Lead Software Engineer – Python & AI/ML
Company | JP Morgan Chase |
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Location | Plano, TX, USA |
Salary | $Not Provided – $Not Provided |
Type | Full-Time |
Degrees | |
Experience Level | Senior |
Requirements
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Proven experience in application design & development
- Proficient in Python and Django/flask
- Hands-on in Data Science & AI/ML
- Good understanding of algorithms & data structure
- Ability to translate business offering to technical specifications and articulating the business impact of change.
- Hands-on experience with deploying applications to Kubernetes platform, and is good with troubleshooting the applications on cloud
- Proactive in researching new technologies for solving the business problems at hand, especially in python and javascript ecosystems.
- Fluent with data-visualization library d3.js, to be able to propose multiple ways to visualize the data available and implement custom interactive visualizations to the stake holders as per their business requirements.
- Had exposure to general telemetry patterns implemented in the application code-base, and is well aware of general application monitoring tools like appD, sentry, new-relic etc.
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
Preferred Qualifications
- Basic understanding on Network Technologies
- Exposure to build cloud-native applications