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Technical Architect
qode.world. Design and evolve scalable, performant, and maintainable architectures for AI, data, and platform components .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing scalable architectures for AI and data platforms, with a strong focus on GCP technologies, Terraform proficiency, and CI/CD practices. Capable of mentoring teams and aligning technical solutions with business objectives while ensuring operational excellence.
Highest-signal resume keywords
GCP ExperienceTerraform ProficiencyCI/CD Design for ML WorkloadsContainer Orchestration with Docker and KubernetesStrong Communication Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
AI Architecture DesignData Architecture ImplementationInfrastructure-as-CodeDevSecOps EvaluationFinOps Tooling ExperienceSLA AccountabilityAutomated TestingAI/ML Workflow AutomationMonitoring and LoggingIncident Management
Soft Skills
Mentorship-Oriented ApproachSelf-Driven Working StyleStrategic MindsetDiplomatic CommunicationContinuous Learning
Tools & Technologies
GCP Vertex AIGKECloud BuildTerraformDockerHelmKubernetesIAM DesignBudget AlertsWorkload Identity Federation
Industry Keywords
DevSecOpsFinOpsCloud Resource UsageMulti-Tenant GCP StructuresOperational Excellence
Tech Stack
Tools & technologiesCloudDockerGoogle Cloud PlatformKubernetesTerraform
About the role
Key responsibilities & impact- Design and evolve scalable, performant, and maintainable 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 practices, 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-related matters
- Align solutions with client expectations and constraints
- Translate complex technical concepts for technical and non-technical stakeholders
- Assess engineering practices, identify gaps, and drive adoption of CI/CD, automated testing, and AI/ML workflow automation
- Promote automation-first principles and reduce manual overhead in delivery pipelines
- Lead by example with independence and without micromanagement
- Mentor and upskill engineering teams
- Provide architectural guidance and technical direction across teams and initiatives
- Collaborate with Technical Architects and stakeholders to ensure cross-project consistency and technical alignment
- Contribute to the long-term technical vision and strategic planning
Requirements
What you’ll need- Hands-on GCP experience with Vertex AI pipelines, GKE, Cloud Build, Artifact Registry, and VPC/networking
- Production-scale Terraform proficiency, including modules, state management, and drift detection
- CI/CD design for ML workloads
- Container and orchestration experience with Docker, Helm, and Kubernetes operators
- Secret management, IAM design, and workload identity federation
- FinOps tooling experience including GCP billing export, budget alerts, and committed use planning
- Experience building or migrating a platform from scratch
- Experience with multi-tenant or multi-project GCP organization structures
- Experience operating and supporting large-scale production platforms
- Experience handling incidents, writing post-mortems, and carrying SLA accountability
- Strategic mindset and ability to drive long-term value
- Self-driven and autonomous working style
- Strong communication skills bridging technical teams and business needs
- Mentorship-oriented approach
- Continuous learning and responsible application of technology
- Enablement-focused mindset
- Ability to push back diplomatically on technically debt-inducing requests
- Ability to adjust communication depth and tone for technical teams, PMO, clients, and C-level stakeholders
- Ability to escalate disagreements through appropriate channels
Benefits
Comp & perks- Flexible hours, 5 working days/week (Monday-Friday), with a focus on output rather than clock-watching
- Hybrid model with 2 days working from home per week (Monday and Friday)
- 12 days annual leave plus special seniority benefits
- Lunch and gasoline support allowances
- 13th-month salary
- Performance-based bonuses
- Social, health, and unemployment insurance based on gross salary
- Health insurance for the employee, with seniority-based extension to family members
- Training for specialized skills, soft skills, and English
- Monthly Happy Hours
- Company trips
- Sport clubs including Soccer, Yoga, and Badminton
- Annual health check-ups
- Supportive, collaborative environment