Software Engineer Jobs in Plano, TX

Design, implement, and maintain full-stack software features across frontend and backend systems. Build scalable, highly available microservices using Java, Node.js, and Python, while developing responsive interfaces with Angular, HTML5, and CSS3. Collaborate with senior engineers to deliver production-grade solutions, debug distributed systems, and improve customer IT administration experiences.

Architects and implements Guidewire PolicyCenter integrations, configurations, and Gosu-based solutions. Leads technical design, coding, testing, documentation, architecture standards, troubleshooting, and platform modernization across cloud environments. Develops API-first, event-driven, and microservices solutions using Guidewire Cloud Platform, AWS, Kubernetes, CI/CD, observability, and infrastructure-as-code practices. Collaborates with architects, stakeholders, DevOps, and engineering teams while ensuring secure, compliant, and scalable integrations.

Leads mobile software engineering and automation efforts, developing secure production code and testing native mobile applications and browsers across iOS and Android. Coordinates test scenarios, automation, defect resolution, accessibility testing, and operational stability. Guides teams on software design, testing, SDLC practices, and responsible AI-assisted engineering, including validation, security, and governance of AI tools.

Develop and execute advanced RF and MMIC test strategies, automated ATE software, fixtures, and test procedures. Perform RF characterization, calibration, validation, troubleshooting, failure analysis, qualification, and environmental testing. Manage test data, laboratory equipment, technical reporting, and procurement support while maintaining LabVIEW-based systems and associated databases. The role requires expertise in microwave theory, RF instrumentation, semiconductor testing, and precision assembly, along with independent problem-solving and cross-functional collaboration.

Lead software engineer responsible for designing, developing, and delivering secure, scalable Java/Spring microservices. Drive team adoption of enterprise-authorized AI-assisted engineering practices, produce architecture artifacts, improve code quality via automation and CI/CD, troubleshoot complex issues, and coach engineers on responsible AI and secure coding standards.

Designs and builds scalable production software, including APIs, platforms, integrations, and services. The role owns architecture decisions, writes and reviews tested code, prototypes solutions, mentors engineers, collaborates with cross-functional teams, and communicates with technical and non-technical stakeholders. As a consultant, the engineer adapts to varied client projects, navigates ambiguity, and leads delivery from conception through implementation.

Design and build scalable software systems, APIs, platforms, integrations, and services. Collaborate with cross-functional teams, translate business needs into technical solutions, prototype rapidly, and make architecture decisions. Write tested code, participate in reviews, mentor teammates, communicate with stakeholders, and own delivery from start to finish. Consultants may also work with cloud platforms, distributed systems, APIs, infrastructure as code, CI/CD, and test automation.

Leads technical direction for complex systems and client engagements, architecting scalable cloud-native software, APIs, distributed systems, and microservices. Guides multiple engineering teams through technical challenges, establishes engineering standards, mentors engineers, evaluates emerging technologies, and advises clients. The role also involves cross-functional collaboration, technical prototyping, and occasional consulting or pre-sales support.

Develop and test AI tools and automations that address business needs. Gather requirements from business users, build prototypes, iterate through feedback, troubleshoot software, document code, participate in reviews, and integrate AI solutions with existing systems. Collaborate with multidisciplinary teams and stakeholders to ensure quality, usability, and adoption.

Provides senior technical support for enterprise authentication and authorization platforms, including identity solutions, workforce sign-on, federation, and cloud identity providers. Owns complex integration incidents, performs root-cause analysis, writes diagnostic code, reviews integrations, and develops durable fixes. Partners with engineering customers on secure designs, documents runbooks, supports releases, mentors engineers, and improves operational stability. Leads responsible adoption of AI-assisted engineering tools while enforcing validation, security, and compliance standards.

Leads the design and development of scalable software frameworks and secure production code. Architects enterprise AI-enabled engineering workflows, establishes responsible AI guardrails, and improves automation, testing, release readiness, and incident response. Advises cross-functional teams, influences senior stakeholders, defines target-state AI architectures, and guides roadmaps and solution architectures across Consumer and Community Banking.

Build, operate, and scale AWS production environments using EKS, ECS, and Terraform. Maintain CI/CD pipelines, Akamai CDN and security configurations, certificates, monitoring dashboards, alerts, and incident-response processes. Improve reliability, observability, automation, resiliency, and secure operations for application and AI-enabled services. Support change management, troubleshooting, documentation, root-cause analysis, and responsible use of AI-assisted development tools.

Develop and operate Cisco’s foundational model service on Kubernetes and Linux. Support model onboarding, inference runtime releases, deployment validation, monitoring, production debugging, and shared on-call operations. Build automation and agentic solutions for platform reliability, benchmark and evaluate models, document systems, and collaborate across engineering and product teams. The role focuses on scalable AI infrastructure, GPU workloads, model serving, and maintaining a 99.9% uptime service.

Develop and optimize low-level embedded software and firmware for wireless communication systems. Integrate WiFi and 5G/LTE modules, support board bring-up, and validate hardware-software interactions. Optimize CPU, DSP, FPGA, and power performance; implement secure boot and OTA firmware updates; debug complex subsystem interactions; and collaborate with hardware and cross-functional teams. Maintain technical documentation and participate in code reviews.

Leads engineering and SRE work for firm-wide identity platforms, designing reliable services, APIs, automation, and infrastructure across enterprise and public-cloud environments. Owns production reliability, observability, incident response, resiliency, disaster recovery, CI/CD, and infrastructure-as-code. Establishes service-level objectives, improves scalability and security, mentors engineers, and leads responsible adoption of AI-assisted development and incident-management workflows. Requires software engineering, IAM, cloud, networking, Kubernetes, and high-availability systems expertise.

Develop and maintain scalable digital commerce applications across the full software development life cycle. Build full-stack features, resolve complex production issues, optimize performance, conduct code reviews, and implement secure coding practices. Collaborate with product, design, engineering, vendors, offshore partners, and technical leadership to translate requirements into solutions and deliver projects on schedule. The role is on-site five days per week and focuses on B2C e-commerce platforms.

Leads the architecture and delivery of GCP foundational platform capabilities, including landing zones, networking, shared services, IAM, identity federation, security guardrails, and reusable Terraform automation. Builds CI/CD enablement, supports secure cloud onboarding, and drives audit readiness. The role also promotes responsible AI-assisted engineering practices, evaluates architectural solutions with vendors and internal teams, and influences technical decisions across cross-functional teams.

Build and operate full-stack, cloud-based applications for small businesses using React, Node.js, JavaScript/TypeScript, MongoDB, and AWS. Translate ambiguous customer and business needs into requirements, architecture, and acceptance criteria. Use and validate AI-generated work across development, testing, debugging, and documentation. Develop integrations, multi-tenant platforms, domain and DNS capabilities, and business workflows while diagnosing production issues and improving engineering and deployment processes.

Develop and support scalable software and AI-powered applications for Bank of America’s conversational AI, search, and virtual assistant platforms. Responsibilities include designing architecture, coding, testing, building RESTful APIs and microservices, implementing Generative AI and RAG solutions, automating CI/CD and releases, troubleshooting production issues, and supporting deployment and monitoring. The engineer will collaborate in Agile teams, contribute to technical decisions, conduct code reviews, and mentor other engineers.

Leads software engineering efforts within an agile team, designing, developing, troubleshooting, reviewing, and delivering secure, scalable production software. Drives adoption of AI-assisted engineering practices, automation, continuous delivery, and responsible AI standards. Provides technical leadership across AWS, Kubernetes, Java, Spring Boot, and related platforms; improves application resiliency, resolves recurring issues, evaluates architectures and vendors, and promotes modern engineering practices across communities of practice.

Leads software engineering across design, development, troubleshooting, code review, automation, and production stability. Builds secure, scalable solutions using AWS, Kubernetes, Java, Spring Boot, and other programming languages. Drives responsible adoption of AI-assisted engineering tools, establishes validation standards, evaluates architectures and vendors, automates recurring remediation, and promotes engineering best practices through communities of practice.

Leads software engineering efforts across design, development, troubleshooting, code review, automation, cloud platforms, Kubernetes, and secure production delivery. Drives adoption of AI-assisted engineering practices with validation and responsible-use standards. Evaluates architectures and vendors, improves application resiliency and operational stability, promotes automation, and leads engineering communities of practice.

Leads software engineering initiatives across design, development, troubleshooting, code review, automation, and production stability. Builds secure, scalable solutions using AWS, Kubernetes, Java, Spring Boot, and related technologies. Promotes AI-assisted engineering practices with validation, security, and responsible-use standards. Evaluates architectural solutions, supports vendor assessments, drives adoption of modern tools, and leads software engineering communities of practice.

Lead design and build scalable data processing and control-plane solutions on Databricks/AWS. Develop Python/PySpark/SQL pipelines, APIs/SDKs, governance, observability, CI/CD, and operational runbooks. Mentor engineers, drive adoption of AI-assisted development, and ensure data quality, security, lineage, and platform reliability.

Lead development of agentic AI platform capabilities, including orchestration frameworks, RAG systems, tool calling, memory management, APIs, and production deployment patterns. Drive architecture, platform roadmaps, reliability, monitoring, governance, privacy, model risk controls, and responsible AI practices. Partner with product, engineering, risk, and control teams while coaching engineers on secure AI-assisted development and communicating technical strategy to senior stakeholders.