Partner with ML research, data engineering, and application teams to translate requirements into reliable, secure, and cost-effective platform capabilities.
Lead design reviews, RFCs, and proof-of-concepts; mentor team members on cloud, Kubernetes, and data best practices.
Own incident response for platform components and drive continuous improvement through automation and standards.
Design and implement secure, scalable, multi-cloud (GCP + AWS) configurations.
Establish and maintain infrastructure as code (IaC) standards with Terraform.
Lead cloud-to-cloud data migration (e.g., GCS ↔ S3) including secure transfer planning, checksum/manifest validation, parallelization, and cutover strategy.
Implement robust ingestion pipelines for medical images and metadata into structured data stores (e.g., BigQuery/Redshift/Postgres) with schema management, versioning, and data lineage.
Create tools/services for dataset definition, preprocessing, curation, de-identification, and data quality checks.
Architect and manage GPU/CPU clusters for distributed training and batch inference using managed services (e.g., SageMaker) and/or Kubernetes (EKS with autoscaling).
Optimize storage tiers (S3/GCS, Glacier/Archive, Filestore/FSx, EBS/PersistentDisk) and caching strategies for high-throughput image workloads.
Establish cost observability (per team/project/workload) with budgets, alerts, showback/chargeback, and automated idle resource cleanup.
Own permissions and access management across clouds (AWS IAM, GCP IAM) with least privilege, role/attribute-based access, and service identities.
Implement secrets management (e.g., AWS Secrets Manager, GCP Secret Manager, HashiCorp Vault) and key management (KMS).

Requirements

7+ years in DevOps/SRE/Platform roles, including multi-cloud (AWS/Azure/GCP) experience.
Deep proficiency with Terraform, CI/CD (GitHub Actions/GitLab/CodeBuild/Cloud Build), and Kubernetes (EKS/GKE).
Hands-on experience with GPU workloads for ML training/inference and object storage patterns for large image datasets.
Proven track record in data migration (cloud-to-cloud), structured data ingestion (e.g., BigQuery/Redshift/Postgres), and schema/governance.
Strong security mindset: IAM, secrets, KMS, network isolation, private endpoints, encryption, auditability.
Demonstrated cost optimization (FinOps) across compute/storage/networking with measurable savings.
Excellent cross-functional communication; ability to lead architectural direction and mentor engineers.

Benefits

medical
dental
vision
paid time off
a 401(k) plan with employee and company contribution opportunities
life
disability
accident insurance
tuition reimbursement

Applicant Tracking System Keywords

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

Hard Skills & Tools

TerraformKubernetesCI/CDdata migrationstructured data ingestionGPU workloadscost optimizationsecrets managementkey managementincident response

Soft Skills

cross-functional communicationmentoringleadershiparchitectural directioncontinuous improvementsecurity mindset