Block MB
Rust Engineer
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Backend Engineer - AI SaaS Platform - Rust/ Python
My client is a venture-backed AI SaaS company building real-time intelligence infrastructure that turns raw data streams into actionable insight. Their platform ingests high-volume data from distributed sources, processes it in real time, and surfaces insights that help customers act faster and reduce risk.
They're a small, high-impact engineering team inside a rapidly scaling company, and this hire will help shape their engineering culture and technical foundations as they grow.
The Role
My client is looking for an engineer who pairs strong software skills with an ambitious, exploratory mindset. You'll design and build the distributed systems, storage infrastructure, and platform primitives underpinning their core product - working across stream processing, storage, API design, data pipelines, and service architecture, in a Rust stack with Python at the platform API boundaries.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
You'll build robust, well-abstracted systems built to scale with a growing customer base, with ambitions of petabyte-scale data storage. You'll own meaningful architectural decisions and reason through unfamiliar problem domains under real constraints.
Core Skills
Core technologies: Rust, with Python at some API boundaries. Kafka, PostgreSQL/TimescaleDB/PostGIS, gRPC/protobuf, and Kubernetes. (Candidates aren't expected to have experience with all of these, but adjacent understanding is important.)
Systems thinking: comfortable designing and operating production systems under real constraints - zero-downtime migrations, complex tradeoff analysis, and pragmatic decision-making that keeps services reliable as requirements shift.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Software craft: writes clean, well-structured code with good use of abstractions and interfaces; opinionated about code review process and culture.
Reasoning under uncertainty: can pick up unfamiliar systems and make sound architectural calls without a complete picture.
AI-assisted development: fluent with LLM-assisted workflows, confident steering AI tooling toward high-quality output, and knows which problems are better solved by humans.
Collaboration: comfortable seeking out context independently and building features with limited top-down instruction; appetite for cross-team communication.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location