Senior DevOps Engineer - GCP & AI/ML Pipelines

MSRcosmos LLC

Atlanta (GA)

Sur place

USD 140 000 - 210 000

Plein temps

Il y a 10 heures
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Résumé du poste

MSRcosmos LLC seeks an experienced DevOps/Cloud Engineer to advance cloud-native AI/ML pipelines on Google Cloud. You’ll design scalable data infra, manage artifacts with JFrog Artifactory, and build secure, automated CI/CD loops across teams.

You will collaborate with Product, Data Science, and Infrastructure to deliver high-impact features, mentor junior engineers, and drive best practices in IAM, encryption, and cost optimization.

Qualifications

  • 5+ years of DevOps or cloud engineering experience.
  • Proficiency in Databricks and data engineering.
  • Experience with CI/CD and GitOps methodologies; API development.
  • Familiarity with JFrog Artifactory for artifacts and images.
  • Experience designing and maintaining applications on Google Cloud (GKE, Cloud Run, serverless).
  • Experience with GCP data services (BigQuery, Spanner, AlloyDB, Cloud Storage).
  • Experience with event-driven systems (Pub/Sub, Kafka).
  • Infrastructure as Code with Terraform.
  • Knowledge of IAM, encryption, and security best practices in GCP.
  • Repository management in Azure DevOps (ADO).

Responsabilités

  • Develop LLM applications leveraging Google's Gemini API for language tasks.
  • Design and implement scalable AI/ML pipelines using Databricks and Python.
  • Develop cloud-native solutions on Google Cloud, using AlloyDB and CloudRun for persistence and containers.
  • Build and optimize APIs with Google Cloud API Gateway; ensure security and monitoring.
  • Establish DevOps and artifact management practices with JFrog Artifactory.
  • Lead technical design reviews and provide mentorship to junior engineers.
  • Implement CI/CD pipelines focusing on artifact management, versioning, and deployment automation.
  • Collaborate with Product, Data Science, and Infrastructure teams to deliver features.

Connaissances

DevOps
Cloud engineering
Databricks
CI/CD
GitOps
GCP - GKE/Cloud Run/serverless
BigQuery/Spanner/AlloyDB/Cloud Storage
Pub/Sub/Kafka
Terraform
Data ingestion pipelines
IAM & security in GCP
ADO (Azure DevOps)
API development
Jfrog Artifactory

Outils

Jfrog Artifactory
Google Cloud API Gateway
Cloud Run
GKE
Terraform

Description du poste

MSRcosmos LLC seeks an experienced DevOps/Cloud Engineer to advance cloud-native AI/ML pipelines on Google Cloud. You’ll design scalable data infra, manage artifacts with JFrog Artifactory, and build secure, automated CI/CD loops across teams.

You will collaborate with Product, Data Science, and Infrastructure to deliver high-impact features, mentor junior engineers, and drive best practices in IAM, encryption, and cost optimization.

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