Senior Community Engineer

Pulumi • San Francisco, CA

9h • Remote

About The Position

We are looking for a passionate Senior Community Engineer to educate Pulumi's rapidly growing community on infrastructure as code best practices and how best to maximize use of the Pulumi platform to achieve success in building modern cloud and AI infrastructure. You will be a part of realizing a vision where every engineer, and every AI agent, can program the cloud. In this role, you will communicate Pulumi's unique and innovative worldview and approach to the world of engineers and engage with users to solve complex problems, from multi-cloud Kubernetes to GPU training clusters and agentic infrastructure workflows, and create scale by sharing these solutions with software engineers globally. In addition to engaging deeply with the community, you will also work closely with Pulumi's product and engineering teams (including the team behind Pulumi Neo, our AI agent for infrastructure) to ensure that the needs of the community are always served by the Pulumi platform. At Pulumi you will be challenged, learn, teach, and collaborate with an elite team of great people. While Pulumi is headquartered in Seattle, WA., we are dedicated to being a remote first company. This role will be located in San Francisco, CA.

Requirements

• 3+ years in a software development environment.
• Excellent written and verbal communication skills, with the ability to convey complex technical concepts clearly.
• Demonstrated experience delivering technical presentations and live demos that help developers understand and adopt new tools
• Ability to author assets such as blog articles, tutorials, and workshops.
• Strong interest in and preferably hands-on experience with AI/ML infrastructure—LLMs, agentic workflows, GPU workloads, MCP, and AI-assisted developer tooling
• Hands-on experience configuring AI coding agents (Claude Code, Codex, Cursor, or similar) to produce reliable, production-grade code in real engineering workflows.
• Familiarity with prompt and context engineering patterns, MCP server integration, evals, and guardrails that keep agent output trustworthy.

Nice To Haves

• Bachelor's degree in Computer Science or equivalent.
• Languages: Go, JavaScript, TypeScript, Python, or C#
• Cloud Platforms: Docker, Kubernetes, Amazon Web Services, Microsoft Azure, Google Cloud Platform
• Foundation-model platforms: AWS Bedrock, Azure AI Foundry, Google Vertex AI, or open-source equivalents (vLLM, Ollama, llama.cpp).
• AI/ML infrastructure: NVIDIA GPU operators, Kubeflow, Ray, KServe, or similar
• Building with or integrating LLMs: function calling, MCP servers, and agent frameworks such as Strands Agents SDK, Google ADK, or LangChain

Responsibilities

• Write blog posts or whitepapers that offer architectural guidance, analyze varying technological viewpoints, and illustrate patterns and concepts around infrastructure as code, including AI-native architectures, GPU orchestration, and agentic IaC workflows.
• Speak and perform demos at leading technical conferences across both the cloud-native and AI/ML ecosystems (KubeCon, AWS re:Invent, Microsoft Ignite, Google Cloud Next, PyTorch Conference, Ray Summit, MLOps World, and more).
• Build thought leadership for Pulumi around infrastructure as code, platform engineering, and the emerging discipline of AI infrastructure engineering.
• Champion Pulumi Neo and our MCP server to the community, showing developers how to combine Pulumi with AI coding tools (Claude Code, Codex, Cursor) and agent frameworks like Strands Agents SDK, Google ADK, and LangChain to ship real infrastructure faster.
• Teach the community how to configure and prompt AI coding agents (Claude Code, Codex, Cursor, Cline, and similar) so they consistently produce reliable, idiomatic, production-grade Pulumi code, including patterns for context engineering, MCP-based tool wiring, evaluation, and guardrails.
• Develop reference architectures and demos for AI/ML workloads on Pulumi: training clusters, inference platforms, vector databases, RAG pipelines, and multi-cloud foundation-model portability across AWS Bedrock, Azure AI Foundry, and Google Vertex AI.
• Create demos to be used in talks, blogs, social media, and community opportunities.
• Foster Pulumi community virtually and at regional meetups, including AI-focused and platform-engineering communities.

Benefits

• Healthcare Coverage: We offer comprehensive medical, dental, vision, and supplemental insurance at no cost to U.S. employees. Internationally, we comply with local healthcare requirements and provide regionally appropriate coverage.
• Time Off: Our unlimited PTO policy encourages balance and rest — and we require employees to take at least three weeks off annually, plus 13 U.S. holidays.
• 401(k): U.S. employees are eligible for a 401(k) plan with an employer match to support long-term financial wellness.
• Parental Leave: We provide 20 weeks of paid leave for birthing parents or primary caregivers, and 16 weeks for non-birthing parents or secondary caregivers.
• Remote-First Culture: Pulumi has been fully remote since 2020, with teammates across 20+ U.S. states and 12+ countries. We support flexible work with asynchronous collaboration and an annual “work from anywhere” stipend.
• Professional Development: Every employee receives an annual learning and development budget to support growth, learning, and career goals.
• Equity Ownership: We believe in acting like owners. All employees receive equity and are empowered to think big, move fast, and build the future of cloud together.
• Additional Support: We offer a monthly wellness fund to support mental and physical well-being, and a quarterly happiness fund for team connection.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 11-50 employees