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Sr. Director of Software Engineering

JPMorgan Chase
Wilmington, USA
Full-time
Senior · 10+ years experience
Onsite
Discovered 4 days ago
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Full Job Posting

Job Responsibilities

  • Leads multiple technology and process implementations across departments to achieve firmwide technology objectives
  • Directly manages multiple areas with strategic transactional focus
  • Sets 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.
  • Provides leadership and high-level direction to teams while frequently overseeing employee populations across multiple platforms, divisions, and lines of business
  • Acts as the primary interface with senior leaders, stakeholders, and executives, driving consensus across competing objectives
  • Manages multiple stakeholders, complex projects, and large cross-product collaborations
  • Influences peer leaders and senior stakeholders across the business, product, and technology teams

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise
  • Proven success delivering complex, multi-team programs at scale and on schedule.
  • Experience developing or leading large or cross-functional teams of technologists
  • Deep expertise across the technology stack: API design (REST, SOAP, gRPC, GraphQL), AWS cloud (EKS, networking, serverless, IAM), CI/CD, container orchestration (Kubernetes, Docker), event streaming (Kafka, Kinesis), CDN, front-end frameworks, observability (Datadog, CloudWatch, SLOs/SLIs), large-scale databases (PostgreSQL, Neo4j, Aurora), security, compliance, and QA automation.
  • Experience 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.
  • Experience leading complex projects supporting system design, testing, and operational stability
  • Experience with hiring, developing, and recognizing talent
  • Mastery of modern delivery methodologies (Agile, Scrum, Kanban), with adaptability to context.
  • Hands-on coding experience.
  • Extensive practical cloud native experience

Preferred qualifications, capabilities, and skills

  • Demonstrated prior experience influencing across highly matrixed, complex organizations and delivering value at scale
  • BS/MS in Computer Science, Engineering, or related technical field.

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