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Apollo HealthAxis - Cloud Architect
Apollo HealthAxis - Cloud ArchitectApollo HealthAxis • Hyderabad
Apollo HealthAxis - Cloud Architect

Apollo HealthAxis - Cloud Architect

Apollo HealthAxis • Hyderabad
1 day ago
Job description

Description :

Role : GCP Cloud Architect.

Location : Hyderabad.

Notice period : Immediate joiners needed.

Shift timings : US Time zones.

Work Mode : Work from Office.

Job description : Opportunity :

We are seeking a highly skilled and experienced GCP Cloud Architect to join our dynamic technology team.

You will play a crucial role in designing, implementing, and managing our Google Cloud Platform (GCP) infrastructure, with a primary focus on building a robust and scalable Data Lake in BigQuery.

You will be instrumental in ensuring the reliability, security, and performance of our cloud environment, supporting critical healthcare data initiatives.

This role requires strong technical expertise in GCP, excellent problem-solving abilities, and a passion for leveraging cloud technologies to drive impactful solutions within the healthcare domain.

Responsibilities :

Cloud Architecture & Design :

  • Design and architect scalable, secure, and cost-effective GCP solutions, with a strong emphasis on BigQuery for our Data Lake.
  • Define and implement best GCP infrastructure management, security, networking, and data governance practices.
  • Develop and maintain comprehensive architectural diagrams, documentation, and standards.
  • Collaborate with data engineers, data scientists, and application development teams to understand their requirements and translate them into robust cloud solutions.
  • Evaluate and recommend new GCP services and technologies to optimize our cloud environment.
  • Understand and implement the fundamentals of GCP, including resource hierarchy, projects, organizations, and billing.

GCP Infrastructure Management :

  • Manage and maintain our existing GCP infrastructure, ensuring high availability, performance, and security.
  • Implement and manage infrastructure-as-code (IaC) using tools like Terraform or Cloud Deployment Manager.
  • Monitor and troubleshoot infrastructure issues, proactively identifying and resolving potential problems.
  • Implement and manage backup and disaster recovery strategies for our GCP environment.
  • Optimize cloud costs and resource utilization, including BigQuery slot management.
  • Collaboration & Communication :

  • Work closely with cross-functional teams, including data engineering, data science, application development, security, and compliance.
  • Communicate technical concepts and solutions effectively to both technical and non-technical stakeholders.
  • Provide guidance and mentorship to junior team members.
  • Participate in on-call rotation as needed.
  • Develop and maintain thorough and reliable documentation of all cloud infrastructure processes, configurations, and security protocols.
  • Qualifications :

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Minimum of 5-8 years of experience in designing, implementing, and managing cloud infrastructure, with a strong focus on Google Cloud Platform (GCP).
  • Proven experience in architecting and implementing Data Lakes on GCP, specifically using BigQuery.
  • Hands-on experience with ETL / ELT processes and tools, with strong proficiency in Google Cloud Composer (Apache Airflow).
  • Solid understanding of GCP services such as Compute Engine, Cloud Storage, Networking (VPC, Firewall Rules, Cloud DNS), IAM, Cloud Monitoring, and Cloud Logging.
  • Experience with infrastructure-as-code (IaC) tools like Terraform or Cloud Deployment Manager.
  • Strong understanding of security best practices for cloud environments, including identity and access management, data encryption, and network security.
  • Excellent problem-solving, analytical, and troubleshooting skills.
  • Strong communication, collaboration, and interpersonal skills.
  • Bonus Points :

  • Experience with Apigee for API management.
  • Experience with containerization technologies like Docker and orchestration platforms like Cloud Run.
  • Experience with Vertex AI for machine learning workflows on GCP.
  • Familiarity with GCP Healthcare products and solutions (e.g., Cloud Healthcare API).
  • Knowledge of healthcare data standards and regulations (e.g., HIPAA, HL7, FHIR).
  • GCP Professional Architect certification.
  • Experience with scripting languages (e.g., Python, Bash).
  • Experience with Looker.
  • (ref : hirist.tech)

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