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Senior - Staff Infrastructure Engineer

Paperless Post
CompanyPaperless Post
CategoryEngineering
LocationNew York
RemoteOn-site (inferred)
EmploymentNot stated
LevelSenior
SalaryNot stated by the employer
Posted22 Apr 2026
Last verified4 Aug 2026
SourceEmployer ATS (greenhouse)
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Description
We are seeking a Senior or Staff level Infrastructure Engineer (6-13+ years of experience) to join our Infrastructure team and contribute to the technical foundation of Paperless Post. In this role, you’ll build tools to manage infrastructure and solve operational problems. You modularize, reuse, and version control your infrastructure as code. You know when to use the latest technologies and when to automate, but still value uptime, performance, and stability. You follow best practices but iterate over your projects quickly and smartly. We want to continue building on our Kubernetes-based platform by extending its capabilities to support more modern architectures and workflows, all in service of providing the best experience possible for our customers. What you’ll do here Build and work with Kubernetes clusters - and all the related tooling! Create and maintain internal tools and services, with developers as end users Build infrastructure as code - we are big fans of Terraform and use it extensively Troubleshoot production and systems issues across the breadth of our tech stack Architect and build major components of our platform; projects such as, re-imagining our logging pipeline, building out smart auto-scaling capabilities for our apps to utilize, etc Maintain a variety of existing systems across our AWS infrastructure Contribute your expertise in collaborating with developers to drive important workflow improvements for our org Become our team’s subject matter expert within the various domains that your projects touch Participate in on-call rotation and have a strong desire to make on-call better for everyone What you should bring to the table Willingness to learn and explore a wide variety of systems - members of our team must frequently dive into unfamiliar codebases and work with them Proven ability to architect a solution to a problem based on a minimal set of constraints and organizational needs, and drive it through implementation and release Ability to execute effectively as the primary individual contributor on a project Collaboration skills - we pair with other Infra team members or developers from outside the team if the project calls for it Experience orchestrating infrastructure using Terraform, CloudFormation, or other similar tooling Experience with a modern container-based cloud application environment(Kubernetes, Lambda, etc) Understanding that applications are not "production-ready” unless they're instrumented and monitored Preferred skills AWS experience, especially around IAM and EC2 (among many other systems!) Postgres/RDS specific database administration knowledge Strong system fundamentals - Linux/sysadmin chops, networking knowledge, etc Experience with modern observability best practices You use AI tooling (Claude Code, OpenCode, etc) to modernize and adapt your workflow to the changing infrastructure engineering landscape Some of the tech we use: Our apps run on Kubernetes We are primarily on AWS, though we do use a small assortment of other providers Our primary datastores are PostgreSQL, Redis, and MongoDB We utilize OpenTelemetry, Prometheus, Loki, and more systems to aid in system observability Our CI/CD pipelines are primarily driven by CircleCI and ArgoCD AI Usage Note At Paperless Post, we value Being Resourceful, Progress Over Perfection, and being a Positive Force. Embracing thoughtful AI use is one way we put those values into practice. In our day-to-day work, we encourage teams to thoughtfully use AI tools like Claude, ChatGPT, and Copilot to move faster and think more creatively. During interviews, our recruiting team may use AI-powered note-taking tools so we can stay focused on the conversation. However, our interviews are designed to understand each candidate’s individual skills, problem-solving approach, and reasoning in real time. For that reason, unless explicitly requested