Platform Engineer

Paperless Parts • Boston, MA

3d • $106,000 - $144,000

About The Position

Paperless Parts is seeking an early-career Platform Engineer I to help build and maintain a scalable, secure, and resilient SaaS platform for modern manufacturing. The role contributes to platform infrastructure, automation, and tooling that help the engineering team work efficiently. The engineer will own well-defined tasks and projects, with senior engineers providing code reviews, mentorship, and guidance. This is an entry-level role on a defined engineering career pathway, with participation in sprint ceremonies and assigned sprint work, and a gradual introduction to the team’s on-call rotation.

The role offers hands-on experience with cloud infrastructure, modern web application stacks, observability, and CI/CD. The engineer will support AWS infrastructure using Terraform, improve Jenkins pipelines, build Datadog dashboards and monitoring, write operational automation scripts, and work with Docker. Paperless Parts describes its culture as collaborative, inclusive, and focused on customer impact, continuous learning, and mutual respect.

Paperless Parts has offices in Boston, Massachusetts, and Encinitas, California. The posting does not specify the work location arrangement for this role. The salary range is $106,000–$144,000. Pay within the range may vary based on factors including education, qualifications, certifications, experience, skills, performance, and business needs. Full-time employees receive the listed benefits. Employees are responsible for adhering to applicable security and privacy requirements, rules, and regulations.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• 0–1 years of professional experience in software, platform, or DevOps engineering; internship or co-op experience counts.
• Working knowledge of a programming or scripting language.
• Basic understanding of and comfort with Linux/Unix command-line tools.
• Familiarity with cloud providers, containerization, infrastructure as code, and CI/CD tools.
• Strong problem-solving skills and attention to detail.
• Excellent verbal and written communication skills and a collaborative mindset, including asking clarifying questions and contributing to team discussions.
• Reliability and ownership of assigned work, with enthusiasm for learning and applying new technologies.
• Demonstrated desire to learn about cloud computing, DevOps principles, and infrastructure automation.

Nice To Haves

• Python experience or knowledge.
• Familiarity with AWS, Azure, or GCP.
• Familiarity with Docker, Terraform, or Jenkins.

Responsibilities

• Develop and maintain infrastructure as code, including writing, testing, and deploying Terraform modules for AWS production resources such as EC2, S3, IAM, and VPC.
• Enhance CI/CD pipelines using tools such as Jenkins.
• Build dashboards and configure Datadog monitoring to track key application health and performance.
• Write and maintain Python or Bash automation scripts for routine operational tasks.
• Work with containerization technologies and concepts using Docker.
• Use AI-assisted coding tools to write, test, and review code.
• Participate in sprint ceremonies and deliver assigned sprint work, with support and code review from senior engineers.
• Join the team’s on-call rotation and learn to respond to alerts as experience grows.
• Adhere to security and privacy requirements, rules, and regulations.

Benefits

• 100% coverage of health, dental, and vision insurance for employees and their dependents.
• Unlimited PTO.
• 13+ paid holidays.
• Company-sponsored wellness stipend.
• Pre-tax commuter benefits.
• Flexible Spending Account (FSA) and Dependent Care FSA.
• 401(k) plan.
• Employee recognition program.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level