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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, Developer Infrastructure - **Company:** Ai, Inc - **Location:** San Francisco, CA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Audit Trail, Computer Programming, Continuous Integration, Linux, Github, Identity and Access Management, Python (Programming Language), PostgreSQL, Node.Js, Digitalocean, Software Deployment, Software Engineering, TypeScript, Software Vulnerability Management, Datadog, Data Logging, Large Language Models, Vertica, Terraform - **Published:** September 15, 2026 - **Apply:** https://startup.jobs/software-engineer-developer-infrastructure-numeric-10064952 ## About the Role * 3+ years of software engineering experience, including significant time on infrastructure, platform, or developer-productivity work. * Confidence with AWS, IaC (Terraform/OpenTofu or similar), CI/CD systems, and Linux/container fundamentals. * Strong general-purpose programming skills (primarily TypeScript, Python where it fits). Nice to have * Prior experience with tools like Spacelift / Atlantis, Datadog / Firetiger / Chronosphere, or GitHub Actions / Buildkite * Running incident-management, defining SLAs, and keeping sites up through enormous traffic * Supporting non-engineer contributors (e.g., support engineers shipping fixes with AI tools). Stack: AWS (ECS, RDS, S3), OpenTofu/Terraform via Spacelift, GitHub Actions, Datadog, TypeScript / Node, Postgres, ClickHouse, Inngest. ## Description Platform Engineering at Numeric is engineering for engineering. Our customers are our own engineers and, increasingly, the AI agents working alongside them. The mission: make every engineer and agent dramatically more productive by building a shared platform, so anyone can go from idea to safely deployed change without bespoke setup or tribal knowledge. This role is the developer-infrastructure half of that mission - environments, CI/CD and deployment, infrastructure-as-code, environment parity, observability, security, and internal tooling. The current reality has gaps (deploys with no staging gate, migrations without clean rollback, a prod-DB-clone lock that blocks deploys, Terraform drift, two clouds where there should be one) and a roadmap to close them. You'd own pieces of that roadmap end to end and then watch engineers actually use them. What you might work on * Deployment process: serialized, gated deploys across services; automated schema migrations with rollback; staging * production promotion that engineers trust. * Environments & parity: local and remote dev environments that are reliable and fast to stand up; sandboxes and preview/review environments so reviewers can verify behavior, not just read code. * Agent-First development: Including MCP gateways, governance, cost management, and foundation model selection. * Infrastructure-as-code: Spacelift/OpenTofu, drift remediation, consolidating off DigitalOcean onto AWS, and IaC standards that are easy to follow by default. * Repo standards & ownership: repository standards (linting, testing hierarchy, ownership manifests, idempotent onboarding), an ownership registry, and an internal developer portal. * Observability foundations: local tracing/logging/metrics for every engineer, Datadog cost and hygiene, incident-management maturity, status pages. * Security & access: unified secrets/config management, SSO in front of internal sites, IAM scoping, ECR scanning, audit logging, vulnerability management. * AI Internal tools hosting: Numeric Labs - the platform that lets anyone at Numeric ship an internal tool without re-solving auth, hosting, and observability. You might be a great fit if you… * Are technically deep in infrastructure - AWS, containers/ECS, networking, IaC - and pragmatic about it. * Have a product builder's instinct for developer experience: sane defaults, tooling that teaches, "shipping means seeing it work successfully." * Like discovering the problem by meeting your users: pairing with engineers, watching onboarding, reading the friction in Slack. * Are comfortable building in-house when it's the right call (and explicit about when a third-party tool earns its place). ## 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) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Postgres in the Age of AI (and Devin)](https://www.wearedevelopers.com/videos/1042-postgres-in-the-age-of-ai-and-devin) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)