JPMorgan Software Engineer II - Java Backend 

India, Karnataka, Bengaluru 

354557937

Job responsibilities

• Executes standard software solutions, design, development, and technical troubleshooting
• Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
• Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
• Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
• Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
• Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 2+ years applied experience
• Hands on experience of Databricks and working with Python/Java, PySpark etc. and knowledge of AirFlow preferred.
• Hands-on practical experience in system design, application development, testing, and operational stability
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or Knowledge of multiple RDBMS, Data-warehouses. Expert scripting knowledge (SQL/Shell/Perl).
• Demonstrable ability to code in one or more languages
• Experience across the Spring boot / Micro Services / Kafka / Cassandra & API development.
• Experience in CI/CD (Jenkins). Advanced SQL (e.g., joins and aggregations) and good understanding of NoSQL databases,
• Emerging 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 Databricks Lakehouse, Delta Lake, Delta live Tables (DLT).
• Exposure to cloud technologies