Software Engineer Jobs in Plano, TX

Lead development of agentic AI platform capabilities, including orchestration frameworks, retrieval systems, APIs, SDKs, reference implementations, memory management, tool calling, and production deployment. Define platform roadmaps, architecture, reliability, monitoring, testing, governance, privacy, and model-risk standards. Partner with product, engineering, risk, and control stakeholders while guiding responsible AI-assisted software development and communicating technical strategy to senior leaders.

Leads backend software engineering for Asset and Wealth Management systems. Develops secure Java and Python services, designs AWS cloud-native architectures, builds Kafka-based distributed systems, and establishes CI/CD and testing practices. Provides technical guidance, reviews code, drives SDLC automation and responsible AI-assisted engineering adoption, and advises on governance, security, resiliency, and compliance in a regulated environment.

Lead the design, development, testing, and troubleshooting of secure, scalable Java full-stack and identity access management software. Create architecture artifacts, implement resilient systems, support production issues, and improve delivery through automation and AI-assisted engineering practices. Mentor team members in clean code, TDD, design, code review, and problem solving while incorporating monitoring, telemetry, security, alerts, and logging into software solutions.

Leads backend software engineering within an agile Asset and Wealth Management team. Develops and reviews secure Java or Python services, designs cloud-native AWS systems, and applies Kafka, distributed systems, CI/CD, and testing expertise. Guides technical teams, influences architecture and operations, and drives enterprise adoption of AI-assisted engineering practices. Establishes governance, quality controls, responsible AI standards, and automation across the software development lifecycle while advising stakeholders and senior leaders in a regulated environment.

Develops scalable, secure, and resilient Java or Python systems within an IAM team. Responsibilities include software design, coding, testing, troubleshooting, architecture documentation, data analysis, and operational stability. Leads responsible adoption of AI-assisted engineering tools, establishes validation and security standards, coaches engineers, and partners with architecture, data science, risk, compliance, and business teams.

Develop and maintain commercial Android and iOS applications across the full lifecycle. Responsibilities include UI design, coding, REST API integration, testing, documentation, app releases, enterprise iOS signing, certificate management, provisioning, MDM deployment, and troubleshooting. The role requires collaboration with stakeholders, technical documentation, and independent work, with Korean-English bilingual communication preferred.

Develop, enhance, secure, and maintain Broadcom’s Gen enterprise software for distributed applications. Responsibilities include hands-on coding, technical design, code reviews, debugging escalated customer issues, testing strategy, documentation, and customer-facing technical guidance. The role also contributes to modernization, cybersecurity practices, web APIs, DevOps, and potential mainframe software initiatives.

Leads development of internet-scale applications across the software development lifecycle. Builds secure, high-quality Java applications using Spring frameworks, relational databases, and SQL; reviews and debugs code; and ensures operational stability. Drives responsible adoption and governance of AI-assisted engineering tools, establishes validation standards, and coaches engineering teams on secure usage. Collaborates with stakeholders in Agile environments and promotes automation, testing, reusable patterns, and continuous improvement.

Develop full-stack, data-centric applications with GenAI capabilities, agentic workflows, predictive models, APIs, data pipelines, databases, and cloud infrastructure. Responsibilities include designing technical solutions, collaborating with data scientists and stakeholders, provisioning data for AI workflows, automating testing, supporting applications throughout their lifecycle, reducing technical debt, and promoting engineering excellence in an agile environment.

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.

Leads software engineering and AI/ML delivery for large-scale risk technology systems. Designs complex architectures, develops secure production code, optimizes Spark clusters and data pipelines, and applies Python, PySpark, SQL, AWS, and Databricks. Establishes AI-assisted engineering governance, improves software quality and automation, analyzes large datasets, and leads technologists in delivering resilient, scalable applications.

Leads development of resilient, scalable software and AI/ML platform services using Python and Java. Drives AI-assisted engineering practices, mentors teams, integrates enterprise systems, and builds fraud-detection and risk-assessment ML pipelines. Designs feature-store, model deployment, monitoring, and agentic AI components with production guardrails, governance, security, and auditability. Collaborates with architects, data scientists, business stakeholders, and infrastructure teams in an agile environment.

Assists with designing, developing, testing, debugging, documenting, and integrating software for aerospace applications. Collaborates with cross-functional teams, participates in code reviews, supports software quality and performance, and helps integrate software with hardware systems. The role requires a relevant bachelor’s degree, programming proficiency, and the ability to obtain and maintain a Secret U.S. security clearance. It is hybrid with occasional travel.

Lead the design, development, testing, deployment, and operation of secure full-stack applications using frontend and backend technologies. Build scalable APIs and accessible user experiences, improve resiliency and performance, troubleshoot production issues, and guide code quality and architecture. Drive CI/CD, automation, observability, secure development, AI-assisted engineering practices, and technical initiatives across agile, cross-functional teams.

Develop full-stack, data-centric applications using Python, TypeScript, React, AWS, APIs, data pipelines, and GenAI capabilities. Responsibilities include designing technical solutions, provisioning data for AI workflows, building ingestion and analytics systems, automating testing, supporting applications throughout their lifecycle, reducing technical debt, and collaborating with data scientists, product managers, and stakeholders in an agile environment.

Lead development of cloud-based MLOps and ML platform components supporting model training, deployment, monitoring, and serving. Build AWS infrastructure and microservices, automate testing and release workflows, monitor platform health, optimize high-volume transactional systems, and apply secure AI-assisted development practices. Collaborate within an agile team to deliver scalable, stable, and secure technology solutions.

Leads development of secure, scalable mobile applications for iOS and Android. Responsibilities include writing and reviewing production code, designing complex front-end solutions, integrating native device capabilities, optimizing performance, implementing automated testing, collaborating with UX teams, and supporting SRE practices. The role also involves advising stakeholders on technology adoption, using AI-assisted development tools responsibly, and following Agile and continuous delivery practices.

Lead software engineering for cloud-based machine learning platforms. Design and maintain infrastructure supporting model development, training, deployment, serving, and monitoring on AWS. Automate testing, releases, and SDLC processes; monitor platform stability and resolve performance issues. Guide responsible use of AI-assisted development tools, contribute to architecture and design decisions, support platform automation, and coach engineers on secure, compliant engineering practices.

Architects and develops Guidewire PolicyCenter solutions, integrations, configurations, and Gosu applications. Leads technical design, cloud deployment, API and event-driven architecture, CI/CD, observability, testing, troubleshooting, and platform modernization. Collaborates with architects, stakeholders, DevOps, and engineering teams to establish technical standards, document solutions, and deliver scalable insurance technology solutions using Guidewire Cloud Platform and modern cloud-native technologies.

Leads enterprise full-stack software engineering for secure, scalable managed-account platforms. Owns application components across architecture, development, testing, deployment, observability, and production support. Designs distributed cloud-native systems using Java and modern frontend technologies, mentors engineers, improves CI/CD and test automation, and drives responsible adoption of AI-assisted development tools. Partners with cross-functional stakeholders to deliver high-impact initiatives in an agile environment.

Leads software engineering for Connected Commerce, designing, developing, testing, and operating secure Java applications in AWS. Provides technical direction, reviews code, drives AI-assisted engineering practices, and influences product and platform decisions. Requires expertise in ECS, EKS, PostgreSQL, AWS automation, cloud-native development, multi-region deployments, zero-downtime releases, observability dashboards, and responsible AI usage. Coaches engineers and contributes to enterprise engineering standards and practices.

Leads the design, development, deployment, and troubleshooting of secure, scalable Java and Python software systems. Builds Spring Boot microservices on AWS, applies distributed-systems and backend infrastructure patterns, and manages observability, testing, resiliency, and security. Uses Spark and SQL for large-scale data processing, guides responsible AI-assisted development, and defines guardrails for production AI agents. Mentors engineers, collaborates with architects and business stakeholders, and drives technical solutions across multiple corporate technology functions.

Leads software engineering for a Machine Learning I/O team, developing secure production code and guiding design, testing, debugging, and operational stability. Drives enterprise adoption and governance of AI-assisted development tools, establishes validation standards for AI outputs, promotes secure and responsible AI practices, and influences technical decisions across teams. Provides technical direction, serves as a subject matter expert, and advocates for scalable cloud-native engineering practices.

Develop and maintain C#/.NET and React applications across on-premises, cloud, and hybrid environments. Build APIs, microservices, and automated CI/CD deployments; support Azure or AWS architectures, DevOps, security, monitoring, and application migrations. Collaborate with product, architecture, infrastructure, cybersecurity, and QA teams. Troubleshoot complex issues, participate in code reviews, ensure regulatory compliance, and develop testing, audit, risk assessment, and disaster recovery processes.

Leads the design, development, testing, debugging, integration, and optimization of complex aerospace software systems. Defines requirements, conducts code reviews, documents software, mentors junior engineers, collaborates with multidisciplinary teams, and drives improvements in software performance and quality. The role supports hardware integration and requires occasional travel, hybrid work, and an active Secret U.S. security clearance.