As a Software Engineer III at JPMorgan Chase within the Commercial Investment Banking in Merchant Services/Settlements, you will be at the forefront of transforming the card and payment processing industry with our enterprise-grade suite of applications, including Funding, Ledger, and Settlement Hub. We are dedicated to creating resilient, cloud-native solutions that efficiently manage high volumes. 

We are looking for a passionate and innovative Associate Software Engineer with expertise in Java, Python, and AWS to join our team. In this role, you will be instrumental in developing and maintaining our state-of-the-art applications, utilizing the latest technology stack to ensure scalability and resiliency. If you have a performance engineering mindset and take pride in owning deliverables from start to finish, we want to hear from you!

Job responsibilities: 

Design, develop, and maintain high-performance, scalable, and resilient applications.Collaborate with cross-functional teams to define, design, and ship new features.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.Continuously explore and evaluate new technologies to enhance our technology stack.Look to create patterns and best practices that can be adopted beyond our existing remit making an impact on the organization and engineers within payments.

Required qualifications, capabilities, and skills:

Formal training or certification on software engineering concepts and 3+ years applied experience.Experience in software development, with a focus on building scalable and resilient applications.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.Excellent problem-solving skills and a performance engineering mindset.Ability to work independently and collaboratively in a fast-paced environment.Strong communication skills and a passion for technology.

Preferred Qualifications, Skills, and Capabilities: 

Proficiency in Java, Python, PySpark, AWS, Kafka and SQLStrong understanding of OOP & SOA principles, design patterns, industry best practicesExperience with event-driven architectures and tools, data mesh architecture, data ingestion pipelines, workflow orchestration, containerizationAbility to drive requirement refinement with product and stakeholders