Job Description
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.
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