Top Senior Java Developer Jobs in Dallas, TX

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.

Leads design and delivery of secure Java and Spring Boot microservices on AWS. Responsibilities include architecture, API and data modeling, production performance and resilience, observability, testing, CI/CD, incident management, code reviews, mentoring, and technical standards. The role also leads responsible adoption of AI-assisted engineering tools, evaluates vendors and architectures, and promotes secure, compliant development 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.

Develops secure, scalable Java software solutions for JPMorganChase’s Merchant Services technology teams. Responsibilities include system design, microservices development, production coding, testing, troubleshooting, architecture documentation, data analysis, and operational stability. The role contributes to agile engineering practices, CI/CD, application resiliency, security, and responsible use of AI-assisted development tools.

Leads the design, development, testing, troubleshooting, and delivery of scalable Java software systems for Identity and Access Management. Produces architecture artifacts, applies secure coding and non-functional requirements, mentors engineers, and drives Agile delivery. Leads adoption of enterprise-approved AI-assisted development tools, establishing standards for validation, security, and responsible use. Collaborates with stakeholders, evaluates system dependencies, and implements continuous improvements across software delivery and automation practices.

Leads software design, development, troubleshooting, and architecture for complex applications. Builds secure production code using Java, Spring, REST APIs, Kafka, PostgreSQL, microservices, and cloud platforms. Drives responsible adoption of AI-assisted engineering tools, establishes validation and secure coding standards, coaches engineers, improves automation and architecture, and contributes to engineering communities and emerging technology initiatives.

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 development of secure, scalable software for a distributed multi-tenant platform, including APIs, data ingestion, pipelines, dashboards, and isolated AWS deployments. Designs and operates cloud-native Kubernetes workloads, promotes automation and AI-assisted engineering practices, and champions security, privacy, and supply-chain controls. Evaluates architectures, mentors teams, improves operational stability, and supports platform delivery across regulated environments.

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.

Lead and deliver secure, scalable Java-based microservice solutions; drive adoption and safe use of enterprise AI-assisted engineering tools; produce architecture and high-quality production code; improve CI/CD, data models, and system reliability while mentoring engineers and contributing to engineering communities.

Lead development of scalable, resilient Identity Access Management software. Produce architecture and design artifacts, write/unit-test code, integrate telemetry/security, drive AI-assisted engineering adoption, mentor engineers, collaborate with product teams, and improve delivery/automation.

Lead an agile team to design, build, and operate secure, scalable cloud-native Java microservices. Drive adoption and validation of enterprise-authorized AI-assisted engineering tools, improve automation and operational stability, evaluate vendor architectures, and mentor engineering communities while ensuring resilient, secure delivery.

Leads software engineering projects and developer teams building distributed microservices and cloud-based backend solutions. Collaborates with product managers, mentors engineers, evaluates code, and addresses regulatory and customer needs. Uses Java, Python, SQL, Node.js, Go, Scala, AWS, containerization, orchestration, relational databases, and NoSQL technologies while driving innovation and delivery across Capital One.

Lead hands-on engineer designing and modernizing cloud-native, reliable, and automated software solutions. Drive adoption of enterprise AI-assisted engineering practices, build automation frameworks, support performance and resiliency testing, lead code reviews, and communicate technical strategy and reliability standards across teams.

Leads end-to-end technology solution delivery for commercial lending products, including architecture, hands-on design and coding, code reviews, technical strategy, and roadmap development. Advises leadership, directs scrum teams, conducts technology proofs of concept, and guides development teams. Drives platform stability, performance, automation, AI and data engineering improvements while collaborating with architecture, product, program, and technology stakeholders in an Agile enterprise environment.

Lead design, development, troubleshooting, and deployment of automation for virtualized clusters and Kubernetes or OpenShift lifecycle operations. Build scalable server-side services, automate provisioning and compliance workflows, improve operational stability, and manage distributed systems using workflow orchestration. Promote responsible AI-assisted engineering practices, establish validation standards, document technical decisions, and mentor engineers through design and code reviews.

Leads development of secure, scalable Java backend applications within an agile banking technology team. Designs, codes, tests, troubleshoots, and reviews production software while improving automation, resilience, and operational stability. Evaluates architectures and technologies, promotes software engineering best practices, and coaches teams on AI-assisted development, responsible AI use, cloud-native technologies, continuous delivery, and secure engineering workflows.

Leads the design and development of Java-based test automation frameworks for UI, API, integration, backend, and end-to-end testing. Builds reusable automation components with Selenium, TestNG, and JUnit; validates databases using SQL and JDBC/JPA; integrates suites into CI/CD pipelines; and applies AI-driven testing, debugging, and optimization practices. Partners with engineering, product, and DevOps teams, contributes to architecture and code reviews, mentors quality engineers, and supports enterprise modernization in Agile environments.

Leads software engineering efforts within an agile banking technology team. Provides technical guidance, develops and reviews secure production code, drives AI-assisted engineering practices, influences application design and technical operations, and supports system design, testing, troubleshooting, and production systems. Requires strong Java and Spring Boot skills, clean coding and design-pattern expertise, full software lifecycle experience, and experience with low-latency, high-throughput systems.

Leads end-to-end development and maintenance of complex Java and Spring Boot applications. Responsibilities include requirements gathering, technical design, coding, code reviews, testing, deployment, monitoring, troubleshooting, technology evaluation, and change management. The role provides technical guidance, mentors team members, coordinates support, influences cross-functional decisions, and may lead multiple small-to-medium projects.

Develop and maintain scalable Java-based cloud software using microservices, event-driven architecture, and clean coding practices. Design features, translate requirements into user stories, troubleshoot complex enterprise applications, and support deployment and operations. Collaborate with global engineering teams, apply information security practices, participate in Agile ceremonies, and coach other engineers. The role focuses on Azure cloud infrastructure and application deployment, with technologies including Kubernetes, Kafka, Elasticsearch, Snowflake, and Spring Boot.

Lead and deliver cloud-native, microservices-based applications using Java and related technologies. Drive adoption of enterprise AI-assisted engineering practices, design scalable secure solutions, write and review production code, automate recurring issues, mentor teams, and promote modern engineering patterns and resiliency across the organization.