Senior Lead Software Engineer
| Company | JP Morgan Chase |
|---|---|
| Location | New York, NY, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior |
Requirements
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Experience building complex distributed systems using Java(11/17) on AWS
- Deep knowledge of AWS product/services and Kubernetes/container technologies and how they are best used for specific workloads.
- Ability to learn new technologies and patterns on the job and apply the same
- Good understanding of established patterns, such as stability patterns/anti-patterns, event-based architecture, CQRS and process orchestration.
- Real world experience in building out applications on AWS across multi AZ, multi region and multi-cloud vendor environments.
- Experience in building out real-world architectures that business engineering teams buy into and build their application around
- An excellent understanding of modern engineering practices to take advantage of key benefits of Public Cloud (e.g. auto-scaling)
- A mindset geared towards a fantastic end-to-end engineering experience supported by excellent tooling and automation
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
Responsibilities
- Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Drives decisions that influence the product design, application functionality, and technical operations and processes
- Serves as a function-wide subject matter expert in one or more areas of focus
- Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
- Influences peers and project decision-makers to consider the use and application of leading-edge technologies
- Adds to the team culture of diversity, equity, inclusion, and respect
Preferred Qualifications
- Good understanding of Big Data stack (Spark/Iceberg)
- Good understanding of established patterns, such as stability patterns/anti-patterns, event-based architecture, CQRS and process orchestration.
- Understanding of AI/ML