Software Engineer Jobs in Plano, TX

Architects and develops systems software for emerging memory and storage technologies, with emphasis on AI inference stacks and heterogeneous computing. Responsibilities include Linux application and library development, emulator creation, system-level debugging, accelerator programming, performance evaluation, technical leadership, cross-functional collaboration, mentoring, and presenting technical findings. The role requires expertise across AI frameworks, inference engines, operating systems, kernels, hardware interfaces, memory hierarchies, and distributed serving systems.

Develop and test integration services, automated recompilation tools, data-mapping scripts, microservices, and software automation. Recompile legacy code into Java, create Helm Charts for Kubernetes deployments, execute integration test cases, and collaborate in an Agile environment. The intern will also support data security, privacy, compliance, and operational processes.

Develop secure, scalable software using React and Python within an agile banking technology team. Responsibilities include system design, application development, testing, troubleshooting, data analysis, architecture documentation, operational stability, and CI/CD practices. The role also requires responsible use and validation of enterprise AI-assisted coding tools, participation in engineering communities, and mentoring peers on secure AI-enabled development workflows.

Develop and maintain secure, scalable software solutions using React and Python in an agile enterprise environment. Responsibilities include system design, production coding, troubleshooting, architecture documentation, automated testing, data analysis, and operational stability. The role also requires responsible use of AI-assisted development tools, secure coding practices, peer validation of AI-generated outputs, and contributions to engineering communities and team culture.

Develop and maintain embedded software for the F-22 Operational Flight Program and associated test systems. Responsibilities include requirements analysis, software design, development, integration, testing, debugging, documentation, architecture, process improvement, and stakeholder support. Engineers work within agile teams, support real-time systems and simulations, manage software research activities, and contribute to project and supplier performance. The role requires an active Secret clearance, ability to obtain F-22 SAP clearance, and occasional travel under 10%.

Designs, develops, tests, troubleshoots, and maintains secure, scalable Java and React software systems. Contributes to architecture, production code quality, data analysis, application resiliency, CI/CD, and operational stability within an agile team. Uses enterprise-authorized AI-assisted development tools for coding, testing, troubleshooting, and documentation while validating outputs for correctness, performance, and security. Participates in engineering communities and supports continuous improvement in a large corporate environment.

Design, develop, and maintain scalable full-stack applications using Java or Python. Build cloud-based data pipelines and analytics solutions with Databricks and Apache Spark. Collaborate with cross-functional teams to deliver reliable, high-performance software, evaluate emerging technologies, and explore AI-assisted and Agentic AI development capabilities.

Develops secure, scalable software solutions using Java, Python, AWS, Terraform, and Kafka. Designs complex applications, creates architecture artifacts, delivers end-to-end systems, and ensures testing and operational stability. Leads responsible adoption of AI-assisted development tools, validates AI outputs, improves automation and CI/CD practices, and analyzes data to enhance code quality and system architecture. Collaborates within agile teams supporting corporate technology functions.

Develop and modernize scalable batch and real-time data pipelines and feature engineering solutions on Databricks. Build feature store capabilities, migrate legacy Spark and EMR workloads, implement cloud-native AWS solutions, and apply testing, CI/CD, observability, governance, security, and data-quality controls. Collaborate with data scientists and stakeholders, contribute to architecture decisions, support production systems, and mentor junior engineers.

Develops secure, scalable software and data solutions using Python, PySpark, AWS, and Databricks. Designs applications, writes production code, troubleshoots systems, creates architecture artifacts, and analyzes large datasets. Builds and optimizes Spark clusters, validates data quality with SQL, deploys machine learning models, and applies responsible AI-assisted development practices. Collaborates within agile teams to improve application resiliency, security, automation, and operational stability.

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.

Design, develop, and operate a production agentic data platform using Spark, Kafka, Airflow, Snowflake and AWS. Write secure high-quality code across frontend and backend, leverage enterprise AI-assisted development and LLMs (Claude Code, agents, RAG, embeddings), build autonomous agents and MCP server components, apply secure/responsible AI practices, troubleshoot systems, and own full-stack application/platform delivery with CI/CD, containers, and observability.

Develops secure, scalable Java software solutions for JPMorganChase’s Merchant Services technology teams. Responsibilities include system design, microservices development, production coding, testing, troubleshooting, architecture documentation, data analysis, and operational stability. The role contributes to agile engineering practices, CI/CD, application resiliency, security, and responsible use of AI-assisted development tools.

Provides production support, observability, governance, and operational excellence for platform environments. Designs operating models, controls, dashboards, and production metrics; supports audits, incident management, root cause analysis, and release governance. Coordinates cross-functional stakeholders, drives decisions, and improves reliability using AWS, monitoring tools, Kubernetes, CI/CD, and infrastructure technologies.

Designs, develops, tests, troubleshoots, and maintains secure, scalable software solutions for corporate technology platforms. Creates architecture and design artifacts, analyzes data to improve applications and system architecture, and ensures production stability. Uses enterprise-authorized AI-assisted development tools for coding, testing, troubleshooting, and documentation while validating outputs for correctness, performance, security, and responsible data handling. Collaborates within an agile team and applies SDLC, CI/CD, resiliency, and security practices.

Develop and maintain scalable backend data engineering solutions using Python, PySpark, and Databricks. Build, deploy, and support reliable data pipelines and platform modules for financial reporting and analytics. Design software architectures, troubleshoot complex systems, analyze financial data, participate in code reviews, and collaborate with product managers, architects, and engineering teams. Apply secure coding, agile development, CI/CD, resiliency, responsible AI-assisted development, and enterprise data governance practices.

Leads multiple engineering domains for a regulated, high-throughput financial platform. Responsibilities include hands-on Java and cloud-native development, distributed systems architecture, Kafka event pipelines, AWS infrastructure, production reliability, automated testing, and cross-functional stakeholder communication. The role also establishes enterprise standards for agentic AI-enabled engineering, SDLC automation, governance, security, resiliency, and responsible AI adoption while managing large engineering teams and influencing senior leaders.

Designs and delivers secure, scalable AWS data-platform software. Writes production code, builds data processing using Glue/EMR/Redshift/Athena/Lake Formation, leverages AI-assisted dev tools responsibly, produces architecture artifacts, and drives CI/CD, resiliency, and security improvements.

Builds and maintains secure, reusable, accessible front-end components and design-system libraries using React and JavaScript/TypeScript. Collaborates with designers, accessibility specialists, and engineers to deliver production-ready UI components. Uses AI-assisted development tools, automation, continuous delivery, and agile practices to improve development, testing, documentation, and software reliability. Contributes to technical troubleshooting, code reviews, design-system adoption, and engineering communities of practice.

Designs, develops, tests, troubleshoots, and supports secure, scalable Java and React applications in an agile environment. Builds production code, contributes to architecture, analyzes data for system improvements, supports CI/CD and DevOps practices, and uses AI-assisted development tools responsibly. Preferred experience includes Kafka messaging and AWS cloud technologies.

Develops and operates secure, scalable cloud software solutions for enterprise observability platforms. Responsibilities include application design, coding, testing, troubleshooting, architecture documentation, AWS infrastructure deployment, container orchestration, networking, Terraform automation, data analysis, and operational stability. The role also requires responsible use of AI-assisted development tools, adherence to secure coding practices, and collaboration within an agile environment.

Develops and supports secure, high-quality Java backend applications using Spring, Spring Boot, microservices, and REST APIs. Designs complex application architectures, troubleshoots technical issues, analyzes large datasets, and improves software quality, resiliency, and stability. Collaborates within agile software development practices, contributes to engineering communities, and applies authorized AI-assisted development tools responsibly. Preferred experience includes AWS, Kafka or MQ, and modern frontend technologies.

Build and own full-stack AI-enabled products at enterprise scale. Responsibilities include developing RAG and semantic search capabilities, embedding pipelines, document-generation solutions, agentic workflows, validation and guardrail frameworks, and reliable production services. The role emphasizes secure coding, testing, observability, performance, scalability, responsible AI use, and collaboration with product and risk teams in a regulated environment.

Leads design, development, testing, troubleshooting, and operational stability for .NET full-stack applications supporting loan servicing platforms. Builds secure APIs, web applications, and database solutions using C#, ASP.NET, JavaScript, SQL Server, and related technologies. Reviews code, drives responsible AI-assisted engineering practices, automates recurring remediation, optimizes relational databases, and evaluates vendor and architectural solutions. Requires experience with ACBS, CLS APIs, Servicing Portal capabilities, commercial lending workflows, and regulated financial-services environments.

Designs and develops full-stack, data-centric applications using Python, TypeScript, React, AWS, microservices, APIs, data pipelines, predictive models, and GenAI workflows. Collaborates with data scientists, engineers, product managers, and stakeholders to build, test, maintain, and support applications throughout their lifecycle. Responsibilities include API and data architecture, automated testing, technical debt reduction, backlog refinement, observability, and engineering excellence.