Senior Staff Data Infrastructure Engineer

Armis, the cyber exposure management & security company, protects the entire attack surface and manages an organization’s cyber risk exposure in real time. They are seeking a Senior Staff Engineer to join their Data Infrastructure R&D Group, focusing on improving the infrastructure for their rapidly growing Federal business sector.

Responsibilities:

• Lead and contribute to architectural initiatives designed to improve the scalability and cost-efficiency of our Federal environment. You will identify bottlenecks and drive improvements in our database and compute layers to support large-scale customer growth
• Serve as the senior technical escalation point for Data Infrastructure issues in FedRAMP. You will leverage direct environment access to investigate complex incidents, analyze root causes, and drastically reduce resolution time for production issues. You will create automations and drive initiatives to improve the infrastructure's self-healing and self-service capabilities
• Collaborate with the Data Infrastructure team to enhance and validate Disaster Recovery (DR) strategies. You will help ensure our Federal environment meets strict availability standards and is prepared for regional failover scenarios
• Ensure the health and performance of core stateful systems (PostgreSQL, MongoDB, Kafka) under strict compliance constraints. You will be responsible for deep-dive troubleshooting and tuning, not just deployment
• 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. You will provide feedback to the core team on Federal-specific challenges and ensure that new R&D features are successfully landed and operationalized in FedRAMP

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