JPMorgan Software Engineer III - Java-Python AWS 

United States, Illinois, Chicago 

612707070

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 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
• Ability to drive requirement refinement with product and stakeholders