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iO Associates

SC Cleared Backend Engineer

London
£75k – £100k/yr
Posted about 16 hours ago
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SC Cleared Backend Engineer

We're looking for an early-stage engineer who pairs strong software skills with an ambitious, exploratory mindset. This is an exciting opportunity to join the Engineering team at a pivotal moment - we're a small team within a rapidly scaling organisation, so we each play a role in shaping the company's engineering culture, practices, and foundations as we grow.

You'll design and build the distributed systems, storage infrastructure, and platform primitives underpinning the company's sensor integration product - covering the full backend surface, from stream processing and storage to API design, data pipelines, and service architecture, in a Rust stack with Python at the platform API boundaries. You'll own meaningful architectural decisions and build systems that scale toward petabyte-scale data storage, reasoning clearly through unfamiliar problem domains under real constraints.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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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.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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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.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

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.

Core Skills

Core technologies:

  • Rust, with Python at some API boundaries.
  • Kafka, PostgreSQL/TimescaleDB/PostGIS, gRPC/protobuf, and Kubernetes.

Candidates are not expected to have experience with all of these, but adjacent understanding is crucial.

Skills Required:

  • Experience with Rust
  • Experience with Python (API boundaries)
  • Experience with Kafka
  • Experience with PostgreSQL / TimescaleDB / PostGIS
  • Experience with gRPC and protobuf
  • Experience with Kubernetes
  • Systems thinking; designing and operating production systems under constraints
  • Strong software craft: clean, well-structured code and healthy code review practices
  • Ability to reason and make architectural decisions under uncertainty
  • Familiarity with LLM / AI-assisted development workflows
  • Collaboration and cross-team communication; ability to work with limited top-down instruction
  • Prior experience with large-scale data infrastructure (distributed storage, sharding, high-throughput pipelines)

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Desirable:

  • Prior experience with large-scale data infrastructure, i.e. distributed storage, sharded databases, high-throughput pipelines. Bonus if you've built your own or have experience with the primitives for building your own, e.g. sharding libraries, consistent hashing, data-parallel dataflow computation, etc.
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Skills

Rust
Python
Kafka
PostgreSQL
TimescaleDB
PostGIS
gRPC
Protobuf
Kubernetes
Distributed Systems
API Design
Data Pipelines
Systems Thinking
AI-assisted Development
Service Architecture
Large-scale Data Infrastructure

Location

London, England, United Kingdom

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