Senior Lead Software Engineer - Java / Python - Risk Technology Data Strategy

Join us and shape the future of risk technology with your expertise in data engineering and software development.

You will have the opportunity to push boundaries, innovate, and make a meaningful impact on our business.

We value diversity, inclusion, and respect, fostering a collaborative environment where your ideas matter.

career growth and mobility while working with market-leading technology products.

Be part of a team that thrives on creativity and continuous improvement.

As a Senior Lead Software Engineer at JPMorgan Chase within the Data Platform & Strategy team within Corporate Risk Technology, you will design, build, and enhance advanced data engineering solutions.

You will play a pivotal role in delivering secure, stable, and scalable technology products that support our business objectives.

You will collaborate with agile teams, contribute to technical strategy, and drive innovation across multiple technical areas.

Your work will help shape the team culture and the impact of our technology solutions.

• Execute creative software solutions, design, development, and technical troubleshooting to solve complex problems
• Develop secure, high-quality production code for data-intensive applications and review code written by others
• Identify opportunities to automate remediation of recurring issues and improve operational stability
• Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentials
• Drive communities of practice across Software Engineering to promote new and leading-edge technologies
• Foster a team culture of opportunity, inclusion, and respect

• Proficiency in Engineering & Architecture, AI/ML, with hands-on experience designing, implementing, testing, and ensuring operational stability of large-scale enterprise data platforms
• Advanced skills in one or more programming languages such as Java, Python, C/C++, or C#
• Practical experience delivering system design, application development, testing, and operational stability
• Working knowledge of relational and NoSQL databases and data lake architectures
• Experience developing, debugging, and maintaining code with modern programming languages and database querying languages
• Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, Observability tools (Dynatrace, Splunk, Grafana), and Orchestration tools (Airflow, Temporal)
• Proficiency in automation, continuous delivery methods, and all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies, CI/CD, application resiliency, and security
• Practical cloud-native experience

• Experience with modern data technologies such as Databricks or Snowflake
• Hands-on experience with Spark/PySpark and other big data processing technologies
• Demonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial intelligence, machine learning, or mobile
• Knowledge of the financial services industry and their IT systems