We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorganChase within the Consumer & Community Banking Card 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problemsDevelops secure high-quality production code, and reviews and debugs code written by othersLead a high‑performing engineering team building and operating cloud‑native data platforms that ingest, process, and serve large‑scale batch and streaming dataOwn end‑to‑end delivery for data warehousing and multi‑terabyte to petabyte‑scale migration initiatives, ensuring reliability, performance, security, and cost efficiencyProvide technical leadership across Java, Python, Spark, Snowflake, and AWS, while driving strong Agile practice, CI/CD automation, and operational excellenceFoster a culture of ownership, collaboration, psychological safety, and continuous learningOwn multi‑workstream roadmaps; plan releases, define milestones, track progress, and remove blockers to hit scope, schedule, and quality targetsCreate detailed estimates and work breakdown structures, manage dependencies, risks, and stakeholder expectationsDefine and evolve data platform architecture for batch and streaming use cases (event‑driven, microservices, warehouse patterns)Lead large‑scale data migration (on‑prem to cloud), data profiling, reconciliation, lineage, quality (e.g., deduplication, schema validation), and backfills
Define SLAs; implement monitoring/alerting; lead incident response, root cause analysis, and continuous improvement
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experienceHands-on practical experience delivering system design, application development, testing, and operational stabilityProficiency in automation and continuous delivery methodsProficient in all aspects of the Software Development Life CycleAdvanced understanding of agile methodologies such as CI/CD, Application Resiliency, and SecurityDemonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)8+ years hands-on practical experience in system design, application development, testing and operational stability and CI-CD processHands-on practical experience in developing spark-based Frameworks for end-to-end ETL, ELT & reporting solutions using key components like Spark Core & Spark StreamingStrong coding in one or more languages (Java or Python) Experience building Data Warehouse platformCloud 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 BridgeData De/Serialization: Expertise in at least 2 of the formats: Parquet, Iceberg, AVRO, JSONAWS Data Security: Good Understanding of security concepts such as: Lake formation, IAM, Service roles, Encryption, KMS, Secrets Manager Preferred qualifications, capabilities, and skillsExperience in Snowflake and Databricks Experience in Gen AI skills In-depth knowledge of the financial services industry and their IT systems