Sr Lead Software Engineer - Python/Java, Cloud, Data

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorgan Chase within the Technology Division, 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. Promote 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 in Software Engineering concepts and 5+ years applied experience.
• Hands-on and proficient in coding in one or more languages eg. Java, Python , C/C++, C#
• Hands-on practical experience in system design, application development, testing, and operational stability on AWS, Azure, GCP with focus on services, compute & data technologies
• Experience in large scale data processing, using micro services, API design, Kafka, Redis, MemCached,
• Observability (Datadog, Splunk, Grafana or similar), Orchestration (Airflow, Temporal)
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages with good overlap of application & DB.
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, bigdata, data platforms). Working knowledge of OLAP & OLTP databases
• Ability to tackle design and functionality problems independently with little to no oversight
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field

Preferred qualifications, capabilities, and skills

• Experience in Data engineering, Databricks, ETL, DataMesh, DataLake