Senior - Infrastructure Engineer

Position: Senior - Staff Infrastructure Engineer
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, Cloud Formation, 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, Open Code, 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 data stores are Postgre

SQL, Redis, and MongoDB

* We utilize Open Telemetry, Prometheus, Loki, and more systems to aid in system observability

* Our CI/CD pipelines are primarily driven by Circle

CI 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 and/or approved by the recruiting team, AI tools (including but not limited to generative AI assistants such as ChatGPT, Claude, Copilot, etc.) may not be used during any interview sessions, including but not limited to:

* Recruiting phone interviews

* Technical screens

* Live coding challenges

* System design interviews

* Take-home assignments

These conversations are intended to assess your independent thinking and technical depth. If we determine that AI tools were used without disclosure or approval during an interview, it may result in disqualification for the role and removal from the interview process.

Company-wide, we enjoy an amazing ecosystem of an even gender split and a balance of engineers and designers. Because Paperless Post isn't supported by ad revenue, we can focus our efforts on creating and improving on the ideal version of our platform, product, content, and partnerships for our users.

We are proud that Paperless Post has helped over 220 million people globally connect in the real world since our inception. Paperless Post exists to help all people…