DevOps / Platform Engineer

Quick Facts

• Role: DevOps / Platform Engineer

• Focus: End-to-end ownership of an Azure platform for production AI-driven SaaS workloads

Description

Own the Azure platform from development through production, designing environments that help product engineers ship safely as the business moves from validation into investor pilots and enterprise onboarding.

You will build Azure infrastructure and CI/CD pipelines, operate Kubernetes services on AKS, and run critical data services with strong security, reliability, and disaster-recovery practices.

Responsibilities

• Design and operate Azure development, staging, and production environments (virtual networks, routing, load balancing, compute, storage)

• Provision isolated and reproducible environments with infrastructure as code, including separation of production and non-production data, access, and services

• Automate routine work such as credential rotation and service configuration

• Build CI/CD pipelines for frontend, backend, and AI workloads with automated tests, artifact versioning, security gates, health checks, and rollbacks

• Operate and maintain data services including Cosmos DB for MongoDB, Elasticsearch, Valkey, Blob Storage, and Storage Queues; improve performance, capacity, and reliable background processing with developers

• Define and test backup, restore, and disaster recovery procedures with recovery objectives and documented runbooks

• Manage infrastructure lifecycle activities: Kubernetes and node-image upgrades, container patching, dependency maintenance, and vulnerability remediation

• Standardize Docker workflows and operate containerized services on AKS (capacity planning, scaling, resource limits, and cloud cost monitoring)

• Set up metrics, centralized logging, tracing, and actionable alerts; lead incident response and follow-up reviews

• Manage least-privilege access, encryption, secrets, and network segmentation; support SOC 2 and GDPR readiness and enterprise security reviews

• Own DNS, TLS certificates, ingress, and traffic controls for customer-facing endpoints and external integrations

• Create reusable service templates for frontend, backend, and AI engineers with deployment, monitoring, and security built in

Requirements

• Minimum: 5 years in DevOps, infrastructure, or platform engineering with hands-on ownership of production SaaS workloads

• Hands-on experience operating production Kubernetes workloads on Azure Kubernetes Service (AKS), plus Azure networking, storage, and identity/access management

• Experience operating MongoDB-compatible databases and Elasticsearch (backup, recovery, performance tuning, and capacity planning)

• Familiarity with Redis-compatible caching such as Valkey

• Familiarity with Azure Container Registry, Azure Key Vault, Blob Storage, and Storage Queues

• Experience with Azure DevOps pipelines, infrastructure as code using Terraform or Bicep, and automation in Python or Bash

• Ability to troubleshoot distributed systems using metrics, logs, and traces and to design safe releases with health checks and rollbacks

• Plus: Experience hardening an early-stage SaaS platform for production or supporting AI/data workloads

Benefits

• Initial 6-month term compensated through monthly common shares issued in lieu of cash salary (based on a $26M company valuation)

• After 6 months, potential transition to a compensation structure including salary, bonus, and equity, depending on performance, company needs, and successful fundraising (not guaranteed)