Lead Software Engineer - Observability Platform Cloud Developer

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

As a Lead Software Engineer at JPMorganChase within the Enterprise Observability Platforms, you are 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.


* .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.


* Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.


* Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Required qualifications, capabilities, and skills


* Formal training or certification on software engineering concepts and 5+ years applied experience.


* Hands-on practical experience delivering system design, application development, testing, and operational stability.


* Advanced in one or more programming language(s) (e,g, Java, JavaScript, React, Python).


* Advanced experience working with two or more from the following: web application development, database, Unix/Linux environments, distributed and parallel systems, information retrieval, networking, large scale software development, security software development, Kafka, Kubernetes, Microservices, Terraform.


* Proficiency in automation and continuous delivery methods.


* Proficient in...