Senior Lead Software Engineer - Data / Machine Learning Operations

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.

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


* 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

Required qualifications, capabilities, and skills


* 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 infrastructu...