Lead Software Engineer

will get to influence design, development, test and deploy exciting applications and cloud-native microservices, transforming the business processes and user experience for JPM's Customer Acquisition and Marketing Platform.

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems

• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems

• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development

• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems

• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

• Contributes to software engineering communities of practice and events that explore new and emerging technologies

• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years of applied experience including DevOps and/or FinOps in a cloud environment.

• Hands-on practical experience in system design, application development, testing, and operational stability

• Proficient in coding in one or more languages

• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages

• 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.)

• In-depth knowledge of the financial services industry and their IT systems

• Very good communication & Presentation skills with an ability to articulate technical matters to a broad audience.

• Practical cloud deployment experience in AWS Cloud services and native data technologies such as AWS EMR, Glu, Lambda, MSK, RDS, Document DB, EC2, EKS etc.

Preferred qualifications, capabilities, and skills

• Understanding of database design concepts (Pluggable DB's) and data modeling for relational or nonrelational databases such as RDBMS (Oracle/Postgres), No SQL (MongoDB, Cassandra) or NewSql (Cockroach DB) and search DB's like Elasticsearch incorporating multi-master across multi-regions.
• Understanding of data design & modeling principles as well as architecture patterns such as data lake, lakehouse, data mart, data fabric and data mesh with experience in Data migrations and Open/Linked data media types such as RDF, Turtle, JSON-LD will be useful.
• Experience with deploying to public and/or private cloud ideally with multi-cloud experience, ideally Cloud agnostic (Snowflake or another public cloud) and Active/Active across region designs, AWS Solution Developer, DevOps, FinOps Certificates etc. is a plus.
• Experience in one or more big data processing frameworks such as Spark, Flink, Storm etc. with stream processing experience using Kafka.