Senior Lead Software Engineer- Data Engineer, JavaPython

Be an integral part of an agile Engineering & Architecture team thats 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

• • 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