Software Engineer II - Java/Python , SQL

JPMorgan Chase; Bengaluru; On-site; INR 900,000 - 1,300,000; Full time

Job summary

JPMorgan Chase in Bengaluru seeks a software engineer with 2+ years of experience to implement standard software solutions and develop secure code in Java or Python. You will use enterprise AI coding tools to enhance quality and speed, while ensuring outputs pass peer review, testing, and secure coding standards.

The role emphasizes system-wide thinking, data analysis, and adherence to SDLC practices for reliable, scalable applications.

Qualifications

• Formal training or certification in software engineering concepts.
• 2+ years of applied software development experience.
• Experience in system design, development, testing, and operational stability.
• Proficient in Java or Python coding.
• Strong SQL knowledge across Oracle, PostgreSQL, SQL Server, and caching technologies.
• Experience in enterprise environments with modern programming languages and DB querying.
• Understanding of the Software Development Life Cycle.
• Experience using enterprise AI-assisted development tools and evaluating AI outputs for correctness, security.

Responsibilities

• Executes standard software solution, design, development, and technical troubleshooting.
• Writes secure and high-quality code with limited guidance.
• Leverages AI coding assist tools to improve code quality, delivery speed, and productivity with peer review and testing.
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems.
• Applies SDLC toolchain knowledge to improve automation value.
• Troubleshoots technical problems of basic complexity.
• Analyzes large data sets to identify problems and aid decision-making for secure, stable apps.
• Learns and applies processes for secure, stable code and systems.

Skills

Java/Python coding

System design

AI tooling

SDLC knowledge

Secure coding

Education

Software engineering certification

Job description

Job responsibilities

• Executes standard software solution, design, development, and technical troubleshooting


• Writes secure and high-quality code using the syntax of at least one programming language with limited guidance


• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.


• 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, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation


• Applies technical troubleshooting to breakdown 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

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 2+ years applied experience


• Hands-on practical experience in system design, application development, testing, and operational stability


• Proficient in coding ( Java or Python)


• Strong knowledge of relational databases/ Transact SQL and caching technologies (Oracle/Postgres/SQL Server/elastic etc)


• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages


• Overall knowledge of the Software Development Life Cycle


• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.


• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.

Preferred qualifications, capabilities, and skills

• Exposure to cloud technologies (e.g. AWS, Databricks, Snowflake)


• Business Intelligence Tools (Tableau/Business Objects/ThoughtSpot)


• Kafka Messaging


• Good to have -Knowledge of Databricks


• Scala, Apache Spark