> Markdown version of [/jobs/ext/4513834-platform-engineer-ii](https://www.wearedevelopers.com/jobs/ext/4513834-platform-engineer-ii). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Platform Engineer II

- **Company:** Paperless Parts
- **Location:** Boston, MA, United States
- **Experience:** Expert
- **Salary:** $124,000 - $168,000
- **Contract:** Permanent contract
- **Skills:** OpenTofu, Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Automation of Tests, Bash Shell, Software as a Service, Cloud Computing, Code Review, Continuous Integration, Linux, Github, Monitoring of Systems, Identity and Access Management, Python (Programming Language), Software Engineering, Datadog, Scripting, Delivery Pipeline, AI Coding Agents, Gitlab-ci, Kubernetes, Docker, Jenkins
- **Published:** November 2, 2026
- **Apply:** https://www.careerbuilder.com/job-details/platform-engineer-ii-boston-ma--e02ed0fe-e248-48d5-a8c4-0741d27a7311

## About the Role

Medical Equipment, Manufacturing, Software as a Service (SaaS), United States Citizen, Software Engineering, Cloud Computing, Machining, Testing, Project Estimates, Resource Management, * Cloud Infrastructure: Hands-on experience managing production cloud infrastructure on AWS (compute, networking, IAM, storage).

 * Automation Scripting: Proficiency in Python or Bash with the ability to write clear, tested, and maintainable automation tooling.
 * Infrastructure as Code: Demonstrated capability working with infrastructure as code using Terraform or OpenTofu.
 * Linux & Containers: Solid Linux/Unix fundamentals and hands-on experience building, running, and troubleshooting Docker images and containerized services.
 * CI/CD Pipelines: Experience building or maintaining continuous integration and deployment pipelines using tools like Jenkins, GitHub Actions, or GitLab CI.
 * Location: Willingness to work in a hybrid environment in Boston, MA., * Advanced IaC & Containers: Experience with Terragrunt and solid fundamentals working with Kubernetes containers in a Linux/Unix environment.
 * Regulated Environments: AWS GovCloud, FedRAMP, or SOC 2 exposure.
 * AI-Assisted Engineering: Regular use of AI coding assistants in infrastructure work, with judgment about when to trust the output.
 * Developer Experience Tooling: Internal tools or self-service workflows adopted by other engineering teams.

## Description

* Independent Ownership: Within your first 90 days you've shipped an infrastructure change through the full path - module, plan review, apply, monitoring - and by six months you own a Bedrock component (a Redstone stack, a pipeline family, or a tooling area) that teammates come to you about.
 * Terragrunt Modules Contributed: You've authored or refactored reusable OpenTofu/Terragrunt modules that pass review, follow the team's conventions, and are adopted in stacks beyond the one you built them for.
 * Pipelines Measurably Better: Something a product engineering team can name got easier because of your Jenkins work - faster builds or deploys, fewer flaky failures, or quicker recovery - and you can show the before and after.
 * Trusted On-Call: You're a full member of the rotation, your incident handoffs are clear, and the follow-ups you own land as durable fixes with written learnings rather than repeat pages.
 * Lifting Newer Engineers: Your reviews and docs are good enough that a newer engineer or co-op has learned part of the platform from them, and you've paired with or onboarded at least one., * Infrastructure as Code: Design, build, and maintain production cloud resources on AWS (EC2, ECS, S3, IAM) using OpenTofu and Terragrunt.
 * Pipeline Management: Own and improve Jenkins CI/CD pipelines, making it easier and faster for product engineering teams to deploy.
 * Automation Development: Develop internal developer tooling and automation scripts in Python to replace manual operational tasks.
 * Observability & Monitoring: Extend Datadog dashboards and monitors to track key service health and ensure alerts are actionable.
 * Container Operations: Work with Docker containerization to build, maintain, and run images and services.
 * Team Collaboration: Participate in sprint ceremonies, conduct constructive code reviews, handle on-call rotations, and help onboard newer engineers.