Senior Site Reliability Engineer, Platform Infrastructure

Cricut® empowers people to make and personalize almost anything—from custom cards and apparel to everyday items and home décor. Our smart cutting machines, design apps, and materials make creativity easy and accessible for everyone. We believe everyone is born creative, and our mission is to put the power of handmade into the hands of all. With a passionate community of Makers around the world, Cricut helps turn inspiration into real, tangible creations—one project at a time.

Let’s make.

We're looking for a Senior Site Reliability Engineer, Platform Infrastructure to take hands-on technical ownership of the architecture, reliability, and scalability of our entire AWS infrastructure. Reporting to the Engineering Manager, Platform Infrastructure & SRE, you'll set technical direction, review designs, and raise the bar for reliability engineering across a growing and globally distributed engineering organization.

This is a senior individual contributor role. You'll work side by side with our onsite SRE team, Software Engineers, and other Lead Engineers to support seamless 24/7 reliability. It's ideal for an AI-forward engineer with a strong software engineering background who uses AI-assisted development tools to move faster, has a passion for infrastructure-as-code, and a proven track record of mentoring engineers to build highly reliable, scalable, and performant systems.

Soft Skills

- Communicates complex technical concepts with clarity—written and verbal—to diverse audiences across engineering, product, and leadership.
- Mentors with intent, with a demonstrated ability to develop engineers and help them grow in their careers.
- Influences without authority, building genuine alignment on reliability and infrastructure standards across teams that don't report to you.
- Stays calm and decisive under production pressure, leading incident response and blameless postmortems that turn outages into durable fixes.
- Stays genuinely curious, tracking advances in cloud infrastructure, reliability engineering, and AI tooling, and pulls the best of what's new into the team's everyday practice.

Responsibilities

Own the architecture, reliability, and scalability of critical AWS infrastructure, working hands-on across the full stack.; Partner with Software Engineers and other Lead Engineers to shape the roadmap and technical strategy for Cricut's platform infrastructure.; Take ownership of our AWS environment, driving best practices in security, cost management, and scalability.; Champion and expand our "infrastructure-as-code" philosophy across the organization.; Use AI-assisted development tools (e.g., Claude Code, GitHub Copilot) to accelerate delivery, applying prompt engineering and context management practices to get reliable results, and evaluate AI/ML infrastructure (e.g., model serving, vector databases, LLM tooling) as it becomes part of the platform.; Oversee production monitoring, incident response, and blameless post-mortem processes to continuously improve system reliability.; Develop and track Service Level Objectives (SLOs) and Service Level Indicators (SLIs) for critical production systems.; Act as a key consultant for our feature-focused pillar and pod teams, ensuring they have the infrastructure resources and support required to deliver their projects successfully.; Mentor software engineers who have an affinity for infrastructure, helping them grow their skills in reliability engineering.; Collaborate closely with the onsite SRE team, sharing the on-call rotation to ensure seamless 24/7 reliability coverage.

Requirements

4+ years of experience in a software engineering or site reliability engineering role.; An AI-forward mindset: fluency with AI-assisted development tools (e.g., Claude Code, GitHub Copilot, Cursor) to accelerate delivery, practical prompt engineering skills, and experience managing context (e.g., structuring prompts, memory, and retrieved data) to keep LLM-based workflows accurate and reliable, plus hands-on exposure to AI/ML infrastructure (e.g., model serving, vector databases, LLM operations).; A strong background in software engineering, ideally with experience in backend microservices (.NET is a strong plus).; Deep, hands-on expertise with AWS and its core services (e.g., EC2, S3, RDS, Kinesis, VPC, IAM).; Proven experience building and managing infrastructure with Infrastructure-as-Code (IaC) tools like Terraform or CloudFormation.; A solid understanding of SRE principles and a proven track record of improving site reliability.; Experience with modern observability, monitoring, and logging platforms, ideally Datadog and OpenTelemetry.; A Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent industry experience.