Senior Site Reliability Engineer – Cloud & On-Prem

Runlayer; United States; Remote; USD 100,000 - 150,000; Full time

Benefits offered by this job

Competitive salary and equity

Paid time off (4 weeks paid vacation)

Professional development budget

Top-tier equipment provided

Comprehensive health benefits

Customer interaction opportunities

Job summary

Runlayer is looking for a Site Reliability Engineer based in the United States to ensure the reliability, performance, and scalability of their infrastructure. This position offers the opportunity to shape the foundational infrastructure for enterprise AI adoption.

The ideal candidate will have strong expertise in AWS, Kubernetes, and database performance tuning, as well as experience in B2B SaaS environments. The company offers competitive compensation, paid time off, health benefits, and opportunities for professional development.

Qualifications

• Strong AWS experience, especially with ECS, Aurora, and CloudWatch.
• Experience with GCP as cross-cloud expansion is planned.
• Expertise in Kubernetes and container orchestration.
• Previous experience in database reliability engineering and performance tuning.
• Experience managing CI/CD pipelines and incident responses.
• Background at a B2B SaaS company focusing on enterprise customers.

Responsibilities

• Own reliability and performance of cloud infrastructure across AWS and GCP.
• Manage and optimize Kubernetes clusters and orchestration.
• Drive database reliability engineering and performance tuning.
• Build and maintain CI/CD pipelines for rapid deployments.
• Run incident response and participate in on-call rotations.
• Collaborate with product engineers to design resilient systems.

Skills

AWS (ECS, Aurora, CloudWatch)

GCP

Kubernetes and container orchestration

Database performance tuning

CI/CD pipeline ownership

Incident response

B2B SaaS industry experience

Job description

Runlayer is looking for a Site Reliability Engineer based in the United States to ensure the reliability, performance, and scalability of their infrastructure. This position offers the opportunity to shape the foundational infrastructure for enterprise AI adoption.

The ideal candidate will have strong expertise in AWS, Kubernetes, and database performance tuning, as well as experience in B2B SaaS environments. The company offers competitive compensation, paid time off, health benefits, and opportunities for professional development.