt, establish engineering standards, mentor engineers, and influence long-term technology strategy. Collaborate with product managers, architects, and Agile teams to deliver reliable solutions supporting regulatory and customer needs.

Build and lead full-stack software engineering initiatives using distributed microservices, cloud platforms, APIs, databases, and modern front-end technologies. Provide technical leadership across Agile teams, establish engineering standards, mentor developers, partner with architects and product managers, improve system performance, reduce technical debt, and influence technology strategy. The role requires extensive experience with programming languages, cloud infrastructure, CI/CD, testing, version control, observability, and scalable systems.

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.

Build and lead full-stack software engineering initiatives using cloud-based, distributed microservices and full-stack systems. Lead developers, define service boundaries and integration patterns, establish engineering standards, mentor engineers, and deliver solutions supporting regulatory and customer needs. Develop with modern programming languages, AWS, databases, containers, APIs, CI/CD, infrastructure as code, automated testing, and observability. Drive technical strategy, refactoring, performance optimization, and reduction of technical debt across Agile teams.

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.

Lead software engineering projects and developer teams building cloud-based full-stack and distributed microservice solutions. Develop with multiple programming languages, AWS, databases, containers, APIs, and modern engineering tools. Provide technical leadership across Agile teams, establish coding and design standards, mentor engineers, improve system performance, reduce technical debt, and influence long-term technology strategy.

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.

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.

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.

Leads software engineering initiatives focused on application reliability, stability, support, and operational improvement. Designs and develops scalable systems, troubleshoots complex technical issues, analyzes data, and builds monitoring and reporting solutions. Applies AI-assisted development and agentic AI to automate incident detection, remediation, root-cause analysis, alerting, runbooks, and observability. Works with Java or Python, Kubernetes, AWS, monitoring platforms, Splunk, ticketing systems, CI/CD, and agile practices while mentoring engineers and promoting secure, responsible AI adoption.

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.

Leads software engineering for JPMorgan Chase’s Identity and Access Management team. Designs, develops, troubleshoots, and delivers secure, scalable Java and Spring Boot applications using microservices, REST APIs, cloud platforms, and relational databases. Creates architecture artifacts, maintains production code, identifies system and data issues, and improves engineering practices. Drives responsible adoption of AI-assisted development tools, establishes validation standards, coaches engineers on secure AI use, and contributes to engineering communities.

Lead engineering teams and technology projects that build reliable, cloud-native, full-stack systems. Design and implement distributed microservices, APIs, databases, and shared cloud platforms using Java, Python, AWS, containers, and modern AI tools. Provide technical leadership on architecture, resilience, observability, performance, coding standards, platform roadmaps, and enterprise technology strategy while mentoring engineers and partnering with product and architecture leaders.

Lead software engineer responsible for designing, developing, and delivering secure, scalable Java/Spring microservices. Drive team adoption of enterprise-authorized AI-assisted engineering practices, produce architecture artifacts, improve code quality via automation and CI/CD, troubleshoot complex issues, and coach engineers on responsible AI and secure coding standards.

Lead full-stack software engineering initiatives and developer teams building distributed, cloud-native systems and developer experience platforms. Design architectures, implement high-reliability services, shape technology roadmaps, mentor engineers, and collaborate with product and architecture leaders. Work with Java, Python, front-end frameworks, APIs, databases, Docker, Kubernetes, cloud platforms, CI/CD, infrastructure as code, automated testing, observability, and AI-based development tools.