Job Description

JOB DESCRIPTION

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.


As a Senior Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking - Connected Commerce, you are an integral part of an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. Your role involves promoting significant business impact through your capabilities and contributions, utilizing deep technical expertise and problem-solving methodologies to address a diverse array of challenges across 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 Adds to the team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Hands-on experience in system design, application development, and operational stability. Deep knowledge of design, architecture, data modeling, integration, cloud data services, data domain driven design, best practices, and industry trends in engineering and product development Practical experience with AWS, big data technologies, and data engineering disciplines. Advanced experience in one or more data engineering disciplines, e.g. streaming, ETL/ELT, event processing. Proficient in modern technologies such as Kafka streaming, Spark, Python, Java, Cloud, Airflow, Kubernetes Proficiency in SQL and different on-prem databases and other cloud native relational databases, e.g. Aurora, Snowflake, Athena, Postgres, Databricks, Iceberg Strong problem-solving, communication, and interpersonal skills. & Ability to evaluate and recommend technologies for future state architecture.

Preferred qualifications, capabilities, and skills

Experience having been a technical lead/mentor for a team Experience with modern technologies such as Kafka streaming, DBT, Spark, Python, Java, Cloud, Airflow, etc. using data mesh & data lake. Experience with AI/ML technologies Business architecture knowledge and experience with architecture assessment frameworks. Must have an experience working in a team, and ability to tackle design and functionality problems independently with little to no oversight Strong written and oral communication skills; ability to communicate effectively with all levels of management and partners from a variety of business functions

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