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Alchemy

Cloud Infrastructure Engineer

Sorry, this job was removed at 10:14 p.m. (PST) on Monday, Apr 20, 2026
Easy Apply
Hybrid
San Francisco, CA, USA
Easy Apply
Hybrid
San Francisco, CA, USA

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Our Mission

Our mission is to bring web3 to a billion people, by providing builders with the tools they need to build exceptional onchain products. Alchemy is the only complete developer platform that offers the powerful APIs, SDKs, and tools necessary to build and scale onchain apps and rollups.

Our infrastructure powers 70% of the top web3 teams, 90%+ of web2 companies building in web3 and 100+ million end users. Our customers include top web3 brands like Polymarket, OpenSea, Circle, WorldCoin, as well as major global brands like Shopify and Adobe.

The Alchemy team draws from decades of deep expertise in massively scalable infrastructure, AI, and blockchain from leadership roles at leading companies and universities like Google, Microsoft, Facebook, Stanford, and MIT.

We're backed by the world's leading VCs and institutions, including: Lightspeed, Silver Lake, a16z, Coatue, Pantera, Addition, Stanford University, Coinbase, and Charles Schwab, among others.

About the Role

As an engineer in the Infrastructure department at Alchemy, you will design, deploy, and continuously improve the infrastructure powering our blockchain developer platform — serving 100+ chains, billions of daily requests, and over $150B in annual transactions.

The Infrastructure team provides the infrastructure, tooling, and expertise needed to allow Alchemy engineers to ship, scale, and operate high-quality products in a fast, safe, and cost-efficient manner.

What You'll Do
  • Architect and operate scalable, self-healing infrastructure leveraging Kubernetes, Terraform, and cloud-native tools across multi-region deployments.
  • Drive AI enablement across engineering — ensuring repos, tooling, and workflows are optimized for agentic development with tools like Claude Code, Cursor, and Codex.
  • Build AI-powered infrastructure tooling and automation (e.g., automated K8s upgrades, IaC plan analysis, cost optimization advisors, MCP servers, n8n workflows).
  • Build and maintain internal developer platform (IDP) capabilities for self-service deployments, observability, and reliability.
  • Develop observability frameworks using Prometheus and Grafana for metrics, dashboards, and alerting.
  • Lead incident management with blameless post-mortems; define and enforce SLIs, SLOs, and error budgets across services.
  • Design and manage multi-cloud, multi-region network architecture — VPC design, IPAM, DNS (Cloudflare), cross-cloud connectivity, security groups, and edge-proxy/istio gateway configuration.
  • Collaborate with security teams to embed compliance into infrastructure, including IaC scanning and runtime protection.
  • Provide technical leadership and mentorship to elevate the team's operational capabilities.
What We're Looking For
  • 5+ years as an Infrastructure Engineer focused on reliability (SRE, Production Engineer, Platform Engineer).
  • Experience driving company-wide reliability efforts, including SLO frameworks and error budget policies.
  • Strong proficiency with observability stacks: OpenTelemetry, Prometheus/Grafana.
  • Deep experience with cloud infrastructure (AWS/GCP), Kubernetes, and multi-region architectures.
  • Skilled with Terraform, Helm, and GitOps workflows (e.g., ArgoCD) with an automation-first mindset.
  • Experience leveraging agentic development tools (Claude Code, Cursor, Codex) and workflow automation (n8n) to accelerate IaC and build internal tooling is a strong plus.
  • Solid networking fundamentals — VPC design, DNS, IPAM, security groups, cross-cloud connectivity, and service mesh (e.g., Istio) experience is a plus.
  • Calm and effective incident responder with a focus on systemic improvement.
  • Strong cross-functional communicator across SRE, security, and product engineering.
  • Blockchain infrastructure, distributed systems, or high-throughput RPC experience — not required but a plus.
Benefits and Perks

🩺 Medical, Dental, & Vision

💪 Gym Reimbursement

🖥️ Home Office Build-out Budget

🥙 In-Office Group Meals

🧘‍♂️ Wellbeing & Mental Health Perks

📚 Learning & Development Stipend

🎉 Company Sponsored Conferences & Events

💸 HSA and FSA Plans

🧬 Fertility Benefits

More on the Role

Alchemy is committed to offering competitive compensation, including base salary as well as equity. Additionally, Alchemy offers comprehensive medical, dental, and vision coverage, as well as other benefits such as 401k and unlimited flexible time off.

The base salary range for this position is estimated to be between $135,000 - $240,000 annually. Please note this range reflects base salary only, and does not include bonus, equity, or benefits. Your salary will be determined by various factors, including relevant experience, skill set, qualifications, and other business needs.

HQ

Alchemy San Francisco, California, USA Office

San Francisco, CA, United States

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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