Artisan AI
Staff Devops Engineer
San Francisco · Staff+
Sponsorship not specifiedDetected 159 days ago
PythonBashPostgreSQLRedisAWSKubernetesTerraformCI/CDPrometheusGrafanaDatadogDevOpsSite Reliability EngineeringMachine LearningData EngineeringAgentic AIAI OrchestrationCybersecurityIncident ResponseComplianceCRMOutbound SalesTest AutomationDNS
About the role
- The infrastructure that makes all of this work reliably is the job.
- We run on AWS with Kubernetes at the core.
- Automated testing, staging environments, rollback strategies, feature flags.
Responsibilities
- We're building AI employees.
- She researches leads, writes and sends emails in a customer's voice, runs multi-step outbound sequences, manages her own deliverability infrastructure, self-optimizes over time, and handles objections and meeting booking.
- Right now we're building Ava 2.0, a step change in what an AI employee can do.
- You'll own cluster management, scaling policies, resource optimization, and the overall compute layer that serves AI workloads, data pipelines, and customer-facing product infrastructure.
- CI/CD and deployment pipelines. We ship constantly. You'll build and maintain the deployment infrastructure that lets engineers release with confidence, multiple times a day. Automated testing, staging environments, rollback strategies, feature flags.
- When an AI agent fails to send an email or a pipeline stalls on lead enrichment, the team needs to know immediately and understand why.
- You'll build the observability layer from the ground up.
- You're building the infrastructure layer for AI employees.
- Email infrastructure, real-time AI orchestration, a database of hundreds of millions of leads, data pipelines, a multi-product platform.
- This is a staff-level hire where you'll set the standards for how Artisan builds, deploys, monitors, and secures its infrastructure.
Requirements
- 6+ years of experience in DevOps, SRE, or infrastructure engineering, with a track record of owning production systems end to end
- Deep expertise with Kubernetes, container orchestration, and cloud-native architecture on AWS
- Experience with monitoring and observability tooling (Datadog, Grafana, Prometheus, or similar)
- Experience operating databases in production (PostgreSQL, Redis, or similar)
Nice to have
- experience with email infrastructure at scale (deliverability, domain/IP management, SMTP)
- experience supporting ML/AI workloads in production
- startup experience where you built the infrastructure function from scratch
Compensation
- Competitive salary + meaningful equity.
Benefits
- Competitive salary + meaningful equity.
Company info
- Introductory chat with our recruiter
- 60-minute technical interview with an engineer
- 30-minute interview with Sam, our CPTO
- Founder mindset.
- Ava makes autonomous decisions, sends real emails to real people, and operates 24/7 on behalf of customers.
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This listing is sourced directly from Artisan AI's careers page and normalized into a canonical job model.