Senior Lead Software Engineer - Data​/Machine Learning Operations

Senior Lead Software Engineer - Data / Machine Learning Operations

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Be an integral part of an agile team that constantly pushes the envelope to enhance, build, and deliver top‑notch technology products. As a Senior Lead Software Engineer in the Consumer and Community Banking – Risk Technology Portfolio team, you will enhance, build, and deliver trusted market‑leading technology products securely, stably, and  will drive significant business impact through your deep technical expertise and problem‑solving methodologies, tackling a diverse array of challenges that span multiple technologies and applications.

• Provide technical guidance and direction to support the business, its technical teams, contractors, and vendors.
• Develop secure and high‑quality production code, review and debug code written by others.
• Design and develop large‑scale solutions or platforms using cloud services (e.g., AWS) in alignment with firm‑wide strategies and security controls.
• Deploy and enable cloud‑based solutions at the firm level, supporting complex analytics and day‑to‑day business operations.
• Migrate legacy and big data applications to cloud native applications with zero downtime.
• Drive decisions that influence product design, application functionality, and technical operations and processes.
• Develop solutions or tools to monitor, provision components for automation or processes, services, and reports.
• Advocate firmwide frameworks, tools, and practices of the Software Development Life Cycle within the engineering community.
• Develop impactful recommendations on upstream product, processes, or policy improvements that optimize the user experience.
• Influence peers and project decision‑makers to consider the use and application of leading‑edge technologies.
• Add to the team culture of diversity, opportunity, inclusion, and respect.

• Formal training and certification on software engineering concepts and 5+ years applied experience. 2+ years 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 proficiency in one or more programming languages/frameworks (e.g., Python, Java, Big Data, Data Pipeline, Machine Learning).
• Advanced knowledge of software applications and technical processes, with deep expertise in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile).
• Advanced knowledge of application, data, and infrastructure architecture disciplines.
• Experience in software development, OOP, 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.

• AWS certifications (e.g., Solutions Architect Associate).
• Knowledge of RAG architectures and exposure to AI/automation technologies that improve operations.
• Experience building data pipelines in Spark, tuning Spark queries.
• Understanding of Python machine learning libraries and ecosystems (e.g., Pandas, Num Py).
• Working knowledge of big data platforms (e.g., Hadoop).
• Experience with cloud technologies (e.g., AWS – Databricks preferred).

JPMorgan

Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the…