Technical Architect, GCP-focused

qode.world

. Design and evolve scalable, performant, and maintainable system architectures for AI, data, and platform components.

Posted 10/26/2026full-timeHo Chi Minh • VietnamMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing scalable and maintainable system architectures for AI and data platforms, with a strong focus on infrastructure-as-code and CI/CD practices. Proven ability to mentor engineering teams and align technical strategies with business objectives while ensuring operational excellence.

Highest-signal resume keywords

GCP: Vertex AI PipelinesTerraform IaC ProficiencyCI/CD Design for ML WorkloadsContainer and Orchestration MaturityFinOps Tooling

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Hard Skills

System Architecture DesignDevSecOps EvaluationAutomated TestingAI/ML Workflow AutomationMonitoring and LoggingSLA Definition and TrackingIncident ManagementTechnical DirectionCloud Resource OptimizationCost-Aware Development

Soft Skills

Strong CommunicationMentorship OrientationStrategic MindsetSelf-DrivenDiplomatic Firmness

Tools & Technologies

GKECloud BuildArtifact RegistryDockerHelmKubernetes OperatorsIAM DesignWorkload Identity FederationGCP Billing ExportBudget Alerts

Industry Keywords

Infrastructure-as-CodeMulti-Tenant GCP Org StructureOperational ExcellenceTechnical Strategy AlignmentAutomation-First Principles

Tech Stack

Tools & technologies

CloudDockerGoogle Cloud PlatformKubernetesTerraform

About the role

Key responsibilities & impact

Design and evolve scalable, performant, and maintainable system architectures for AI, data, and platform components.
Assess and refactor architectures to align with business needs, technical innovations, and organizational maturity.
Ensure alignment with the broader technical strategy and architectural standards.
Evaluate and validate DevSecOps and FinOps maturity using checklists and KPIs.
Champion infrastructure-as-code, secure-by-design, cost-aware development, and efficient cloud resource usage.
Review, enhance, and guide modern data architecture implementation.
Oversee monitoring, logging, tracing, and health checks for operational excellence.
Define and track SLAs to ensure client agreements are technically respected.
Act as the technical interface with clients on architecture matters.
Translate complex technical concepts for technical and non-technical stakeholders.
Assess engineering practices, identify gaps, and drive CI/CD, automated testing, and AI/ML workflow automation.
Promote automation-first principles and reduce manual delivery-pipeline overhead.
Provide architectural guidance and technical direction across teams and initiatives.
Mentor and upskill engineering teams while fostering learning, ownership, and quality.
Collaborate with Technical Architects and stakeholders for cross-project consistency and technical alignment.
Contribute to long-term technical vision and strategic planning.

Requirements

What you’ll need

Strategic mindset with the ability to see the bigger picture and drive long-term value.
Self-driven and autonomous, able to operate without handholding.
Strong communicator, able to bridge the gap between technical teams and business needs.
Mentorship-oriented, fostering engineering growth across teams.
Always learning, keeping pace with technology shifts and applying them responsibly.
Hands-on GCP: Vertex AI pipelines, GKE, Cloud Build, Artifact Registry, VPC/networking.
IaC proficiency – Terraform at production scale (modules, state management, drift detection).
CI/CD design for ML workloads – not just app pipelines.
Container and orchestration maturity (Docker, Helm, Kubernetes operators).
Secret management, IAM design, workload identity federation.
FinOps tooling – GCP billing export, budget alerts, committed use planning.
Has built or migrated a platform from scratch, not just maintained one.
Experience in multi-tenant or multi-project GCP org structure.
Has operated and supported large-scale production platforms, handled incidents, written post-mortems, and carried SLA accountability under real pressure.
Understands what breaks at scale because they’ve experienced it, not modeled it.
Thinks in enablement and measures success by how fast teams can ship.
Comfortable saying “not yet” to teams requesting platform features that create tech debt.
Diplomatically firm when pushing back on clients, pillar heads, or C-level.
Adjusts communication depth and tone by audience.
Escalates disagreements through the right channel.

Benefits

Comp & perks

Flexible Hours: 5 working days/week (Mon-Fri) with a focus on output, not clock-watching.
Hybrid Model: 2 days WFH per week (Monday & Friday)
Generous Leave: 12 days annual leave + special seniority benefits.
Allowances: Lunch and gasoline support.
Competitive Income: 13th-month salary + Performance-based bonuses.
Full Insurance: Social, Health, and Unemployment insurance based on Gross Salary.
Premium Care: Health Insurance for you, with seniority-based extension to family members.
Learning Culture: Training for specialized skills, soft skills, and English.
Engagement: Monthly Happy Hours, Company Trips, and vibrant Sport Clubs (Soccer, Yoga, Badminton).
Well-being: Annual health check-ups and a supportive, collaborative environment.