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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Infrastructure Engineer - **Company:** Knock Inc. - **Location:** New York, NY, United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Databases, DevOps, PostgreSQL, MongoDB, Datadog, Pulumi, Amazon Virtual Private Cloud (VPC), Cloudformation, Kubernetes, Apache Kafka, Vertica, Cloudwatch, Amazon Simple Queue Service (SQS), Terraform - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/infrastructure-engineer-knock-3-8018739 ## About the Role * 4+ years experience as a DevOps engineer or similar in a startup or mid-sized company working with complex systems that operate at scale. * Experience working in and on production Kubernetes clusters using infrastructure as code (we use Terraform, but others like Pulumi or Cloudformation are fine too). * Experience working on complex AWS deployments (multi-account, complex VPC structure to support EKS, EKS experience). * Experience operating and scaling different database technologies. We use Aurora Postgres, Mongo, and ClickHouse so significant experience with at least one of these is a must. * Some past experience or familiarity operating and scaling different queues and streams across SQS, Kinesis, Kafka or similar. * Strong problem-solving skills with a focus on reliability, scalability, and performance. * Strong communications skills, with the ability to work in a fully distributed, remote-first team. We love to write long-form documents for us, our future selves, and our AI companions. ## Description We're looking for am infrastructure engineer to join our small but growing platform team. The platform team at Knock are responsible for building, scaling, and maintaining the core services and infrastructure that run Knock. You will have a high degree of ownership and autonomy in improving the Knock platform, starting with our foundational infrastructure. We're an engineer-led team that obsesses over the reliability and availability of our service. We care deeply about building a team and culture that is inclusive and equitable for people of all backgrounds and experiences, and believe firmly that the best teams are diverse. We particularly encourage people from underrepresented communities to apply. Last thing: you can be a great fit even if you don't perfectly match what's described below. We know there's a lot we don't know and haven't thought of yet, and we're looking for teammates that can tell us what those things are. If that's you, don't hesitate to apply and tell us about yourself! What you'll be doing in this role As an early stage company, everyone (including you) is involved in building every part of the company from the product and the infrastructure that it runs on, to how we get work done internally. Here are a collection of hats we need you to be OK with wearing: 1. Adopting a Terraform-backed EKS cluster, modernizing & maintaining it for elastic scale, reliability, performance, security, etc. 2. Going deep into troubleshooting Postgres performance, queues of every shape and size, and come out the other side with a plan for scaling another 10x to 100x. 3. Identifying and correcting scaling issues before they affect our customers by relying on and improving our telemetry and traces in Datadog, AWS Cloudwatch, and Honeycomb. If you see a blind spot, you are comfortable getting into the codebase to fix it. 4. Maintaining and improve upon our >99.95% uptime track record. 5. Supporting our product engineering team at moving fast to deliver customer value. Improving the day-to-day developer experience through canaries, faster cycle time, blue/green deploys, etc. 6. Joining on-call rotations on a schedule with the rest of the engineering team. This position is both high autonomy and high accountability: you will have a lot of room to work and raise our existing standards, while also communicating those changes and bringing the rest of the team along for the ride, often in the form of runbooks & internal documentation. ## 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) - [40 Minutes to Build a Serverless COVID-19 REST and GraphQL APIs](https://www.wearedevelopers.com/videos/208-40-minutes-to-build-a-serverless-covid-19-rest-and-graphql-apis) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Why segmenting your infrastructure into tiers makes your infrastructure design better](https://www.wearedevelopers.com/videos/1960-why-segmenting-your-infrastructure-into-tiers-makes-your-infrastructure-design-better) - [Postgres in the Age of AI (and Devin)](https://www.wearedevelopers.com/videos/1042-postgres-in-the-age-of-ai-and-devin) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [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) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)