• Work as an individual contributor within the Cloud development platform team, focused on developing and maintaining an in-house built CI/CD automation pipeline • Highly advanced knowledge of Release automation using CI/CD products that is applied to advance the goals and objectives of the team and department • Recognized by the team as an expert in CI/CD automation • Deploy critical infrastructure components through Infrastructure-as-Code tooling across multiple environments using Terraform integrated through Azure DevOps • Manages activities within a department, developing tactical plans for strategy and implementation for release automation for varying maturity levels of software products • Support the development of compelling features using modern tools and technologies with a focus on building future-proof systems that perform at scale • Architecting and developing stateless and stateful applications using AWS cloud technologies • Provide software development knowledge with respect to cloud architecture, design patterns, and programming • Establishes Cloud Infrastructure Design best practices, templates, and processes • Collaborates with external and internal partners, participates, and suggests design and architectural decisions

• Lead the design, development, and optimization of robust frontend systems for deploying LLM-based algorithms and services. • Manage projects through their complete lifecycle—from architecture to deployment, monitoring, and improvement. • Work with other engineering teams to understand use cases and deliver scalable platform solutions. • Develop high-quality, maintainable code using a modern tech stack. • Grow as an engineer working alongside world-class peers on impactful, cutting-edge generative AI projects.

• Ability to resolve sophisticated customer concerns and technical issues through meticulous research, reproduction, and solving problems for customers installing our products and supporting systems • rapid debugging and response to user-reported issues via telephone, email or conference calls on the DGX Platform (hardware and software) stack including but not limited to resolving customer issues during installation, operation, maintenance or product application or interoperability with other vendors. • ability to apply industry standard AI Tools to efficiently share debugging results, create internal/external knowledge base articles & analyze customer issues thereby helping to develop, re-define and document standard methodologies to provide to internal teams (Support/R&D) for support process and improvements. • participate in multi-functional team meetings and giving feedback to engineering and marketing regarding product requirements, customer experience, support tools, etc.

• Build and operate the LLM and agent infrastructure every team at Coinbase builds on. • Ship high impact AI agents on top of it. • Act as the company's single path to LLMs and the substrate for the full agent lifecycle.