Software Engineer Jobs in Richardson, TX

Design, build, and maintain scalable data pipelines and applications on AWS and Databricks. Develop production-quality Python code, process large datasets with Spark, implement IaC CI/CD with Terraform, and apply AI-assisted development responsibly. Troubleshoot data workflows, create architecture artifacts, and contribute to engineering best practices and team collaboration.

Lead and grow multiple product-focused software engineering teams building cloud-native, ultra-low-latency, highly resilient payment systems. Drive architecture, microservices decomposition, AWS deployments, engineering practices, cross-team collaboration, mentorship, and adoption of cutting-edge AI tooling to accelerate development and improve system availability and scalability.

Design, develop, and maintain enterprise software and ETL/data warehousing solutions. Participate in planning and design reviews, implement secure architectures, develop application modules and scripts, support testing and production triage, and collaborate with cross-functional teams using Agile and DevOps practices.

Design, develop, and implement enterprise software across the SDLC. Build microservices, design data models, optimize performance, troubleshoot code, participate in code and design reviews, and collaborate with project managers and analysts to translate business requirements into solutions.

Design, implement, test, and maintain server-side components and web applications. Build backend n-tier and microservice architectures, design workflows and business processes, implement cloud-native solutions using AWS and IaC, create CI/CD pipelines, perform unit and automated testing, troubleshoot issues, and support deployment and monitoring in production.

Design, build, and maintain secure cloud-based frameworks to host and deploy ML models using Python and AWS. Collaborate with data scientists and platform teams to productionize models, apply MLOps/LLMOps practices, use AI-assisted development tools, ensure CI/CD, resiliency, and operational stability, and contribute to engineering communities and architecture/design artifacts.

Design, implement, and operate complex Java/Spring backend services and user-facing features in a microservices, event-driven environment. Ensure production readiness, observability, security, and resilient architectures; author design proposals; participate in code reviews, pair programming, CI/CD, and AI-assisted development workflows.

Designs, develops, debugs, and deploys secure, production-quality software and data pipelines. Builds scalable ETL and real-time systems, manages databases, creates enterprise REST APIs, automates infrastructure, evaluates vendor solutions, and leads engineering best-practice communities.

Participate in a two-day social-impact hackathon building tech solutions for nonprofits. Develop, test, and troubleshoot software; write secure code; collaborate with engineers and stakeholders; use automation and approved AI development tools responsibly; attend training and mentorship; and potentially be considered for a 2027 Software Engineer Program Summer Internship.

Develop and demonstrate innovations in memory and storage systems through software development, performance analysis, and collaboration with cross-functional teams. Responsibilities include porting applications, defining experiments, and debugging system-level issues.

Designs, develops, and troubleshoots secure, high-quality production code; builds Web UI and API test automation; uses enterprise AI-assisted tools; produces architecture artifacts; improves code quality via data-driven insights; supports CI/CD, resiliency, and security in agile teams.

Lead technical vision and reusable solutions across cloud-native banking systems. Drive architecture, performance, scalability, mentoring, cross-team influence, and deliver high-quality implementations and thought leadership.

Lead technical vision and modernize Capital Ones CI/CD One Pipeline, design and implement build/deploy platforms, ensure performance and operability, decompose complex problems, create knowledge artifacts, mentor engineers, and drive cross-organizational engineering excellence.

Design, architect, and implement large-scale, cloud-native web applications and backend services. Integrate AI/ML and LLMs into CI/CD, build CLI tools and automated build systems, optimize databases and caching, implement real-time streaming, secure APIs, ensure observability, and provide on-call incident management for production systems.

Lead the transition to a JIT identity model, designing systems for automated access elevation and revocation based on real-time context. Advocate for policy-based models and ensure governance in a regulated environment, while mentoring engineers and setting a bold technical vision.

As a Distinguished Engineer, you will lead technical innovations, mentor talent, and provide expert solutions in software engineering and public cloud technologies.

Design, develop, test, and deploy enterprise-level, scalable web applications across the full SDLC. Build responsive UIs, microservices/REST APIs, automation and CI/CD pipelines, containerized deployments, integrations with databases and cloud services, and ensure quality via code reviews and automated testing.

Join a hybrid engineering team to design and build cloud-native, API-driven services. Collaborate with product owners and engineers to modernize platforms using REST, microservices, and CI/CD, focusing on quality, scalability, and customer-centric solutions.

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.

Designs, develops, and troubleshoots secure, scalable production software for payments. Builds automation, scripts, and operational tooling; manages deployments and CI/CD; administers Tomcat/Apache stacks; improves monitoring/observability and batch scheduling; leverages enterprise AI-assisted coding tools while ensuring secure, validated outputs and operational stability.

Design, develop, and troubleshoot secure, scalable React and Python applications. Use enterprise-authorized AI-assisted development tools responsibly to improve code quality. Produce architecture artifacts, build automation tests, analyze data for improvements, contribute to engineering communities, and support CI/CD, resiliency, and security practices.

Design, develop, and maintain secure, production-quality software and AWS Data Lake solutions. Build infrastructure as code (Terraform), write Python/Java code, apply CI/CD and secure SDLC practices, analyze large data sets, and use enterprise AI-assisted coding tools while ensuring code quality, resiliency, and security.

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.