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Chase · 16 hours ago

Senior Lead Software Engineer - Data / Machine Learning Operations

8181 Communications Pkwy Bldg F, Plano, TX, 75024, US

Full-time

Onsite

Senior Level, Lead/Staff

7+ years exp

JPMorgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers and businesses. As a Senior Lead Software Engineer, you will be part of an agile team that enhances and delivers technology products in a secure and scalable manner while driving significant business impact through your technical expertise.

BankingFinancial Services

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

Qualification

Machine LearningCloud Services (AWS)Programming LanguagesSoftware Engineering CertificationData PipelineBig DataSoftware Development Life CycleOOPSFinancial Services KnowledgeCloud Native ExperienceAI/Automation TechnologiesPython LibrariesHadoop

Required

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