Sr Lead Software Engineer - F and O Execution Data Team

• We design and develop robust, scalable data pipelines and streaming applications using Java and Apache Kafka.
• We integrate with the cloud by implementing and managing data solutions on AWS, including S3, Lambda, EC2, RDS, and Glue.
• We process data at scale by developing ETL processes for batch and real-time data ingestion, transformation, and storage.
• We optimize performance by monitoring, troubleshooting, and tuning data flows to ensure reliability and efficiency in a low-latency environment.
• We collaborate cross-functionally with data scientists, analysts, and fellow engineers to understand requirements and deliver production-grade solutions.
• We document data flows, architecture, and operational procedures.
• We uphold security and compliance by ensuring our data solutions adhere to firm security, privacy, and regulatory standards.
• We use enterprise-authorized AI capabilities within the work environment to accelerate data platform and design analysis and technical documentation, while validating outputs and handling data according to sensitivity and security requirements.
• We apply reuse-first, AI-assisted practices within delivery and operational routines, supporting validation automation and access control review, while maintaining traceability, auditability, resiliency, and security expectations.

Technologies:

• AI
• AWS
• Lambda
• Big Data
• CI/CD
• Cloud
• EC2
• ETL
• Git
• Java
• Kafka
• NoSQL
• Python
• SQL
• Security
• Backbone
• Docker
• Support
• Kubernetes
• Scala

• We require a Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or a related technical field.
• We require experience in data engineering and software development roles.
• We require strong proficiency in Java, including core and advanced concepts.
• We require hands-on experience with Apache Kafka, including producers, consumers, and stream processing.
• We require solid working knowledge of AWS cloud services, including S3, Lambda, EC2, RDS, and Glue.
• We require proficiency in Python.
• We require practical experience with ETL tools and data pipeline frameworks.
• We require experience with SQL and NoSQL databases.
• We require experience in data modelling, data warehousing, and big data technologies.
• We require experience with CI/CD practices and version control, such as Git.
• We require strong problem-solving and analytical skills.
• We require excellent communication and teamwork abilities.

We are J.P. Morgan, a global leader in financial services providing strategic advice and products to corporations, governments, wealthy individuals, and institutional investors. Our Commercial & Investment Bank is a global leader across banking, markets, securities services, and payments, supporting clients in more than 100 countries. We value our people as our strength and are committed to diversity, inclusion, and equal opportunity. We also provide reasonable accommodations for applicants and employees with religious practices and beliefs, as well as mental health or physical disability needs.