When you mentor and advise multiple technical teams and move financial technologies forward, it’s a big challenge with big impact. You were made for this.
As a Senior Manager of Software Engineering at JPMorganChase within the Commercial and Investment Bank Payments Technology team, you serve in a leadership role by providing technical coaching and advisory for multiple technical teams, as well as anticipate the needs and potential dependencies of other functions within the firm. As an expert in your field, your insights influence budget and technical considerations to advance operational efficiencies and functionalities. You will lead the engineering team building our Business Observability Application - a strategic platform powered by our enterprise metrics store that delivers real-time monitoring, intelligent threshold management, alerting, and impact analysis across payments operations. This role partners closely with the metrics store platform team and domain experts across Payments Liquidity, Merchant Services, and Embedded Banking to ensure operational metrics are trusted, actionable, and tied directly to client experience.
Job responsibilities
- Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers that work on basic to moderately complex tasks
- Be accountable for decisions that influence teams' resources, budget, tactical operations, and the execution and implementation of processes and procedures
- Ensures successful collaboration across teams and stakeholders
- Identifies and mitigates issues to execute a book of work while escalating issues as necessary
- Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team
- Creates a culture of diversity, opportunity, inclusion, and respect for team members and prioritizes diverse representation
- Lead the design and delivery of a high-throughput, low-latency observability platform built on Java Spring Boot, Kafka, Flink, Databricks, ClickHouse, and ReactJS, ensuring sub-second alerting and accurate impact analysis at payments-scale volumes
- Partner with the metrics store platform team to consume governed metric definitions, ensuring observability dashboards, thresholds, and alerts use a single source of truth rather than reimplementing business logic
- Drive the technical roadmap for threshold management and alerting capabilities, including static, dynamic, and ML-driven thresholds, and establish patterns for alert routing, suppression, and escalation across operations, sales, and technology stakeholders
- Establish engineering excellence standards including CI/CD on EKS, observability of the observability platform itself (OpenTelemetry instrumentation, SLOs, error budgets), and production readiness reviews for new features
- Collaborate with domain SMEs and product partners to translate incident-response and impact-analysis workflows into platform capabilities, ensuring the application meaningfully reduces mean-time-to-detect and mean-time-to-resolve for client-impacting events
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Experience leading teams of technologists
- Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives
- Experience with hiring, developing, and recognizing talent
- In-depth knowledge of the services industry and their IT systems
- Practical cloud native experience
- Experience in Computer Science, Engineering, Mathematics, or a related field and expertise in technology disciplines
- Hands-on experience designing and operating distributed, event-driven systems using Java, Spring Boot, and Apache Kafka in production at enterprise scale
- Strong working knowledge of stream processing frameworks (Apache Flink or equivalent) and analytical data stores (ClickHouse, Druid, or similar) for real-time aggregation and time-series analytics
- Demonstrated experience deploying and operating containerized workloads on Kubernetes (EKS) within AWS, including familiarity with infrastructure-as-code, autoscaling, and production incident response
- Proven track record of delivering observability, monitoring, or alerting platforms — including threshold management, anomaly detection, or root-cause/impact-analysis capabilities - in mission-critical environments
Preferred qualifications, capabilities, and skills
- Experience working with semantic layers or metrics stores (dbt MetricFlow, Cube, LookML, or equivalent) and understanding of the value of governed metric definitions across consuming applications
- Background in payments, capital markets, or other regulated financial services domains, with appreciation for data residency, hybrid cloud, and regulatory constraints
- Familiarity with Databricks Lakehouse architecture, Apache Iceberg, and modern data engineering patterns including medallion architecture and SCD2 modeling
- Experience integrating OpenTelemetry traces and metrics into analytical platforms, and building observability solutions on top of telemetry data
- Exposure to access control and policy frameworks (Open Policy Agent, Unity Catalog, attribute-based access control) for enforcing entitlements across federated data sources
- Front-end leadership experience overseeing teams building data-dense ReactJS applications, with appreciation for D3.js or similar visualization libraries used in operational dashboards
- Experience working in a federated platform model where the engineering team enables domain experts and partner teams rather than owning all business logic centrally