Software Engineer Jobs in Plano, TX

Build and deliver client-facing software solutions for institutional investment clients. Responsibilities include developing third-party data integrations and parsers, configuring reports, workflows, and FIX Gateway connectivity, resolving data quality issues, enhancing the core platform, and supporting Client Services with technical client requests. The role requires translating ambiguous business requirements into production-ready implementations while documenting integrations and resolutions for reusable onboarding knowledge.

Build and deliver client-facing software solutions for institutional investment clients. Responsibilities include developing third-party data integrations and parsers, configuring reports, workflows, and FIX Gateway connectivity, resolving data quality issues, contributing platform enhancements, and supporting client services. The role requires translating ambiguous business requirements into production-ready implementations, collaborating with stakeholders, documenting solutions, and owning technical delivery for client onboardings.

Develop and scale enterprise AI coding-assistant platforms, including GitHub Copilot and Claude Code. Build custom skills, agents, infrastructure, automation pipelines, self-service portals, dashboards, and metrics. Design AWS infrastructure with Terraform, write and review production code, improve operational stability, enforce security controls, and support development teams adopting AI tools. Collaborate across software engineering communities to implement scalable, reliable, and compliant solutions.

Develop and maintain reliable Android and cross-platform software while diagnosing complex production issues through logs, telemetry, and root-cause analysis. Build AI-enabled log analysis, incident triage, RAG workflows, and automation to reduce debugging effort and MTTR. Implement and validate fixes through CI/CD pipelines, identify recurring defects, and improve system reliability in collaboration with engineering and operations teams.

Lead mobile automation testing for browser and native apps using mobile cloud platforms and emulators. Develop and execute test scenarios across phases, implement CI/CD with Jenkins, perform API testing with JMeter, ensure accessibility compliance, and manage test automation teams in client-server environments.

Lead design and execution of mobile web and native app test automation across testing phases. Use mobile cloud platforms and emulators, implement CI/CD with Jenkins, perform API testing with JMeter, ensure accessibility compliance, and manage test teams and test scenarios throughout the application lifecycle.

Implement and enhance SAP IBP Supply & Response and Inventory Optimization solutions. Own technical architecture, integrations, configurations, software delivery, documentation, and continuous improvement. Translate business requirements into scalable solutions, collaborate with cross-functional teams, and work within Agile frameworks. The role requires deep SAP IBP expertise, SAP ERP integration experience, and strong technical, analytical, communication, and leadership skills.

Design, develop, test, document, and maintain scalable big data and cloud solutions. Build analytics rules engines, APIs, AI/ML prototypes, and enterprise integrations using Scala, Python, Azure, Spark, and related technologies. Evaluate tools and frameworks, define technical architecture, analyze requirements, estimate development work, conduct code reviews, collaborate across teams, provide production support, and improve existing applications.

Develop and maintain scalable big data and cloud solutions using Scala, Python, Spark, Azure, and AI/ML technologies. Design analytics rules engines, APIs, distributed systems, and machine learning prototypes; evaluate tools and frameworks; analyze requirements; contribute to architecture and estimates; perform code reviews, documentation, testing, and production support; and collaborate across engineering, QA, architecture, and management teams.

Participates in Texas Instruments’ Career Accelerator Program while working on a software design team. Learns embedded systems design, software development processes, real-time coding and debugging, TI device architecture, open-source licensing, and SDKs. Gains exposure to software applications, systems, and testing through formal training, projects, and on-the-job experiences. The role requires a relevant bachelor’s degree and a minimum 3.0 GPA, with C/C++, assembly, software lifecycle, communication, collaboration, analytical, and problem-solving skills preferred.

Lead architecture and development of a firm-wide software dependency risk platform on AWS and Java. Own data ingestion, dependency graph modeling, APIs, integrations, technical strategy, and production delivery. Establish agentic AI engineering practices using tools such as Claude, with governance for security, resiliency, auditability, and human validation. Mentor senior engineers, solve complex technical problems, and represent engineering across security, risk, compliance, and platform stakeholders.

Design and implement high-performance, 3GPP-compliant 5G Core control- and user-plane functions on ARM-based embedded Linux. Develop in C/Go/Rust, use DPDK for packet processing, optimize latency/throughput, debug protocol and performance issues, and collaborate cross-functionally to integrate carrier-grade systems.

Lead end-to-end development of a greenfield enterprise platform for software dependency risk management. Build Java services, APIs, data ingestion pipelines, dependency analysis capabilities, and developer-facing features on AWS. Guide engineers and teams in secure AI-assisted development, code quality, testing, governance, and operational stability. Provide technical direction, influence architecture and product decisions, support production systems, and collaborate with product managers and designers to deliver scalable platform capabilities.

Leads software engineering for large-scale AWS infrastructure and platform services. Designs, develops, tests, secures, and supports production workloads using Python, Terraform, automation, infrastructure as code, and continuous delivery. Provides technical guidance, reviews code, influences architecture and operational decisions, promotes SDLC standards, and governs responsible AI-assisted engineering practices. Serves as a subject matter expert and coaches teams on secure, scalable, and compliant cloud development.

Leads architecture, engineering strategy, and delivery for a next-generation wire payment platform. Provides technical direction across multiple teams, defines technology standards, mentors engineers, and delivers scalable, secure cloud solutions. Responsibilities include designing Java and Spring applications, implementing CI/CD and infrastructure automation, integrating Kafka and RabbitMQ, optimizing AWS infrastructure, developing Oracle databases, and ensuring payment-system compliance. Partners with stakeholders, architects, and product teams to establish requirements, roadmaps, and high-performing enterprise solutions.

Design, develop, test, and support enterprise applications, APIs, microservices, and cloud-native solutions. Lead software projects through the full lifecycle, influence architecture, mentor engineers, improve code quality, troubleshoot production issues, and promote AI-assisted development and engineering automation. Collaborate with product, business, technology teams, and vendors to deliver secure, scalable applications.

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.

Lead design and deliver multi-cloud AI/ML solutions that ingest and correlate telemetry (metrics, logs, traces), build predictive anomaly detection and forecasting models, automate closed-loop remediation, integrate with ticketing systems, and provide self-service or conversational interfaces to reduce MTTR and ticket volume.

Lead and mentor an agile engineering team to design, build, test, and operate secure, cloud-native production software. Provide technical direction, deliver high-quality code, drive product design decisions, and advocate firmwide engineering practices while applying AI/ML expertise.

Lead and deliver secure, scalable Java-based microservice solutions; drive adoption and safe use of enterprise AI-assisted engineering tools; produce architecture and high-quality production code; improve CI/CD, data models, and system reliability while mentoring engineers and contributing to engineering communities.

Lead an agile team to design, build, and operate secure, scalable cloud-native Java microservices. Drive adoption and validation of enterprise-authorized AI-assisted engineering tools, improve automation and operational stability, evaluate vendor architectures, and mentor engineering communities while ensuring resilient, secure delivery.

Lead engineer responsible for designing, building and operating scalable Big Data/ETL pipelines and production services on AWS. Drive automation (including LLMs/agents), SRE practices, security and data accountability, monitoring/alerting, incident management, and cross-team coordination. Champion AI-assisted engineering, remediate control/security findings, and improve reliability, performance, and operational efficiency.

Leads end-to-end development of secure, scalable customer-facing software using full-stack and cloud technologies. Designs systems, writes and reviews production code, improves reliability and performance, and guides technical decisions. Provides mentorship, code reviews, and coaching to engineers while promoting software development lifecycle practices, Terraform-based infrastructure, AWS cloud adoption, and responsible AI-assisted engineering. Collaborates with vendors and cross-functional teams to evaluate architectures and deliver resilient digital banking experiences.

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.