Fullstack Architect – AI

🔥 2 hours ago

🌐 Colombia, Costa Rica – Remote

🇨🇴 Colombia – Remote 🇨🇷 Costa Rica – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Gorilla Logic

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Gorilla Logic is a company renowned for its expertise in modern software and data engineering. Serving as a strategic partner rather than just a vendor, Gorilla Logic specializes in digital product design, cloud engineering, data and AI delivery, DevOps, quality assurance, and legacy modernization. With a team of skilled digital product designers, solutions architects, and Agile nearshore teams, Gorilla Logic has been instrumental in developing business-critical software applications for Fortune 500 and SMB companies for over 20 years. Their services include creating SaaS platforms, enhancing digital experiences, and providing flexible, security-focused solutions. Gorilla Logic operates with teams located in Costa Rica, Colombia, Mexico, and the United States, emphasizing collaborative partnerships to deliver cutting-edge digital engineering solutions.

📋 Description

• 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

• 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