Offer summary

Qualifications:

At least 3 years of experience in DevOps, SRE, or infrastructure roles., Proficiency in Python or Golang programming languages., Hands-on experience with Kubernetes in production environments., Strong understanding of modern DevOps principles, automation, and fault-tolerance..

Key responsibilities:

Design, build, and maintain scalable compute infrastructure across cloud and bare metal environments.

Develop and operate storage solutions for large-scale AI datasets.

Create high-performance inference systems optimized for GPU environments.

Automate infrastructure workflows to improve reliability and performance.

Job description

About the Role

We’re looking for a Senior Infrastructure Engineer to help us design, build, and scale the foundational architecture that powers our next-generation AI systems. This role is ideal for someone who thrives in a fast-paced, engineering-driven environment and finds joy in creating robust, elegant systems from scratch.

What You’ll Do

Build and maintain stable, scalable, and highly available compute infrastructure, spanning cloud (AWS) and bare metal environments.
Design and operate efficient storage solutions for large-scale AI training datasets and checkpoints.
Develop high-performance online inference systems, optimizing for diverse GPU environments (e.g., H100, B200).
Automate infra workflows to maximize reliability, observability, and performance across our platform.
Collaborate closely with AI researchers and backend engineers to support evolving model deployment and experimentation needs.
Lead and contribute to internal tooling, CI/CD pipelines (e.g., GitHub Actions), and monitoring infrastructure (e.g., Grafana, Prometheus, OpenTelemetry).

What We’re Looking For

3 years+ of experience in DevOps / SRE / Infra.
Strong programming ability in Python or Golang (must be proficient in at least one).
Production-level experience with Kubernetes in daily operations.
Deep understanding of modern DevOps / SRE / Infra principles, especially around scalability, automation, and fault-tolerance.
Hands-on experience with AWS services (e.g., EC2, S3, EKS, IAM, RDS, CloudFront).
Ability to work independently, lead projects, and become a subject matter expert.
Strong communication skills and a collaborative, self-motivated mindset.

Nice to Have

A tinkerer’s spirit - you enjoy hacking, experimenting, and building things for fun or learning. Examples we value:

Running your own home lab or mini data center.
Building clever side projects or open-source tools.
Writing high-quality technical articles or contributing to public repos.
Developing lightweight, efficient tooling for infra monitoring or ops.

Contributions to the open-source community or prior experience maintaining open/closed source systems.
Familiarity with model training workflows (e.g., LLMs, GPUs, large data IO).
Interest in working directly with AI researchers and understanding model performance trade-offs.

Our Values

Brain: We value intelligence and the pursuit of knowledge. Our team is composed of some of the brightest minds in the industry.
Heart: We care deeply about our work, our users, and each other. Empathy and passion drive us forward.
Gut: We trust our instincts and are not afraid to take bold risks. Innovation requires courage.
Taste: We have a keen eye for quality and aesthetics. Our products are not just functional but also beautiful.

Why Join Meshy?

Competitive salary, equity, and benefits package.
Opportunity to work with a talented and passionate team at the forefront of AI and 3D technology.
Flexible work environment, with options for remote and on-site work.
Opportunities for fast professional growth and development.
An inclusive culture that values creativity, innovation, and collaboration.

Benefits