Lead Software Engineer - Sr. AWS/Full Stack Java Developer

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 Consumer and Community Banking in the AE DEV Practices and Release Eng 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.

Consumer and Community Banking Robotics & Intelligence is a team rewarded with innovators who love technology as much as you do.

Together, you'll use a disciplined, innovative and a business focused approach to develop a wide variety of high-quality Developer products and solutions for Chase's Digital Organization.

You'll work in a stable, resilient and secure operating environment where you-and the products you deliver-will thrive.

Job responsibilities


* Design, Develop, and Operate solutions for a cloud computing platform encompassing private and public clouds, at scale.

Bake in attributes of security, auditability and observability into the platform


* Define and build value-add services on the platform using cloud-native principles and help evangelize and adopt cloud to an eco-system of developers in the technical community


* Create technical design for development and integration of new software and system technologies as well as participate in software and system performance analysis and tuning, service capacity planning and demand forecasting


* Drive technical innovation and efficiency in infrastructure operations via developing tools and automation


* Adopting cutting-edge technologies and creating best-of-breed solutions by researching and evaluating alternate solutions


* Intelligent Software Bots" that detect anomalies in product features & behavior through machine learning & modeling of real-world customer behavior as training data


* "Intelligent sensors" that monitor how our product eco-system and infrastructure is behaving in every aspect (no dark corners), and delivers signals via data stream.


* "Real-time machine learning anomaly detection models" that process massive amounts of sensor data to detect minute degradations.


* "Developer Tools & Visualizations" that facilitate rapid deployment of new features by providing access to extremely user-friendly developer efficiency tools, personas, product configuration scripts, and bot infrastructure to facilitate gaining confidence to deploy code extremely quickly


* Participate in the development of new product offerings and innovation to make our products great and decrease our time to market for new features.


* Our tech stack changes with our needs, but currently we are using: ELK (ElasticSearch, LogStash, Kafka), Cassandra, Kubernetes/Docker, ZooKeeper/consul, VMWare ESX, chef, puppet, terraform, Jenkins, and vault.

Required qualifications, capabilities, and skills


* Formal training or certification on software ...