Build the Infrastructure That Powers Multiple AI Startups

Most DevOps engineers optimise one product's infrastructure. You'll architect and automate the platform that launches 3-5 AI-native ventures simultaneously. 1QLabs systematically creates AI-powered businesses, and we need bulletproof infrastructure and backend systems that let our teams focus on shipping features, not fighting deployments.

The Challenge

Our developers currently context-switch between building features and managing infrastructure. You'll own the platform that eliminates that friction, creating automated, multi-tenant environments where new ventures can ship from day one, while also building the backend services that power our AI-native applications.

What You'll Own

Platform Architecture & Automation

Multi-Tenant Infrastructure: Design and maintain secure, isolated environments for multiple ventures using GCP services

Infrastructure as Code: Build repeatable patterns with Terraform/Pulumi for rapid venture provisioning and scaling

Venture Enablement: Create self-service tooling that gets new products from concept to production in hours, not weeks

Firebase Platform Management: Automate database provisioning, Cloud Functions deployment, and Eventarc trigger management across ventures

Backend Development & API Services

Microservices Architecture: Develop backend services using TypeScript/Node.js that support multiple ventures

API Development: Build robust REST and gRPC APIs with Protocol Buffers for high-performance communication

AI Integration Services: Develop backend services that orchestrate AI workflows and manage model interactio

Real-Time Systems: Implement event-driven architectures using Cloud Functions, Pub/Sub, and Firestore triggers

CI/CD & Developer Experience

Deployment Pipelines: Implement automated workflows delivering rapid code-to-production cycles

Developer Tooling: Provide frictionless local development environments and automated testing pipelines

Release Management: Design automated deployment systems and rollback strategies

Documentation: Create clear runbooks and self-service guides that reduce support overhead

Observability & Compliance

Monitoring & Alerting: Deploy comprehensive observability across all ventures with tenant-aware metrics

Compliance Automation: Implement automated audit logging, data residency controls, and healthcare compliance monitoring

Security & Access Control: Enforce multi-tenant security patterns, secrets management, and least-privilege access

Performance Optimisation: Monitor and tune application performance across the venture portfolio

Cross-Functional Excellence

Venture Partnership: Work directly with technical co-founders to understand infrastructure needs and growth patterns

Multi-Venture Context: Switch effectively between different technical stacks while maintaining consistent platform standards

Rapid Iteration Support: Build infrastructure that supports the fast-paced nature of venture development and pivot requirements

What We're Looking For

Core Requirements

3+ years in DevOps/SRE or cloud-native backend engineering in dynamic environments

Proficiency with Infrastructure as Code tools (Terraform or Pulumi preferred)

Strong backend development skills in modern languages (TypeScript/Node.js, Python)

Understanding of security best practices and compliance requirements for healthcare/sensitive data (HIPAA, Australian Privacy Act)

Technical Skills

Hands-on experience with GCP services, Firebase ecosystem, and serverless architectures

Proficiency with containerization, CI/CD systems, and automated testing frameworks

Experience with gRPC, Protocol Buffers, and event-driven system design

Understanding of comprehensive observability and incident management

Knowledge of database management and real-time data synchronisation

Bonus Points

Venture studio or multi-product environment experience

Experience with multi-tenant architectures and tenant isolation patterns

AI/ML infrastructure and GPU workload management

Experience with LangChain, LangGraph, or AI orchestration frameworks

Google Cloud Certified Associate Cloud Engineer or Professional certifications (Cloud DevOps Engineer, Cloud Developer, or Cloud Architect preferred)

Success Milestones

30 Days: Audit current infrastructure, establish monitoring baselines, implement first automation improvements, and contribute to backend services

90 Days: Deploy comprehensive CI/CD pipelines, establish incident response procedures, build reusable infrastructure patterns, and own backend service development

6 Months: Achieve streamlined venture provisioning workflows, demonstrate clear cost optimisation wins, and become a go-to technical partner for infrastructure and backend architecture decisions

Why This Role Is Different

Multi-Venture Impact: Build infrastructure and backend services that accelerate multiple startups instead of maintaining one system

Rapid Launch Enablement: Design systems specifically for the unique challenge of launching new ventures quickly and efficiently

Ownership: Direct influence on venture success through infrastructure reliability, developer velocity, and backend service quality

Learning Acceleration: Exposure to diverse technical challenges, cutting-edge AI applications, and venture studio operational patterns

Growth Path: Define your trajectory from platform ownership to potential team leadership

Our Current Stack

Cloud Platform & Infrastructure

Cloud Platform: Google Cloud Platform

Infrastructure: Terraform, Pulumi, Docker, Kubernetes

CI/CD: GitHub Actions, automated testing pipelines

Monitoring: Cloud Monitoring, structured logging, custom metrics

Backend & AI Services

Core Backend: TypeScript/Node.js, Firebase Functions, Cloud Run

APIs: REST, gRPC with Protocol Buffers

AI Orchestration: LangChain, LangGraph, LangSmith, GenKit, custom orchestration

Database: Firebase/Firestore, multi-tenant architectures

Development & Integration

Frontend: React, Flutter (for context and integration)

AI/ML: OpenAI, Claude, Vertex AI, custom model integrations

Event Systems: Eventarc, Cloud Pub/Sub, real-time triggers

Compensation & Benefits

Base: $90,000 - $150,000 AUD (experience-based)

Equity: Meaningful stake in ventures you help scale

Location: Sydney-based, remote first

Time Off: Flexible PTO policy

Learning: Annual professional development allowance

Interview Process

Technical Portfolio Review (Async): Share examples of infrastructure work, automation projects, backend services, or system designs

Introductory Call (30 min): Background discussion and 1QLabs technical overview

Technical Challenge (Take-home): Design and implement a solution combining infrastructure automation and backend service development

Technical Interviews (2 x 45 min): Meet engineering leads and discuss architecture decisions, backend development patterns, and infrastructure design

Reference Checks: 2-3 professional references

Apply

Send to [email protected]:

Resume/CV

Portfolio or examples of infrastructure/automation work and backend development projects

Brief note (max 300 words) on your experience with multi-tenant systems or rapid deployment automation

We review applications weekly and respond within 5 business days.