Senior Manager of Software Engineering Data Platform

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 JPMorgan

Chase 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.

• 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, Click House, and React
  
  JS, 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 (Open Telemetry 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

• 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 (Click House, 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,…