Jobs
Benefits & Perks
•Flexible Hours
•Flexible Hours
Required Skills
Cloud Engineering
GCP
Terraform
Ansible
Linux Administration
Docker
Kubernetes
Troubleshooting
Problem-solving
In this Role you will:
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Design and implement Google Cloud and Gemini solutions that meet business requirements.
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Monitor, troubleshoot, and improve system performance to ensure uptime, reliability, and SLA compliance.
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Propose solution architectures and manage the deployment of cloud networking solutions according to customer requirements and implementation best practices.
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Is a key participant in new feature development from an implementation perspective, working closely with leadership and occasionally product and engineering teams.
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Acts as an escalation point for Google Cloud and Gemini implementation-related issues.
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Provide expert level Tier 3 technical infrastructure support services for issues elevated from other support and technical service organizations.
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Contribute to documentation, automation scripts, and internal knowledge sharing to support continuous improvement.
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Participate in special projects and performs other related duties as assigned.
What it Takes:
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Undergraduate degree in a related field or an equivalent combination of training and experience
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5+ years of cloud engineering experience, including at least 2 years working in GCP environments building.
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Strong hands-on expertise with Gemini, Compute Engine, Cloud Functions, VPC, IAM, GKE, and Big Query.
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Experience building infrastructure with Terraform, Ansible, or Deployment Manager.
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Strong knowledge of CI/CD tools such as GitLab CI, Jenkins, or Cloud Build.
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Solid understanding of Linux administration, networking, and containerization (Docker/Kubernetes).
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Strong troubleshooting skills in cloud infrastructure, networking, security best practices, and performance optimization
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Experience supporting Agile/Scrum development environments.
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Excellent analytical and problem-solving skills.
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Excellent written and oral communication skills.
Specializations that’ll have an impact:
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GCP Professional Cloud Architect or DevOps Engineer certification.
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Familiarity with AWS or Azure cloud platforms.
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Scripting experience in Python, Bash, or Go.
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Ability to work under pressure and handle multiple problems simultaneously.
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Experience leading and mentoring staff, technical support organizations.
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Experience with production readiness review process.
Special factors:Vanguard is not offering sponsorship for this role.
Special Factors
Sponsorship
Vanguard is not offering visa sponsorship for this position.
About Vanguard
At Vanguard, we don't just have a mission—we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
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About Vanguard
Reviews
3.4
3 reviews
Work Life Balance
2.5
Compensation
3.2
Culture
2.8
Career
3.5
Management
3.0
45%
Recommend to a Friend
Pros
Competitive compensation package with bonuses
Good foundation for career development
Interesting programs aligned with education
Cons
Long commute requirements (2.5 hours)
Mandatory on-site presence multiple days
Pay below industry standards
Salary Ranges
1,532 data points
Junior/L3
Junior/L3 · Client Relationship Associate
529 reports
$60,018
total / year
Base
$55,076
Stock
-
Bonus
$4,942
$46,375
$78,763
Interview Experience
3 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
Recruiter/HR Phone Screen
3
Technical/Case Study Round
4
Final Round Interview
5
Offer
Common Questions
Behavioral/STAR
Technical Knowledge
Case Study
Past Experience
Culture Fit
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