As a Sr. Lead Software Engineer at JPMorgan Chase within the Capital Reporting product, you will have the opportunity to work on innovative projects and contribute to solving complex problems. You will be part of an inclusive and respectful team environment, where you can enhance your skills in Python, PySpark, and cloud architecture. This role offers immense growth potential and a chance to work with cutting-edge technologies. **Key Responsibilities:**
Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine approaches
Produce architecture and design artifacts for complex applications, ensuring design constraints are met by software code development
Proactively identify hidden problems and patterns in data to drive improvements to coding hygiene and system architecture
Contribute to software engineering communities of practice and events exploring new technologies
Foster a team culture of diversity, equity, inclusion, and respect
**Qualifications Required:**
Formal training or certification in Python or PySpark concepts and a minimum of 5 years of applied experience
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
Experience in developing, debugging, and maintaining code in a large corporate environment with modern programming languages and database querying languages
Overall understanding of the Software Development Life Cycle
Solid grasp of agile methodologies such as CI/CD, Applicant Resiliency, and Security
**Preferred Qualifications:**
Exposure to cloud technologies like Airflow, Astronomer, Kubernetes, AWS, Spark, and Kafka
Experience with Big Data solutions or Relational DB
Experience in the Financial Service Industry is a plus. As a Sr. Lead Software Engineer at JPMorgan Chase within the Capital Reporting product, you will have the opportunity to work on innovative projects and contribute to solving complex problems. You will be part of an inclusive and respectful team environment, where you can enhance your skills in Python, PySpark, and cloud architecture. This role offers immense growth potential and a chance to work with cutting-edge technologies. **Key Responsibilities:**
Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine approaches
Produce architecture and design artifacts for complex applications, ensuring design constraints are met by software code development
Proactively identify hidden problems and patterns in data to drive improvements to coding hygiene and system architecture
Contribute to software engineering communities of practice and events exploring new technologies
Foster a team culture of diversity, equity, inclusion, and respect
**Qualifications Required:**
Formal training or certification in Python or PySpark concepts and a minimum of 5 years of applied experience
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
Experience in developing, debugging, and maintaining code in a large corporate environment with modern programming languages and database querying languages
Overall understanding of the Software Development Life Cycle
Solid grasp of agile methodologies such as CI/CD, Applicant Resiliency, and Security
**Preferred Qualifications:**
Exposure to cloud technologies like Airflow, Astronomer, Kubernetes, AWS, Spark, and Kafka
Experience with Big Data solutions or Relational DB
Experience in the Financial Service Industry is a plus.
