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 Corporate Technology, 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, and support a culture of diversity, equity, and inclusion.

Required Qualifications, Capabilities, and Skills


* Formal training or certification in software engineering, with 10+ years of experience.


* Strong system design, application development, and operational stability skills.


* Advanced proficiency in programming languages (Java, Python, C#, etc.)


* Hands-on work with Large Language Models (LLMs), Generative AI and Agentic AI.


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


* Experience with distributed systems and cloud platforms (AWS, Databricks, Snowflake).


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


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


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


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


* Effective communication across teams and management, with a proactive approach to process improvement.

Preferred Qualifications, Capabilities, and Skills


* Cloud certification (AWS, GCP, Azure).


* Practical cloud-native development experience.


* In-depth knowledge of the financial services industry and their IT systems.


* Experience in creating and executing performance and chao...