JPMorgan Lead Software Engineer - Python Pyspark Databricks 

India, Maharashtra, Mumbai 

577737699

Job responsibilities:

• Participate in all aspects of the software development process including, requirements, designing, coding, unit testing, quality assurance, and deployment.
• Use the right mix of open-source technologies and home-grown distributed commuting frameworks to build software that meets the requirements.
• Contributes to team drive for continual improvement of development process and innovative solutions to meet business needs.
• Ensure adherence to architecture standards, application robustness and security policies.
• 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.
• Use the agile software development methodologies such as SCRUM, for quick turnaround time
• Manage team of software engineers and build high performing/winning team.
• Adds to team culture of diversity, equity, inclusion, and respect.

Required qualifications, capabilities, and skills:

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands on development experience in Python or PySpark, cloud or microservices architecture concepts
• Demonstrated knowledge of software applications and technical processes within a cloud or microservices architecture.
• Hands-on practical experience in system design, application development, testing, and operational stability
• Helping to identify opportunities for improvement within the existing applications to increase stability and simplify the platform
• Working with a team of engineers and developers to ensure that the Capital Risk platform is engineered to be standardized, optimized, available, reliable, consistent, accessible and secure to support business and technology needs
• Providing operational excellence through root cause analysis and continuous improvement
• Staying current and informed on emerging technologies and new techniques to refine and improve overall delivery
• Interacting with partners across feature teams to collaborate on reusable services to meet solution requirements

Preferred qualifications, capabilities, and skills:

• Exposure to cloud technologies (Airflow, Astronomer, Kubernetes, AWS, Spark, Kafka)
• Experience with Big Data solutions (e.g. Databricks) or Relational DB.
• Experience in Financial Service Industry is nice to have.