• Assess infrastructure across Windows, Linux, AIX, and Solaris environments to determine migration readiness and dependencies. • Design and recommend cloud migration strategies (e.g., rehost, replatform, refactor) tailored to business needs and technical constraints. • Plan and execute migrations to cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud (GCP). • Automate deployment and configuration using scripting and Infrastructure as Code tools (Terraform, Bicep, ARM, CloudFormation). • Troubleshoot and optimize performance, security, and cost-efficiency post-migration. • Collaborate with engineering, operations, and security teams to ensure seamless integration and compliance with standards. • Document migration plans, runbooks, and best practices to support continuity and knowledge transfer.

• Define and execute the GTM strategy for our top-tier cloud partners (AWS, Azure, GCP). Lead a high-performing team of Regional Cloud Leads (RCLs) to drive co-sell excellence across Enterprise and Vertical segments. • Serve as the primary point of contact for these relationships working for the SVP of Partners & Alliances. • Align our cloud strategy with global & regional sales goals, ensuring seamless communication between Snowflake and CSP alliance leadership as well as regional field leadership. • Expertly manage the complex dynamics where cloud partners are both infrastructure providers and competitors. • Own the Source, Influence, and Co-sell metrics. Utilize Snowflake-on-Snowflake dashboards to track deal registration, joint pipeline health, and the ROI of cloud funding programs. • Build trust-based relationships with CSP sellers. Educate partner teams on why Snowflake is the preferred engine for data-heavy workloads and AI/ML initiatives. • Partner with Alliances Marketing to launch regional Cloud-First campaigns.

This particular role will involve working alongside a team of Serverless Guru developers and client developers building serverless applications leveraging AWS, Serverless Framework/Terraform/CloudFormation, CI/CD pipelines like GitHub Actions, and a backend programming language like NodeJS, TypeScript, Python, or C#. About 90% of our projects involve NodeJS and TypeScript, but we do have openings for Python and C# too. We are looking for 3+ years of relevant serverless experience on AWS and 5+ years of overall developer experience. This role will require TypeScript experience. As a senior serverless developer, you will help bring best practice up-to-date knowledge of how to build serverless applications both on the development front and on the architecture front to clients. Your insight and understanding of the serverless space will be paramount to the success of our existing client engagements and new client engagements which form after you join our team! Skills You Should Feel Comfortable With AWS Serverless Offerings (e.g. AWS Lambda, DynamoDB, etc) DevOps Practices (e.g. CI/CD Pipelines) IAC Expertise (e.g. Serverless Framework, Terraform) Backend Development with NodeJS, Python, or C# Unit Testing, Integration Testing, Acceptance Testing, and Load Testing

Why this role exists We're looking for a Cloud Native Engineer to build and optimize the microservices architecture powering our AI cloud platform. You'll design resilient, scalable systems using cutting-edge cloud native technologies, ensuring our platform can handle massive AI workloads with reliability and performance. As part of our cloud native engineering team, you'll work on Kubernetes-based infrastructure, Go microservices, and container orchestration systems that serve as the backbone of our AI computing platform. You'll architect the systems that make AI compute seamless for thousands of developers and enterprises. This is a unique opportunity for someone who's excited to work with the latest cloud native technologies, solve complex distributed systems challenges, and build infrastructure at scale in the rapidly growing AI space. What you'll do Design and develop microservices using Go that power our AI cloud platform's core functionality Build and maintain Kubernetes-based infrastructure for container orchestration and workload management Implement and optimize cloud native solutions for scalability, reliability, and performance Contribute to code reviews, technical documentation, and knowledge sharing within the engineering team Explore and integrate emerging cloud native technologies like Volcano, Prometheus, and service mesh solutions Design distributed systems architecture for high-availability AI workload processing Collaborate with DevOps and SRE teams to ensure production reliability and monitoring Leverage AI-assisted coding tools (GitHub Copilot, ChatGPT, Cursor IDE, etc.) to boost productivity and code quality You'll thrive here if you 7+ years of software engineering experience with focus on distributed systems and cloud native technologies Strong proficiency in Go with deep understanding of concurrency patterns and standard libraries Python or other backend languages for polyglot development environments Hands-on Kubernetes experience including development, deployment, and maintenance of production clusters Solid understanding of microservices architecture design patterns and implementation best practices containerization technologies (Docker, containerd) and container runtime optimization Problem-solving mindset with ability to independently design and implement complex system components Strong collaboration and communication skills for working in cross-functional teams Experience using AI-assisted coding tools and willingness to integrate them into development workflow Bonus qualifications Compensation We provide Competitive salary and equity based on your experience and skillset; This is a Hybrid role - 3 days in office, 2 days WFH; Must locate in Palo Alto Applicants must be authorized to work in the United States without need for visa sponsorship.