About this opportunity
JPMorgan Chase & Co. lists this Director of Software Engineering - Content and Experimentation opportunity in columbus, Ohio. Review the employer’s description below for duties, qualifications and application requirements.
Job description
If you are a software engineering leader ready to take the reins and drive impact, we’ve got an opportunity just for you.
As a Director of Software Engineering at JPMorganChase within the Digital Technology team, you lead a technical area and drive impact within teams, technologies, and projects across departments. Utilize your in-depth knowledge of software, applications, technical processes, and product management to drive multiple complex projects and initiatives, while serving as a primary decision maker for your teams and be a driver of innovation and solution delivery.
Job Responsibilities
Leads technology and process implementations to achieve functional technology objectives
Accountable for decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures
Sets direction and governance for agentic AI-enabled engineering and SDLC/TLM automation within a technical area to drive measurable improvements in speed, quality, and operational outcomes (e.g., AI-orchestrated delivery workflows, release readiness controls, automated test modernization, and incident triage acceleration), while establishing guardrails for validation, security, resiliency, traceability, and reuse across teams
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation and support capacity unlock initiatives at scale
Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations
Delivers technical solutions that can be leveraged across multiple businesses and domains
Influences peer leaders and senior stakeholders across the business, product, and technology teams
Owns the engineering strategy and execution for a Content and Experimentation platform, enabling scalable content delivery, targeting, personalization, and rapid iteration via experimentation
Partners with Product, Design, Data/Analytics, and Marketing stakeholders to define platform roadmaps, SLAs/SLOs, and measurable outcomes (e.g., experimentation velocity, conversion impact, platform reliability)
Establishes platform governance for experimentation (guardrails, statistical rigor, auditability, and policy-aligned controls), including standard patterns for feature flags, A/B/n testing, and rollout strategies
Drives cloud-native delivery on AWS for the platform (e.g., reliability, performance, cost optimization, observability, incident response), with strong focus on secure-by-design and reusable platform capabilities
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
Experience developing or leading cross‑functional teams of technologists
Experience with hiring, developing, and recognizing talent
Experience leading adoption of agentic AI-enabled engineering practices (using enterprise‑authorized tools within the work environment) across teams, including defining operating expectations (human‑in‑the‑loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs
Strong understanding of responsible AI use and control expectations in engineering workflows, including data sensitivity, resiliency/security implications, and governance; ability to influence leaders on safe scaling patterns and reuse
Practical cloud native experience
Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field
Hands‑on leadership experience designing and operating content delivery and experimentation capabilities (e.g., feature flags, A/B testing frameworks, rollouts, targeting/personalization) in a multi‑team environment
Strong AWS knowledge for building and running scalable platforms (e.g., networking, compute, storage, security, observability, resiliency patterns, and cost management)
Experience defining platform operating models (intake, prioritization, self‑service enablement, reliability targets, runbooks, and on‑call practices) for product‑facing engineering platforms
Strong understanding of API‑first and event‑driven architectures to integrate content and experimentation services with downstream channels and product applications
Preferred qualifications, capabilities, and skills
Participate in and lead opportunities with third parties, working to understand why and how we may integrate and leverage their capabilities
Experience hiring top talent, growing careers, and coaching individuals and managers to higher performance
Experience operating software platforms
Strong understanding of AWS services and infrastructure
Experience with content management platforms (CMS) and content lifecycle concerns (authoring, workflow, governance, localization, versioning, and publishing) to support enterprise‑scale content operations
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Worksite address
columbus, OH, 43224, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.