Software Engineer Jobs in Plano, TX

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.

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 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.

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.

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.

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.

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.

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.

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.

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.

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.

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 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.

Lead software engineering for Identity and Access Management systems. Design, develop, test, debug, and review secure Java applications; improve automation, continuous delivery, resilience, observability, and operational stability. Lead architectural evaluations with vendors and internal teams, promote modern technologies, and guide software engineering communities of practice. Collaborate within an agile team supporting secure, scalable financial-services technology.

Lead development and operation of scalable ETL/data transformation pipelines using Spark and data lake technologies. Design, automate, monitor production workflows, improve cost and reliability, mentor junior engineers, and contribute to platform/SDK infrastructure and CI/CD while enforcing secure, AI-assisted engineering practices.

Leads software engineering within JPMorgan Chase’s Risk Technology team, designing, developing, testing, debugging, and operating secure, scalable applications. Reviews production code, automates recurring issue remediation, evaluates vendor and architectural solutions, promotes emerging technologies and AI adoption, and leads software engineering communities of practice. Requires strong Java and AWS experience, cloud-native development, CI/CD, agile methodologies, application resiliency, security, and financial-services technology knowledge.

Lead technical development and modernization of a Software Defined Branch platform using C#, .NET, and PowerShell. Drive secure, production-grade code, AI-assisted engineering practices, Windows automation at scale, REST API and database integrations, and partner on architectural evaluations. Mentor peers, establish validation standards, and apply responsible AI and resiliency best practices within an agile delivery team.

Lead design and deliver AI-enabled data platform capabilities (metadata, lineage, data quality, retention). Drive adoption of enterprise-authorized AI-assisted engineering, build agentic production systems, develop secure production code, automate remediation, establish production SRE controls, and mentor teams on responsible AI and validation standards.

Principal Software Engineer responsible for designing scalable software frameworks, developing secure production code, reviewing and debugging implementations, and advancing cloud-native engineering practices. Leads adoption of agentic AI development workflows with governance for validation, auditability, security, resiliency, and sensitive-data handling. Serves as a technical subject matter expert, advises cross-functional teams, influences senior stakeholders, and delivers reusable solutions across the organization.

Leads software engineering for JPMorgan Chase’s Identity and Access Management team. Designs, develops, troubleshoots, and delivers secure, scalable Java and Spring Boot applications using microservices, REST APIs, cloud platforms, and relational databases. Creates architecture artifacts, maintains production code, identifies system and data issues, and improves engineering practices. Drives responsible adoption of AI-assisted development tools, establishes validation standards, coaches engineers on secure AI use, and contributes to engineering communities.