Senior Software Engineer - Python, AWS, Snowflake

JP Morgan Services India Pvt Ltd; Hyderabad; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

JPMorganChase in Hyderabad is seeking a Software Engineer III to design and deliver secure, scalable technology products within the Consumer and Community Banking line of business. You will contribute as a seasoned member of an agile team, building robust systems and data-driven solutions in a large corporate environment.

You will write high-quality code in Python or Java, work with AWS and Snowflake, and participate in CI/CD, security practices, and performances optimization.

Qualifications

• 3+ years of hands-on software engineering experience.
• Proficient in Python or Java with strong coding practices.
• Experience with AWS and Snowflake in a large corporate environment.
• Familiar with CI/CD, application security, and resilient systems.
• Experience with AI-assisted development tools is mentioned in the ad.

Responsibilities

• Develop secure, high-quality code and contribute to scalable tech products.
• Collaborate in an agile team to design and deliver solutions.
• Troubleshoot and optimize data-driven applications across environments.

Skills

Python

Java

CI/CD

Agile methodologies

Tools

AWS

Snowflake

Databricks

Job description

Software Engineer III - Python, Pyspark, AWS, Snowflake

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorganChase within the Consumer and Community Banking Line-of-Business, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

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 and 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 Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness 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

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 using Python/Java, AWS and Snowflake Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. Demonstrable ability to code in one or more languages Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) 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

• Familiarity with modern front-end technologies Familiarity with Databricks or Icerberg Exposure to cloud technologies

Experience Level Senior Level