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 JPMorganChase within the Corporate Risk Technology, you are an integral part of an agile team that works to design, build, enhance and deliver advanced data engineering solutions and trusted market-leading technology products in a secure, stable, and scalable way.
Job responsibilities
Lead the design and development of secure, high-quality production code for data-intensive applications; review and mentor other engineers
Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
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
Influences leaders and stakeholders across business, product, and technology teams
Adds to the team culture of opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
Strong proficiency in Engineering, Architecture, AI/ML with hands-on experience in designing, implementing, testing, and ensuring the operational stability of large-scale enterprise data platforms and solutions
Formal training or certification on software engineering concepts and applied experience.
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.)
Experience with modern data technologies such as Databricks or Snowflake.
Knowledge of the financial services industry and their IT systems