Lead Software Engineer - Python, Java, Scala, AWS
Aumni
Software Engineering
Hyderabad, Telangana, India
Posted on Nov 11, 2025
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking - Data Technology, you are an integral part of an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. As a core technical contributor, you will be responsible for implementing critical technology solutions across multiple technical areas, supporting various business functions to achieve the firm’s business objectives.
Job responsibilities
- Design, develop, and maintain scalable data pipelines and architectures for data processing and integration.
- Build and optimize data systems and infrastructure (e.g., databases, data warehouses, ETL processes).
- Ensure data quality, integrity, and security across all data platforms.
- Collaborate with data scientists, analysts, and business teams to understand data requirements and deliver solutions.
- Implement data governance and best practices for data management.
- Monitor and troubleshoot data pipeline performance and resolve issues.
- Automate repetitive data tasks and processes.
- Document data workflows, architecture, and processes.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with SQL and relational databases (e.g., PostgreSQL, MySQL, Oracle, Snowflake).
- Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka).
- Experience with cloud platforms AWS and data services.
- Knowledge of ETL tools and data integration frameworks.
- Strong problem-solving and analytical skills.
- Excellent communication and teamwork abilities.
Preferred qualifications, capabilities, and skills
- Experience with data modeling and data warehousing concepts.
- Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Understanding of data privacy and compliance regulations.
Carry out critical tech solutions across multiple technical areas as an integral part of an agile team