Lead Software Engineer
1 month ago
As a Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking Technology 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. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job 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.
Leads and/or collaborates as part of a global and diverse team.
Adds to the team culture of diversity, equity, inclusion, and respect.
Required qualifications, capabilities, and skills.
BS/MS degree in Computer Science, Engineering, Mathematics, or equivalent experience.
12+ years hands-on software development experience in an Object-Oriented programming language (such as Python, Java, C++) and SQL.
Ability to work in large, collaborative, global teams
Advanced knowledge of software applications and technical processes with in-depth knowledge in one or more technical disciplines (., cloud, artificial intelligence, machine learning, mobile,
Experience in designing and developing highly scalable micro services based applications
In-depth knowledge and experience in at least two of the following areas as well as good understanding of the rest. High throughput, low latency micro service development leveraging AWS services such EKS, ECS, Fargate, ELB, etc. High throughput near real time stream processing with services such Kinesis, Flink, ECS, EKS, etc. High volume feature engineering with services such EMR. Experience leveraging trained model artifacts in newer model architectures and approaches such as neural networks, embeddings, multi arm bandits, etc.
Experienced in agile methodologies
Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives
Experience with Source Code Control Systems such as Git, bitbucket, svn, etc.
Preferred qualifications, capabilities, and skills
Experience with recommendation and personalization systems is a plus.
Proficiency with relational DBs, SQL, RDS.
Experience with development and build tools (or similar): IntelliJ /Eclipse, Maven, Gradle, Sprint Boot, MVC, Spring Cloud
Experience in working with high through put and scalable messaging technologies like Kafka, Kinesis.
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