We are seeking a Senior Backend / Data Platform Engineer to design and build large-scale databases and APIs that power commercial customer-facing products. This role focuses on system architecture, data modeling, and performance at scale, with deployments running in Kubernetes-based environments.
- You will work closely with product, research, and infrastructure teams to translate customer requirements into reliable, scalable, and secure backend systems. This is a hands-on engineering role with ownership over core platform components.
Responsibilities
- Design, implement, and operate large-scale databases (OLTP and analytical workloads)
- Architect and develop high-performance APIs (REST and/or gRPC) for commercial customers
- Design data models optimized for scale, reliability, and long-term maintainability
- Deploy and operate backend services in Kubernetes environments
- Optimize database performance, query efficiency, and API latency under high load
- Define and enforce API contracts, schemas, and versioning strategies
- Partner with DevOps and platform teams on: Kubernetes deployment patterns, CI/CD pipelines, Observability (metrics, logging, tracing)
- Implement security best practices including authentication, authorization, and data protection
- Troubleshoot and resolve production issues in distributed systems
Provide technical leadership through design reviews, documentation, and mentorship
Required Qualifications
- Strong experience designing and operating large-scale databases, such as:
- PostgreSQL / MySQL
- Distributed or analytical systems (e.g., ClickHouse, Elasticsearch, BigQuery, Snowflake, etc.)
- Strong backend development experience in one or more languages:
- Python, Go, Java, or similar
- Proven experience designing customer-facing APIs
- Solid understanding of: Data modeling, Indexing strategies, Transactional vs analytical workloads
- Experience deploying and running services on Kubernetes
- Familiarity with containerization (Docker) and cloud environments (AWS, GCP, or Azure)
- Strong debugging skills in distributed systems
Must be a US citizen
Preferred Qualifications
- Experience operating databases on Kubernetes (StatefulSets, Operators, persistent volumes)
- Experience with high-throughput or high-volume data systems
- Knowledge of: API gateways and service meshes, gRPC, OpenAPI, or GraphQL
- Experience with infrastructure as code (Terraform, Helm, Crossplane)
- Experience supporting commercial customers with uptime, SLA, and performance requirements
Familiarity with security-sensitive or regulated environments
What Success Looks Like in This Role
- Databases that scale reliably as customer usage grows
- APIs that are stable, well-documented, and easy for customers to integrate
- Kubernetes deployments that are observable, resilient, and maintainable
- Clear architectural documentation and design rationale
- Strong collaboration across engineering, product, and operations
Why Join Us
- Work on real production systems at meaningful scale
- Own core architecture decisions that directly impact customers
- Collaborate with senior engineers, researchers, and product leaders
- Build systems that value correctness, performance, and maintainability
Top Skills
What We Do
Voreas builds advanced cybersecurity products that help organizations identify, track, and understand sophisticated cyber threats at scale. Our platforms use evidence-based analysis of large-scale network and internet data to attribute attacks, surface indicators of compromise, map cyber risk across critical sectors, and monitor supply chain exposure, all without requiring intrusive endpoint agents or privileged access to customer environments. We serve government agencies, critical infrastructure, and other systemically important organizations that need deeper visibility into nation-state and criminal cyber activity.
Why Work With Us
Voreas turns advanced cyber research into products powered by large-scale proprietary data. Join a team tackling complex infrastructure, data, and analytics challenges where your work directly shapes the platform, product, and mission.
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