Location: New York, NY, United States

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 problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Lead a high‑performing engineering team building and operating cloud‑native data platforms that ingest, process, and serve large‑scale batch and streaming data
• Own end‑to‑end delivery for data warehousing and multi‑terabyte to petabyte‑scale migration initiatives, ensuring reliability, performance, security, and cost efficiency
• Provide technical leadership across Java, Python, Spark, Snowflake, and AWS, while driving strong Agile practice, CI/CD automation, and operational excellence
• Foster a culture of ownership, collaboration, psychological safety, and continuous learning
• Own multi‑workstream roadmaps; plan releases, define milestones, track progress, and remove blockers to hit scope, schedule, and quality targets
• Create detailed estimates and work breakdown structures, manage dependencies, risks, and stakeholder expectations
• Define 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 experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Proficiency in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated 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 process
• 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
• Strong coding in one or more languages (Java or Python) 
• Experience building Data Warehouse platform
• 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

• Experience in Snowflake and Databricks 
• Experience in Gen AI skills 
• In-depth knowledge of the financial services industry and their IT systems