For companies:
For professionals:
For everyone:
Responsibilities
Scaling AI infrastructure isn't just a cloud problem. It's a leadership problem.As AI systems move from experimentation into production, infrastructure leaders have to solve several problems at once:Multi-cloud scalabilityReliability and observabilitySecurity and complianceDeveloper velocityCost controlIncident response and operational maturityBuilding the team and culture needed to operate all of itMicro1 is looking for a Director of Infrastructure Engineering to own the strategy and execution behind the infrastructure powering production AI systems.The role spans:AWS + GCPInfrastructure as Code / TerraformKubernetes & containersCI/CDObservabilitySRE / SLOs / incident responseInfrastructure security & complianceIt's a genuinely hands-on leadership role — from defining long-term infrastructure strategy to solving production incidents and mentoring engineering teams.The strongest candidates have:8+ years building production infrastructure, platform engineering, DevOps, or SRE systems3+ years leading engineering teamsDeep AWS/GCP or multi-cloud experienceStrong Terraform, Kubernetes, and CI/CD experienceExperience building highly available and resilient systemsStrong security and operational risk expertiseAI/ML infrastructure, large-scale data platforms, FedRAMP, GovCloud, or CMMC experience is a strong plus.The compensation notice lists a $230K–$260K base salary, plus equity, potential performance bonuses, and benefits.
Closes in:
0
days
0
hours
0
min
0
sec
tune NOT FOR YOU? IMPROVE YOUR RESULTS