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Upwind operates a cloud security platform spanning AWS, GCP, and Azure workloads, with a tech stack heavy on observability (Prometheus, Grafana, VictoriaMetrics) and container orchestration (Kubernetes, Argo CD, Helm). The company is actively training AI detection models and building an internal AI platform for model management — a signal of motion toward autonomous threat detection. Sales hiring (19 roles) outpaces engineering (13), indicating a shift from product-market fit into aggressive customer acquisition, while security-focused hiring (6 roles) reflects the engineering-critical nature of their domain.
Tech Stack 74 technologies
Core StackAWS Docker Kubernetes Python Salesforce Terraform Helm Neo4j Elasticsearch Redis TimescaleDB RabbitMQ ArgoCD Go Prometheus Grafana MySQL PostgreSQL Java React GCP Azure Bash eBPF Argo CD VictoriaMetrics Terragrunt AWS CDK AlertManager OpenSearch+44 more
What Upwind Security Is Building
◆Challenges
- Misconfigurations to malware defense
- Cloud security management
- Troubleshooting complex technical issues
- Complex engineering issues
- Inefficient risk prioritization
- Poor social media engagement
- Weak brand recognition
- Maintaining compliance with security frameworks
- Driving co-sell initiatives
- Expanding aws partnership
▲Active Projects
- Technical deployment of the upwind platform
- Autonomous solutions that automate complex security operations and investigative workflows
- Seamless integration and implementation
- Contract negotiation
- Partner-led sales and joint go-to-market initiatives
- Roadmap discussions
- Training ai detection models
- Internal ai platform for models, data, training, and observability
- New enterprise logos acquisition
- Runtime defense guardrails
Hiring Activity
65 roles · 30 in 30d
Department
Seniority
Notable leadership hires: Brand Lead
Company intelligence
