Software Engineer II - Java/Python, AWS, Spark, Databricks, Big Data
Aumni
Software Engineering
Hyderabad, Telangana, India
Posted on Jan 28, 2026
You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.
Job summary
As a Software Engineer II at JPMorgan Chase within the Corporate Technology, you are an integral part of an agile team, designing and delivering technology products in a secure, stable, and scalable way, designing and delivering technology products in a secure, stable, and scalable way. You will enhance software components and gain valuable experience to support your career growth.
Job responsibilities
- Execute software solutions, design, development, and technical troubleshooting for applications and systems
- Write secure, high-quality code using at least one programming language
- Design, develop, and troubleshoot with consideration for upstream and downstream technical implications
- Apply tools within the Software Development Life Cycle to improve automation and value
- Gather, analyze, and draw conclusions from large, diverse data sets to support secure, stable application development
- Learn and apply system processes and methodologies for developing 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 experience in system design, application development, testing, and operational stability
- Experience developing, debugging, and maintaining code in a large corporate environment with modern programming and database querying languages
- Ability to code in Java, Scala, or Python
- Experience with Big Data and Apache Spark
- Experience in cloud data processing on AWS EMR
- Experience as a data engineer on Databricks
- Knowledge of the Software Development Life Cycle and exposure to agile methodologies such as CI/CD, application resiliency, and security
Preferred qualifications, capabilities, and skills
- Familiarity with feature engineering, artificial intelligence, and machine learning
- Exposure to modern front-end technologies
- Experience with cloud technologies
- Emerging knowledge of technical processes within a technical discipline
Design and deliver secure, scalable software solutions as a valued member of an agile engineering team