Software Engineer Jobs in Plano, TX

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 design and deliver cloud-native microservices and AI/LLM-driven features. Architect scalable, secure systems, drive AI-assisted engineering practices, improve observability/automation, mentor teams, and integrate generative AI into business workflows.

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.

Build and own automation-first QA across internal tools, carrier APIs, and customer portals. Design Playwright-based regression suites, integrate tests into CI/CD, apply AI testing tools, isolate defects, prioritize risk-based coverage, serve as a release quality gate, and document QA practices and compliance evidence. Partner with Engineering, Product, and Data Platforms in a fully remote role.

Design, develop, and deploy production-grade full-stack AI applications and agentic AI solutions. Build AI agents, multi-agent workflows, RAG pipelines, LLM applications, conversational interfaces, and scalable microservices using Java or Python and AWS services. Implement prompt engineering, evaluation, observability, guardrails, CI/CD, containerization, APIs, and infrastructure as code. Troubleshoot and optimize production systems in enterprise environments.

Designs and develops scalable web applications, APIs, and document lifecycle systems using Node.js and AWS. Builds secure solutions for document generation, signing, and vaulting while translating legal and business requirements into compliant technical implementations. Responsibilities include testing, continuous deployment, code reviews, system optimization, monitoring, troubleshooting, and mentoring engineers. Collaborates with product, engineering, and legal stakeholders to deliver reliable, high-availability document services.

Leads Android software engineering within an agile team, designing, developing, troubleshooting, and maintaining secure, scalable mobile applications. Provides technical leadership and mentoring, creates architecture and design artifacts, uses AI-assisted development tools responsibly, analyzes application data, maintains CI/CD pipelines, integrates REST services, and improves code quality, resiliency, performance, and security.

Leads design, development, deployment, and support of Privileged Access Management solutions. Provides technical leadership across security architecture, integrations, testing, automation, cloud platforms, and operational stability. Partners with stakeholders and vendors, performs proofs of concept, documents implementations, and provides Level 3 support. Drives secure, responsible adoption of AI-assisted engineering practices, validates AI outputs, and coaches teams on compliant usage.

Leads development of secure, scalable Java backend applications within an agile banking technology team. Designs, codes, tests, troubleshoots, and reviews production software while improving automation, resilience, and operational stability. Evaluates architectures and technologies, promotes software engineering best practices, and coaches teams on AI-assisted development, responsible AI use, cloud-native technologies, continuous delivery, and secure engineering workflows.

Designs, builds, and supports cloud-native platform capabilities centered on Kubernetes and AKS. Responsibilities include developing container platforms, Helm charts, deployment automation, CI/CD pipelines, developer self-service tools, container security controls, reliability improvements, troubleshooting, and cloud-native standards. The role partners with application, security, and architecture teams to modernize enterprise software delivery and evaluates emerging technologies, including generative AI tools.

Design, build, and scale resilient, distributed underwriting systems; collaborate cross-functionally; implement APIs and cloud-native solutions; apply DevOps practices, container orchestration, and database technologies; drive architecture, automation, and AI-enabled underwriting improvements.

Design, develop, test, and integrate geospatial software capabilities across the full SDLC. Collaborate in Agile teams, integrate cross-system capabilities, perform prototyping, contribute documentation, and support deployment and maintenance while applying GEOINT/SIGINT/IMINT domain knowledge.

Leads development of resilient, scalable Java and Python services, enterprise integrations, and AI-assisted engineering practices. Architects microservices, Kubernetes deployments, messaging, observability, and backend infrastructure. Builds ML pipeline and feature-store capabilities for fraud and risk models, operationalizes models, and creates agentic AI services with production guardrails, monitoring, governance, and auditability. Mentors engineers, coordinates delivery across stakeholders, and ensures security, performance, testing, and operational requirements.

Leads software engineering efforts within an agile banking technology team. Provides technical guidance, develops and reviews secure production code, drives AI-assisted engineering practices, influences application design and technical operations, and supports system design, testing, troubleshooting, and production systems. Requires strong Java and Spring Boot skills, clean coding and design-pattern expertise, full software lifecycle experience, and experience with low-latency, high-throughput systems.

Lead an agile engineering team to design, develop, and operate secure, scalable software incorporating generative AI and LLMs. Drive adoption of enterprise-authorized AI-assisted development practices, evaluate vendor solutions, improve automation and reliability, and mentor engineers on responsible AI, performance, and operational stability.

Lead an agile engineering team to design, develop, test, and operate secure, scalable production software. Provide technical guidance, influence product and architecture decisions, deliver high-quality code, and promote firmwide engineering practices and modern cloud-native technologies.

Designs and scales secure backend services, APIs, payment workflows, and financial tools for contractors. Responsibilities include system architecture, integrations, software lifecycle ownership, testing, deployment, observability, incident response, and operational excellence. The role collaborates with Product, Design, Finance, Risk, and Operations while mentoring engineers and promoting scalable, maintainable, reliable systems.

Leads enterprise DevSecOps modernization, platform standardization, and migration from legacy tools to GitLab, Artifactory, Grafana, and Coverity. Designs secure CI/CD pipelines, cloud automation, infrastructure-as-code, and export-controlled environments using AWS and Git-based workflows. Troubleshoots complex deployments, supports platform reliability, ensures regulatory alignment, and mentors administrators and developers. Partners across development, infrastructure, and cybersecurity teams to improve software delivery efficiency, security, and governance.

Lead technical contributor on an agile Investment Banking engineering team. Design, develop, debug, and optimize secure production Java/J2EE/Spring Boot systems; drive adoption and validation of enterprise-approved AI-assisted engineering practices; lead vendor evaluations, automation and remediation efforts, and communities of practice; mentor engineers on responsible AI use and ensure test automation, performance tuning, and operational stability.

Lead an agile engineering team to design, develop, and operate secure, scalable applications. Provide technical guidance, write and review production code, drive AI-assisted engineering adoption, influence product design, and promote firmwide SDLC practices using cloud-native, microservices, and Big Data technologies.

Lead and deliver secure, scalable infrastructure platform solutions: design, develop, review production code; implement CI/CD, automation, containerized distributed systems, and AWS IaC; drive AI-assisted engineering practices and technical vendor evaluations.

Lead and guide agile teams to design, build, and deliver secure, scalable AI-enabled software. Develop and review production code, drive product and technical decisions, champion enterprise AI-assisted development practices, implement RAG/LLM architectures and vector stores, integrate cloud services and CI/CD, and establish responsible AI guardrails and validation standards.

Build and operate secure, resilient AWS cloud foundation services using Java/Go. Design, develop, test, and automate production code, reduce operational burden, lead architecture/vendor evaluations, promote AI-assisted engineering practices, and drive reuse and validation standards across teams.

Lead technical contributor on a risk technology team designing, building, and operating scalable, secure data solutions. Implement Snowflake data models, Databricks/Spark ETL pipelines, APIs on AWS, and CI/CD automation. Drive AI-assisted engineering adoption, mentor junior engineers, and ensure operational resiliency and secure software delivery.

Lead technical design and deliver full‑stack software solutions. Develop, review, debug, and maintain production code; drive automation and operational stability; champion enterprise AI-assisted engineering practices; evaluate vendor/architectural solutions; lead engineering communities of practice and promote secure, resilient SDLC practices.