Senior Lead Software Engineer

Bring your engineering skills to the next level where your expertise will drive the development of cutting-edge Data, Analytics, and AI/ML Platforms.

As a Senior Lead Software Engineer at JPMorgan Chase within the Commercial and Investment - Data & Analytics Platforms Engineering 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.

In this role you will drive significant business impact through your capabilities and contributions and apply deep technical ability and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities


* Implements and builds firm-wide Data and AI platforms on cloud/on-premise with distributed computing and emerging technologies.


* Develops secure and high-quality production code, and review and debug code written by others.


* Contributes through the full software development lifecycle, including architecture, proofs of concept, prototyping, development, rollout, and support.


* Prioritizes solving customer requests and issue reports and take part in support coverage.


* Actively contributes to the engineering community as an advocate of firm-wide frameworks, tools, and practices of the Software Development Life Cycle.


* Collaborates with cross-functional teams to align platform capabilities with business needs and strategic goals.

Required qualifications, capabilities, and skills


* Formal training or certification on software engineering concepts and 5+ years applied experience


* Hands-on professional experience in building complex/large-scale Data and AI Platforms in both private and public cloud environments (e.g., AWS).


* Degree in Computer Science, Computer Engineering, Mathematics, or a related technical field.


* Advanced knowledge of software applications and technical processes with considerable in-depth knowledge of application, data, cloud, and infrastructure architecture disciplines.


* Advanced hands-on skills in Java and/or Python programming.


* Extensive hands-on experience with Databricks/Unity Catalog, Snowflakes, AWS RedShift, AWS Athena, Glue, Lakeformation, Kafka, PostgreSQL, and NoSQL (Cassandra, MongoDB).


* Hands-on experience with DevOps (CI/CD) practices, including Terraform; Containers and cloud ability, including Docker, Kubernetes, etc.


* Ability to tackle design and functionality problems independently.

A self-starter who thrives in a fast-paced, agile setting.


* Clear and effective verbal and written communication skills and the ability to communicate seamlessly across business, product, tech and data scientist teams.

Preferred qualifications, capabilities, and skills



* Hands-on experience in building ETL/Data Pipeline and data platforms (e.g., Databricks, Spark/Hadoop, and Snowflake).


* Knowledge of workflow or...