Top Software Engineer Jobs in Dallas, TX

Design, develop, and troubleshoot React/Python applications; produce secure, high-quality production code; use AI-assisted development tools responsibly; create architecture artifacts; build tests and visualizations; improve system resiliency and coding hygiene; contribute to engineering communities.

Leads software engineering and AI/ML delivery for large-scale risk technology systems. Designs complex architectures, develops secure production code, optimizes Spark clusters and data pipelines, and applies Python, PySpark, SQL, AWS, and Databricks. Establishes AI-assisted engineering governance, improves software quality and automation, analyzes large datasets, and leads technologists in delivering resilient, scalable applications.

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.

Lead development of Python-based automation for provisioning, configuring, and managing load balancer infrastructure. Build REST API integrations, reusable Ansible frameworks, and scalable workflows that reduce operational effort and improve reliability. Collaborate with network and platform engineering teams, automate deployments and customer journeys, troubleshoot infrastructure workflows, and support legacy and cloud-native platforms in an enterprise environment.

Develop full-stack, data-centric applications using Python, TypeScript, React, AWS, APIs, data pipelines, and GenAI capabilities. Responsibilities include designing technical solutions, provisioning data for AI workflows, building ingestion and analytics systems, automating testing, supporting applications throughout their lifecycle, reducing technical debt, and collaborating with data scientists, product managers, and stakeholders in an agile environment.

Leads software engineering efforts within an agile enterprise technology team. Provides technical direction, develops and reviews secure production code, drives AI-assisted engineering practices, improves automation and SDLC processes, and influences application design and operations. Acts as a subject matter expert, mentors engineers, promotes engineering standards, troubleshoots complex issues, and improves system stability through automation and recurring-issue remediation.

Leads development of secure, scalable mobile applications for iOS and Android. Responsibilities include writing and reviewing production code, designing complex front-end solutions, integrating native device capabilities, optimizing performance, implementing automated testing, collaborating with UX teams, and supporting SRE practices. The role also involves advising stakeholders on technology adoption, using AI-assisted development tools responsibly, and following Agile and continuous delivery practices.

Architects and develops Guidewire PolicyCenter solutions, integrations, configurations, and Gosu applications. Leads technical design, cloud deployment, API and event-driven architecture, CI/CD, observability, testing, troubleshooting, and platform modernization. Collaborates with architects, stakeholders, DevOps, and engineering teams to establish technical standards, document solutions, and deliver scalable insurance technology solutions using Guidewire Cloud Platform and modern cloud-native 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 software engineering for Connected Commerce, designing, developing, testing, and operating secure Java applications in AWS. Provides technical direction, reviews code, drives AI-assisted engineering practices, and influences product and platform decisions. Requires expertise in ECS, EKS, PostgreSQL, AWS automation, cloud-native development, multi-region deployments, zero-downtime releases, observability dashboards, and responsible AI usage. Coaches engineers and contributes to enterprise engineering standards and practices.

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.

Leads DevOps and network automation initiatives, designs multi-cloud connectivity solutions, and develops cloud-based infrastructure using AWS, GCP, Kubernetes, Terraform, Ansible, and CI/CD tools. Responsibilities include mentoring engineers, collaborating with product and Agile teams, implementing full-stack technical solutions, supporting cloud and network infrastructure, monitoring systems, meeting regulatory needs, and participating in an on-call rotation.

Design, build, and support full-stack solutions for customer acquisition and account origination, including Java/Spring Boot services, REST APIs, microservices, and React or Angular interfaces. Improve reliability, performance, CI/CD, testing, observability, and secure development practices. Collaborate with Product, Design, and Data teams in Agile delivery, participate in architecture and code reviews, troubleshoot production issues, mentor engineers, and apply enterprise-authorized AI development tools responsibly.

Leads delivery of scalable software features and AI/ML-enabled solutions across the full software development lifecycle. Responsibilities include coding, testing, CI/CD, observability, performance monitoring, requirements analysis, stakeholder collaboration, technical mentoring, and continuous improvement. The role is fully onsite in Dallas and focuses on reliable software delivery, automated testing, generative AI integration, and engineering excellence.

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, develop, and maintain ground control and mission-planning software for the X-BAT platform. Build full-stack, low-latency, fault-tolerant systems for telemetry fusion, operator UIs (React/TypeScript), communication interfaces, and integrations with autonomy and flight teams. Lead feature development, write well-tested code, and collaborate across embedded, UX, and flight-test teams to deliver field-ready solutions.

Develop and test autonomy behaviors for unmanned systems using production C++. Implement features for behavior, coordination, motion planning, and survivability. Participate in full software lifecycle, integrate with sensors/actuators, support simulation and real-world testing, collaborate cross-functionally, and travel up to 20% to support integration and testing. Must be eligible for a U.S. Secret clearance.

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.

Develop and deploy robotics software for warehouse automation, spanning perception, object detection, planning, manipulation, navigation, and hardware integration. Own features from ideation through testing and deployment, optimize system performance, conduct end-to-end debugging, analyze production data, and collaborate with multidisciplinary engineering teams. The role also involves simulation, documentation, safety compliance, and occasional domestic customer-site travel.

Supports software development, debugging, and integrated testing of robotic warehouse automation systems. Operates robots during test runs, analyzes logs and sensor data, documents issues, performs preliminary root-cause analysis, maintains test cases and technical documentation, and follows warehouse safety protocols. The role offers hands-on exposure to object detection, action planning, manipulation, navigation, and industrial automation, with opportunities to advance into full software development.

Design, develop, and modernize enterprise-scale applications, RESTful APIs, microservices, and distributed systems. Build cloud-neutral solutions across AWS and Azure, support legacy application migrations, participate in architecture and code reviews, troubleshoot production issues, document technical designs, and mentor engineers. The role emphasizes scalable, secure, high-performance backend systems, technical leadership, and engineering best practices.

Design, develop, and maintain high-performance, reliable mobile and web applications (iOS, Android, web). Collaborate on feature design, write clean code, resolve issues, participate in Agile ceremonies, and continuously learn new technologies.

Develop and maintain scalable React-based web applications, reusable component libraries, and design systems. Translate Figma designs into accessible, responsive interfaces; optimize performance; integrate Java and Spring Boot microservices through secure REST APIs; and use automated testing, CI/CD, and AI-assisted development tools. Collaborate with UX, product, and engineering teams, participate in reviews, mentor developers, and support secure, compliant, customer-focused software delivery.

Leads architecture, development, porting, testing, deployment, and maintenance of Linux-based smart TV operating system software. Develops OS features across audio, video, USB, HDMI, hardware abstraction, peripherals, and application stacks. Oversees hardware automation testing, sustenance engineering, defect resolution, and feature delivery while collaborating across teams. Uses C++, Java, JavaScript, Python, CI/CD, automated testing, and AI/ML technologies to build scalable and maintainable systems.

Lead development of scalable software for next-generation smart TV platforms. Responsibilities include architecting and porting Linux-based TV OS features, integrating hardware and applications through HAL layers, developing audio, video, USB, and HDMI capabilities, supporting application features, implementing hardware automation testing, and maintaining existing software. The role also involves debugging, code reviews, CI/CD, DevOps practices, AI/ML integration, performance improvements, and cross-functional collaboration.