Jobs · Engineering · New Jersey

Sr Lead Software Engineer - Java, AWS

JPMorganChase · Jersey City, NJ · 1 mo ago
On-siteEngineeringFull-time

About the role

Executes creative technical solutions and troubleshoots complex problems across a reusable-components portfolio, thinking beyond routine or conventional approaches. Develops secure, high-quality production code and reviews and debugs code written by others. Identifies opportunities to eliminate or automate remediation of recurring issues, improving operational stability and mean-time-to-repair for adopting teams across the enterprise. Builds components to be drop-in and agent-native (for example, via the Model Context Protocol and CLIs) with automated upgrades, so adopters stay current with minimal effort. Leads evaluation sessions with external vendors, startups, and internal teams to probe architectural designs and applicability for use within existing systems. Leads communities of practice across Software Engineering to drive awareness and adoption of leading-edge technologies and shared frameworks.

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
  • Advanced skills in one or more programming languages, plus proficiency in automation and continuous delivery methods
  • Proficiency in all aspects of the Software Development Life Cycle and advanced understanding of agile methodologies such as CI/CD, application resiliency, and security
  • Demonstrated proficiency in a technical discipline such as cloud, artificial intelligence, or machine learning
  • Practical cloud-native experience

Preferred Qualifications, Capabilities, and Skills

  • Experience building SDKs, frameworks, or developer platforms that other engineering teams consume
  • Experience with agent-native tooling (for example, the Model Context Protocol or LLM tooling) and AI-assisted development workflows
  • Contributions to open-source or internal shared-library ecosystems

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