What are the responsibilities and job description for the Python Lead Software Engineer position at JPMorgan Chase?
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As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector in Risk Technology space, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Develops secure high-quality production code, and reviews and debugs code written by others
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
- Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
- 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 of applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced knowledge in Python development. Experience in building Microservices using python frameworks on AWS eco systems like EKS, Lambda
- Hands on experience with building data lakes using tools like data bricks, data catalog and data quality tools
- Proficiency in automation and continuous delivery methods
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- In-depth knowledge of the financial services industry and their IT systems
- Practical cloud native experience
Preferred qualifications, capabilities, and skills
- Exposure in Database-related programming (both SQL and No-SQL)
- Familiarity with Application observability and telemetry and tools like Splunk, Elastic Search, Grafana
- Knowledge of Credit Risk and Databricks
