Senior Lead Software Engineer, AI-Driven Cloud Platforms

JPMorgan Chase & Co.

Seattle (WA)

On-site

USD 180,000 - 240,000

Full time

5 days ago

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Job summary

JPMorgan Chase & Co. in Seattle seeks a Senior Lead Software Engineer to join the Infrastructure Platforms team. You will guide Agile teams, develop secure production code, and shape AI-enabled infrastructure for scalable cloud platforms designed for AI/ML workloads.

You’ll collaborate across engineers, vendors, and AI teams to align compute needs with infrastructure and drive cost-efficient performance. The role emphasizes secure coding, SDLC governance, and leadership in adopting AI-assisted

Qualifications

Formal training or certification on software engineering concepts and 5+ years applied experience.
Hands-on experience in system design, application development, testing, and operational stability.
Strong experience with Kubernetes and containerization (Docker), including cluster operations and production troubleshooting.
Proficiency in at least one programming language, such as Python, Go, Java, or C#.
Ability to independently tackle design and functionality problems with minimal oversight.
Strong knowledge of cloud computing delivery models (IaaS, PaaS, SaaS) and deployment models (Public, Private, Hybrid Cloud).
Foundational understanding of machine learning concepts, including transformer architecture, ML training, and inference.
Experience with Infrastructure as Code.
Deep understanding of cloud component architecture: Microservices, IaaS, Storage, Security, and routing/switching technologies.
Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment 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 senior engineers/leads on compliant usage patterns and controls.

Responsibilities

Provide technical guidance aligned to business goals, collaborating with engineers, contractors, and vendors.
Develop secure, high-quality production code; review, debug, and improve others’ code.
Influence product design, application functionality, and technical operations through informed decisions.
Champion firmwide SDLC frameworks, tools, and best practices.
Promote a culture of diversity, equity, inclusion, and respect.
Architect and deploy secure, scalable cloud platforms optimized for AI/ML workloads.
Partner with AI teams to translate compute needs into infrastructure requirements.
Monitor, manage, and optimize cloud resources for performance and cost efficiency.
Build CI/CD, automation, and infrastructure-as-code to streamline ML deployment and operations.
Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes, while establishing measurable validation standards and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.