Top Senior Software Engineer Jobs in Dallas, TX

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, and delivery of scalable, secure, cloud-native applications for Wells Fargo’s credit card platform. Responsibilities include Java and Spring-based full-stack development, microservices, database integration, streaming, architecture evaluation, engineering standards, AI-assisted development, technical leadership, mentoring, and collaboration with architects, product owners, and business stakeholders. The role also supports modernization, reliability, observability, secure SDLC practices, and DevOps automation.

Leads enterprise governance platform engineering across multiple product lines, including scalable software solutions, AI-powered governance capabilities, agentic workflows, automation, knowledge graphs, and semantic platforms. Provides technical authority for architecture, software lifecycle execution, troubleshooting, security adaptability, release management, and coaching. Drives complex problem solving, workflow optimization, and production-ready cloud-native platform development.

Lead design, development, integration, and validation of complex ground-system software. Define software architecture, derive and trace software requirements, participate in system reviews, collaborate with hardware/network/test teams, and support customer-facing technical deliverables.

Develop and optimize real-time Ground Control Station software for UAVs, building high-performance client/server systems, React/TypeScript UIs, telemetry processing, mission planning, and low-latency control. Collaborate across autonomy, embedded, backend, and UX teams, contribute to architecture, lead feature development, and produce well-tested, deployable software.

Design and develop REST APIs and integrations (OneSpan, Kafka) using Java/Python; build Docker/OpenShift deployments; create message flows with ESQL/IIB; use Apigee for authentication; maintain repositories and CI/CD (Jenkins/Udeploy); lead and mentor developers; produce technical design documents and collaborate with QE to test and remediate defects.

Design, develop, and maintain secure, production-grade full‑stack applications and microservices using React, Java/Node.js/Python and AWS. Integrate SaaS platforms (e.g., Monday.com), implement CI/CD, observability and AI‑assisted workflows, troubleshoot production issues, and ensure alignment with enterprise standards for security, resiliency, and scalability.

Lead mobile automation testing for browser and native apps using mobile cloud platforms and emulators. Develop and execute test scenarios across phases, implement CI/CD with Jenkins, perform API testing with JMeter, ensure accessibility compliance, and manage test automation teams in client-server environments.

Lead design and execution of mobile web and native app test automation across testing phases. Use mobile cloud platforms and emulators, implement CI/CD with Jenkins, perform API testing with JMeter, ensure accessibility compliance, and manage test teams and test scenarios throughout the application lifecycle.

Leads software engineering projects and developers building distributed microservices and full-stack cloud solutions. Collaborates with product managers, mentors engineers, evaluates emerging technologies, and delivers robust systems supporting regulatory needs and customer experiences. The role uses Python, JavaScript, Java, TypeScript, SQL, Go, AWS, databases, Docker, and Kubernetes.

Develop and maintain scalable big data and cloud solutions using Scala, Python, Spark, Azure, and AI/ML technologies. Design analytics rules engines, APIs, distributed systems, and machine learning prototypes; evaluate tools and frameworks; analyze requirements; contribute to architecture and estimates; perform code reviews, documentation, testing, and production support; and collaborate across engineering, QA, architecture, and management teams.

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.

Lead software engineering work for secure, scalable digital banking systems. Responsibilities include designing and developing Java applications, reviewing code, troubleshooting, improving operational stability, evaluating architectures, mentoring engineering communities, and driving adoption of cloud-native, automation, and AI-assisted development practices. The role requires expertise in Java, Spring, AWS, Kubernetes, Kafka, databases, CI/CD, SDLC, application resiliency, security, and responsible AI use.

Lead software engineering design, development, testing, troubleshooting, and operational stability for secure, scalable Java backend systems. Review code, automate remediation, evaluate architectures, promote modern technologies, and guide adoption of cloud-native and AI-assisted engineering practices. Coach teams on responsible AI use, security, resiliency, continuous delivery, and software quality while collaborating with vendors and internal stakeholders.

Leads software engineering efforts for secure, scalable Java backend applications. Designs, develops, tests, troubleshoots, and reviews production code; improves operational stability through automation; evaluates architectures and vendors; promotes modern engineering practices and AI-assisted development. Coaches teams on responsible AI use, cloud-native technologies, continuous delivery, resiliency, security, and agile software development.

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.

Designs, builds, deploys, and operates full-stack cloud-native applications across user interfaces, APIs, data platforms, infrastructure, and CI/CD. Owns technical vision for business capabilities, translates requirements into solutions, supports production systems, and participates in incident response and on-call rotations. The role also establishes observability, secure engineering, automated testing, DevSecOps, documentation, and AI-assisted development practices while mentoring engineers and providing technical leadership.

Design, develop, test, deploy, and maintain Java Spring Boot microservices and REST APIs. Improve application observability using Dynatrace and Elastic Stack, implement authentication/authorization (OAuth2/JWT), support CI/CD pipelines, troubleshoot production/performance issues, produce technical documentation, and lead/influence engineering teams.

Leads development of secure, scalable native mobile applications within an agile engineering team. Responsibilities include designing and reviewing production code, troubleshooting technical issues, mentoring engineers, applying AI-assisted development practices responsibly, improving automation and application resiliency, maintaining CI/CD pipelines, and evaluating vendor and architectural solutions. The role emphasizes Android development with Kotlin alongside knowledge of iOS technologies, mobile architectures, testing frameworks, REST services, and secure software engineering.

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 architecture, development, and operation of scalable batch and streaming data pipelines on Databricks and Apache Spark. Owns Lakehouse design, cluster configuration, performance tuning, data quality, governance, CI/CD, infrastructure automation, and reusable Python or Java frameworks. Champions secure engineering practices, responsible AI-assisted development, testing, observability, and technical mentorship.

Leads full-stack software engineering within an agile finance technology team. Develops, reviews, debugs, and governs secure production code; drives AI-assisted engineering, automation, monitoring, and operational stability. Provides technical guidance, coaches engineers, evaluates vendor architectures, collaborates with product teams, manages delivery risks, and leads engineering communities of practice. Requires extensive enterprise software development experience across Java, Spring, JavaScript, React, testing, CI/CD, security, event-driven systems, and observability technologies.

Leads development of secure, scalable, cloud-native microservices and full-stack applications. Designs resilient architectures, writes and reviews production code, troubleshoots issues, and improves operational stability. Drives automation, continuous delivery, AI-assisted engineering practices, responsible AI usage, and software development standards. Mentors engineers, leads communities of practice, adopts modern technologies, and delivers reliable solutions across distributed systems, APIs, databases, and web technologies.

Design, implement, and maintain enterprise CI/CD pipelines, deployment automation, IaC, containerized platforms (Docker/K8s/OpenShift), release engineering, observability, DevSecOps integration, production support, runbooks, and platform standards to enable secure, reliable software delivery.