Senior Data Engineer
About 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.
About the Role
We are looking for a highly experienced data engineer to help build and scale our data platform. You will be responsible for designing and implementing our data infrastructure, ensuring it can handle the complex requirements of enterprise environments. Additionally you'll play a key role in shaping the future of our database architecture and building a high-performing team in a fast-moving startup environment.
What you'll do
- Refine our database to support enterprise scale data.
- Design experiments to test the failure point and scalability of our database.
- Collaborate with the broader engineer team to design data models and support feature initiatives.
- Design for flexibility for a wide-range of environments, whether on-prem, on-cloud, or on constrained, forward-deployed systems.
- Implement and enforce data security, privacy, and compliance standards (e.g., SOC 2, GDPR, HIPAA).
- Help build our team, lead projects, and mentor more junior engineers.
- Contribute to the overall technical vision and roadmap for Alaris Security's data platform
Requirements
- Have 5+ years experience with focus on database and big data
- Have worked 4+ years as a data engineer in an enterprise environment
- Have 2+ years of experience working with PostgreSQL
- Experience with TypeScript
- Familiarity with data security and compliance standards (e.g., SOC 2, GDPR, HIPAA)
- Have strong communication and leadership skills
- Be excited about working for an early stage fast paced startup and putting in 60+ hour weeks
- Bonus: Experience with graph databases