Own reliability and performance of our cloud infrastructure across AWS (ECS, Aurora, CloudWatch) and GCP
Manage and optimize Kubernetes clusters and container orchestration
Drive database reliability engineering, including performance tuning and scaling
Build and maintain CI/CD pipelines for rapid, safe deployments
Run incident response and on-call rotations
Partner with product engineers to design scalable, resilient systems
Requirements
Strong AWS experience, particularly ECS, Aurora, and CloudWatch
GCP experience as we expand cross-cloud
Kubernetes and container orchestration expertise
DBRE experience with database performance tuning
CI/CD pipeline ownership and incident response experience
Background at a B2B SaaS company serving enterprise customers, ideally in infrastructure
Bonus Qualifications: Experience deploying and supporting on-prem or hybrid environments, Python backend familiarity (our platform is Python-based), Experience at an early-stage or high-growth company
Tech Stack
AWS
Cloud
Google Cloud Platform
Kubernetes
Python
Benefits
Competitive salary and equity — compensation that reflects your expertise and customer-facing responsibilities.
Paid time off — 4 weeks paid vacation, paid sick leave, and paid parental leave.
Professional development — budget for conferences, courses, and certifications in AI, enterprise software, and customer success.
Top-tier equipment — your choice of laptop and accessories to create your ideal work environment.
Health benefits — comprehensive health, dental, and vision coverage.
Customer interaction opportunities — work directly with innovative companies and see the immediate impact of your work.