SR Director of Software Engineering – Trust and Safety Engineering

Senior Director Of Software EngineeringYour opportunity to make a real impact and shape the future of financial services is waiting for you. Let's push the boundaries of what's possible together.As a Senior Director of Software Engineering at JPMorganChase within the Commercial and Investment Bank Payments Technology Fraud Engineering team, you lead multiple technical areas, manage the activities of multiple departments, and collaborate across technical domains. Your expertise is applied cross-functionally to drive the adoption and implementation of technical methods within various teams and aid the firm in remaining at the forefront of industry trends, best practices, and technological advances.

In this role, you will play a critical part in advancing fraud investigation capabilities and safeguarding payments processing across the organization.Job responsibilitiesLead multiple technology and process implementations across departments to achieve firmwide technology objectivesDirectly manage multiple areas with strategic transactional focusProvide leadership and high-level direction to teams while frequently overseeing employee populations across multiple platforms, divisions, and lines of businessAct as the primary interface with senior leaders, stakeholders, and executives, driving consensus across competing objectivesManage multiple stakeholders, complex projects, and large cross-product collaborationsSets and scales multi-department strategy for agentic AI-enabled engineering and SDLC/TLM automation (using enterprise-authorized tools within the work environment) to drive firmwide objectives (speed, scalability, reliability, and cost-to-serve), including portfolio-level standards for AI-orchestrated delivery workflows, release governance, automated test modernization, resilience engineering, and incident response acceleration; establishes guardrails for validation, security, resiliency, traceability, and reuse.Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive cross-domain reuse and measurable capacity unlock outcomes across departments.Drive the development and delivery of high throughput, low latency production systems for fraud preventionOversee cross-functional engineering teams, including application, data, and SRE disciplinesGuide the adoption of DevOps practices, CI/CD, and infrastructure as code across teamsEnsure operational stability, observability, and reliability of distributed, cloud-native architecturesRequired qualifications, capabilities, and skillsFormal training or certification on software engineering concepts and 10+ years applied experience, including 5+ years leading technologists to manage, anticipate, and solve complex technical items within your domain of expertiseStrong background in Java-based backend systems (e.g., Spring Boot, microservices)Experience developing or leading large or cross-functional teams of technologists (application, data, SRE)Deep understanding of distributed systems design and cloud-native architecturesExperience with cloud platforms (e.g., AWS, GCP, or Azure)Proven track record delivering high throughput/low latency production systemsStrong experience with DevOps practices, CI/CD, and infrastructure as codeFamiliarity with observability tools (monitoring, logging, tracing)Demonstrated prior experience influencing across highly matrixed, complex organizations and delivering value at scaleExperience leading multi-organization adoption of agentic AI-enabled engineering operating models (using enterprise-authorized tools within the work environment), including defining governance (human-in-the-loop decisioning, quality gates), measurement frameworks, and secure handling of sensitive inputs/outputs across teams.Deep understanding of responsible AI risk, controls, and resiliency/security expectations at scale, with demonstrated ability to advise senior leaders on safe adoption, portfolio governance, and reuse-first strategies.Preferred qualifications, capabilities, and skillsExperience designing and operating event-driven architectures (Kafka, Pulsar, etc.)Strong background in data engineering (ETL/ELT pipelines, streaming data, data lakes/warehouses)Experience implementing SRE principles (SLOs, error budgets, reliability engineering)Expertise in containerization and orchestration (Docker, Kubernetes)Experience with API design and management (gRPC, REST, GraphQL, API gateways)Familiarity with security and compliance in regulated environments (e.g., financial services)Strong experience with performance tuning and scalability optimization