JPMorgan Chase in Commercial Investment Banking in Merchant Services/Settlements is looking to transform the card and payment processing industry with their enterprise-grade suite of applications, including Funding, Ledger, and Settlement Hub, by creating resilient, cloud-native solutions that efficiently manage high volumes.
Requirements
- Proficiency in Java, Spring Boot, Python, and cloud platforms like AWS.
- Experience with containerization and orchestration tools such as Docker and Kubernetes.
- Familiarity with data processing frameworks like PySpark and messaging systems like Kafka.
- Strong understanding of relational databases, particularly PostgreSQL and RDS.
- Proficiency in Java, Python, PySpark, AWS, Kafka and SQL
- Strong understanding of OOP & SOA principles, design patterns, industry best practices
- Experience with event-driven architectures and tools, data mesh architecture, data ingestion pipelines, workflow orchestration, containerization
Responsibilities
- Design, develop, and maintain high-performance, scalable, and resilient applications.
- Utilize cloud-native technologies such as AWS, Kubernetes (K8s), EKS, and ECS to build and deploy applications.
- Implement data processing solutions using PySpark, Kafka, and Snowflake.
- Develop backend services using Java, Spring Boot, and Python.
- Work with relational databases such as RDS and PostgreSQL to ensure data integrity and performance.
- Participate in code reviews, testing, and performance tuning to ensure high-quality deliverables.
- Embrace a DevOps culture by automating deployment and monitoring processes.
Other
- Collaborate with cross-functional teams to define, design, and ship new features.
- Ability to work independently and collaboratively in a fast-paced environment.
- Strong communication skills and a passion for technology.
- Excellent problem-solving skills and a performance engineering mindset.
- Ability to drive requirement refinement with product and stakeholders
