Description Be an integral part of an agile Engineering & Architecture team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JP Morgan Chase within the Corporate Risk Technology, 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 Drives decisions that influence the product design, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of focus Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle 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 or certification on software engineering concepts and applied experience. Strong proficiency in Data Engineering, Data Architecture, AI/ML with hands-on experience in designing, implementing, testing, and ensuring the operational stability of large-scale enterprise data platforms and solutions Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s) eg. Java, Python, C/C++ Advanced Working knowledge of Databases/Data Lake/Data Mesh and Data governance. Experience developing, debugging, and maintaining code in a large corporate environment, with expertise in both application and data platforms, using modern programming and database querying languages. Experience in large scale data processing, using micro services, API design, Kafka, Redis, MemCached, Observability ( Dynatrace, Splunk, Grafana or similar), Orchestration (Airflow, Temporal) Ability to tackle design and functionality problems independently with little to no oversight Practical cloud native experience (AWS, Azure, GCP). Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred qualifications, capabilities, and skills Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., data engineering, cloud, artificial intelligence, machine learning etc.) Hands-on experience with Spark/ PySpark and other big data processing technologies Experience with modern data technologies such as Databricks or Snowflake. Knowledge of the financial services industry and their IT systems