Senior Lead Software Engineer - Data​/Machine Learning Operations

Job Description

Senior Lead Software Engineer – Consumer and Community Banking Risk Technology Portfolio, JPMorgan Chase.

Be 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 application of deep technical expertise and problem‑solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

• 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.
• Designs and develops large‑scale solutions or platforms using Cloud services (i.e., AWS) in alignment with firm‑wide strategies and security controls.
• Deploys and enables cloud‑based solutions at firm level, supporting complex analytics and day‑to‑day business operations.
• Migrates legacy and big‑data applications to cloud‑native applications with zero downtime.
• Drives decisions that influence product design, application functionality, and technical operations and processes.
• Develops 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 firm‑wide frameworks, tools, and practices of the Software Development Life Cycle.
• Leverages operational skills to develop impactful recommendations on upstream product, processes, or policy improvements that 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.

• Formal training and certification in software engineering and 5+ years of applied experience, including 2+ years leading technologists to manage and solve complex technical items in your domain of expertise.
• Hands‑on practical experience delivering system design, application development, testing, and operational stability.
• Good knowledge of machine‑learning modeling as an engineer.
• Advanced proficiency in one or more programming language(s) and framework(s) (e.g., Python, Java, Big Data, Data pipeline, Machine Learning).
• 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).
• 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 its 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 and tuning Spark queries.
• Understanding of Python machine‑learning libraries and ecosystems (e.g., Pandas, Num Py).
• Working knowledge with Big Data platforms (e.g., Hadoop).
• Experience with cloud technologies (e.g., AWS – Databricks preferred).

We offer a competitive total rewards package including base salary determined by role, experience, skill set, and location. Eligible roles may receive commission‑based pay and/or discretionary incentive compensation in the form of cash and/or forfeitable equity. Benefits include comprehensive health care coverage, on‑site wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching, and more.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans.

Our Corporate Technology team relies on smart, driven people to develop applications and provide tech support for all corporate functions across our network. Your efforts will touch lives across global finance, corporate treasury, risk management, human resources, compliance, legal, and the corporate administrative office. You'll be part of a team specifically built to meet and exceed evolving technology needs and our technology controls agenda.