What tech stack does Cyera use?

Cyera's DevOps job postings explicitly require proficiency in Python, Go (Golang), and Bash as primary scripting and backend languages — a combination well-suited for data processing at petabyte scale. Go's goroutine concurrency model is particularly valuable for Cyera's core use case: scanning millions of data objects across distributed cloud environments simultaneously, in near-real-time, without agents consuming compute on the customer side. Python handles data science and ML workloads that power the DataDNA classification engine's AI models.

For infrastructure, Cyera runs on Kubernetes and Docker for container orchestration, with Terraform as the preferred infrastructure-as-code tool for provisioning across multi-cloud environments (AWS, GCP, Azure). CloudFormation is listed as a secondary IaC tool, consistent with AWS's role as the strategic primary cloud partner — Cyera is an AWS Security Hub Extended Partner and listed in the AWS Marketplace as the Cyera Cloud Data Security Platform. CI/CD pipelines run on GitHub Actions and GitLab CI as primary tools, with Jenkins listed as an additional option — suggesting some legacy pipeline tooling may coexist alongside more modern GitOps workflows across engineering teams inherited through acquisitions.

Cyera's observability stack is robust and multi-layered: Prometheus and Grafana handle infrastructure metrics and dashboards; the ELK Stack (Elasticsearch, Logstash, Kibana) provides log aggregation, structured search, and audit trail analysis; Datadog provides APM and infrastructure monitoring with broader SaaS integrations. These tools are explicitly listed in DevOps job requirements and are consistent with the operational demands of a platform that ingests and processes telemetry from petabyte-scale customer environments around the clock.

For web infrastructure, Cyera's properties run nginx as the web server (detected via BuiltWith) and implement DNSSEC for DNS security — both appropriate baseline choices for a security company where web presence integrity is itself a trust signal. For GTM tooling, specific CRM and sales engagement platforms are not publicly disclosed, but Cyera's scale ($150M+ ARR, 1,500+ employees, 20% of Fortune 500 as customers) and the seniority of its revenue leadership (CRO Steve Rog, President Brandon Sweeney with enterprise SaaS background at HashiCorp and dbt Labs) strongly imply a modern revenue stack including Salesforce CRM, a sales engagement platform, and revenue intelligence tooling — though these are inferred, not confirmed.

Cyera's AWS-primary, Kubernetes-native stack signals a technical buying culture that values cloud-native vendors with strong API integrations, SOC2 Type II certification, and preferably existing AWS Marketplace listings. Vendors who can deploy as Kubernetes operators, offer Terraform modules for self-service provisioning, or integrate with AWS Security Hub will face significantly lower friction in technical evaluations. The Datadog deployment signals openness to commercial observability and monitoring tooling; vendors in developer experience, cloud cost management, or data pipeline efficiency should reference their ELK and Prometheus/Grafana ecosystem compatibility.

Cyera's SOC2 Type II and ISO 27001 compliance posture means procurement will scrutinize vendor security questionnaires carefully — a completed SIG or CAIQ attestation should be ready before any evaluation kicks off. Cyera's aggressive M&A pace (five acquisitions in 20 months across Trail Security, Otterize, Shape AI, Ryft, and Genie Security) creates ongoing demand for M&A integration tooling: API management platforms, identity federation services, data migration tools, and engineering onboarding infrastructure all face growing use cases as each acquired team's stack must be integrated. Post-acquisition technical debt cleanup also creates opportunity for observability, testing, and code quality vendors.