JPMorgan Data & Cloud - Senior Lead Software Engineer 

United Kingdom, Scotland 

823082754

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, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability on AWS, Azure, GCP with focus on services, compute & data technologies
• Proficient in coding in one or more languages eg. Java, Python , C/C++, C#
• 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.
• Experience in data platform, data engineering, large scale data processing, ETL, Lake house and experience in micro services, API design, Kafka, Redis, MemCached, Observability (Datadog, Splunk, Grafana or similar), Orchestration (Airflow, Temporal)
• Proficient in SQL and in one or more DBMS: Oracle, PostgreSQL, Sybase, MongoDB, Cassandra, CockroachDB, MySQL, Couchbase, DynamoDB
• 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, artificial intelligence, machine learning, mobile, etc.)

• Knowledge in financial services industry is preferred
• Exposure with AWS cloud is preferred