Architect and operate high-availability, low-latency cloud infrastructure for real-time AI inference services.
Build and maintain CI/CD pipelines that support rapid, safe iteration across backend and ML systems.
Own production reliability: monitoring, alerting, incident response, and capacity planning.
Lead infrastructure automation using Infrastructure as Code (Terraform, Pulumi, etc.).
Partner closely with backend and ML engineers to productionize new models and services.
Harden our systems for security, compliance, and data protection.
Optimize cost, performance, and scalability as usage grows.
Establish best practices around observability, deployment strategies, and disaster recovery.

Requirements

4+ years experience in DevOps, SRE, or infrastructure engineering roles
Deep experience with at least one major cloud provider (AWS strongly preferred)
Strong production experience with:
Kubernetes & container orchestration
CI/CD systems (GitHub Actions, GitLab CI, etc.)
Infrastructure as Code
Linux & networking fundamentals
Proven track record supporting distributed, high-traffic systems.
Experience implementing monitoring, logging, and alerting (Prometheus, Grafana, Datadog, etc.).
Strong security mindset and experience with secrets management, IAM, and network isolation.

Benefits

Healthcare plans with 100% premium coverage for employees and partial coverage available for dependents
Dental and Vision plans with 100% premium coverage for employees and their dependents
Short/Long-term disability and life insurance plans with 100% premium coverage for employees
FSA/HSA and 401k programs
Equity compensation
20 days of PTO per year
12 weeks of Parental Leave
Learning and Development budget
Monthly wellness benefits
Annual company-sponsored offsite

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

cloud infrastructureCI/CD pipelinesInfrastructure as CodeKubernetescontainer orchestrationLinuxnetworking fundamentalsmonitoringloggingalerting

Soft Skills

production reliabilityincident responsecapacity planningcollaborationbest practices establishment