Senior Director Software Engineering

JPMorgan Chase JPMorgan Chase · Banking · Columbus, OH +1 · Consumer & Community Banking

Senior Director of Software Engineering to lead multiple technical domains, managing high-performing teams and collaborating across the organization. Drives strategic platform development, champions industry best practices, and ensures delivery of scalable, resilient, and user-centric solutions. Guides the adoption of advanced technologies and frameworks, aligning with the firm’s vision and objectives. Focuses on agentic AI-enabled engineering and SDLC/TLM automation, establishing guardrails for validation, security, resiliency, and reuse.

What you'd actually do

  1. Leads multiple technology and process implementations across departments to achieve firmwide technology objectives
  2. Directly manages multiple areas with strategic transactional focus
  3. 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.
  4. 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.
  5. Provides leadership and high-level direction to teams while frequently overseeing employee populations across multiple platforms, divisions, and lines of business

Skills

Required

  • Formal training or certification on software engineering concepts
  • 10+ years applied experience
  • 5+ years of experience leading technologists
  • 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
  • Deep understanding of responsible AI risk, controls, and resiliency/security expectations at scale
  • 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)
  • Hands-on coding experience
  • Extensive practical cloud native experience

Nice to have

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

What the JD emphasized

  • agentic AI-enabled engineering
  • SDLC/TLM automation
  • AI-orchestrated delivery workflows
  • guardrails for validation, security, resiliency, traceability, and reuse
  • responsible AI risk, controls, and resiliency/security expectations

Other signals

  • agentic AI-enabled engineering
  • SDLC/TLM automation
  • AI-orchestrated delivery workflows
  • responsible AI risk, controls, and resiliency/security expectations