Top 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.

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.

Principal Software Engineer designing and delivering full-stack, cloud-native solutions across React, Node.js, TypeScript, and Java. The role leads Micro Frontend strategy, AI-driven workflow development, distributed systems architecture, data quality, security, testing, observability, and reliability initiatives. Responsibilities include solving complex technical problems, collaborating cross-functionally, establishing engineering best practices, mentoring engineers, and driving scalable, resilient software delivery in an agile environment.

Develop and architect large-scale Angular applications using TypeScript and RxJS. Own features through production, translate Figma or Adobe XD designs into accessible, high-performance interfaces, and build generative-AI dashboards and data visualizations. Establish modular architecture, state-management, performance, and accessibility standards; mentor engineers; and collaborate with product and cross-functional teams on technical roadmaps and architectural decisions.

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 teams and projects to design, build, and operate scalable, highly available payment systems. Mentor engineers, collaborate with product managers, deliver cloud-native full‑stack solutions using microservices, containers, databases, and AWS/Azure/GCP technologies, and occasionally write or review code.

Lead a team and portfolio to design and deliver distributed microservices and full-stack cloud solutions addressing regulatory needs. Mentor engineers, collaborate with product managers, experiment with emerging tech, and use languages and tools such as JavaScript, Java, TypeScript, Python, Go, SQL, Docker, Kubernetes, and AWS/Azure/GCP.

Lead and mentor a team building cloud-based full‑stack microservices solutions. Design and deliver robust, scalable systems using modern languages, containers, orchestration, and cloud services to meet regulatory and product needs.

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.

Leads software engineering within an Identity and Access Management team, designing, developing, testing, debugging, and operating secure, scalable applications and APIs. Drives adoption of AI-assisted engineering practices with appropriate validation, improves automation and application stability, evaluates architectural solutions, and promotes modern technologies through technical leadership and communities of practice. Requires expertise in software development, cloud-native systems, AWS, infrastructure as code, REST APIs, CI/CD, automated testing, and Agile delivery.

Architects, configures, and develops Guidewire PolicyCenter and InsuranceSuite solutions, including integrations with external systems through APIs, messaging, and batch processing. Leads technical design, coding, testing, documentation, standards, troubleshooting, and platform modernization within Agile teams. Partners with architects, stakeholders, DevOps, and engineering teams on cloud deployment, CI/CD, observability, security, event-driven architecture, and scalable software delivery.

Lead DevOps engineering initiatives focused on cloud-native infrastructure, automation, observability, resiliency, and high availability. Responsibilities include leading technology projects and developers, delivering AWS-based solutions, managing Docker and Kubernetes environments, using infrastructure-as-code and configuration management tools, triaging incidents, mentoring engineers, and applying modern technologies to solve complex platform and regulatory challenges.

Leads software engineering projects and developers building cloud-based backend solutions with distributed microservices and full-stack systems. Collaborates with product managers, mentors engineers, evaluates code, adopts emerging technologies, and delivers solutions supporting regulatory needs and customer experiences. Uses languages including Java, Python, SQL, Node.js, Go, and Scala, along with AWS, databases, Docker, and Kubernetes.

Lead system-wide software architecture for an advanced airborne program spanning vehicle, ground station, and autonomy domains. Translate safety and security goals into technical requirements, drive cross-team API/data/fault-handling alignment, produce architecture artifacts, set governance and technical direction, mentor senior engineers, and support verification, compliance, and readiness evaluations for high-assurance, cyber-hardened airborne software.

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 and execute test strategies for flight-critical XBat software and systems. Develop test plans/procedures, run V&V and regression tests, analyze test data, troubleshoot issues, and collaborate with engineering, manufacturing, and program teams to ensure performance, reliability, and mission readiness.

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 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.

Lead design and prototyping of generative AI experiences for autonomy development; drive UX for Hivemind products; perform user research, collaborate with CTO and product leads, and deliver reference implementations and integrations across full-stack web and edge systems.

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.