Senior Staff Data Infrastructure Engineer

Armis, the cyber exposure management & security company, protects organizations' cyber risk exposure in real time. They are seeking a Senior Staff Data Infrastructure Engineer to join their Data Infrastructure R&D Group, focusing on improving scalability, operational excellence, and security compliance within Federal environments.

Responsibilities:

• Lead and contribute to architectural initiatives designed to improve the scalability and cost-efficiency of our Federal environment
• Serve as the senior technical escalation point for Data Infrastructure issues in FedRAMP
• Collaborate with the Data Infrastructure team to enhance and validate Disaster Recovery (DR) strategies
• Ensure the health and performance of core stateful systems (PostgreSQL, MongoDB, Kafka) under strict compliance constraints
• Partner with security teams to implement necessary controls, including automated certificate management, network policy enforcement (Service Mesh), and regular security patching to maintain our Authority to Operate (ATO)
• Act as the technical representative of the Data Infrastructure R&D group within the Federal environment

Requirements:

• US Citizenship is mandatory due to federal access requirements
• 7+ years of experience in Infrastructure or Platform Engineering, SRE, or DevOps with a focus on data-intensive systems
• Deep Data Systems Expertise: Proven track record of supporting high-scale stateful infrastructure in production. You must possess an in-depth, hands-on understanding of at least one major relational database (e.g., PostgreSQL), one streaming platform (e.g., Kafka), and open-lakehouse technologies (e.g, Spark, EMR, Hive, Trino). It is essential that you understand how these systems operate under load and how to debug them effectively; familiarity alone is insufficient
• Deep Linux & Cloud Expertise: Strong hands-on experience debugging production issues in Linux environments and managing AWS infrastructure (GovCloud experience is a plus, but not required)
• Kubernetes Mastery: You are comfortable not just deploying to K8s, but debugging it—understanding networking, resource scheduling, and complex operator patterns
• Infrastructure as Code: Proficiency with Terraform, Helm, or similar tools to manage infrastructure reproducibly
• Communication: Excellent written and verbal communication skills. You need to be able to explain complex technical issues to remote R&D teams and mentor local Ops teams
• Experience with FedRAMP, IL5, or DoD compliance frameworks
• Experience with Service Mesh technologies (e.g., Istio) and secure networking
• Familiarity with Big Data frameworks or NoSQL databases
• Experience working in a distributed global engineering organization