Cloud-native SASE platform for global WAN and network security
Aryaka operates a SASE platform spanning WAN optimization, SD-WAN, and cloud security across 100+ countries. The stack reveals a classical big-data backbone (Spark, Hive, Cassandra, HBase) paired with mainstream cloud providers (AWS, Azure, GCP) and enterprise security vendors (Palo Alto, Fortinet, Check Point, CrowdStrike), indicating a multi-tenant SaaS architecture handling petabyte-scale traffic. Active projects target operational friction: automation of customer onboarding, security assessment of their own SASE product, and data-pipeline modernization—suggesting they're maturing operational efficiency and internal security posture.
Aryaka builds a unified SASE platform delivering WAN optimization, SD-WAN, and cloud networking as a managed service. The product targets global enterprises modernizing their branch and cloud connectivity while maintaining integration with existing infrastructure. The company operates across 100+ countries with 201–500 employees. Their stack spans big-data processing (Spark, Cassandra, Hive), multi-cloud infrastructure (AWS, Azure, GCP), and integrated security controls (Palo Alto Networks, Check Point, Fortinet, Okta, CrowdStrike). Current work focuses on reducing manual onboarding effort, handling petabyte-scale data, and strengthening internal security controls through penetration testing and policy standardization.
Aryaka uses Java, MySQL, Apache Spark, Cassandra, and Hive for core platform and data processing. Cloud infrastructure spans AWS, Azure, and GCP. Security integrations include Palo Alto Networks, Fortinet, Check Point, Okta, and CrowdStrike.
Aryaka is headquartered in Santa Clara, California and operates across more than 100 countries globally.
Aryaka has 5 active open roles, primarily in engineering (3), with additional openings in data and security. Current hiring focus is in India, with emphasis on senior and mid-level positions.
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Aryaka's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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