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David Careers

Lead Software Engineer -Hybrid Mobile Development

Posted yesterday

testing site jpmcPlano (TX)
Software DevelopersCustom Computer Programming Services

SENIORITY

Lead

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About the role

Overview: We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank - Global Banking Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. You will solve business challenges through full‐stack engineering with a primary emphasis on building modern web UIs in React and RESTful APIs in Java/Spring Boot. You'll deliver end‐to‐end features across the UI and API layers, collaborating closely with partner data and platform teams to consume data via services and APIs. While the core focus is UI and API development, exposure to Kubernetes and event streaming (Kafka or equivalents), deploying to primarily private cloud environments, mobile (Android/iOS), and AI/ML service integrations is a plus. You'll work across the software development lifecycle in a culture that values experimentation, continuous improvement, and learning.
Job Responsibilities:
  • Design and build responsive, accessible React user interfaces using reusable components and modern tooling.
  • Design and build secure, performant RESTful APIs and microservices in Java and Spring Boot.
  • Integrate UIs and APIs end‐to‐end, including authentication/authorization, data validation, error handling, and observability.
  • Define and maintain API contracts and component standards to ensure consistency and reusability across teams.
  • Collaborate on architecture and design artifacts; ensure implementations meet functional and non‐functional requirements.
  • Partner with data platform teams to integrate data via services and APIs; contribute to schema and contract discussions; optimize payloads, caching, and client‐side data access patterns; write or review queries when needed.
  • Instrument applications and services for monitoring, logging, and metrics; use data to drive continuous improvement in reliability and user experience.
  • Contribute to engineering communities of practice and foster a culture of diversity, opportunity, inclusion, and respect.
  • Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience.
  • Proven full‐stack experience across web, application, and data layers with emphasis on:
Front end: React for building modern web applications (state management, component patterns, accessibility, testing).Back end: Java and Spring Boot for RESTful services and microservices (API design, security, testing).Databases: Experience integrating with data stored in SQL or NoSQL systems, primarily as a consumer via services, ORMs, or data access layers; ability to write and interpret queries when needed. Examples include Postgres, Oracle, MySQL, MongoDB, Cassandra, DynamoDB.Strong understanding of RESTful web service and web client design and programming. Solid engineering fundamentals: testing strategies, code reviews, version control, and CI/CD.Preferred qualifications, capabilities, and skills Platform and streaming: Kubernetes/container orchestration and event streaming (Kafka or equivalents); exposure to event‐driven architectures and message brokers. Cloud: Primarily private cloud deployment and operations (managed databases, messaging, IAM, networking basics, observability); familiarity with public cloud services is a plus. Mobile: Android or iOS development experience.
AI/ML: Familiarity with AI/ML services via APIs (e.g., model endpoints, embeddings, vector stores, managed AI services) with attention to secure data handling, latency, and cost controls. Front‐end architecture: Micro front‐end patterns and modern front‐end tooling.

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