Alaris
Alaris Security is building the core technology stack for intelligent cyber security. Designed for enterprise and defense organizations, our platform unifies security data through our proprietary graph database and automates critical tasks using our agent framework. Together these technologies allow us to provide a suite of products that enhance defensive cyber security operations, including automating critical use-cases: alert analysis, vulnerability triage, investigations, incident response, and attack staging detection among many others.
If you've ever wanted to help shape how the world defends itself against cyberthreats, this is your opportunity.
The Role
As a Data Engineer, you'll design the data infrastructure that powers our platform—across petabyte-scale workloads, on-premise deployments, cloud environments, and edge systems. You'll architect and refine our database layer to process and store thousands of alerts, processed by hundreds of autonomous agents, supporting real-time security operations. This is a hands-on, high-impact role. You'll be building the systems that underpin every product we ship—ensuring our databases are secure, scalable, and lightning-fast. You'll help shape our schema design, ensure compliance with enterprise data standards, and anticipate failure points before they happen. If you've ever wanted to lead data infrastructure at the intersection of AI, defense, and cyber security—this is that opportunity. What You'll Do
Architect and scale our core database systems to handle massive enterprise data volumes Design fault-tolerant data infrastructure that works seamlessly across cloud, on-prem, and constrained environments Develop performance testing and stress-testing frameworks to identify and address system bottlenecks Collaborate with product and engineering teams on data model design and access patterns Ensure compliance with data security, privacy, and enterprise regulations (SOC 2, GDPR, HIPAA, etc.) Mentor engineers and help build a world-class data team Contribute to long-term architectural decisions and the Alaris platform roadmap What We're Looking For
5+ years of experience in data engineering or database systems 4+ years working in enterprise environments with large-scale data systems 3+ years hands-on experience with PostgreSQL (design, optimization, scaling) Familiarity with TypeScript and backend engineering best practices Deep understanding of data security, compliance, and governance frameworks Excellent communication and leadership skills—able to lead initiatives and mentor others Startup mindset: comfort with pace, autonomy, and ambiguity Bonus: Experience with graph databases or distributed data systems Why Alaris
At Alaris, data isn't just stored—it's operationalized, correlated, and made actionable by intelligent agents in real time. You'll build the data foundation that powers this future—from massive cloud infrastructure to forward-deployed environments with zero room for error. This role isn't about babysitting databases. It's about leveraging them to power autonomous agents defending real-world environments. If you're ready to architect the infrastructure that will drive the next generation of autonomous cyber defense—we'd love to meet you.
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As a Data Engineer, you'll design the data infrastructure that powers our platform—across petabyte-scale workloads, on-premise deployments, cloud environments, and edge systems. You'll architect and refine our database layer to process and store thousands of alerts, processed by hundreds of autonomous agents, supporting real-time security operations. This is a hands-on, high-impact role. You'll be building the systems that underpin every product we ship—ensuring our databases are secure, scalable, and lightning-fast. You'll help shape our schema design, ensure compliance with enterprise data standards, and anticipate failure points before they happen. If you've ever wanted to lead data infrastructure at the intersection of AI, defense, and cyber security—this is that opportunity. What You'll Do
Architect and scale our core database systems to handle massive enterprise data volumes Design fault-tolerant data infrastructure that works seamlessly across cloud, on-prem, and constrained environments Develop performance testing and stress-testing frameworks to identify and address system bottlenecks Collaborate with product and engineering teams on data model design and access patterns Ensure compliance with data security, privacy, and enterprise regulations (SOC 2, GDPR, HIPAA, etc.) Mentor engineers and help build a world-class data team Contribute to long-term architectural decisions and the Alaris platform roadmap What We're Looking For
5+ years of experience in data engineering or database systems 4+ years working in enterprise environments with large-scale data systems 3+ years hands-on experience with PostgreSQL (design, optimization, scaling) Familiarity with TypeScript and backend engineering best practices Deep understanding of data security, compliance, and governance frameworks Excellent communication and leadership skills—able to lead initiatives and mentor others Startup mindset: comfort with pace, autonomy, and ambiguity Bonus: Experience with graph databases or distributed data systems Why Alaris
At Alaris, data isn't just stored—it's operationalized, correlated, and made actionable by intelligent agents in real time. You'll build the data foundation that powers this future—from massive cloud infrastructure to forward-deployed environments with zero room for error. This role isn't about babysitting databases. It's about leveraging them to power autonomous agents defending real-world environments. If you're ready to architect the infrastructure that will drive the next generation of autonomous cyber defense—we'd love to meet you.
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