GCP Recruiters
No postings. No stacks of resumes. No chasing. You interview a short list.
No upfront fee. You pay only if you hire.
Need someone now? Call 305-306-4829.
This is what we do all day: recruit technology and IT professionals.
Find people who have built and operated GCP in production.
No upfront fee. You pay only if you hire.
No upfront fee. You pay only if you hire. We offer a candidate replacement guarantee on standard search agreements. The applicable period and exact terms are set out in the signed client recruiting agreement.
What happens next
- Do I pay upfront?
- No upfront fee. You pay only if you hire.
- Must I give you exclusivity?
- We do not promise or require exclusivity here. Any terms are in the recruiting agreement we refer you to.
- Will you reveal my company?
- Not without your explicit consent before we disclose anything.
- What if I do not hire?
- No hire, no fee.
- No upfront fee
- Pay only if you hire
- Technology only
- We reach engineers who aren't on job boards
- Replacement guarantee on standard searches
Need someone now? Call 305-306-4829.
What this hire really comes down to
GCP professionals architect high availability systems that uses massive scale for global distribution. These engineers master the nuances of cloud native services like BigQuery for analytics and Google Kubernetes Engine for container orchestration. Success requires deep understanding of IAM policies, VPC design, and serverless compute models to ensure reliable software delivery across highly complex, distributed production environment infrastructures.
Engineers operating within this stack frequently bridge the gap between traditional enterprise requirements and modern agile cloud methodologies. Whether migrating monolithic legacy applications or developing new AI native platforms, the work involves balancing cost optimization with performance. Professionals must translate business constraints into reliable cloud architectures that utilize native tools to monitor, secure, and manage large-scale data workloads.
What we check before you see anyone
Certification validation
The candidate must hold active Professional Cloud Architect or Data Engineer certifications. These credentials signify a verified depth of knowledge regarding core platform capabilities and recommended architectural patterns. We look for evidence that the engineer maintains these credentials through continuous learning, keeping pace with frequent service updates and evolving best practices essential for building stable cloud infrastructures for our diverse client portfolio.
BigQuery proficiency
We assess technical fluency in BigQuery by evaluating a candidate's experience with large-scale data modeling and complex SQL query optimization. Successful engineers demonstrate an ability to partition tables effectively, utilize nested data structures, and implement cost-aware processing strategies. This proficiency is vital for teams operating in data-intensive sectors where processing speed and budgetary efficiency are critical project success indicators.
GKE expertise
Experience with Google Kubernetes Engine involves demonstrating competence in cluster scaling, node pool configuration, and reliable network policy implementation. We investigate how candidates approach container lifecycle management and service mesh integration within production environments. Technical mastery here ensures that application deployment processes are secure, scalable, and resilient against typical failures while supporting continuous integration and delivery pipelines for complex services.
Network architecture
Candidates are screened for their aptitude in designing secure VPC market including subnet planning, firewall rule definition, and Cloud Armor implementation. We focus on how they manage hybrid connectivity solutions using dedicated interconnects or VPN tunnels. Deep expertise in global routing and traffic management is a mandatory requirement to ensure reliable communication between disparate microservices hosted within the GCP ecosystem.
Identity management
Evaluating IAM expertise requires understanding fine-grained access control, service account impersonation, and workload identity federation. We look for candidates who prioritize the principle of least privilege, ensuring that every service has strictly defined permission sets. Proficiency in auditing logs and monitoring access patterns is critical for maintaining compliance across healthcare, finance, and other highly regulated industries served by our partners.
Infrastructure automation
We test for proficiency in Infrastructure as Code using tools like Terraform or Deployment Manager to ensure repeatable environment provisioning. The candidate should demonstrate an ability to manage cloud resources programmatically rather than via manual console actions. This requirement ensures that infrastructure changes are version-controlled, testable, and auditable, which represents a fundamental part for maintaining operational excellence in modern cloud engineering.
Where we find them
We identify talent by engaging with infrastructure engineers currently working at major systems integrators and specialized cloud consulting firms. These professionals often possess deep exposure to complex migration projects across multiple industry verticals. We prioritize those who have demonstrated success in implementing cloud native architectures that handle significant traffic volume while maintaining strict security postures and regulatory compliance standards.
Beyond established consultancies, we scan ecosystems populated by open-source contributors and technical authors who publish documentation regarding platform optimizations. These individuals often demonstrate a proactive approach to solving architectural challenges, reflecting the passion and depth required for senior roles. By focusing on practitioners who contribute to common cloud utility libraries, we connect with highly engaged technology experts.
Mistakes we see
Treating a credential as the answer
Do not let certification validation become a keyword filter. We look for evidence that the engineer maintains these credentials through continuous learning, keeping pace with frequent service updates and evolving best practices essential for building stable cloud infrastructures for our diverse client portfolio.
Leaving the actual scope out
Put the responsibility for bigquery proficiency in the brief, including who helps the hire and who decides. We assess technical fluency in BigQuery by evaluating a candidate's experience with large-scale data modeling and complex SQL query optimization.
Waiting until the offer to discuss the work
Discuss what the person will own in gke expertise before the interview loop. Technical mastery here ensures that application deployment processes are secure, scalable, and resilient against typical failures while supporting continuous integration and delivery pipelines for complex services.
The search in three steps
Agree the brief
The technical interview process evaluates candidate capabilities through deep dives into previous cloud architecture decisions and service selection rationales. We focus on how engineers work through trade-offs regarding latency, cost, and maintainability. This stage confirms that the individual can apply theoretical platform knowledge to real-world scenarios while aligning technical implementation with overarching business goals and security requirements for enterprise clients.
Find and speak with people
Final evaluations assess the candidate's ability to communicate complex cloud concepts to both technical and non-technical stakeholders. We explore how they lead collaborative efforts within diverse development teams, ensuring consistent adherence to architectural standards. Successful candidates demonstrate not only the technical expertise to build scalable GCP environments but also the cultural fit required to drive ongoing infrastructure improvement.
Introduce the people who fit
We send a written brief on each person you meet, including why the work fits and the questions still worth asking about infrastructure automation. You decide who to interview. We help with the conversations through the offer.
Questions about this search
When will we see a shortlist?
We agree the search plan after checking your requirements for certification validation and bigquery proficiency, rather than promising a date before the brief is clear. The candidate must hold active Professional Cloud Architect or Data Engineer certifications.
What if a candidate gets a counteroffer?
We ask what would make someone leave work involving certification validation, and what could make them stay. Before you invest in interviews, we discuss whether your offer changes the problem they want to leave, including the responsibility for infrastructure automation.
Should this role be remote or on site?
Experience with certification validation and bigquery proficiency does not settle the location question. Tell us what access and supervision the work needs, including who owns decisions about infrastructure automation, so we approach people who can accept the arrangement.
How will you check fit before we interview?
The candidate must hold active Professional Cloud Architect or Data Engineer certifications. These credentials signify a verified depth of knowledge regarding core platform capabilities and recommended architectural patterns. We assess technical fluency in BigQuery by evaluating a candidate's experience with large-scale data modeling and complex SQL query optimization.
How does the fee work?
No upfront fee. You pay only if you hire. Agree the fee and the responsibilities covering certification validation and bigquery proficiency in the recruiting agreement before the search proceeds.
What if the hire does not work out?
We offer a candidate replacement guarantee on standard search agreements. The applicable period and exact terms are set out in the signed client recruiting agreement. Make sure the agreed scope includes what you expect of infrastructure automation, rather than leaving that discussion until after the start.
No upfront fee. You pay only if you hire. We offer a candidate replacement guarantee on standard search agreements. The applicable period and exact terms are set out in the signed client recruiting agreement.
What happens next
- Do I pay upfront?
- No upfront fee. You pay only if you hire.
- Must I give you exclusivity?
- We do not promise or require exclusivity here. Any terms are in the recruiting agreement we refer you to.
- Will you reveal my company?
- Not without your explicit consent before we disclose anything.
- What if I do not hire?
- No hire, no fee.
Where we fill this role
- SaaS and B2B Software
- Fintech, Payments and Insurtech
- Banking, Capital Markets and Trading
- Healthtech and Digital Health
- Health Systems, Payers and Provider IT
- AI-Native Companies
- PE-Backed Software
- Enterprise and Fortune 1000
- Ecommerce, Retail and Marketplaces
- Govtech, Defense and Aerospace (Cleared)
- Cybersecurity Vendors
- Construction Tech and Proptech
- Manufacturing, Industrial and IoT
- Energy, Utilities and Climate Tech
- Consulting, MSPs and Systems Integrators
- Media, Gaming and Consumer Apps
How a search runs
The Six-Step Search
- 1Search Calibration
A call about the work. You get a written search profile.
- 2Market Mapping
We identify the employer backgrounds that fit. You see where we will look.
- 3Professional Contact Intelligence
We identify individual people, not job board applicants.
- 4Persistent Personalized Outreach
Personal outreach and direct follow-through. You get search updates.
- 5Live Candidate Qualification
A recruiter checks stack, scope and motivation in conversation.
- 6Candidate Intelligence and Process Support
You receive a written brief on every person you meet.
Working with Technology Headhunters
What don't you do in a permanent search?
We do not bill by the hour for permanent search or charge a retainer unless one is agreed. We do not treat reposting your job advertisement as headhunting.