Senior Lead Software Engineer - Data / Machine Learning Operations

JPMorganChase•Plano, TX

About The Position

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 - Risk Technology Portfolio 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.

Requirements

Formal training and certification on software engineering concepts and 5+ years applied experience. In addition, 2+ years of experience leading technologists to manage and solve complex technical items within your domain of expertise
Hands-on practical experience delivering system design, application development, testing, and operational stability
Good knowledge of Machine Learning modelling as an engineer
Advanced in one or more programming language(s) and framework(s) (i.e., Python, Java, Big Data, Data pipeline, Machine Learning, etc.)
Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Advanced knowledge of application, data, and infrastructure architecture disciplines
Working experience in software development, OOPS and SDLC
Ability to tackle design and functionality problems independently with little to no oversight
Knowledge of the financial services industry and their TI systems
Practical cloud native experience
Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field

Nice To Haves

AWS certifications (e.g. Solutions Architect Associate)
Knowledge of RAG architectures and exposure to AI/Automation technologies that improve operations
Experience with building Data Pipelines in Spark, Tuning Spark queries
Understands Python Machine Learning libraries and ecosystems (i.e., Pandas, Numpy, etc.)
Working knowledge with Big Data platforms (i.e., Hadoop preferred)
Experience in Cloud Technologies (i.e., AWS - Databricks preferred)

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
Design and develop large-scale solutions or platforms using Cloud services (i.e. AWS) in alignment with the firm wide strategies and security controls
Deploy and enable cloud based solutions at firm level, supporting complex analytics and day to day business operations
Migrate legacy an big data applications at Cloud native applications with zero downtime
Drives decisions that influence the product design, application functionality, and technical operations and processes
Develop solutions or tools to monitor, provision components for automation or the processes, services, and reports
Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
Leverage your strong operational skills to develop impactful recommendations on upstream product, processes, or policy improvements that will optimize the user experience
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