Required Skills:
- Experience of working with Life Science s customers (preferred but not mandatory)
- Experience with building big data solution and data lakes
- Self-starter with an in-depth hands-on work experience with large-scale implementations of Google Cloud Platform (GCP) – Atleast one implementation with GCP
- Ability to design & implement cloud native solutions on Google cloud platform.
- Design discussions and reviews with Infrastructure, Networking, Security, compliance and big data teams
- Demonstrate Google Cloud Platform & services capabilities through PoC
- Build design and development artifacts, code and scripts to integrate with core infrastructure and taking applications to production
- Build analytics services on GCP
- Build and deploy micro services based applications in public cloud Experience with Continuous Integration & Continuous Deployment tools and processes
- Trouble shooting and finding alternative solutions with team
- Writing and directing team to create operational procedures for operations team
- Working with Product vendor for any product level issues and review
Roles & Responsibilities:
- Deep expertise in Google cloud’s data storage solutions such as BigTable, BigQuery
- Experience with machine learning & AI products on Google cloud platform
- Experience in implementing centralized log solutions
- Experience with designing/ implementing both native & hybrid security solutions on Google cloud which may involve 3rd party security products.
- Experience with infrastructure automation, continuous integration/deployment, SQL/NoSQL, security, networking, and cloud-based delivery models
- Experience with Python, Java programming languages
- Experience with Linux / RHEL 6.x and 7.x / Shell Scripting
- Automation using Ansible or other tools
- Experience in designing solutions involving Compute Engine, Cloud Sql,VPC, Cloud IAM, Cloud SDK, Cloud API
- Container experience with Docker and Kubernetes or other container orchestration platforms
- Experience of building cluster based platform
- Strong Linux Administration skills especially RHEL