Top Java Developer Jobs in Dallas, TX

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.

Build and lead full-stack software engineering projects using Java, Python, cloud platforms, microservices, databases, containers, and AI-enabled development tools. Provide technical leadership across Agile teams, define service architectures and integration patterns, improve system performance, reduce technical debt, establish engineering standards, mentor developers, and deliver secure cloud-based solutions supporting enterprise and regulatory needs.

Leads full-stack software engineering teams and a portfolio of technology projects focused on developer experience, distributed systems, microservices, and cloud-native platforms. Sets technical strategy, oversees large-scale system design and delivery, manages engineering leaders, develops talent and succession plans, and aligns roadmaps with enterprise goals. The role involves Java, Python, cloud platforms, databases, containers, APIs, Agile delivery, and emerging AI technologies.

Build and lead full-stack software engineering projects using distributed microservices, cloud platforms, APIs, databases, and modern development frameworks. Provide technical leadership across Agile teams, define architecture and integration patterns, mentor engineers, improve system performance, reduce technical debt, and establish engineering standards. The role requires collaboration with product managers and architects to deliver reliable cloud-based solutions and influence long-term technology strategy.

Lead diverse technology projects and development teams building distributed microservices and full-stack cloud solutions. Provide technical leadership across Agile teams, define service boundaries and integration patterns, mentor engineers, establish development standards, reduce technical debt, improve performance, and influence technology strategy. The role uses modern programming languages, databases, AWS services, containers, APIs, CI/CD, infrastructure as code, automated testing, and observability.

Leads multiple engineering domains for a regulated, high-throughput financial platform. Responsibilities include hands-on Java and cloud-native development, distributed systems architecture, Kafka event pipelines, AWS infrastructure, production reliability, automated testing, and cross-functional stakeholder communication. The role also establishes enterprise standards for agentic AI-enabled engineering, SDLC automation, governance, security, resiliency, and responsible AI adoption while managing large engineering teams and influencing senior leaders.

Leads software engineering efforts within an agile team, designing, developing, troubleshooting, reviewing, and delivering secure, scalable production software. Drives adoption of AI-assisted engineering practices, automation, continuous delivery, and responsible AI standards. Provides technical leadership across AWS, Kubernetes, Java, Spring Boot, and related platforms; improves application resiliency, resolves recurring issues, evaluates architectures and vendors, and promotes modern engineering practices across communities of practice.

Leads software engineering across design, development, troubleshooting, code review, automation, and production stability. Builds secure, scalable solutions using AWS, Kubernetes, Java, Spring Boot, and other programming languages. Drives responsible adoption of AI-assisted engineering tools, establishes validation standards, evaluates architectures and vendors, automates recurring remediation, and promotes engineering best practices through communities of practice.

Leads software engineering efforts across design, development, troubleshooting, code review, automation, cloud platforms, Kubernetes, and secure production delivery. Drives adoption of AI-assisted engineering practices with validation and responsible-use standards. Evaluates architectures and vendors, improves application resiliency and operational stability, promotes automation, and leads engineering communities of practice.

Leads software engineering initiatives across design, development, troubleshooting, code review, automation, and production stability. Builds secure, scalable solutions using AWS, Kubernetes, Java, Spring Boot, and related technologies. Promotes AI-assisted engineering practices with validation, security, and responsible-use standards. Evaluates architectural solutions, supports vendor assessments, drives adoption of modern tools, and leads software engineering communities of practice.

Leads backend software engineering for Asset and Wealth Management systems. Develops secure Java and Python services, designs AWS cloud-native architectures, builds Kafka-based distributed systems, and establishes CI/CD and testing practices. Provides technical guidance, reviews code, drives SDLC automation and responsible AI-assisted engineering adoption, and advises on governance, security, resiliency, and compliance in a regulated environment.

Lead the design, development, testing, and troubleshooting of secure, scalable Java full-stack and identity access management software. Create architecture artifacts, implement resilient systems, support production issues, and improve delivery through automation and AI-assisted engineering practices. Mentor team members in clean code, TDD, design, code review, and problem solving while incorporating monitoring, telemetry, security, alerts, and logging into software solutions.

Leads backend software engineering within an agile Asset and Wealth Management team. Develops and reviews secure Java or Python services, designs cloud-native AWS systems, and applies Kafka, distributed systems, CI/CD, and testing expertise. Guides technical teams, influences architecture and operations, and drives enterprise adoption of AI-assisted engineering practices. Establishes governance, quality controls, responsible AI standards, and automation across the software development lifecycle while advising stakeholders and senior leaders in a regulated environment.

Leads end-to-end technology solution delivery for commercial lending platforms, providing architecture guidance, hands-on design and coding, code reviews, technical strategy, roadmap development, and scrum team direction. The role partners with product, architecture, and technology leadership; drives platform stability, performance, automation, AI, and data engineering improvements; conducts proofs of concept; and delivers scalable enterprise solutions in an Agile environment.

Leads development of internet-scale applications across the software development lifecycle. Builds secure, high-quality Java applications using Spring frameworks, relational databases, and SQL; reviews and debugs code; and ensures operational stability. Drives responsible adoption and governance of AI-assisted engineering tools, establishes validation standards, and coaches engineering teams on secure usage. Collaborates with stakeholders in Agile environments and promotes automation, testing, reusable patterns, and continuous improvement.

Leads software engineering projects and manages developers building distributed microservices, full-stack systems, and cloud-based solutions. Collaborates with product managers, mentors engineers, evaluates and occasionally writes code, and drives technology modernization using Java, Python, AWS, databases, containers, and related technologies to address regulatory and customer needs.

Lead the design, development, testing, deployment, and operation of secure full-stack applications using frontend and backend technologies. Build scalable APIs and accessible user experiences, improve resiliency and performance, troubleshoot production issues, and guide code quality and architecture. Drive CI/CD, automation, observability, secure development, AI-assisted engineering practices, and technical initiatives across agile, cross-functional teams.

Designs, develops, tests, troubleshoots, and supports secure, scalable Java and React applications in an agile environment. Builds production code, contributes to architecture, analyzes data for system improvements, supports CI/CD and DevOps practices, and uses AI-assisted development tools responsibly. Preferred experience includes Kafka messaging and AWS cloud technologies.

Develops and supports secure, high-quality Java backend applications using Spring, Spring Boot, microservices, and REST APIs. Designs complex application architectures, troubleshoots technical issues, analyzes large datasets, and improves software quality, resiliency, and stability. Collaborates within agile software development practices, contributes to engineering communities, and applies authorized AI-assisted development tools responsibly. Preferred experience includes AWS, Kafka or MQ, and modern frontend technologies.

Leads enterprise full-stack software engineering for secure, scalable managed-account platforms. Owns application components across architecture, development, testing, deployment, observability, and production support. Designs distributed cloud-native systems using Java and modern frontend technologies, mentors engineers, improves CI/CD and test automation, and drives responsible adoption of AI-assisted development tools. Partners with cross-functional stakeholders to deliver high-impact initiatives in an agile environment.

Leads the design, development, deployment, and troubleshooting of secure, scalable Java and Python software systems. Builds Spring Boot microservices on AWS, applies distributed-systems and backend infrastructure patterns, and manages observability, testing, resiliency, and security. Uses Spark and SQL for large-scale data processing, guides responsible AI-assisted development, and defines guardrails for production AI agents. Mentors engineers, collaborates with architects and business stakeholders, and drives technical solutions across multiple corporate technology functions.

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 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.

Lead an agile software engineering team developing secure, scalable, high-quality technology products. Responsibilities include writing and reviewing Java and Spring code, guiding technical teams, shaping product and application design, supporting production systems, influencing engineering practices, and serving as a subject matter expert. The role requires experience with system design, testing, production support, XZBoost, model hosting, and low-latency, high-throughput systems, with preferred exposure to Big Data and agentic AI.

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.