As a Lead Software Engineering at JPMorgan Chase within Customer identity and Authentication, you will be leading our cross-regional reference data teams. Your role will involve collaborating with Product, Operations, Business & Technology consumers across the trade life cycle and technology teams to deliver well-engineered solutions to complex business problems. You will be tasked with designing and building software to cater to the needs of Global Instrument Master platform.

Job responsibilities:

• Provide leadership and management of the team providing guidance on best practice and architecture for Global Instrument Master's Architecture, Development and SRE teams.
• Partner with the global leads for the areas to ensure a consistent approach to backlog management and agile process.
• Collaborate with stakeholders to design engineering solutions to complex business problems including collaboration with Ops team to identify opportunities.
• Participate as part of Global Instrument Master's Architecture leadership teams help shape the vision for these platforms and help drive this vision with the India based engineering teams.
• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond conventional approaches to build solutions or break down technical problems.
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.
• Apply deep technical expertise and problem-solving methodologies, to diverse and complex projects of moderate to large scope.
• Provide input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for immediate and broader team.
• Manage multiple stakeholders, complex projects, and large cross-product collaborations.
• Influences peer leaders and senior stakeholders across the business, product, and technology teams.

Required qualifications, capabilities, and skills:

• Formal training or certification on computer science/engineering concepts and 5+ years applied experience.
• Experience in Financial Services Technology space dealing with data.
• Proficient in coding and building microservices in Java, Spring Boot, AWS
• Experience in Databases
• NoSQL - CASSANDRA or Postgres, Kafka
• Hands-on practical experience in system design, application development, testing, and operational stability.
• Expert in Agility practices, SDLC processes, CICD, application resiliency and security.
• Excellent communication and interpersonal skills with prior experience of influencing across matrixed, complex organizations and delivering value.
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages., Strong analytical, logical, and problem-solving skills to provide solution to complex business problems.

Preferred qualifications, skills, and capabilities

• Exposure to AI and ML technologies.
• Experience of cloud technologies.