AI-driven cloud governance platform for cost, security, and compliance
CoreStack operates a multi-cloud governance platform spanning AWS, Azure, GCP, and Oracle Cloud, with a tech stack anchored in Python, OpenStack, Django, Flask, and Kubernetes. The company is engineering-heavy (9 of 16 active roles) and focused on automation—projects center on cloud provisioning templates, governance services, and platform R&D—while pain points reveal internal friction around tool integration, pipeline efficiency, and dependency management, suggesting the platform itself faces the complexity problems it solves for customers.
CoreStack builds an AI-powered governance and security platform for multi-cloud environments. The product targets enterprises managing large cloud deployments across AWS, Azure, GCP, and OCI, with a focus on cost optimization (FinOps), security posture (SecOps), and operational efficiency (CloudOps). The company operates at mid-market scale (51–200 employees, headquartered in Bellevue, WA) with active R&D, system integration, and partner enablement initiatives. Hiring is decelerating (3 roles in the last 30 days) but remains concentrated in engineering and sales.
CoreStack integrates with AWS, Azure, GCP, and Oracle Cloud (OCI). The tech stack includes native SDKs and connectors for each platform, plus Kubernetes for orchestration.
Core languages and frameworks: Python, Django, Flask, OpenStack. Data/observability: MongoDB, Prometheus, Grafana, Loki, Datadog. Infrastructure: Kubernetes, Git. Endpoint security via Falcon; identity via Azure AD.
Yes. Engineering represents 9 of 16 active roles (56% of headcount focus), with a mix of mid-level (7) and senior (5) positions. Hiring spans the United States and India.
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