Software Engineer Jobs in Plano, TX

Develops, troubleshoots, and maintains secure, scalable Java software within an agile team. Designs backend solutions using Java, Spring Boot, microservices, and AWS services while considering system dependencies and technical implications. Uses AI-assisted development tools responsibly for coding, testing, refactoring, and documentation, validating outputs through testing and peer review. Analyzes data, resolves technical issues, and contributes across the full software development lifecycle with minimal supervision.

Develops secure, scalable Java software solutions for JPMorganChase’s Merchant Services technology teams. Responsibilities include system design, microservices development, production coding, testing, troubleshooting, architecture documentation, data analysis, and operational stability. The role contributes to agile engineering practices, CI/CD, application resiliency, security, and responsible use of AI-assisted development tools.

Develops secure, scalable software and data solutions using Python, PySpark, AWS, and Databricks. Designs applications, writes production code, troubleshoots systems, creates architecture artifacts, and analyzes large datasets. Builds and optimizes Spark clusters, validates data quality with SQL, deploys machine learning models, and applies responsible AI-assisted development practices. Collaborates within agile teams to improve application resiliency, security, automation, and operational stability.

Designs, develops, tests, troubleshoots, and supports secure, scalable Java and React applications in an agile environment. Builds production code, contributes to architecture, analyzes data for system improvements, supports CI/CD and DevOps practices, and uses AI-assisted development tools responsibly. Preferred experience includes Kafka messaging and AWS cloud technologies.

Build, operate, and scale AWS production environments using EKS, ECS, and Terraform. Maintain CI/CD pipelines, Akamai CDN and security configurations, certificates, monitoring dashboards, alerts, and incident-response processes. Improve reliability, observability, automation, resiliency, and secure operations for application and AI-enabled services. Support change management, troubleshooting, documentation, root-cause analysis, and responsible use of AI-assisted development tools.

Design, develop, and operate a production agentic data platform using Spark, Kafka, Airflow, Snowflake and AWS. Write secure high-quality code across frontend and backend, leverage enterprise AI-assisted development and LLMs (Claude Code, agents, RAG, embeddings), build autonomous agents and MCP server components, apply secure/responsible AI practices, troubleshoot systems, and own full-stack application/platform delivery with CI/CD, containers, and observability.

Design, build, and maintain infrastructure and application components for stable, secure, cloud-native systems. Develop Java/Spring Boot services, use AWS/Azure and Kubernetes, support deployments/configuration, analyze large datasets, and apply enterprise AI-assisted development tools while ensuring secure, production-ready code.

Design, develop, and troubleshoot secure, scalable React and Python applications. Use enterprise-authorized AI-assisted development tools responsibly to improve code quality. Produce architecture artifacts, build automation tests, analyze data for improvements, contribute to engineering communities, and support CI/CD, resiliency, and security practices.

Design, develop, and troubleshoot React/Python applications; produce secure, high-quality production code; use AI-assisted development tools responsibly; create architecture artifacts; build tests and visualizations; improve system resiliency and coding hygiene; contribute to engineering communities.

Designs and delivers complex enterprise UI features using React and TypeScript. Leads front-end architecture, component design, API integration, accessibility, performance optimization, automated testing, observability, and CI/CD improvements. Uses approved AI-assisted development tools with secure human validation. Produces architecture artifacts, analyzes software data for continuous improvement, reduces flaky tests and defects, and mentors engineers while driving technical initiatives.

Designs, develops, reviews, and troubleshoots secure production software. Delivers Python-based solutions on AWS and Snowflake, drives automation and operational stability, leads engineering best practices, uses AI-assisted development tools responsibly, and contributes to product vision and team culture.

Design, develop, and maintain secure, production-grade full‑stack applications and microservices using React, Java/Node.js/Python and AWS. Integrate SaaS platforms (e.g., Monday.com), implement CI/CD, observability and AI‑assisted workflows, troubleshoot production issues, and ensure alignment with enterprise standards for security, resiliency, and scalability.

Design, develop, and maintain secure, production-quality software and AWS Data Lake solutions. Build infrastructure as code (Terraform), write Python/Java code, apply CI/CD and secure SDLC practices, analyze large data sets, and use enterprise AI-assisted coding tools while ensuring code quality, resiliency, and security.

Designs, develops, and troubleshoots secure, scalable production software for payments. Builds automation, scripts, and operational tooling; manages deployments and CI/CD; administers Tomcat/Apache stacks; improves monitoring/observability and batch scheduling; leverages enterprise AI-assisted coding tools while ensuring secure, validated outputs and operational stability.

Designs, develops, and troubleshoots secure, scalable native Android mobile applications using Kotlin. Leads architecture, builds production code, mentors engineers, leverages AI-assisted coding tools, maintains CI/CD pipelines, and improves systems through data-driven insights within Agile 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.

Designs and delivers secure, scalable AWS data-platform software. Writes production code, builds data processing using Glue/EMR/Redshift/Athena/Lake Formation, leverages AI-assisted dev tools responsibly, produces architecture artifacts, and drives CI/CD, resiliency, and security improvements.

Lead engineering and ML platform work: design, develop, and maintain secure, scalable production code and ML infrastructure; drive adoption and validation of enterprise AI-assisted development practices; automate remediation, evaluate vendors, and coach teams on responsible AI, resiliency, and security within agile CI/CD workflows.

Leads software engineering projects and developers building distributed microservices and full-stack cloud solutions. Collaborates with product managers, mentors engineers, evaluates emerging technologies, and delivers robust systems supporting regulatory needs and customer experiences. The role uses Python, JavaScript, Java, TypeScript, SQL, Go, AWS, databases, Docker, and Kubernetes.

Lead a team of software engineers and a portfolio of technology projects, building cloud-based full-stack and distributed microservices solutions. Develop and mentor engineers, collaborate with product managers, address regulatory needs, and use Python, JavaScript, Java, TypeScript, SQL, Go, AWS, Docker, Kubernetes, and database technologies. The role also emphasizes network automation, cloud engineering, Agile practices, and adoption of emerging technologies.

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.

Leads design and delivery of secure Java and Spring Boot microservices on AWS. Responsibilities include architecture, API and data modeling, production performance and resilience, observability, testing, CI/CD, incident management, code reviews, mentoring, and technical standards. The role also leads responsible adoption of AI-assisted engineering tools, evaluates vendors and architectures, and promotes secure, compliant development practices.

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.