About the role We’re looking for a Full Stack Software Engineer who can build and ship modern web applications end-to-end—front end, backend APIs, databases, deployments—and who also understands how to design systems that scale. You’ll be building production-ready services on Google Cloud Platform (GCP), integrating third-party APIs, and developing AI-enabled capabilities (LLMs/agents and computer vision) that deliver real value.
What you’ll do Build user-facing features using Next.js or contemporary JavaScript frameworks (React preferred).
Design and implement backend services and RESTful APIs using Node.js , following REST best practices (versioning, pagination, auth, error handling, observability).
Apply best practices for building scalable full stack applications , including:
clean architecture and modular codebases
performance optimization (frontend + backend)
caching and efficient data access patterns
reliability practices (timeouts, retries, idempotency)
monitoring, logging, and alerting
Own database design: data modeling, schema design, indexing, query performance, and migrations.
Work with ORMs (especially Prisma ) and databases like PostgreSQL and MongoDB .
Deploy and operate services on Google Cloud Platform (GCP) with a focus on reliability, scalability, and cost awareness, including:
Cloud Run deployments
Google Cloud Load Balancing (traffic routing, SSL/TLS, scaling considerations)
API Gateway (secure exposure of services, routing, policies, auth)
Collaborate on AI-driven features using Vertex AI and related tooling.
Build workflows and integrations using n8n (automation, event-driven flows, webhooks, scheduling, retries).
Read API documentation, integrate third-party services, and troubleshoot integration issues end-to-end.
Use Postman extensively for API development and testing (collections,



environments, auth flows, automated test scripts).
Contribute to AI/ML functionality including:
practical understanding of LLMs and agent-based systems (tool use, function calling, RAG, evaluation)
experience with computer vision workflows (data prep, inference pipelines, model integration)
exposure to fine-tuning/training workflows (or partnering closely with ML engineers to productionize them)
Write and maintain automated tests, with emphasis on end-to-end testing and quality gates in CI/CD.
Work in an Agile environment using tools like Jira or Asana (planning, estimation, sprint execution, documentation).
Required qualifications Strong hands-on experience in full stack development :
Frontend: Next.js and/or React (or similar modern JS framework)
Backend: Node.js with API design and implementation experience
Demonstrated ability to design and build scalable full stack applications (performance, reliability, maintainability).
Solid understanding of REST APIs , security fundamentals, and integration patterns.
Strong experience with Postman for API testing and development.
Database expertise: schema design + hands-on work with PostgreSQL and/or MongoDB .
Experience with Prisma (or similar ORM) and data modeling best practices.
Experience deploying and operating production services on GCP , including:
Cloud Run
Google Cloud Load Balancer
API Gateway




Working knowledge of Vertex AI (or comparable ML platform) and how AI capabilities are integrated into applications.
Working knowledge of n8n and building reliable automation workflows.
Ability to read and implement against external API docs , integrate multiple services, and debug failures.
Strong programming skills in Java, JavaScript, and Python (must-have).
Familiarity with Agile delivery and tools such as Jira / Asana .
Strong testing mindset: unit/integration testing plus E2E testing (e.g., Playwright/Cypress/Selenium).
Nice to have Experience with authentication/authorization (OAuth2, JWT), rate-limiting, and API gateways.
Observability experience (structured logging, tracing, metrics; OpenTelemetry, Cloud Logging, etc.).
Experience with LLM evaluation, prompt/version management, RAG pipelines, vector databases, and safety/guardrails.
CI/CD experience (GitHub Actions, GitLab CI, Cloud Build) and infrastructure-as-code (Terraform).
Performance tuning across frontend, backend, and database layers.
Tech stack (example) Frontend: Next.js, React, TypeScript
Backend: Node.js (Express/Fastify/NestJS), REST APIs
DB: PostgreSQL, MongoDB, Prisma
Cloud: Google Cloud (Cloud Run, Load Balancer, API Gateway, Vertex AI)
Automation: n8n
Testing: Postman + Playwright/Cypress + integration tests
Process: Agile, Jira/Asana
Job Types Full-time
Part-time
Benefits Casual dress
Company events
Dental care
On-site parking
Paid time off
Store discount
Work Location In person
Benefits Casual dress
Company events
Dental care
Extended health care
On-site parking
Paid time off
Store discount
Vision care
Work Location In person
Pay: $45,000.00-$60,000.00 per year
Benefits On-site parking
Work Location In person

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📌 Software Engineer (Full Stack + AI/LLM Integrations) (Alberta)
🏢 Socket.dev
📍 Alberta