Sr. Cloud Platform / DevOps Engineer with Google Cloud Platform
Posted 4 days ago by Dminds Solutions Inc.
Negotiable
Undetermined
Remote
Remote
Summary: The Sr. Cloud Platform / DevOps Engineer will join the Cloud Platform Engineering team to support various cloud infrastructure initiatives, focusing on Google Cloud Platform and AWS. The role emphasizes execution in areas such as Kubernetes, CI/CD, and platform automation. The engineer will be responsible for contributing to sprint priorities and delivering high-quality engineering output. This position is fully remote and requires strong technical expertise in cloud engineering and automation practices.
Key Responsibilities:
- Support day-to-day sprint priorities and contribute to cloud infrastructure initiatives.
- Engage in Google Cloud Platform network configuration and security audit remediation.
- Participate in AWS account cleanup and identify cost optimization opportunities.
- Assist in the migration of databases and support GKE upgrades and cluster modernization.
- Provide general cloud platform engineering support and troubleshoot deployment issues.
Key Skills:
- Strong experience with Google Cloud Platform and AWS cloud engineering.
- Advanced proficiency in Terraform and Infrastructure as Code (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 in Python, Go, or Bash.
- Excellent written and verbal communication skills.
- Prior experience in platform engineering, infrastructure automation, or DevOps roles.
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Detailed Description From Employer:
Job Title: Sr. Cloud Platform / DevOps Engineer with Google Cloud Platform
Location: New York, NY (100% Remote)
Duration: 6+ Months Contracts
Description
Client seeks 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 Google Cloud Platform, 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: Google Cloud Platform Hosted Looker Network Setup (Prod Environment) Potential Deliverables:
- Production-ready Google Cloud Platform network configuration for Hosted Looker
- Terraform modules and GitOps-reviewed deployment artifacts Google Cloud Platform 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 Google Cloud Platform cost optimization opportunities (e.g. unused or orphaned resources, underutilized Cloud Platform / DevOps Consultant
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 Assignments
The consultant may be asked to contribute to one or more of the following initiatives during the engagement: Google Cloud Platform Hosted Looker Network Setup (Prod Environment)
Potential Deliverables:
- Production-ready Google Cloud Platform network configuration for Hosted Looker
- Terraform modules and GitOps-reviewed deployment artifacts Google Cloud Platform 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 Google Cloud Platform 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 Google Cloud Platform 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 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 Google Cloud Platform 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
Mandatory Skills
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 Google Cloud Platform, AWS, Terraform, Kubernetes, GitOps workflows, DevSecOps, and automation-driven engineering.