Software Engineer Jobs in Richardson, TX

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.

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.

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 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.

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.

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.

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 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.

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 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.

Build and maintain Tanium products on an agile team, designing, developing, testing, and deploying cloud-based data services. Collaborate with product management and customers, create memory-efficient data-transfer systems, develop APIs, manage databases and object storage, and use infrastructure as code, Kubernetes, and CI/CD. The role also involves automated testing, production debugging, incident resolution, and balancing rapid delivery with long-term maintainability.

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.

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 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 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 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.