DescriptionBe an integral part of an agile team thats constantly pushing the envelope to enhance build and deliver topnotch technology products.
As a Senior Lead Software Engineer at JPMorgan Chase within the CIB Data & Analytics Platform and Engineering team you are an integral part of an agile team that works to enhance build and deliver trusted marketleading technology products in a secure stable and scalable way. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problemsolving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities
- Implements and delivers engineering solutions/tools and data products using cloud and onpremises data distributed computing and emerging technologies.
- Develops secure and highquality production code and reviews and debugs code written by others.
- Contributes through the full software development lifecycle including architecture proofs of concept prototyping development rollout and support.
- Prioritize solving customer requests and issue reports participate in support coverage
- Actively contributes to the engineering community as an advocate of firmwide frameworks tools and practices of the Software Development Life Cycle
- Adds to the team culture of diversity equity inclusion and respect
Required qualifications capabilities and skills
- Formal training or certification on Computer Science / Engineering concepts and 5 years hands on professional experience in building complex software systems in both private and public cloud environments (AWS)
- Degree in Computer Science Computer Engineering Mathematics or a related technical field
- Advanced knowledge of software applications and technical processes with considerable indepth knowledge of application data cloud and infrastructure architecture disciplines.
- Advanced hands on skills in Java and or Python programming.
- Strong handson experience with PostgreSQL AWS RedShift Athena Glue Kafka and NoSQL (Cassandra MongoDB).
- Experience with fundamental DevOps practices including CI/CD.
- Ability to tackle design and functionality problems independently. A selfstarter and thrive in a fastpaced agile setting.
- Have clear and effective verbal and written communication skills and ability to communicate seamlessly across tech and data scientist teams
Preferred qualifications capabilities and skills
- Excellent problemsolving and analytical skills
- Containers and cloud proficiency including Docker Kubernetes AWS
- Hands on experience in building ETL/Data Pipeline and data lake platforms (e.g. Databricks Spark/Hadoop and Snowflake)
- Knowledge of workflow orchestration tools (e.g. Apache Airflow) integration technologies (e.g. GraphQL REST)
- Experience buildingdeploying Machine Learning models and the ML Lifecycle
- Advanced handon programming with Java
Required Experience:
Senior IC