Software Engineer Jobs in Richardson, TX

Lead design, build, and deploy enterprise-grade AI solutions (RAG, agentic systems, LLM integrations). Use AI-assisted development tools daily, architect scalable secure systems on AWS, write production code, own end-to-end outcomes, evaluate vendors, and drive cross-team alignment and automation to improve operational stability.

Leads full-stack software engineering and infrastructure platform development for AI-driven, self-healing data center operations. Designs Java, Python, and Node.js applications, scalable APIs, CI/CD automation, cloud-native platforms, VMware integrations, and infrastructure-as-code workflows. Develops machine learning models for forecasting, anomaly detection, and test classification, integrating them into operational systems for predictive alerts and workload orchestration. Provides technical leadership, mentors engineers, reviews code, and drives firm-wide architecture and technology decisions.

Lead software infrastructure engineering for a payment data platform. Responsibilities include deploying and operating ClickHouse clusters, designing scalable AWS infrastructure, developing infrastructure as code, optimizing performance and costs, managing security, automating provisioning and deployments, troubleshooting Linux systems, and maintaining operational tooling. The role also leads architecture efforts, technical problem-solving, engineering community contributions, and adoption of secure, human-in-the-loop agentic AI engineering practices.

Leads software engineering within an agile platform team, providing technical direction, developing and reviewing secure production code, troubleshooting systems, and improving automation and operational stability. Drives responsible adoption of AI-assisted engineering practices, evaluates vendor and startup technologies, promotes secure coding and validation standards, and leads software engineering communities of practice. Requires advanced Java or Python skills, cloud-native experience, CI/CD proficiency, SDLC expertise, and financial-services IT knowledge.

Lead development of secure, scalable Java full-stack applications for mortgage technology. Design, develop, test, troubleshoot, review, and debug production code; improve operational stability through automation and remediation. Drive responsible adoption of enterprise-approved AI-assisted development tools, establish validation and security standards, coach engineers, and evaluate vendor and architectural solutions. Collaborate within agile teams using SDLC, CI/CD, resiliency, and security practices.

Designs, deploys, maintains, and troubleshoots HPE NonStop payment infrastructure, secure key managers, Etinet servers, and related subsystems. Uses AIOps and AI-assisted practices for incident triage, anomaly detection, automation, documentation, and reliability improvements. Partners with SRE, observability, and cybersecurity teams to govern AI-enabled monitoring, maintain auditability, execute upgrades, and produce operational knowledge such as runbooks and troubleshooting guides.

Lead software and ML engineering for scalable, secure production systems. Author and review code, drive AI-assisted engineering practices, design ML pipelines and deployment/monitoring, automate remediation, evaluate vendors, and mentor teams on responsible AI and MLOps.

Leads software and infrastructure engineering for a network test automation platform. Provides technical direction, architects scalable changes, and drives complex programs across cloud, on-premises, data center, operating system, hypervisor, and networking environments. Establishes AI-assisted engineering governance, secure validation practices, automation standards, observability, telemetry, and CI/CD improvements. Collaborates with technical teams, vendors, and other platforms to modernize infrastructure, mitigate risk, and promote reusable engineering frameworks.

Lead software engineering delivery of secure, scalable, cloud-native microservices applications. Design and develop production code, review and debug others’ work, resolve technical issues, improve application resiliency, automate recurring remediation, and support zero-downtime releases. Collaborate within agile teams, apply domain modeling and modern architectural patterns, lead technical communities of practice, mentor others, and drive adoption of effective engineering practices.

Leads development of secure, scalable, cloud-native microservices and full-stack applications. Designs resilient architectures, writes and reviews production code, troubleshoots issues, and improves operational stability. Drives automation, continuous delivery, AI-assisted engineering practices, responsible AI usage, and software development standards. Mentors engineers, leads communities of practice, adopts modern technologies, and delivers reliable solutions across distributed systems, APIs, databases, and web technologies.

Lead and support database modernization, design, performance tuning, migrations, and production troubleshooting. Serve as a subject-matter expert advising application teams, partnering with PaaS/DBaaS/cloud teams, driving adoption of AI-assisted engineering practices, automation and CI/CD, and creating modernization patterns and tools to accelerate delivery and ensure resilience, security, and cost optimization.

Leads development of secure, scalable native mobile applications within an agile engineering team. Responsibilities include designing and reviewing production code, troubleshooting technical issues, mentoring engineers, applying AI-assisted development practices responsibly, improving automation and application resiliency, maintaining CI/CD pipelines, and evaluating vendor and architectural solutions. The role emphasizes Android development with Kotlin alongside knowledge of iOS technologies, mobile architectures, testing frameworks, REST services, and secure software engineering.

Design, develop, and support scalable, secure database and software solutions. Drive database modernization, troubleshooting, migrations, automation, and CI/CD practices. Use AI-assisted development tools responsibly, produce architecture artifacts, and collaborate with cloud, PaaS/DBaaS, and DevOps teams to ensure production stability and continuous improvement.

Leads development of secure, scalable backend services and APIs using Java, Spring Boot, microservices, AWS, and cloud-native technologies. Designs infrastructure with Terraform, manages containerized applications, builds event-streaming solutions, and works with relational and NoSQL databases. Drives code quality, automation, observability, SRE practices, remediation of recurring issues, and responsible use of AI-assisted engineering tools. Evaluates vendor and internal architectural solutions while reviewing and troubleshooting production code.

Lead design, development, troubleshooting, and deployment of automation for virtualized clusters and Kubernetes or OpenShift lifecycle operations. Build scalable server-side services, automate provisioning and compliance workflows, improve operational stability, and manage distributed systems using workflow orchestration. Promote responsible AI-assisted engineering practices, establish validation standards, document technical decisions, and mentor engineers through design and code reviews.

Leads full-stack software engineering within an agile finance technology team. Develops, reviews, debugs, and governs secure production code; drives AI-assisted engineering, automation, monitoring, and operational stability. Provides technical guidance, coaches engineers, evaluates vendor architectures, collaborates with product teams, manages delivery risks, and leads engineering communities of practice. Requires extensive enterprise software development experience across Java, Spring, JavaScript, React, testing, CI/CD, security, event-driven systems, and observability technologies.

Lead and deliver cloud-native, microservices-based applications using Java and related technologies. Drive adoption of enterprise AI-assisted engineering practices, design scalable secure solutions, write and review production code, automate recurring issues, mentor teams, and promote modern engineering patterns and resiliency across the organization.

Leads software engineering for private cloud and next-generation infrastructure. Provides technical direction, develops and reviews secure production code, solves complex design and functionality problems, and improves SDLC automation through approved AI-assisted engineering practices. Establishes validation, security, testing, and governance standards; supports cloud infrastructure and APIs; influences product and operational decisions; and serves as a subject-matter expert and engineering community advocate.

Leads the design, development, testing, troubleshooting, and delivery of scalable Java software systems for Identity and Access Management. Produces architecture artifacts, applies secure coding and non-functional requirements, mentors engineers, and drives Agile delivery. Leads adoption of enterprise-approved AI-assisted development tools, establishing standards for validation, security, and responsible use. Collaborates with stakeholders, evaluates system dependencies, and implements continuous improvements across software delivery and automation practices.

Lead software engineer responsible for designing, building, and operating secure, high-quality Python-based production systems. Drive distributed systems design, automation, AI-assisted engineering adoption, troubleshooting, mentoring, and cross-functional collaboration to improve reliability and delivery.

Build and lead production Python software for technology-risk oversight, including data pipelines, PostgreSQL systems, authenticated APIs, and LLM agent workflows. Develop RAG, tool orchestration, evaluation, and guardrails; ensure security, auditability, observability, testing, reliability, and responsible AI use. Collaborate with Product, Risk, Controls, Compliance, and data teams while delivering dashboards and evidence packages.

Leads full-stack software engineering across design, development, testing, troubleshooting, and operational stability. Builds secure production code using Java or Python and React, reviews peer code, and promotes AI-assisted engineering practices with secure validation standards. Drives automation, continuous delivery, application resiliency, cloud-native development, vendor evaluations, architectural improvements, and technical communities of practice within financial technology.

Lead design, delivery, and operation of enterprise-scale infrastructure services. Drive AI-native engineering practices, write and review production code, ensure reliability and security, reduce operational toil via automation, run production at scale (on-call/incident response), mentor engineers, evaluate vendors, and lead cross-team engineering communities to adopt robust, validated development standards.

Leads software engineering for agentic identity and access management systems. Develops secure production code, establishes IAM standards for agents and services, evaluates architectures, automates remediation, and promotes AI-assisted engineering practices. Requires expertise in Java or Python, OAuth 2.0, OIDC, token authorization, non-human identity security, agentic integration standards, responsible AI, CI/CD, resiliency, and cloud technologies.

Leads development of secure, scalable software for a distributed multi-tenant platform, including APIs, data ingestion, pipelines, dashboards, and isolated AWS deployments. Designs and operates cloud-native Kubernetes workloads, promotes automation and AI-assisted engineering practices, and champions security, privacy, and supply-chain controls. Evaluates architectures, mentors teams, improves operational stability, and supports platform delivery across regulated environments.