Lead Software Engineer - Java/Spark/AWS

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 - Java/Spark/AWS at JPMorgan Chase within the AI/ML Data Platforms 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


* Advanced in one or more programming language(s) including Java


* Experience across the data lifecycle spark-based Frameworks for end-to-end ETL, ELT & reporting solutions using key components like Spark SQL & Spark Streaming.

Strong knowledge of multi-threading and high volume batch processing.


* Should be good in performance tuning on for Java/Python and Spark


* 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.


* Good understanding of established patterns, such as stability patterns/anti-patterns, event-based architecture, CQRS and process orchestration.


* Extensive hands-on 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)


* Hands-on practical experience delivering system design, application development, testing, and operational stability

Preferred q...