Fullstack Architect – AI

Gorilla Logic

. Lead the technical design and act as the single design authority for AdVise, a campaign-management platform operating approximately 1,600 Google Ads and Meta accounts for automotive dealerships .

Posted 10/7/2026full-timeRemote • Colombia, Costa RicaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and governing complex architectures for campaign management platforms, with a strong focus on security, integration, and performance. Proficient in leading technical design discussions and documenting architecture decisions for scalable solutions.

Highest-signal resume keywords

Solutions ArchitectureSecurity ArchitectureAWS Cloud ArchitectureAsynchronous ArchitectureAI Harness Design

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Hard Skills

Relational Data ModellingSQLVue.jsPHPLaravelEvent-Driven ArchitectureIntegration with Third-Party APIsArchitecture Decision RecordsLoad and Performance TestingData Contracts

Soft Skills

Strong Communication SkillsCollaborationTechnical Documentation

Tools & Technologies

Google Ads APIMeta Marketing APISalesforceSnowflakeDatadogLooker

Certifications & Qualifications

Cloud Architecture Certifications on AWSAzureGCP

Industry Keywords

Campaign ManagementMarketing TechnologyCompliance EnginesAutomotive RetailOEM Advertising Programs

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformJavaScriptLaravelPHPSQLVue.js

About the role

Key responsibilities & impact

Lead the technical design and act as the single design authority for AdVise, a campaign-management platform operating approximately 1,600 Google Ads and Meta accounts for automotive dealerships
Record architecture decisions in architecture decision records and the shared decision log
Define the provider-neutral desired-state and delta model and governed write-path contract
Design precedence, managed-scope and field-ownership models across Salesforce, live platform state, playbooks, locks, compliance rules, inventory and offers
Design the rules engine, including rule classes, evaluation order, failure handling, import validation, rendering gates and live-campaign sweeps
Own the operating envelope, including rate limits, polling cadence, workload yield order and full-book-scale headroom
Define security and identity architecture, including roles, SSO, service identities, privileged-action audit and approval authority
Design integrations and data contracts for Google Ads, Meta, Salesforce, Snowflake and client offer/incentive data
Choose the operational store, queues, orchestration approach and AWS platform build-versus-buy split
Define and validate measurable non-functional targets through load and performance testing
Design migration architecture, rollback, pilot-wave scorecard, wave planning and acceptance tolerances with the Engineering Manager
Own AI Harness architecture and governance, including guardrails, human review gates, approved tooling, spend controls and security review
Design the Release Two runway for AI agents using governed write paths, locks and audit trails
Lead technical spikes, design reviews and code reviews; review every capability architecture before build
Participate in steering, prepare milestone sign-off technical content, document findings and escalate blockers within one business day
Pair with client engineers and prepare documentation and decision records for independent operation and extension
Collaborate with product leaders, paid-media strategists, client engineering and data teams, Engineering Manager and delivery team

Requirements

What you’ll need

Senior-level experience as a solutions or software architect on production platforms integrating with external systems at scale
Experience designing transactional, auditable write paths, including idempotency, partial failure, retries, reconciliation and concurrency control
Strong understanding of asynchronous and event-driven architectures, queues, workflow orchestration and scheduled execution
Experience integrating with rate-limited third-party APIs, including quota budgeting, polling strategies and change-data capture
Experience with relational data modelling, SQL, data contracts, and integration with CRM platforms and data warehouses
Strong grounding in security architecture: authentication, authorization, role-based access, service identities, secret management and audit
Cloud architecture experience on AWS, or deep experience on another major cloud platform and ability to ramp quickly on AWS
Understanding of infrastructure as code, CI/CD, environment separation, observability and production support
Working knowledge of Vue.js and PHP and Laravel, sufficient to review designs and code produced in those stacks
Experience writing architecture decision records and technical documentation for inheriting teams
Experience delivering inside fixed-price, milestone-based engagements, including scope control and acceptance evidence
Strong communication skills and ability to explain technical decisions and trade-offs to executives and engineers
Practical experience designing AI-assisted engineering workflows or AI harnesses with human review gates
Ability to decide when a capability should be deterministic, AI-assisted, or agentic, and defend that boundary
Understanding of AI guardrails covering permissions, tool access, prompt injection, data leakage, audit trails, evaluation and token cost
Experience designing architectures in which AI agents act through the same governed paths, approvals and audit trails as human users
Familiarity with structured outputs, tool calling, context management, model selection, and managed model access inside a client's own cloud account
Ability to establish a secure and reusable AI platform foundation before introducing autonomous capabilities
Preferred: Experience with the Google Ads API, Meta Marketing API, or similar advertising platforms
Preferred: Experience with Salesforce, Snowflake, Datadog, or Looker
Preferred: Experience migrating live production systems onto a new platform without service interruption
Preferred: Experience with campaign management, marketing technology, compliance engines, or rules-based systems
Preferred: Familiarity with automotive retail, OEM advertising programs or co-op compliance
Preferred: Cloud architecture certifications on AWS, Azure or GCP
Preferred: Experience leading knowledge transfer and platform handover to a client's engineering team