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 Consumer & Community Banking Rewards Team, 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, equity, inclusion, and respect
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Required qualifications, capabilities, and skills
- Formal training or certification in software engineering concepts and 5+ years applied experience.
- Hands-on practical experience in system design, application development, testing and operational stability.
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying language.
- Hands-on practical experience in developing spark-based Frameworks for end-to-end ETL, ELT & reporting solutions using key components like Spark Core & Spark Streaming.
- Proficient in coding in one or more Coding languages - Java or Python
- Experience building Data Warehouse platform.
- Experience on ETL Reverse Engineering, Data Governance and Data Model concept nice to have.
- Cloud implementation experience with AWS including:
- AWS Data Services: Proficiency in Lake formation, Glue ETL (or) EMR, S3, Glue Catalog, Athena, Airflow (or) Lambda + Step Functions + Event Bridge
- Data De/Serialization: Expertise in at least 2 of the formats: Parquet, Iceberg, AVRO, JSON
- AWS Data Security: Good Understanding of security concepts such as: Lake formation, IAM, Service roles, Encryption, KMS, Secrets Manager
Preferred qualifications, capabilities, and skills
- Experience in Snowflake nice to have.
- Proficiency in automation and continuous delivery methods.
- Proficient in all aspects of the Software Development Life Cycle.
- Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security.
- In-depth knowledge of the financial services industry and their IT systems. Practical cloud native experience preferably AWS.
- Experience on leading and managing team members.