What are the responsibilities and job description for the Sr. Cloud Platform / DevOps Engineer position at W3Global Inc.?
Title: Sr. Cloud Platform / DevOps EngineerLocation: New York, NY, Remote: Yes Minimum Years Of Experience: 10 Leading Skills: Cloud & DevOps, GDM/Dept headDescriptionseeks an Sr. Cloud Platform/DevOps engineer to augment the Cloud Platform Engineering team. The engineer will operate as an embedded engineer, supporting day-to-day sprint priorities and contributing to various cloud infrastructure, Kubernetes, CI/CD, security, and platform automation initiatives. This engagement is execution-focused, with an emphasis on GCP, AWS, Terraform, Kubernetes, GitOps workflows, DevSecOps, and automation-driven engineering.Role: The engineer may be asked to contribute to one or more of the following initiatives during the engagement: GCP Hosted Looker Network Setup (Prod Environment) Potential Deliverables:• Production-ready GCP network configuration for Hosted Looker• Terraform modules and GitOps-reviewed deployment artifacts GCP Security Audit Remediation (Project Secure) Potential Deliverables:• Completed InfoSec remediation items• Updated Terraform modules and documentation reflecting required controls FinOps Year-End Optimization & Cast.AI Expansion Potential Deliverables:• AWS Account cleanup and suspension• Identified GCP cost optimization opportunities (e.g. unused or orphaned resources, underutilized Cloud Platform / DevOps Consultantseeks an experienced Cloud Platform/DevOps consultant to augment the Cloud Platform Engineering team. The consultant will operate as an embedded engineer, supporting day-to-day sprint priorities and contributing to various cloud infrastructure, Kubernetes, CI/CD, security, and platform automation initiatives. This engagement is execution-focused, with an emphasis on GCP, AWS, Terraform, Kubernetes, GitOps workflows, DevSecOps, and automation-driven engineering.Engagement Model: The consultant will work as an integrated member of the Cloud Platform Engineering team, contributing to any active sprint priorities as assigned. Work may span platform improvements, operational support, incident response, engineering execution, and cross-team collaboration. Tavant will set priorities on a weekly or sprint basis; the consultant must be able to pivot as needed and deliver high-quality, reliable engineering output. Potential Project AssignmentsThe consultant may be asked to contribute to one or more of the following initiatives during the engagement: GCP Hosted Looker Network Setup (Prod Environment)Potential Deliverables:• Production-ready GCP network configuration for Hosted Looker• Terraform modules and GitOps-reviewed deployment artifacts GCP Security Audit Remediation (Project Secure) Potential Deliverables:• Completed InfoSec remediation items• Updated Terraform modules and documentation reflecting required controls FinOps Year-End Optimization & Cast.AI Expansion Potential Deliverables:• AWS Account cleanup and suspension• Identified GCP cost optimization opportunities (e.g. unused or orphaned resources, underutilized, etc.)• Executed right-sizing/scale-down changes• Cast.AI rollout updates for target clusters Credentials DB Migration (MongoDB → Firestore) Potential Deliverables:• Firestore infrastructure and IaC configurations• Migration support artifacts, testing results, and documentation GKE Upgrades & Cluster Modernization Potential Deliverables:• Validate GKE upgrade path, provide documentations, and support• Updated charts, workloads, and platform components supporting upgrades General Cloud Platform Engineering Support Potential Deliverables:• Participate in the Systems Support channel to assist engineers with issues related to cloud services, CI/CD, Artifactory, Terraform, Kubernetes, and platform tooling• Identify opportunities to streamline support, reduce repetitive toil through automation, improve documentation, and enhance developer self-service• Ensure that larger engineering asks are properly captured in Jira, triaged, and funneled into sprint planning instead of ad-hoc or chat-only support• Troubleshoot deployment, build, and configuration issues in partnership with application teams• Improve platform reliability, observability, and operational excellence via incremental changes Required Skills & Qualifications• Strong experience with GCP and AWS cloud engineering• Advanced proficiency in Terraform and IaC patterns• Deep hands-on experience with Kubernetes (GKE) and GitOps tooling (ArgoCD preferred)• Solid understanding of VPC networking, IAM, and InfoSec controls Strong scripting ability (Python, Go, or Bash)• Excellent written and verbal communication skills; ability to support, guide, and occasionally coach engineering teams• Prior experience in platform engineering, infrastructure automation, or DevOps roles, etc.)• Executed right-sizing/scale-down changes• Cast.AI rollout updates for target clusters Credentials DB Migration (MongoDB → Firestore)Potential Deliverables:• Firestore infrastructure and IaC configurations• Migration support artifacts, testing results, and documentation GKE Upgrades & Cluster Modernization Potential Deliverables:• Validate GKE upgrade path, provide documentations, and support• Updated charts, workloads, and platform components supporting upgrades General Cloud Platform Engineering SupportPotential Deliverables:• Participate in the Systems Support channel to assist engineers with issues related to cloud services, CI/CD, Artifactory, Terraform, Kubernetes, and platform tooling• Identify opportunities to streamline support, reduce repetitive toil through automation, improve documentation, and enhance developer self-service• Ensure that larger engineering asks are properly captured in Jira, triaged, and funneled into sprint planning instead of ad-hoc or chat-only support• Troubleshoot deployment, build, and configuration issues in partnership with application teams• Improve platform reliability, observability, and operational excellence via incremental changes Required Skills & Qualifications• Strong experience with GCP and AWS cloud engineering• Advanced proficiency in Terraform and IaC patterns• Deep hands-on experience with Kubernetes (GKE) and GitOps tooling (ArgoCD preferred)• Solid understanding of VPC networking, IAM, and InfoSec controls Strong scripting ability (Python, Go, or Bash)• Excellent written and verbal communication skills; ability to support, guide, and occasionally coach engineering teams• Prior experience in platform engineering, infrastructure automation, or DevOps rolesMandatory SkillsEngineer to augment the Cloud Platform Engineering team. The engineer will operate as an embedded engineer, supporting day-to-day sprint priorities and contributing to various cloud infrastructure, Kubernetes, CI/CD, security, and platform automation initiatives. This engagement is execution-focused, with an emphasis on GCP, AWS, Terraform, Kubernetes, GitOps workflows, DevSecOps, and automation-driven engineering.
Salary : $55 - $60