Senior Director of Software Engineering

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    "ExternalDescriptionStr": "<p>Shape the future of financial services at JPMorganChase. Join us to drive innovation, deliver impactful solutions, and lead teams at the forefront of technology.</p><p><br>As Senior Director of Software Engineering at JPMorgan Chase within Operations Technology, you will lead multiple technical domains, managing high-performing teams and collaborating across the organization. You will drive strategic platform development, champion industry best practices, and ensure delivery of scalable, resilient, and user-centric solutions. Your leadership will guide the adoption of advanced technologies and frameworks, aligning with the firm’s vision and objectives.</p><p><strong>Job Responsibilities</strong></p><ul><li>Define and execute delivery strategy and roadmap for large-scale, cross-functional engineering programs.</li><li>Lead end-to-end program execution, including planning, resource management, risk mitigation, and stakeholder communication.</li><li>Translate technical vision into actionable plans, partnering with Principal Engineers and Architecture leads.</li><li><p style=\"line-height: normal; margin-bottom: 0in;\">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.</p></li><li><p style=\"line-height: normal; margin-bottom: 0in;\">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.</p></li><li>Establish and optimize delivery frameworks, governance models, and reporting cadences tailored to program complexity.</li><li>Proactively identify and resolve systemic risks, technical debt, resource gaps, and cross-team dependencies.</li><li>Serve as the primary liaison between Engineering, Product, and Executive leadership, managing program status, trade-offs, and escalations.</li><li>Drive continuous improvement in engineering practices through retrospectives, metrics analysis, and process optimization.</li><li>Leverage AI and approved coding-assist tools to enhance code quality, velocity, and productivity.</li><li>Mentor and develop technical managers and delivery leads, fostering a robust leadership pipeline.</li></ul><p>&nbsp;</p><p><strong>Required qualifications, skills, and capabilities</strong></p><ul><li>Formal training or certification on software engineering concepts and 5+ years applied experience and 15+ years of end-to-end technical program delivery experience, including 5+ years at Director level.</li><li>Proven success delivering complex, multi-team programs at scale and on schedule.</li><li>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.</li><li><p style=\"line-height: normal; margin-bottom: 0in;\">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.</p></li><li><p style=\"line-height: normal; margin-bottom: 0in;\">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.</p></li><li>Demonstrated experience in AI/ML, Large Language Models (LLM), Agentic AI, and Generative AI, with successful project delivery in these domains.</li><li>Strong ability to assess and challenge architectural designs, both front-end and back-end, and drive sound technical decisions.</li><li>Technical fluency to evaluate architectural trade-offs, service boundaries, cost vs. resilience, and build vs. buy decisions.</li><li><p>Mastery of modern delivery methodologies (Agile, Scrum, Kanban), with adaptability to context.&nbsp;</p><p>Exceptional communication skills, able to translate complex engineering concepts for diverse audiences.</p></li><li>Hands-on coding experience.</li><li>BS/MS in Computer Science, Engineering, or related technical field.</li></ul><p>&nbsp;</p><p><strong>Preferred qualifications, capabilities, and skills</strong></p><ul><li>Experience working at code level</li></ul><p><br>&nbsp;</p>",
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