JPMorgan Senior Lead Software Engineer - AIML Java 

United States, New Jersey, Jersey City 

280864380

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Adds to the team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience in system design, AI full stack development, testing, and operational stability
• Hands on experience with MLOps tools and practices, ensuring seamless integration of machine learning models into production environments.
• Advanced knowledge of software applications and technical processes with considerable experience in data modeling, machine learning, NLP, API etc.)
• Use a range of different technologies and languages (such as Java, JavaScript, HTML, CSS, React) to develop applications
• Proficient in coding in Java based frameworks like Spring boot/Spring.
• Able to design React UI components as per the business requirements.
• Familiar with development tools such as Jenkins, GIT/Bitbucket, Jira, etc.
• Understanding of technologies such as Micro services, Containers, Oracle DB, SQL, NoSQL, Splunk, Dynatrace, Pivotal Cloud Foundry.
• Formal training or certification on applied AIML concepts and applied experience.
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages

• Exposure to working with LLM application and building the necessary models using RAG.
• Understanding of the Application Observability
• SRE concepts like SLI & SLO and Error budget.
• Exposure to PromQL is an added advantage.
• Experience with APIGEE API management system.