As a Lead Software Engineer, you'll develop and deliver innovative technology solutions within the AI/ML and Data Platform team. Responsibilities include building secure, high-quality production code, troubleshooting technical issues, automating stability improvements, and leading architectural evaluations with teams and vendors.
Job Description
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 AI/ML and Data Platform team, 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 applied experience
- Experience in developing complex distributed systems using Java (versions 11/17) on AWS.
- In-depth knowledge of AWS products/services and Kubernetes/container technologies for optimal workload usage.
- Understanding of established patterns, including stability patterns/anti-patterns, event-based architecture, CQRS, and process orchestration.
- Practical experience in deploying applications on AWS across multi-AZ, multi-region, and multi-cloud vendor environments.
- Proven experience in designing architectures that align with business engineering teams' needs for application development.
- Excellent grasp of modern engineering practices to leverage the benefits of Public Cloud, such as auto-scaling.
Preferred qualifications, capabilities, and skills
- Knowledge of the financial services industry and their IT systems
- Familiarity with Big Data technologies like Spark/Iceberg is a plus.
- Cloud native experience
Top Skills
Java
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