Expert for Senior Search Engineer (Rust)

We are a leading European AI company developing cutting-edge document search and indexing systems for enterprise and AI applications.
Our products combine high-performance technologies, scalability, reliability, and data security, fully aligned with European regulatory and ethical standards.

As a Senior Search Engineer (Rust), you will take ownership of backend services, search and indexing service, API/SDK design, and performance optimization across our document search platform.
This is a senior, hands-on role, designed to be covered by 1-2 FTE split across specialists, ensuring full operational continuity and technical excellence.
You will be working at the core of our Search Team, enabling seamless search, retrieval, and processing of large-scale document datasets.  

Responsibilities:

• Develop and maintain backend services in Rust, focusing on performance, reliability, and scalability
• Design, implement, and optimize document search and indexing pipelines using Qdrant and PostgreSQL
• Drive API design, including lifecycle management (deprecation, sunsetting, adoption)
• Lead complex architecture and data model migrations for evolving systems
• Implement software engineering best practices (TDD, DDD, resiliency patterns)
• Troubleshoot, debug, and resolve performance and reliability issues in production
• Collaborate with Infra team to deploy and manage services on Kubernetes using Helm
• Contribute to CI/CD pipelines and deployment automation (GitLab, GitHub Actions)
• Mentor junior engineers and ensure team knowledge sharing
• Maintain clear documentation for system design, operational workflows, and troubleshooting

Requirements:

• 4+ years of professional backend development experience in Rust
• Strong experience with vector databases (Qdrant) and relational databases (PostgreSQL)
• Hands-on experience with Kubernetes and Helm for deploying and scaling services
• Solid understanding of distributed systems, resiliency patterns, and scalable architecture
• Experience in API/SDK design, data modeling, and lifecycle management
• Proficient in CI/CD workflows (GitLab, GitHub Actions) and deployment automation
• Excellent debugging, profiling, and performance tuning skills
• Strong communication skills and ability to work in cross-functional teams
• Ability to independently own and operate services in a shared-responsibility model (1–2 FTE split across specialists)

Nice to Have:

• Experience tuning Qdrant for large-scale, multi-node (OnPrem) deployments
• Advanced PostgreSQL configuration and indexing for high-performance search
• Familiarity with service meshes (Istio) and Kubernetes networking
• Experience with Docker image security, CVE scanning, and image hardening
• Exposure to AI/ML pipelines, vector search, or large-scale document retrieval systems

Technology Stack:

• Backend & Programming: Rust, API/SDK design, distributed systems
• Search & Indexing: Qdrant, PostgreSQL, vector search, indexing pipelines
• Infrastructure: Kubernetes, Helm, CI/CD (GitLab/GitHub Actions), deployment automation
• Resiliency & Reliability: Circuit breakers, retries, disaster recovery, TDD/DDD practices
• Security: Docker image hardening, CVE scanning, service security policies
• Monitoring & Observability: Logs, metrics, alerts for production workloads