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Data Platform Lead Software Engineer

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Testing Site - JPMC
Full Time position
Listed on 2026-10-18
Job specializations:
  • Software Development
    DevOps, Cloud Engineer - Software, Backend Developer, Software Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 230000 USD Yearly USD 150000.00 230000.00 YEAR
Job Description & How to Apply Below
Position: Payments Data Platform Lead Software Engineer

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Payments Data Platform Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Banking - Data Analytics Payment team, youare an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job

responsibilities
  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Develops secure high-quality production code, and reviews and debugs code written by others
  • Designs, develops, and maintains RESTful APIs and microservices that support business-critical workflows and integrations
  • Owns full software development lifecycle — from requirements and design through implementation, testing, deployment, and production support
  • Builds and maintains CI/CD pipelines, automated testing suites, and deployment automation to ensure rapid, reliable releases
  • Collaborates with product managers, architects, and cross-functional teams to define technical requirements and deliver scalable solutions
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
  • Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years of applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • 3+ years of professional experience in backend or full-stack software engineering
  • Strong proficiency in Java, Spring framework, and Open Source technologies and experience with Python, Go, or Node.js
  • Hands-on experience designing and building RESTful APIs, microservices, and event-driven architectures
  • Solid understanding of relational and No

    SQL databases, containerized deployments (Docker, Kubernetes), and CI/CD tooling
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • In-depth knowledge of the financial services industry and their IT systems
  • Practical cloud native experience
Preferred qualifications, capabilities, and skills
  • Familiarity with AI agentic development patterns (LLM integration, prompt engineering, tool orchestration) and frameworks such as Lang Chain, Lang Graph, or ADK
  • Frontend development experience with ReactJS and modern JavaScript/Type Script ecosystems
  • Experience with API gateway patterns, GraphQL, messaging platforms (Kafka, SQS), or gRPC
  • Proficiency with Infrastructure as Code (Terraform), observability practices, and cloud service provisioning
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