2 дня назад
Platform Architect (Cloud)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Platform Architect (Cloud): Designing and maintaining secure, scalable cloud platforms for data and analytics workloads with an accent on infrastructure automation, cloud security, and cost optimization. Focus on building Infrastructure as Code frameworks and deployment pipelines, resolving platform vulnerabilities and incidents, and guiding engineering teams on cloud-native architecture.
Location: Bengaluru, India
Company
develops solutions in the data and analytics space.
What you will do
- Design, deploy, and maintain modular cloud platforms for data and analytics workloads.
- Build scalable, secure, highly available infrastructure across AWS, Azure, and Google Cloud.
- Automate infrastructure deployment and manage Infrastructure as Code using Terraform, Terragrunt, and configuration management tools.
- Monitor platform performance, reliability, security, and cost efficiency while resolving deployment issues and vulnerabilities.
- Develop cloud-native platforms, automation frameworks, deployment pipelines, and operational standards.
- Lead incident response and root cause analysis, collaborate with engineering, security, infrastructure, and client teams, and mentor engineers.
Requirements
- 3–5 years of experience in cloud engineering and infrastructure deployment.
- Hands-on experience with AWS, Azure, or Google Cloud and cloud concepts covering compute, storage, networking, security, and cost optimization.
- Experience with Git, GitHub, or Bitbucket; scripting with Python or Java; RDBMS such as Oracle or MySQL; and message queues.
- Experience with DevOps tools including Ansible, Docker, Jenkins, Kubernetes, Maven, and SonarQube.
- Mandatory experience with Google Cloud services including BigQuery, Cloud Storage, Cloud Functions, Dataflow, Cloud SQL, Firestore, Cloud Composer, Compute Engine, App Engine, Kubernetes Engine, Cloud Run, Data Catalog, Pub/Sub, and Vertex AI.
- Experience with AWS Redshift, S3, and Lambda; Azure Blob Storage and SQL Database; and Terraform, Terragrunt, dbt, and Datadog.
Culture & Benefits
- Full-time role with collaboration across engineering, infrastructure, security, development, and operations teams.
- Work focused on secure, scalable, cost-optimized cloud implementations.
- Opportunity to provide technical guidance and establish platform architecture and operational best practices.
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