Senior Lead Software Engineer - Solution Engineer
JPMorgan Chase4 days ago
Base Salary
$176k - $260k/yr
Responsibilities
- Provide technical guidance and direction to technical teams, contractors, and vendors.
- Develop secure, high-quality production code and review and debug code written by others.
- Drive adoption, governance, and validation standards for AI-assisted engineering practices.
- Own architecture and solutioning for Trust & Security data and integration capabilities from concept through production.
- Design and implement reliable, scalable Kafka streaming solutions with ordering, idempotency, replay, dead-letter queues, and operational readiness.
- Define data contracts, schema registry strategy, schema evolution and compatibility practices, ownership, validation, and freshness and quality expectations.
- Build streaming and batch data publishing patterns for lake and analytical platforms with observability, data quality, lineage, metadata, and access controls.
- Lead solution engineering for Java services and pipelines.
- Architect Cassandra and Oracle data stores and integration patterns.
- Design REST and GraphQL service interfaces and integrations with API and error contracts, SLAs/SLOs, and backward-compatible changes.
- Establish reuse-first patterns and engineering standards across teams and coach engineers on compliant AI-assisted development.
Requirements
- Formal training or certification in software engineering concepts and 5+ years of applied experience.
- Hands-on experience delivering system design, application development, testing, and operational stability.
- Advanced capability in one or more of Java, Kafka, Spark, or Flink.
- Experience combining data architecture and solution engineering in large-scale production environments.
- Hands-on experience with Kafka, lake or data-platform publishing, Cassandra, Oracle, Java services and pipelines, and streaming or processing components.
- Experience with schema registry, data contract design, and data governance.
- Experience building APIs and integrations with REST and GraphQL.
- Strong SDLC discipline including CI/CD, testing strategy, code review, production support, and observability.
- Ability to work independently with little to no oversight and demonstrate strong problem-solving and rapid learning.
- Experience leading enterprise-authorized AI-assisted software development and validating AI outputs for correctness, performance, and security.
- Understanding of responsible AI use, data sensitivity, secure input and output handling, resiliency, and security expectations.
- Preferred experience with Trust & Security domains, Kafka Streams, Flink, Spark Streaming, real-time enrichment and correlation, AI/ML concepts, feature stores, AWS, platform modernization, graph databases, and TigerGraph.
- Track record of setting engineering standards and driving reuse-first patterns without direct people management.
Benefits
- Competitive total rewards package with benefits based on eligibility.
- Comprehensive health care coverage and on-site health and wellness centers.
- Retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.
- Potential commission-based pay or discretionary incentive compensation may be available for eligible roles.
- Equal opportunity employer offering reasonable accommodations.
Tech Stack
Categories
BackendData Engineering
About JPMorgan Chase
JPMorgan Chase provides consumer and commercial banking, payments, credit card, wealth management, and corporate and investment banking services to individuals, businesses, institutions, and governments. The public company (NYSE: JPM) earns revenue from interest, fees, trading, and asset management across operations in more than 100 markets. Headquartered in New York City with roots dating to 1799, it serves retail customers and prominent corporate and government clients through brands including Chase and J.P. Morgan.