Founding Engineer (Rust) for Memtrace

Salary Competitive

Equity To be negotiated

About Memtrace

Memtrace gives AI coding agents perfect codebase memory. We are building enterprise-grade infrastructure in Rust, made up of three tightly integrated modules: MemDB, a bi-temporal graph + vector database with native HNSW vector indexing, native graph traversal, and point-in-time "rewind" retrieval; Memtrace, a Rust CLI and MCP server that indexes code into a typed knowledge graph using Tree-sitter AST parsing and serves agents fused vector + graph + lexical retrieval; and Memfleet, a coordination broker that lets fleets of AI agents work on the same codebase without conflicts.

Everything we build is in Rust. We are currently focused on hardening MemDB so it can be self-hosted by enterprises, allowing Memtrace to connect remotely so that whole engineering teams can share the same graph database.

The Role

As a Founding Engineer, you will own deep, complex systems work at the heart of our platform. Right now that means making MemDB production-ready for enterprise self-hosting: designing for distributed deployment, replication, sharding, and the scaling and hosting concerns that come with running an enterprise database. You will work across the storage engine, the WAL, the indexing pipeline, and the remote connectivity layer that lets distributed engineers share a single graph database.

This is a foundational hire. You will shape architecture, set engineering standards, and help build an enterprise product from the storage layer up.

What You'll Do

Build and harden MemDB for enterprise self-hosting, including distributed deployment, replication, and sharded indexing.

Design systems for hosting, scaling, and operating a high-performance database in production.

Develop the remote connectivity layer enabling engineers to share the same graph database across a team.

Work deep in the stack: storage engine, write-ahead log, HNSW vector indexing, graph traversal, and bi-temporal query operators.

Tackle complex, ambiguous problems and ship robust, well-engineered solutions end to end.

What We're Looking For

Strong, hands-on experience writing production Rust.

A track record of building complex systems software, ideally databases, storage engines, distributed systems, or other performance-critical infrastructure.

Experience designing for hosting and scaling systems, including distributed deployment, replication, and sharding.

Comfort owning hard problems independently with a founding-engineer mindset.

A bias toward shipping correct, performant, well-tested code.

Nice to Have

Experience with vector search (HNSW), graph databases, or bi-temporal/time-travel data models.

Familiarity with write-ahead logging, page-based storage engines, or query engine internals.

Experience self-hosting or operating databases in enterprise environments.

Exposure to AI coding agents, MCP, or developer tooling.

For more information or questions please contact us at axth@syncable.dev or phone number +45 42 23 78 26

Perks and benefits

This job comes with several perks and benefits

Remote work allowed

Central office

Free coffee / tea

Skill development

Flexible working hours

Healthcare insurance

See all 12 benefits

Working at
syncable

See company profile

Syncable — The Cloud OS for the Agentic Era AI now generates code faster than teams can understand, deploy, or govern it. That's the new bottleneck — and it widens every sprint. Three crises hit simultaneously as AI coding adoption accelerated: 1) The Understanding Gap. 50% of all code is now AI-generated. 2) 1 in 4 AI samples contain a confirmed vulnerability — 2.74× more than human-written code. 3) 75% of developers say reviewing AI code is harder. Comprehension debt compounds every sprint. The Governance Gap. Static analysis sees code. Observability sees runtime. Cloud tools see infra. Nothing connects all three. 82% of companies have accumulated security debt; 80% of tech debt will be architectural by 2026 (Gartner). The Deployment Gap. 50%+ of code is AI-generated, but ~0% is deployed autonomously. Teams choose between PaaS lock-in or DIY complexity — at a cost of €450k+ per year in platform engineering alone. Syncable closes all three gaps with one platform: Deploy. Operate. Understand. 1) Deploy any cloud in 20 minutes. One command, zero YAML, BYOC — your cloud, your keys, EU sovereign. 2) Operate with MTTR reduced from 60 minutes to under 5. A knowledge graph links alert → commit → config change in under 30 seconds. 3) Understand your entire system through a Temporal Knowledge Graph — a living, graph-native record of every service, change, dependency, and deployment event, queryable at any point in history. No single competitor provides all three layers with a temporal knowledge graph underneath. That graph is the data moat: it compounds with every repo, every deployment, every incident. What Cursor did for coding, Syncable does for deployment — plus the world model that governs it all.