Senior Lead Software Engineer - Data / Machine Learning Operations

JPMorgan Chase & Co.; Plano (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading financial institution is seeking a Senior Lead Software Engineer to drive technology innovations within the Consumer and Community Banking - Risk Technology Portfolio team. The role emphasizes developing secure, scalable solutions using cloud services like AWS. Candidates should have over 5 years of experience in software engineering, with proven leadership in complex technical projects. The ideal applicant will possess advanced programming skills and knowledge of Machine Learning, contributing significantly to team success and operational excellence.

Qualifications

• 5+ years applied experience in software engineering.
• 2+ years experience leading technical teams.
• Advanced knowledge in software, data, and infrastructure architecture.
• Good knowledge of Machine Learning as an engineer.
• Experience with cloud-native development.

Responsibilities

• Provides technical guidance to support business and technical teams.
• Develops secure and high-quality production code.
• Design and develop large-scale solutions using Cloud services.
• Deploy cloud-based solutions for complex analytics.
• Migrate legacy applications to cloud-native applications.

Skills

Formal software engineering training

5+ years applied experience

Machine Learning modeling

Skill in Python

Skill in Java

Knowledge of cloud services

Education

Bachelor's degree in Computer Science, Computer Engineering, Mathematics, or related field

Tools

AWS

Spark

Hadoop

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 - 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 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

Preferred qualifications, capabilities, and skills

• 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)