Software Engineer Jobs in Plano, TX

Lead a team and portfolio building distributed microservices and full-stack cloud solutions to meet regulatory needs. Mentor engineers, collaborate with product managers, and deliver scalable AWS-based applications using modern languages, containers, and databases.

Lead backend engineer responsible for designing, building, and operating edge network security infrastructure (WAF, bot protection, traffic inspection). Develop Python automation and serverless AWS services (Lambda, ALB, DynamoDB) for real-time threat detection. Collaborate with security/product/platform teams, use AI tooling to accelerate development, participate in on-call rotations and incident response, and translate threat intelligence into infrastructure-as-code deployments.

Lead an agile engineering team to design, build, and deliver secure, production-grade software for an AI/ML data platform. Provide technical guidance, write and review code, drive adoption of AI-assisted engineering and CI/CD practices, enable Snowflake releases, improve resiliency and automation, and influence product design and SDLC governance.

Own and ship production-grade multi-agent AI systems that automate software delivery pipeline stages. Design, build, and maintain reliable, observable, and cost-effective agent capabilities; implement evaluation and quality mechanisms; lead cross-functional teams; ensure operational stability, clear failure modes, and scalable production code; influence senior stakeholders.

Lead design, build, and maintain low-latency options algorithmic trading systems. Develop secure, high-quality production code, optimize performance, integrate market data and FIX protocols, apply AI-assisted engineering practices, mentor engineers, and collaborate with product to translate strategies into scalable algorithms while ensuring operational stability and observability.

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 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.

Lead design and build of agentic/LLM-based systems, produce secure production code and architecture, improve observability and testing, drive AI-assisted engineering practices, and collaborate across product, design, and operations while ensuring compliance and responsible AI use.

Lead design and delivery of scalable, secure AWS-based platform solutions. Develop and maintain production code and automation, champion AI-assisted engineering practices, produce architecture documentation, analyze large datasets for resiliency and performance, implement CI/CD and observability, and mentor junior engineers.

Lead architecture and delivery of high-throughput Databricks/Spark data pipelines and lakehouse patterns on AWS. Drive performance tuning, governance (Unity/Glue Catalog), CI/CD, automation, reusable libraries (Python/Java), and adoption of enterprise AI-assisted engineering practices while mentoring teams and ensuring secure, scalable production operations.

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 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.

Lead development of secure, production-grade storage/platform software. Design and deliver distributed systems using Python and modern cloud-native practices, drive automation and AI-assisted engineering adoption, troubleshoot complex incidents, mentor engineers, and partner across product, operations, and security to improve reliability and delivery.

Lead and deliver secure, high-quality Java/Spring Boot solutions across the SDLC. Drive AI-assisted engineering adoption, improve automation and operational stability, evaluate vendor architectures, coach teams on secure/responsible AI use, and support cloud-native, observability, and event-driven designs within financial services.

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 design and build the API Platform: develop secure, scalable production code, remove technical debt, drive architecture and API standards, mentor engineers, adopt enterprise AI-assisted development practices, and ensure operational stability across cloud-native microservices.

Lead an agile team to design, develop, secure, and operate Salesforce-based solutions. Build and review production code, drive automation and CI/CD, evaluate vendor integrations, lead engineering communities of practice, and improve operational stability and resiliency.

Lead design and build of agentic and AI-driven systems: produce secure production code, architecture artifacts, observability, and data-driven improvements. Champion AI-assisted engineering, compliance, testing, and cross-functional delivery for scalable, reliable agent services.

Lead design and build of agentic LLM systems and production services. Write secure production code, create architecture artifacts, run data-driven analysis, mentor engineers, enforce testing, observability, CI/CD, and compliance, and drive enterprise AI-assisted engineering practices.

Lead an agile team to design, build, deploy, and operate cloud-native data and ML platforms. Provide technical guidance, write and review secure production code, drive AI-assisted engineering adoption, migrate legacy big-data apps to cloud, build data pipelines and monitoring/provisioning tools, and influence architecture and automation across the SDLC.

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 and deliver secure, scalable Java/Spring enterprise applications; drive adoption of enterprise AI-assisted engineering practices; design, develop, review, and stabilize production code; evaluate vendors and lead engineering communities of practice.

Lead engineer for the Enterprise Observability Platform building secure, scalable cloud-native observability solutions. Designs and delivers production code, drives automation and remediation, leads vendor evaluations and communities of practice, promotes AI-assisted engineering and validation standards, and ensures CI/CD, resiliency, and security across the SDLC.

Lead cloud architecture strategy for AWS-based products: resiliency, cost optimization, IaC automation, security, observability, AI integration, scalability, and cross-team architectural standards while promoting enterprise-authorized AI-assisted engineering practices.

Design, build, and operate enterprise-scale cloud network perimeter and egress proxy solutions. Develop secure production code, automate infrastructure with IaC, manage proxy infrastructure, troubleshoot connectivity, enforce policies and certificates, use AI-assisted workflows responsibly, and collaborate with application and platform teams to ensure secure, compliant cloud connectivity.