Cloud Infrastructure Experts Sought
We are looking for highly skilled professionals with expertise in cloud infrastructure. Our ideal candidate has a strong background in managing and optimizing virtual machines, containers, and serverless computing on GCP (e.g., Compute Engine, Kubernetes Engine, Cloud Functions).
In-depth knowledge of VPCs, subnets, firewalls, VPNs, and hybrid connectivity solutions (e.g., Cloud Interconnect, Cloud VPN) is also required.
Experience with various storage solutions, including Cloud Storage, Persistent Disks, Filestore, and database services like Cloud SQL, Bigtable, and Firestore, is essential.
Solid understanding of Identity and Access Management (IAM) roles, policies, and best practices for securing cloud resources is needed.
Affinity with encryption, key management (e.g., Cloud KMS), and data loss prevention (DLP) services is also necessary.
Familiarity with compliance standards and implementing security controls to meet regulatory requirements is important.
Proficiency in using HashiCorp Vault for secrets management, encryption, and access control is required.
Scripting Languages: Proficiency in scripting languages such as Python, Bash, and PowerShell for automating tasks and managing cloud resources.
Infrastructure as Code (IaC): Experience with IaC tools like Terraform, Cloud Deployment Manager, and Ansible for provisioning and managing infrastructure.
CI/CD Pipelines: Knowledge of continuous integration and continuous deployment (CI/CD) tools and practices (e.g., Jenkins, GitLab CI, Cloud Build).
Containerization: Expertise in containerization technologies (e.g., Docker) and orchestration platforms (e.g., Kubernetes).
Monitoring and Logging: Proficiency in monitoring and logging tools (e.g., Stackdriver, Prometheus, Grafana) to ensure the health and performance of cloud environments.
Incident Management: Experience with incident response and management tools (e.g., PagerDuty, Opsgenie) to handle and resolve issues promptly.
Data and Analytics: Knowledge of big data processing and analytics services (e.g., BigQuery, Dataflow, Dataproc) for handling large-scale data workloads.
Mechanical skills through a holistic approach that integrates strategy, technology, and organizational processes to optimize business results, customer experience, and stakeholder value.
We foster an inclusive culture that provides equal opportunities to individuals from all backgrounds and helps our employees grow professionally and personally.