JPMorgan Software Engineer III - Data 

India, Karnataka, Bengaluru 

256752881

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification in software engineering concepts with 3+ years of applied experience.
• Hands-on programming/application development experience with JAVA 8, Spring Boot, REST/API.
• Proficiency in SQL/Hibernate, Messaging (MQ & Kafka), application performance testing and tuning, Agile methodologies.
• Experience in Spark, Scala, Python, writing reusable, testable, and efficient code. Experience with at least one search engine (Elastic Search, OpenSearch).
• Experience in building applications with microservices patterns and cloud-native architecture.
• Good knowledge of AWS offerings (S3, EC2, RDS, Terraform, etc.). Proficiency in Docker and Kubernetes.
• Comprehensive understanding of the Software Development Life Cycle.
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Exposure to cloud technologies