Software Engineer III - Java-Python - AWS

JPMorgan Chase-posted 4 days ago
$114,000 - $155,000/Yr
Full-time • Mid Level
Chicago, IL
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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!

  • 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.
  • 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.
  • 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
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