Sr Lead Software Engineer - Java, AWS

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. in Jersey City invites a senior software engineer to design and implement secure, scalable solutions across a reusable components portfolio. The role emphasizes developing high-quality production code, automation, and operational stability.

You will drive cloud-native development, review code, and lead vendor evaluations while fostering communities of practice and advancing AI-enabled development across the enterprise.

Qualifications

• Formal training or certification in software engineering with 5+ years of experience
• Experience delivering system design, development, testing, and operations
• Strong programming skills and automation/CI-CD proficiency
• Deep understanding of SDLC, agile methods, security
• Proven expertise in cloud-native solutions and ML/AI concepts
• Hands-on experience with cloud environments and dev tooling

Responsibilities

• Executes innovative technical solutions across a reusable-components portfolio.
• Develops secure, high-quality production code and reviews code.
• Identifies opportunities to automate remediation and improve stability.
• Builds drop-in, agent-native components with automated upgrades.
• Leads evaluation sessions with vendors and teams to assess designs.
• Leads communities of practice to promote new technologies and shared frameworks.

Skills

Software engineering

CI/CD

Cloud

AI/ML

Automation

Agile

Education

Formal software engineering training

Tools

SDK development

Model Context Protocol

Job description

Job responsibilities

• 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