SaaS Architect

NetBrain

1d•CA$150,000 - CA$180,000

About The Position

NetBrain is seeking a SaaS Architect to lead the end-to-end technical architecture of its next-generation SaaS platform on AWS. This is a senior, hands-on leadership role focused on infrastructure, platform engineering, and product strategy. The architect will be responsible for setting the foundational technical direction for NetBrain’s cloud platform, influencing its scalability, security, and the efficiency of engineering teams. The role involves working directly with engineering leadership and product management, mentoring senior engineers, and creating standards, ADRs, and documentation.

Requirements

8–12+ years in software or infrastructure engineering, with 4+ years in an architecture role for a SaaS product.
Deep, hands-on AWS experience across compute, networking, storage, and managed services.
Proven track record of architecting multi-tenant SaaS platforms, ideally transitioning a product from on-premises or private cloud to public SaaS.
Strong command of cloud-native design patterns: event-driven architecture, microservices decomposition, twelve-factor applications, and API-first design.
Experience leading architecture across multiple engineering teams — setting direction without owning every implementation.
Ability to produce documentation that engineers can build from and executives can reason about; comfortable presenting tradeoffs to non-technical stakeholders.
Manual Dexterity: Repetitive motion of wrists, hands and fingers for using a computer.
Stationary Tasks: Sitting for extended periods, remaining in a stationary position.

Responsibilities

Define the reference architecture for NetBrain’s SaaS platform on AWS, covering compute, networking, data, messaging, and observability layers.
Lead the multi-tenancy design strategy, including data isolation, tenant routing, and compliance boundaries.
Own the Infrastructure-as-Code strategy using Terraform and AWS CloudFormation, establishing reusable modules and IaC governance across engineering teams.
Design the container and Kubernetes orchestration platform: cluster topology, workload scheduling, autoscaling, and namespace conventions.
Architect the event-driven messaging layer using RabbitMQ (preferred) or Kafka, including schema governance, dead-letter handling, and consumer patterns.
Define the polyglot persistence strategy across relational databases and MongoDB, including data modeling standards and backup/recovery procedures.
Establish the observability stack (metrics, tracing, logging, alerting) and SLI/SLO frameworks aligned to enterprise customer expectations.
Embed security into the platform architecture: encryption, IAM, secrets management, network segmentation, and a path to SOC 2 Type II.
Produce architecture decision records (ADRs) and documentation that guide engineering teams and inform product leadership.