Lead AI Platform Reliability Engineer

Aumni

Seattle (WA)

Sur place

USD 180 000 - 240 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Health care coverage

On-site health centers

Retirement savings plan

Tuition reimbursement

Mental health support

Equity

Résumé du poste

JPMorganChase is seeking a Lead Software Engineer for the AI/ML Data Platforms group in Seattle to drive reliability, scalability, and secure production-grade services. You will build reusable platform services, APIs, and libraries while partnering across teams to enable AI use cases from design to operation.

The role emphasizes on-call rotation participation, mentoring, and adherence to security/resiliency standards across AI foundations and platforms.

Qualifications

Formal training or certification on software engineering concepts and 5+ years applied experience.
Strong hands-on coding experience in Python with experience delivering production-grade services.
Demonstrated experience leading effective use of approved AI-assisted software development tools with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.
Hands-on practical experience with system design, automated testing, debugging, and operational stability for production software.
Experience implementing observability, logging, metrics, alerts, Service Level Objectives, incident response practices, and root-cause analysis for services in production.
Working knowledge of software application development and technical processes, with depth in cloud platforms, AI/ML platforms, distributed systems, or infrastructure engineering.
Ability to break down technical requirements into executable engineering tasks, manage dependencies, and deliver against milestones in partnership with product and application teams.
Strong written and verbal communication skills, with the ability to explain technical decisions, trade-offs, issues, and risks to engineering teams and stakeholders.

Responsabilités

Design and implement solutions to enhance the reliability and scalability of AI/ML platforms and applications to accommodate fast-growing demands
Develop secure, stable, and high-quality production code, and participate in code reviews, debugging, testing, and remediation of defects across AI Foundation Services components
Build and enhance reusable platform services, APIs, SDKs, and libraries that standardize how application teams consume model hosting, inference, and AI/ML managed services
Partner with Lines of Business application teams to implement AI Foundation Services capabilities that unblock generative AI and AI use cases, supporting delivery from technical design through build, launch, and early operational support
Own and evolve non-functional requirements and build/enhance tooling for observability, resilience, security controls, infrastructure management, and cost optimization
Establish and enforce standards and reference architectures for reliability, observability, automation, and operational readiness across services
Partner with product and platform engineering teams to define and meet service reliability targets, including performance, availability, and recoverability
Participate in on-call rotations, debug and resolve complex production issues; identify systemic gaps and drive durable remediation
Mentor and guide engineers; raise the bar on engineering quality, documentation, and operational rigor