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 Lead Software Engineer at JPMorganChase within the Consumer and Community Banking - Deposits 2.0 Team, 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


* Design and develop creative software solutions, using innovative approaches to solve complex technical issues.


* Lead the creation and implementation of automation frameworks and AI-driven solutions to enhance business processes.


* Develop strategies for performance testing and automation to improve software quality and delivery speed.


* Establish and promote best practices in performance testing and automation throughout the organization.


* Write secure, high-quality production code and review/debug code from other team members.


* Help create and maintain Non-Functional test suites.


* Analyze test results, document testing activities, and track software defects.


* Identify and automate solutions for recurring issues to improve system stability.


* Communicate project status clearly and manage priorities when handling multiple tasks.


* Collaborate within a Scrum team, participate in Agile activities.

Required qualifications, capabilities, and skills


* Formal training or certification in software engineering, with 5+ years of experience.


* Strong system design, application development, and operational stability skills, and advanced proficiency in programming languages (Java, Python, C#, etc.).


* Experience designing, developing, and deploying AI/ML solutions, and hands-on work with Large Language Models (LLMs) and generative AI.


* Familiarity with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, Hugging Face).


* Experience with distributed systems and cloud platforms (AWS, GCP, Azure).


* Expertise in microservices, RESTful APIs, and database technologies (relational/NoSQL).


* Skilled in data streaming and messaging frameworks (Kafka, Spark).


* Familiarity with containerization tools (Docker, Kubernetes, Helm).


* Experience with performance testing tools (JMeter, Blazemeter) and Chaos Monkey Testing.


* Proficient in observability tools (Splunk, Dynatrace, Grafana).


* Skilled in development and testing tools (JUnit, Groovy, Postman, REST Assured, Eclipse, Maven, Jenkins, IntelliJ).

Preferred qualifications, capabilities, and skills


* Cloud certification (AWS, GCP, Azure).


* Knowledge of dependency injection frameworks (Spring, Spring Boot).


* Practical cloud-native development experience.


* In-depth kn...