Software Engineer Jobs in Plano, 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.

Design, develop, and maintain secure, production-grade Python full‑stack applications. Produce architecture and design artifacts, troubleshoot complex systems, build data visualizations, improve code quality and resiliency, deploy containerized apps using Docker/Kubernetes on AWS EKS, and leverage AI-assisted developer tools and GenAI fundamentals for productivity.

Design, build, and deploy AI/ML-driven software solutions and data pipelines for LLM/NLP use cases. Implement secure, production-grade code, integrate models via APIs, employ AI-assisted dev tools, and produce architecture, visualizations, and resilient CI/CD-enabled systems while improving code quality and automation.

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.

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.

Design, build, and maintain infrastructure and application components for stable, secure, cloud-native systems. Develop Java/Spring Boot services, use AWS/Azure and Kubernetes, support deployments/configuration, analyze large datasets, and apply enterprise AI-assisted development tools while ensuring secure, production-ready code.

Designs, develops, debugs, and delivers secure, scalable software solutions using Python and PySpark. Produces architecture artifacts, analyzes large datasets for insights, ensures application resiliency and CI/CD practices, and contributes to engineering communities and system improvements.

Design, deploy, and operate Microsoft Power Platform (Power Automate, Power Apps) and Pega solutions; ensure high availability, performance, monitoring, and incident response; implement CI/CD, capacity planning, and AI/Copilot-enabled automation; collaborate with stakeholders to drive continuous improvement and secure, reliable platform operations.

Designs, develops, and troubleshoots secure, scalable native Android mobile applications using Kotlin. Leads architecture, builds production code, mentors engineers, leverages AI-assisted coding tools, maintains CI/CD pipelines, and improves systems through data-driven insights within Agile teams.

Lead technical delivery of cloud-native, microservices-based applications. Design, develop, and maintain secure, scalable systems; drive adoption of AI-assisted engineering practices, CI/CD, automation, and resilient architectures. Mentor engineers, lead code quality and operational stability efforts, and collaborate with stakeholders to deliver production-ready solutions.

Lead a team and portfolio building cloud-native, full-stack microservices and solutions. Mentor engineers, collaborate with product, and deliver secure, scalable AWS/GCP/Azure services using containers, RDBMS/NoSQL, and modern languages/frameworks.

Lead a team building cloud-based, full-stack microservices solutions; mentor engineers, collaborate with product managers, and deliver scalable AWS-based systems using JavaScript, Java, TypeScript, Python, Go, RDBMS/NoSQL, Docker/Kubernetes.

Lead Software Engineers will manage diverse technology projects, mentor teams, collaborate with product managers, and deliver cloud solutions, utilizing various programming languages and AWS tools.

Lead a portfolio of technology projects and a team of developers to build cloud-based, full-stack solutions using microservices. Mentor engineers, collaborate with product managers, and occasionally code or review code. Drive regulatory-focused solutions using cloud, containers, databases, and modern programming languages.

Lead a team to design and deliver cloud-based, full-stack solutions using distributed microservices. Mentor engineers, collaborate with product managers, drive technical direction, and implement technologies like Java, Angular, Spring, containers, and AWS to meet regulatory and customer needs.

Lead a team building distributed microservices and full-stack cloud solutions (Java, Go, Python, JS/TypeScript) on AWS. Mentor engineers, collaborate with product managers, drive regulatory-related technical projects, and apply containerization (Docker, Kubernetes) and both RDBMS and NoSQL databases to deliver scalable customer experiences.

Lead software and ML engineering for scalable, secure production systems. Author and review code, drive AI-assisted engineering practices, design ML pipelines and deployment/monitoring, automate remediation, evaluate vendors, and mentor teams on responsible AI and MLOps.

Design, build, and integrate cloud-hosted full-stack solutions using Java, Spring, Kubernetes, AWS and TypeScript. Define system and product standards, implement CI/CD and observability, champion security and engineering excellence, collaborate with cross-functional teams, and create runbooks and playbooks to support scalable, secure microservice architectures.

Lead a team of developers delivering cloud-based Salesforce and full-stack solutions. Drive a portfolio of distributed microservices projects, mentor engineers, collaborate with product managers, and implement integrations using Apex, Lightning, web technologies, SOQL, and REST/SOAP APIs. Participate in architecture, code evaluation, and technology community engagement.

As a Distinguished Engineer in Cybersecurity at Capital One, you will lead cloud banking innovations, mentor engineers, and architect secure identity management solutions.

Lead design and build agentic AI systems and production services, author secure high-quality code, create architecture artifacts, improve observability and testing, drive AI-assisted engineering adoption, and ensure privacy/security/compliance across end-to-end solutions.

Lead backend engineering efforts to design and deliver cloud-based, microservices solutions. Mentor engineers, drive technical direction, collaborate with product teams, and use Java/Python/Go/Scala, container orchestration, databases, and AWS services to meet regulatory and customer needs.

Lead a team and portfolio building full‑stack, distributed microservices and cloud solutions. Mentor engineers, collaborate with product managers, drive robust AWS/GCP/Azure-based systems, and apply modern DevOps, container orchestration, databases, and interactive AI tooling to solve regulatory and customer problems.

Lead full‑stack engineering portfolio and team to build cloud-based, microservices-driven solutions. Collaborate with product, mentor engineers, adopt emerging tech, and deliver scalable systems using containers, cloud services, databases, and telephony/IVR where required.

Lead a portfolio of cloud-native full‑stack and SRE projects, mentor engineers, collaborate with product managers, and deliver resilient AWS/GCP/Azure services using Java, Python, containers, orchestration, and observability tooling.