Cloud Engineer

New York, NY, US • Posted 30+ days ago • Updated 7 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Provisioning
  • Onboarding
  • Storage
  • Agile
  • Sprint
  • Documentation
  • Economics
  • DevOps
  • Google Cloud
  • Google Cloud Platform
  • Cloud Computing
  • Virtual Private Cloud
  • Computer Networking
  • Terraform
  • Management
  • Migration
  • GitHub
  • Git
  • Workflow
  • OWASP
  • Continuous Integration
  • Continuous Delivery
  • Splunk
  • Dashboard
  • Salesforce.com
  • Mentorship
  • MVP
  • Law

Summary

HBITS: HBITS-07-14828

Senior, Cloud Engineer

30 month contract
Part-Time (37.5 hrs/week negotiable)

Interview: Virtual Interview

Work model: 50% telecommuting, 50% Office per week

--- Project Description ---
The Senior Platform Engineer is a technical contributor on the newly
established Client Platform Services team. This role owns significant
portions of the platform build including CI/CD pipelines, Google Cloud Platform
infrastructure, GKE cluster operations, and the observability stack. The
Senior Platform Engineer works within standards set by the Lead
Platform Engineer and provides day-to-day technical guidance and
mentorship to mid-level engineers on the team.

--- Day-to-Day Tasks ---
1. Design, build, and maintain CI/CD pipelines using Cloud Build, GitHub
Actions, or equivalent
2. Author, review, and maintain Terraform code for Google Cloud Platform infrastructure
provisioning
3. Support GKE cluster build-out, workload onboarding, and cluster
operations
4. Own assigned areas of the observability stack including Splunk
integration, monitoring, and alerting
5. Manage build artifact storage and versioning using Google Cloud Platform Artifact
Registry
6. Maintain and improve existing Salesforce/GearSet deployment
pipelines
7. Maintain SonarQube and GitHub integration for static and dynamic
code analysis
8. Manage Google Cloud Platform resources including compute, networking, IAM, and
secrets management
9. Participate in Agile ceremonies, code reviews, and sprint delivery
10. Provide technical guidance and mentoring to mid-level Platform
Engineers
11. Contribute to team documentation and participate in on-call rotation

Cloud Engineer
Applies engineering disciplines to cloud computing and brings a systematic approach to concerns of commercialization, standardization, and governance of cloud computing applications. Leverages the methods and tools of engineering in conceiving, developing, operating and maintaining cloud computing systems and solutions. Uses the economics of cloud resources to solve business problems.
Senior 60 - 84 months: Candidate is able to work independently, without assistance and provides guidance to others. May have an advanced education.
84 months of experience in platform engineering, DevOps, or cloud
infrastructure, including designing and operating CI/CD pipelines in
production
60 months of experience with Google Cloud Platform, including Compute Engine, GKE, Cloud
Build, Artifact Registry, Secret Manager, VPC networking, and IAM
60 months of experience with Terraform, including module development,
remote state management, and infrastructure migration
60 months of experience with GitHub and Git workflows, including branching
strategies, pull requests, and webhook integrations
48 months of experience with static and dynamic code analysis, including
SonarQube (SAST) and OWASP ZAP or equivalent (DAST) within CI/CD
pipelines
48 months of experience with Splunk for observability, including log
forwarding, pipeline integration, and dashboards
24 months of experience maintaining Salesforce deployment pipelines using
GearSet or equivalent
24 months of experience providing technical mentorship to mid-level
engineers

MVP Consulting Plus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Reasonable accommodations are available for qualified individuals with disabilities during the application process.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10109907
  • Position Id: 69614f48fdb47b8826a8209e742593e6
  • Posted 30+ days ago
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