Lead Software Engineering - Python

• Locations 575 Washington Blvd, Jersey City, NJ, 07310, US
• Job Schedule Full time
• Job Shift Day
• Base Pay/Salary Jersey City,NJ $-$

Be an integral part of an agile team that’s constantly pushing the envelope to enhance, build, and deliver trusted, market-leading technology products in a secure, stable, and scalable way.

As a Lead Software Engineer at JPMorgan Chase within Infrastructure Platforms, you will make a significant business impact through your skills and contributions, applying technical expertise and problem-solving methodologies to address a diverse array of challenges across multiple technologies and applications.

Job Responsibilities

• Execute creative software solutions, design, development, and technical troubleshooting, thinking beyond routine or conventional approaches to build solutions or break down technical problems.
• Deliver end-to-end solutions in the form of cloud-native, microservices-based applications, leveraging the latest technologies and best industry practices.
• Use domain modeling techniques to build best-in-class business products, structuring software for clarity, testability, and evolution.
• Develops secure high-quality production code, and reviews and debugs code written by others.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
• 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.
• Design and build solutions that avoid single points of failure using scalable architectural patterns.
• Design and build scalable, secure, and reliable solutions by leveraging modern architectural patterns that ensure zero-downtime releases and optimize data performance.
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years of hands‑on experience in software engineering, including system design, application development, testing, and operational support.
• Hands‑on development experience with Java and Spring/Spring Boot for building and supporting services.
• Experience working with cloud platforms (e.g., AWS, Azure, GCP), distributed systems, and web technologies, includingRESTful APIs and web services, Web Sockets, and JSON.
• Hands‑on experience designing and building scalable applications using SQL and No
  
  SQL databases.
• Experience with agile development methodologies (e.g., Scrum) and an understanding 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.).
• Demonstrated experience leading effective use of enterprise‑authorized AI‑assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with…