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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Infrastructure Engineer - **Company:** ONE STOP COLLECTIBLE CORP - **Location:** Oakland, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $185,000.0 - $260,000.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Amazon Web Services, Business Logic, Cloud Computing, Cyber Security, Databases, Continuous Integration, Data Retention, Cursor (Graphical User Interface Elements), Software Debugging, Disaster Recovery, Github, PostgreSQL, MongoDB, Octopus Deploy, Redis, Software Safety, Security Information and Event Management, Datadog, Autoscaling, Backend, Kubernetes, Low Latency, Deployment Automation, Performance Monitor, Cloudflare, Terraform - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/infrastructure-engineer-elicit-com-8790472 ## About the Role * 5+ years of hands-on infrastructure/SRE/platform engineering experience. * An AI-native way of working. Agentic coding tools (Claude Code, Cursor, Devin, etc.) are how we build at Elicit, and infrastructure is no exception: agents help us write IaC and investigate incidents. You should be an enthusiastic practitioner who uses AI to multiply your impact, and excited to find new places agents can safely take on infrastructure work. Bonus: you've written about, spoken about, or built projects demonstrating this. * Solid Terraform experience. this is our primary infrastructure-as-code layer and the most important technical requirement. * Strong Kubernetes expertise. You've operated production clusters, not just deployed to them. Comfortable with EKS, networking, autoscaling (Karpenter), and debugging cluster-level issues. * AWS experience (primary), with GCP familiarity a plus. * GitOps and CI/CD fluency. Argo CD, GitHub Actions, or equivalent. You understand deployment automation, rollback strategies, and change management. * SRE mindset. You've built or significantly improved observability stacks (DataDog or equivalent), incident response processes, and on-call practices. * Security and compliance awareness. Experience with SOC 2 or similar frameworks, SIEM tooling, and translating compliance requirements into engineering practice. * Ability to write software. You can contribute to our backend codebases where infrastructure meets application logic. Am I a good fit? ## Description Elicit is an AI research assistant that uses language models to help researchers figure out what's true and make better decisions, starting with common research tasks like literature review. What we're aiming for: 1. Elicit radically increases the amount of good reasoning in the world. + For experts, Elicit pushes the frontier forward. + For non-experts, Elicit makes good reasoning more affordable. People who don't have the tools, expertise, time, or mental energy to make well-reasoned decisions on their own can do so with Elicit. 2. Elicit is a scalable ML system based on human-understandable task decompositions, with supervision of process, not outcomes. This expands our collective understanding of safe AGI architectures. Visit our Twitter to learn more about how Elicit is helping researchers and making progress on our mission. Why we're hiring for this role Elicit is an AI research platform used by scientists, pharma companies, and decision-makers for high-stakes evidence synthesis. A single session could trigger hundreds of thousands of language model invocations across multiple providers, which means our infrastructure decisions directly impact cost, reliability, and the quality of research outcomes for users making decisions worth millions of dollars. Our infra is well-architected using best practices - Terraform, Kubernetes, Argo CD, GitHub Actions. But we're at an inflection point: enterprise contracts are getting larger, single-tenant deployments are multiplying, and the surface area that needs dedicated attention has outgrown what our current team can cover part-time. This is the first dedicated infrastructure hire and you'll define how this function works at Elicit. James (Head of Engineering, ex-Square) set up the original infrastructure and will be your close partner. This role will own and evolve the infrastructure platform that underpins Elicit's product. You will ensuring it is reliable, secure, cost-efficient, and ready for the demands of a growing enterprise customer base. Under your ownership, our systems will scale gracefully across single-tenant deployments, our SLAs will be backed by real engineering rigor rather than best intentions, and our compliance posture will be a selling point rather than an afterthought. What you'll own * Own our cloud infrastructure across AWS and GCP - Kubernetes clusters, networking, databases (Aurora PostgreSQL, Redis, MongoDB Atlas), Cloudflare, and our CI/CD pipeline. * Scale single-tenant deployments from a handful to many - each with distinct data retention, geographic, monitoring, and compliance requirements. Make a private cloud deployment a repeatable, low-overhead operation. * Build our observability and incident response practice - proactive monitoring, alerting, SLA tracking, and structured post-mortems that make the whole team better at diagnosing and resolving issues. * Drive compliance and security operations - ensure we follow through on the policies we've written (SOC 2, NIST AI framework, EU Cyber Resilience). Own disaster recovery exercises, database restoration drills, and security event monitoring (SIEM). * Manage infrastructure cost and capacity - make smart decisions about where we run workloads (AWS, CoreWeave, Parasail), optimize spend, and plan capacity as usage grows. * Improve developer experience - CI/CD pipeline performance, preview environments, local development tooling, and deployment confidence. * Contribute to backend systems where infrastructure and application intersect - circuit breakers, inference routing, data connector infrastructure for enterprise customers bringing their own data. What success will look like (6-12 months) * A private cloud deployment is a ~1-day turnkey operation. Playbooks and templated Terraform make standing up Elicit in a customer's cloud routine, which opens up 8-figure enterprise deals. * Our observability signal:noise ratio improves 10-fold. Health monitors cover every endpoint and job, and an alert firing means something needs attention. * Disaster recovery is practiced. We run database restoration drills and provider-outage dry runs on a schedule, with post-mortems that make the whole team better at diagnosis. * Our SLAs are backed by engineering rigor. We follow through on SOC 2, NIST AI framework, and EU Cyber Resilience commitments, and enterprise security reviews go faster because of it. * Inference is faster and cheaper. You've found and executed opportunities like shifting load between providers to cut p95 latency and cost at the same time., Strong applicants will find it easy to answer these questions: 1. Can you describe a time you designed and executed a multi-tenant or single-tenant deployment architecture for enterprise customers? 2. How have you approached disaster recovery planning and testing at a previous company? 3. Walk me through how you'd evaluate whether to build vs. buy for a new infrastructure component at a ~30-person startup. 4. Have you owned compliance follow-through (not just policy writing) for a framework like SOC 2? Who will I work with? * James (Head of Engineering): set up the original infrastructure and will be your closest partner. You'll own execution, with James as sounding board and advocate. * Panda: the engineer who has been covering infrastructure part-time, with deep context on our cluster bootstrapping, Cloudflare setup, and inference providers. * Product: PMs covering the core product, ML, and evals. They carry the customer side of enterprise deployments, so you'll work together to turn requirements like data residency, compliance commitments, and SLAs into architecture, and to weigh the cost and latency tradeoffs behind product decisions. Eval infrastructure is a shared surface with Ben, from CI integration to inference capacity. * The whole engineering team: we're ~30 people company-wide, so you'll work directly with the engineers whose developer experience you're improving, and pair with them where infrastructure meets application code. * Andreas and Jungwon (cofounders): you'll meet both during the interview process, and infrastructure decisions with strategic weight (enterprise deployments, compliance posture) get their direct attention., The work matters. Our mission is to radically improve reasoning for high-stakes decisions. Over 2 million people use Elicit, including pharma teams making R&D decisions worth tens of millions of dollars, and the reliability of our platform is part of what makes those decisions sound. * Infrastructure work is close to the business. Single-tenant deployments open enterprise deals, and inference routing choices show up directly in our costs and latency. You'll see the effect of your work in the company's trajectory. * Built for the long term. We're a Public Benefit Corporation that spun out of a non-profit AI research lab. Long-term impact and AI safety are part of the corporate charter. * High agency, low bureaucracy. ~30 curious, slightly weird people who write things down and trust each other to run with a vague brief. * Serious investment in your growth. $1,000 per quarter for every person to explore AI tools, courses, and events, plus quarterly in-person team retreats., * Flexible work environment: work from our office in Oakland or remotely with time zone overlap (between GMT and GMT-8), as long as you're comfortable traveling for quarterly in-person offsites. * Fully covered health, dental, vision, and life insurance for you, generous coverage for the rest of your family (FSA/HSA, too). * Flexible vacation policy, with a minimum recommendation of 20 days / year and plenty of company holidays. * Every Elician receives a $200 monthly wellbeing stipend to spend on whatever supports your health and wellbeing. * 401K with a 6% employer match. * A new Mac + $1,000 budget to set up your workstation or home office in your first year, then $500 every year thereafter. * $1,000 quarterly AI Experimentation & Learning budget, so you can freely experiment with new AI tools to incorporate into your workflow, take courses, purchase educational resources, or attend AI-focused conferences and events. * A team administrative assistant who can help you with personal and work tasks. * You can find more reasons to work with us in this thread! ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Designing UX for SRE Agents in High-Stakes Incidents](https://www.wearedevelopers.com/videos/100003-designing-ux-for-sre-agents-in-high-stakes-incidents) - [Accelerating Authentication Architecture: Taking Passwordless to the Next Level](https://www.wearedevelopers.com/videos/733-accelerating-authentication-architecture-taking-passwordless-to-the-next-level) ## Related Articles - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [How to Answer the Interview Question: “Why Do You Want to Be a Software Engineer?”](https://www.wearedevelopers.com/magazine/392-how-to-answer-the-interview-question-why-do-you-want-to-be-a-software-engineer) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)