Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Lead Software Engineer at JPMorgan Chase within the CCB Risk team, and as a part of the Corporate Technology's Machine Learning Operations team, your role will be pivotal in a team that values innovative engineering solutions to address business challenges. Your duties will encompass improving existing systems, developing infrastructure, and reducing workload through automation. You will join a team of curious problem solvers with diverse perspectives who are unafraid to dream big and take risks. In this collaborative, trust-based, and intellectually stimulating environment, you will be encouraged to propose creative solutions that meet the requirements of our global clients.

 Job responsibilities

Design Enterprise Machine Learning platforms that can run predictive models.Document Machine Learning processes and keep abreast of Developments in Machine Learning.Establish standards, guidance and best practices for ML Platform. Deliver high-quality results under tight deadline. Establish the appropriate monitoring and alerting of solution events related to performance, scalability, availability, and reliability.Be accountable for stable production operations, technology lifecycle management with ability to manage teams in a 24X7 environment for high volume and low latency applications. Provides technical leadership, coaching and direction to other team members.Build prototypes for demonstration and illustration purposes for peer groups, Business partners, or senior leaders.Need to have advance knowledge of application, data and infrastructure disciplines.Be passionate about building an innovative culture. Participate in the 24x7 support coverage as needed.Understanding of software skills such as business analysis, development, maintenance, and software improvement and Troubleshoot priority incidents, facilitate blameless post-mortems and ensure permanent closure of incidents.Engage with Tech and Product teams throughout the life cycle to help develop software for reliability and scalability. Solving complex problems with datasets and optimize existing ML libraries and frameworks.Design self-healing and resiliency patterns. Design automated software and product upgrades, change management, and release management solutions.

Required qualifications, capabilities, and skills

Formal training or certification in software engineering concepts and 5+ years of applied experience.5+ years with strong core Java server side hands on development experience including Web services, XML , SOAP, Rest, JMS etc.3+ years of experience with Spring framework (Core, MVC, web services, messaging),  along with 1+ year experience in Cassandra, CQL and Cassandra data modeling.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.Strong experience in Kubernetes, AWS and other cloud platforms. Strong experience in Observability, telemetry and monitoring tools and frameworks.Excellent debugging and trouble shooting skills.

Preferred qualifications, capabilities, and skills

Experience in spring boot and micro service architecture is highly preferred. Experience in banking / financial domain