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 JPMorgan Chase within the Corporate Risk, 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job Responsibilities

Design and Implement Enterprise Machine Learning platforms that are capable of running predictive models. Develop web applications with SOA and Microservices architecture using Java/Python Framework Establish the appropriate monitoring and alerting of solution events related to performance, scalability, availability, and reliability. Establish standards, guidance and best practices for ML Platform. Provides technical leadership, guidance and direction to other team members. Build prototypes for demonstration and illustration purposes for peer groups, Business partners, or senior leaders. Integrate with AWS Cloud Services for compute, storage, databases, and security. Develop solutions or tools to monitor, provision components for automation of the processes, services and reports.  Need to have advance knowledge of application, data and infrastructure disciplines. Understanding of software skills such as business analysis, development, maintenance, and software improvement Leverage strong operational skills to develop recommendations on upstream product, process, or policy improvements that will optimize the user experience.  Work closely with the Product team to design, build and deliver capabilities in agile sprints.

Required Qualifications, Capabilities, and Skills

Formal training or certification on software engineering concepts and 5+ years applied experience 5+ years with strong core Java server side hands on development experience including Web services, XML , SOAP, Rest, JMS etc. 1+ year experience in AWS – s3, dynamodb, ECS, EKS, RDS, Lambda, ALB/NL Experience in distributed high-volume transactional system with low latency and high throughput. Experience in performance tuning, code optimization.  Experience in testing frameworks such as Junit, TestNG, Mockito, SoapUI, DBUnit etc. Experience in database technologies -RDBMS, schema design, SQL, queries, joins indexes, JDBC, query optimization etc. Knowledge of build tools like Maven and source control like Git/SVN Comfortable working in an Agile and collaborative environment.

Preferred Qualifications, Capabilities, and Skills

Experience with Spark 1+ Year experience in Python, FastAPI/Django with micro service architecture is highly preferred 3+ years of experience with Spring framework (Core, MVC, web services, messaging), experience in spring boot and micro service architecture is highly preferred.