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JPMorganChase

Software Engineer III - Python/Java, AWS, Spark, Big Data

Posted 2 Days Ago
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Hybrid
Bengaluru, Bengaluru Urban, Karnataka
Mid level
Hybrid
Bengaluru, Bengaluru Urban, Karnataka
Mid level
As a Software Engineer III, design and deliver technology solutions, create production code, analyze large data sets, and improve system architecture.
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Job Description
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
Job Summary
As a Software Engineer III at JP Morgan Chase within the Corporate Sector within Consumer and Community Banking Risk, you design and deliver trusted technology products in a secure, stable, and scalable way. You are responsible for implementing critical technology solutions across multiple technical areas to support the firm's business objectives.
Job Responsibilities
  • Execute software solutions, design, development, and technical troubleshooting to build solutions or break down technical problems
  • Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems
  • Produce architecture and design artifacts for complex applications, ensuring design constraints are met by software code development
  • Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets to improve software applications and systems
  • Proactively identify hidden problems and patterns in data to drive improvements to coding hygiene and system architecture
  • Contribute to software engineering communities of practice and events that explore new and emerging technologies

Required Qualifications, Capabilities, and Skills
  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Proficient in coding in Java, Python, or Scala
  • Experience in developing, debugging, and maintaining code in a large corporate environment with modern programming languages and database querying languages
  • Experience with data storage solutions, including SQL and NoSQL databases
  • Solid understanding of agile methodologies such as CI/CD, resiliency, and security
  • Demonstrated knowledge of deploying, scaling, and managing ML models in production environments

Preferred Qualifications, Capabilities, and Skills
  • Relevant certifications in cloud platforms (e.g., AWS Machine Learning, DevOps, Certified Kubernetes Administrator/Developer)
  • Familiarity with modern front-end technologies
  • Exposure to cloud technologies
  • Experience with MLOps, Spark, and Big Data

Top Skills

AWS
Big Data
Java
NoSQL
Python
Scala
Spark
SQL

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