Top Senior Software Engineer Jobs in Dallas, TX

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.

Lead engineer responsible for designing, building and operating scalable Big Data/ETL pipelines and production services on AWS. Drive automation (including LLMs/agents), SRE practices, security and data accountability, monitoring/alerting, incident management, and cross-team coordination. Champion AI-assisted engineering, remediate control/security findings, and improve reliability, performance, and operational efficiency.

Lead technical design and delivery of scalable backend microservices using Java and Spring Boot. Provide architectural guidance, mentor engineers, establish secure AI-assisted development workflows, drive cloud-native deployments on AWS/Azure, and ensure software quality through reviews, testing, and operational readiness. Influence cross-functional delivery and build reusable platform patterns that enable production AI/agent integrations and platform scalability.

Leads end-to-end development of secure, scalable customer-facing software using full-stack and cloud technologies. Designs systems, writes and reviews production code, improves reliability and performance, and guides technical decisions. Provides mentorship, code reviews, and coaching to engineers while promoting software development lifecycle practices, Terraform-based infrastructure, AWS cloud adoption, and responsible AI-assisted engineering. Collaborates with vendors and cross-functional teams to evaluate architectures and deliver resilient digital banking experiences.

Hands-on role integrating and flight-testing Hivemind autonomy across Group 1-3 aircraft. Responsibilities include bench and flight bring-up, debugging autonomy/flight controllers/radios, building test tools and automation in Python/C++, developing hardware interfaces, running SIL/HIL/VIL and live flight tests, analyzing data, and improving test infrastructure in collaboration with software, hardware, and flight teams.

Design, develop, and field high-performance Ground Control Station and C2 software using C++/Qt/QML and QGroundControl. Lead architecture and technical direction, mentor engineers, define APIs/ICDs, debug integration/latency issues, support field tests, implement post-mission debrief tools, and ensure interoperability with C2 standards.

Design and implement high-quality C/C++ embedded avionics software for X-Bat UAVs. Lead cross-functional teams, own features from design to production, integrate firmware and autonomy systems, and develop HIL/virtualized test environments. Produce architecture and test documentation, build CI/test tools, prototype concepts, and ensure reliability, safety, and compliance for aerospace deployments.

Design and build automated test capabilities for V-BAT: define and automate system-level test cases, implement interfaces/drivers for simulation and hardware, prototype and harden test solutions, and support release and flight test activities working with GNC and Embedded teams.

Develop and maintain Python-based software for automating hardware tests, integrate results with manufacturing systems, build scalable test infrastructure and CI/CD pipelines, create monitoring/visualization (e.g., Grafana), and collaborate with hardware, systems, and QA teams to ensure reliable aircraft component validation.

Lead systems engineering for Hivemind-based autonomy products: define and manage requirements, develop system architectures and trade studies, coordinate hardware/software interfaces, support integration/verification/validation and testing, and identify and mitigate technical risks across the system lifecycle.

Design and implement full‑stack, low‑latency web-based Ground Control Station and C2 systems (map-centric UIs, real-time telemetry, video streaming), lead architecture and APIs, mentor engineers, support field tests and mission deployments, and ensure interoperability with C2 standards.

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.

Design and build scalable software systems, backend APIs, platforms, integrations, and services. Collaborate with cross-functional teams, translate business needs into technical solutions, prototype and iterate rapidly, and make architecture decisions. Write tested code, participate in reviews, mentor teammates, communicate with stakeholders, and own delivery from start to finish while supporting client-focused consulting engagements.

Design, build, and deploy production-grade Java and Python applications with observability integrated throughout. Standardize telemetry using OpenTelemetry, leverage BigPanda and Google Cloud Observability, and develop AI/ML-enabled predictive and self-healing operations. Define SRE metrics, troubleshoot complex systems, lead automation initiatives, and provide technical guidance across engineering teams.

Designs and develops scalable web applications, APIs, and document lifecycle systems using Node.js and AWS. Builds secure solutions for document generation, signing, and vaulting while translating legal and business requirements into compliant technical implementations. Responsibilities include testing, continuous deployment, code reviews, system optimization, monitoring, troubleshooting, and mentoring engineers. Collaborates with product, engineering, and legal stakeholders to deliver reliable, high-availability document services.

Leads Android software engineering within an agile team, designing, developing, troubleshooting, and maintaining secure, scalable mobile applications. Provides technical leadership and mentoring, creates architecture and design artifacts, uses AI-assisted development tools responsibly, analyzes application data, maintains CI/CD pipelines, integrates REST services, and improves code quality, resiliency, performance, and security.

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.

Develop and test full-stack banking and credit card applications across web and mobile channels. Build Angular frontends and Spring Boot microservices, create automated and manual tests using BDD, Selenium, Appium, and Postman, and maintain Jenkins CI/CD pipelines. Validate ADA accessibility, manage testing artifacts and traceability, perform defect root-cause analysis, support production releases, and collaborate with distributed Agile teams. The role also provides technical leadership, process improvement, documentation, and mentoring.

Designs, builds, and supports cloud-native platform capabilities centered on Kubernetes and AKS. Responsibilities include developing container platforms, Helm charts, deployment automation, CI/CD pipelines, developer self-service tools, container security controls, reliability improvements, troubleshooting, and cloud-native standards. The role partners with application, security, and architecture teams to modernize enterprise software delivery and evaluates emerging technologies, including generative AI tools.

Leads native mobile and backend software development across analysis, design, coding, testing, implementation, and support. Translates user stories into secure, scalable financial applications, manages technical designs and automated testing, and oversees SDLC quality and compliance artifacts. Leads and mentors engineering teams, manages delivery risks, estimates work, coordinates distributed resources, and drives process improvements. Requires strong Android, backend, cloud, CI/CD, architecture, AI tooling, stakeholder management, and project delivery expertise.

Design, architect, and develop distributed backend systems and RESTful microservices using Java and Spring Boot. Integrate with AWS serverless services, build CI/CD pipelines, implement automated testing, mentor junior engineers, lead full software lifecycle, and optimize performance and security.

Design, build, and scale resilient, distributed underwriting systems; collaborate cross-functionally; implement APIs and cloud-native solutions; apply DevOps practices, container orchestration, and database technologies; drive architecture, automation, and AI-enabled underwriting improvements.

Designs, develops, and delivers scalable software across cloud-native and on-premises architectures. Responsibilities include building AI-enabled applications, leading complex features from technical design through completion, applying secure coding and privacy practices, and using AI-assisted development tools. The role also involves collaborating across teams, potentially mentoring engineers, and working with cloud platforms, Kubernetes, CI/CD, infrastructure as code, and network automation.

Develop and support scalable Python-based RESTful APIs and cloud infrastructure throughout the software development lifecycle. Responsibilities include system design, implementation, testing, deployment, security, database integration, microservices, CI/CD, containerization, message processing, documentation, and maintenance. The role collaborates with product, UX, architecture, and engineering teams in an Agile/Scrum environment while using AI-assisted development tools and following secure, maintainable coding practices.

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.