Job description

This is your chance to shape an AI-first Developer Portal —a modern “front door” where clients and their systems can discover capabilities, onboard, troubleshoot, and integrate through agent-ready workflows and high-quality external APIs. As a Senior Vice President of Software Engineering within Payments Technology, you will lead teams and remain hands-on in building secure, stable, scalable platform capabilities that modernize the developer experience for the agentic era. As a Senior Lead Software Engineer at JPMorgan Chase within Payments Technology, you will lead teams and remain hands-on in building secure, stable, scalable platform capabilities that modernize the developer experience for the agentic era Role summary You will own the technical direction and execution for an AI-native portal experience where: • Core portal capabilities are designed to be consumed by agents and automation (with excellent human UX as a companion). • Workflows are exposed as reusable actions/tools with strong security, auditability, and operational controls. • External API experiences are productized to be easy to discover, evaluate, and integrate—at scale. Job responsibilities • Lead the creation of an AI-first Developer Portal experience : define architecture patterns for agent-ready workflows, tool/action schemas, context assembly, and safe execution. • Build and operate AI-enabled support experiences (assistant + workflow automation) with contextual understanding of client/workspace state, integration progress, and troubleshooting signals. • Design and deliver secure external API platform capabilities : contract-first API design (OpenAPI), versioning strategy, backward compatibility, idempotency, pagination, consistent error models, and developer usability. • Own authentication and credential workflows for external integrations , including patterns for certificate handling, credential rotation, and secure onboarding journeys. • Establish engineering standards for AI + automation in production : evaluation and test strategy, release gating, telemetry, audit logging, and incident response for AI/tooling systems. • Remain hands-on (~50%) through critical-path coding, architecture reviews, code reviews, debugging, and performance/resiliency improvements. • Drive cross-functional, federated delivery by partnering with API owners, security, and shared services to deliver a unified client experience despite distributed backend ownership. • Coach and develop engineers : set expectations for quality, delivery discipline, design rigor, and collaboration; actively grow technical talent and leadership bench. Required qualifications, capabilities, and skills • Formal training or certification in software engineering concepts and 5+ years applied experience; demonstrated coaching/mentoring experience. • 10+ years of software engineering experience building and operating distributed systems at scale. • 3+ years of experience leading software engineering teams and delivering complex platforms/products with measurable outcomes. • Strong hands-on backend development experience in Java (other modern backend stacks acceptable). • Proven expertise building external-facing APIs and integration platforms , including contract-first design, lifecycle/version management, security controls, and operational readiness. • Strong security fundamentals for external integrations: OAuth2/OIDC concepts, mTLS, PKI/certificates, secrets management, secure SDLC, and threat modeling. • Experience building AI-enabled product capabilities in production (beyond simple chat): grounded retrieval/search, structured tool/action execution, guardrails, evaluation practices, monitoring, and auditability. • Proficient in automation and continuous delivery methods; advanced understanding of agile and modern SDLC practices. • Strong understanding of application resiliency and observability (logs/metrics/traces), performance engineering, and incident management. • Experience working in regulated environments with strong controls, compliance requirements, and reliability expectations. Preferred qualifications, capabilities, and skills • Developer portal or developer-experience platform experience (onboarding journeys, documentation-as-a-product, integration tooling, sandbox/test experiences). • Experience building workflow/orchestration systems (state machines, async processing, retries, compensating actions). • Search and relevance experience (enterprise search, ranking, contextual retrieval, content quality signals). • Cloud-native delivery experience (containers/Kubernetes) and event-driven architectures (webhooks/callbacks/streams). • Prior payments, treasury, or broader financial-services platform experience. Payments Tech Senior Lead – AI-First Developer Portal & External APIs

Requirements

Must-haves

You will own the technical direction and execution for an AI-native portal experience where:
Core portal capabilities are designed to be consumed by agents and automation (with excellent human UX as a companion).
Workflows are exposed as reusable actions/tools with strong security, auditability, and operational controls.
External API experiences are productized to be easy to discover, evaluate, and integrate—at scale.
Lead the creation of an AI-first Developer Portal experience : define architecture patterns for agent-ready workflows, tool/action schemas, context assembly, and safe execution.
Build and operate AI-enabled support experiences (assistant + workflow automation) with contextual understanding of client/workspace state, integration progress, and troubleshooting signals.
Design and deliver secure external API platform capabilities : contract-first API design (OpenAPI), versioning strategy, backward compatibility, idempotency, pagination, consistent error models, and developer usability.
Own authentication and credential workflows for external integrations , including patterns for certificate handling, credential rotation, and secure onboarding journeys.
Establish engineering standards for AI + automation in production : evaluation and test strategy, release gating, telemetry, audit logging, and incident response for AI/tooling systems.
Remain hands-on (~50%) through critical-path coding, architecture reviews, code reviews, debugging, and performance/resiliency improvements.
Drive cross-functional, federated delivery by partnering with API owners, security, and shared services to deliver a unified client experience despite distributed backend ownership.
Coach and develop engineers : set expectations for quality, delivery discipline, design rigor, and collaboration; actively grow technical talent and leadership bench.
Required qualifications, capabilities, and skills
Formal training or certification in software engineering concepts and 5+ years applied experience; demonstrated coaching/mentoring experience.
10+ years of software engineering experience building and operating distributed systems at scale.
3+ years of experience leading software engineering teams and delivering complex platforms/products with measurable outcomes.
Strong hands-on backend development experience in Java (other modern backend stacks acceptable).
Proven expertise building external-facing APIs and integration platforms , including contract-first design, lifecycle/version management, security controls, and operational readiness.
Strong security fundamentals for external integrations: OAuth2/OIDC concepts, mTLS, PKI/certificates, secrets management, secure SDLC, and threat modeling.
Experience building AI-enabled product capabilities in production (beyond simple chat): grounded retrieval/search, structured tool/action execution, guardrails, evaluation practices, monitoring, and auditability.
Proficient in automation and continuous delivery methods; advanced understanding of agile and modern SDLC practices.
Strong understanding of application resiliency and observability (logs/metrics/traces), performance engineering, and incident management.
Experience working in regulated environments with strong controls, compliance requirements, and reliability expectations.

Nice-to-haves

Preferred qualifications, capabilities, and skills

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiapijavaagilekubernetes

Platform: oracle-cloud
Effort: medium