Senior platform engineer (IC-3)

At Moxie, we empower ambitious aesthetic entrepreneurs to build profitable, independent practices—without burnout, overwhelm, or guesswork. In just a few years, we’ve grown from an idea to a global, remote-first team of more than 140 people, supporting hundreds of practices nationwide.

Our purpose is simple: to unlock sustainable success for aesthetic entrepreneurs, at every stage of their journey.

Remote, Full-time
Location: Fully Remote (Work from Home)
Working hours: Core overlap with 9 AM – 5 PM EST (flexible schedules between 7 AM – 8 PM EST)

Moxie empowers aesthetic industry professionals to become successful entrepreneurs. We provide a sophisticated SaaS platform that simplifies the operational complexities of running MedSpas, enabling nurses and medical professionals to launch, operate, and grow their businesses across the country.

Hundreds of customers rely on Moxie Suite to run their MedSpas end-to-end: scheduling, medical purchasing, payments and invoicing, bookkeeping, analytics, and more. The platform operates at real-world scale and reliability requirements, integrating with systems such as AWS, Vercel, Cloudflare, Stripe, Twilio, Datadog, and others.

We are a fast-growing company focused on building reliable infrastructure, strong developer experience, and operational excellence as we scale.

We are looking for a Senior Platform Engineer to help own and evolve the systems that enable Moxie engineers to ship safely, quickly, and reliably.

This role sits at the intersection of DevOps and SRE. You will work on cloud infrastructure, CI/CD pipelines, deployment workflows, local development environments, observability, and operational tooling. You’ll partner closely with product engineering teams, but your primary responsibility is the health, reliability, and usability of the platform itself.

This is a hands-on individual contributor role with meaningful ownership, but no people management responsibilities.

• Own and operate core platform systems across AWS, GCP, Vercel, Github, and Cloudflare

• Improve reliability, scalability, and security of production and non-production environments

• Maintain and evolve infrastructure supporting multiple services and teams

• Participate in on-call rotations and incident response as needed

• Own and improve CI/CD pipelines (GitHub Actions), focusing on speed, reliability, and clarity

• Improve deployment workflows, rollbacks, and environment consistency

• Reduce deployment-related risk and manual intervention

• Partner with engineers and our QA team to improve release confidence and velocity

• Improve local development environments and onboarding experience for engineers

• Reduce friction in common workflows (setup, testing, debugging)

• Maintain tooling and documentation that helps engineers move faster with confidence

• Own and improve monitoring, logging, and alerting using Datadog, AWS, Vercel and related tools

• Ensure systems are observable and failure modes are well understood

• Help teams learn from incidents through postmortems and follow-ups

• Balance reliability with delivery speed through pragmatic SRE practices

• Work closely with the product engineering team to understand platform pain points and improve local development experience.

• Provide guidance and support on infrastructure, deployments, and operational best practices

• Contribute to platform standards and shared tooling through collaboration, not mandates
  

• 5+ years of experience in platform, DevOps, or SRE-focused roles

• Strong experience operating production systems on AWS (certifications strongly preferred), Vercel, and/or GCP

• Experience building and maintaining CI/CD pipelines (GitHub Actions or similar)

• Strong understanding of cloud networking, security fundamentals, and IAM

• Experience with observability tooling (Datadog preferred)
  Ability to troubleshoot production issues calmly and systematically

• Excellent written and verbal communication skills in English (C1 or higher).
  

• Experience with Cloudflare (DNS, WAF, edge configuration)

• Experience with Agentic and LLM based tooling and automations (Cursor, Codex, Claude Code, etc)

• Experience improving local development tooling (ie Docker, Husky, bash)

• Familiarity with infrastructure-as-code (Terraform or similar)

• Experience supporting regulated or compliance-sensitive environment

• Experience working with PII, PHI, and sensitive data systems in general.

• Cloud & Infrastructure: AWS, GCP, and Vercel

• Edge & Security: Cloudflare

• CI/CD: GitHub Actions

• Observability: Datadog

• Database: AWS RDS (postgres)

• Version Control: Git, GitHub

• AI / LLM Tooling: Claude Code, Gemini, Cursor, CodeRabbit, Glean, Codex

• Backend Services: Python, Django (operational ownership, not feature dev)
  

At Moxie, we believe in creating a workplace where everyone feels valued, trusted, and included. Our team lives by our values: act as owners, give more than we take, move with speed and care, and simplify and learn every day.

We welcome people of all backgrounds, experiences, and perspectives to apply. If you require any accommodations to fully participate in the interview process, please let us know, we’re happy to assist.