Corporate KYC : Lead Software Engineer- Python/ PySpark

Join us to shape the future of financial technology and make a meaningful impact on millions of customers worldwide. As a Lead Software Engineer at JPMorgan Chase in the Corporate Sector’s agile data engineering team, you will promote the development of a trusted Global Know Your Customer (KYC) and Risk Assessment Data Platform. You will lead across multiple teams, define architecture and engineering standards, and deliver high-impact software that scales. You’ll collaborate with colleagues to implement secure, stable, and scalable solutions, and help shape the team’s culture and technical direction. Your expertise will support the firm’s portfolios and contribute to our ongoing success.

Develop secure, high-quality production code for data-intensive applications and platforms Review code and mentor engineers to foster growth and excellence Create durable, reusable software frameworks and patterns for use across teams Drive adoption of advanced technical methods and industry-standard practices Advise cross-functional teams on technological matters within your domain Apply knowledge of tools within the Software Development Life Cycle, including AI-assisted development and automation Enhance automation at scale to improve value and efficiency Lead architectural decisions and engineering practices across multiple teams Collaborate with stakeholders to deliver impactful solutions Champion best practices in software development and data engineering Support a culture of innovation, inclusion, and continuous improvement Required qualifications, capabilities, and skills Hands-on experience delivering system design, application development, testing, and operational stability at enterprise scale Expertise in Python and/or PySpark Advanced knowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineering Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal) Advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures, and data governance Practical cloud-native experience (AWS, Azure, or GCP) Ability to present and communicate effectively with senior leaders and executives Commitment to inclusive, collaborative teamwork Strong problem-solving and analytical skills Adaptability in a fast-paced environment Focus on delivering secure and scalable solutions Preferred qualifications, capabilities, and skills Experience with modern data platforms such as Databricks or Snowflake Deep hands-on experience with Spark/PySpark and other big data processing technologies Expertise in open-source table formats and catalog services such as Apache Iceberg Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI) Familiarity with emerging technologies in data engineering Ability to drive innovation and continuous improvement Passion for mentoring and developing others Employer Description JPMorganChase, 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 offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range