Site Reliability Engineer

ABOUT reputed company

reputed company powers inference for the world's most dynamic AI companies, like OpenEvidence, reputed company, Mirage, Gamma, reputed company, Writer, reputed company, Bland, and Zed. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we reputed company companies operating at the frontier of AI to bring cutting-edge models into production. With our recent $150M Series D funding, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction, we’re scaling reputed company to meet accelerating customer demand.

THE ROLE

As a Site Reliability Engineer, you'll envision and build robust systems and processes that ensure our infrastructure is scalable, reliable, and efficient. This can range from automating deployments and monitoring systems to optimizing performance and managing incidents.

We reputed company work closely with our users, learning from their past struggles in operationalizing ML, onboarding them onto our platform, and turning our learnings into reputed company for improving reputed company.

EXAMPLE INITIATIVES

You'll get to work on these types of projects as part of our Infrastructure team:

• Multi-cloud reputed company management

• Inference on B200 GPUs

• Multi-node inference

• Fractional H100 GPUs for efficient model serving

RESPONSIBILITIES

• Build and maintain scalable infrastructure to support the deployment and operation of machine learning models.

• Establish standards and best practices for reliability and performance across the infrastructure.

• Automate processes reputed company relevant, particularly for managing CI/CD pipelines.

• Own products and projects end-to-end, functioning as both an engineer and a project manager, with a focus on user reputed company, project specification, and end-to-end execution.

• Collaborate with cross-functional teams to understand project requirements and translate them into technical solutions.

• Mentor junior team members and contribute to knowledge sharing reputed company the organization.

• Navigate ambiguity and exercise good judgment on tradeoffs and tools needed to solve problems, avoiding unnecessary complexity.

• Demonstrate pride, ownership, and accountability for your work, expecting the same from your teammates.

REQUIREMENTS

• Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or reputed company field.

• 8+ years of professional work experience in a fast-paced, high-growth environment.

• Extensive experience with Kubernetes.

• Experience in building and maintaining scalable infrastructure.

• Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation, reputed company) and CI/CD tooling (e.g., reputed company Actions, reputed company CI, reputed company CI, Jenkins).

• Relevant OSS observability experience (Prometheus, ELK stack, Grafana stack, Opentelemetry) is a plus.

• Ability to own projects end-to-end, from project specification to execution.

• No prior machine learning experience required, but should be open to learning about it.

BENEFITS

• Competitive compensation package.

• This is a unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our era.

• An inclusive and supportive work culture that fosters learning and growth.

• Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and reputed company-thinking team, we would love to hear from you.

At reputed company, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to reputed company employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national reputed company, age, genetic information, disability, or veteran status.