Infinity Quest
Senior AWS Data & Solutions Architect

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Role: Senior AWS Data Engineer/Solutions Architect
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.
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.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour 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.
See breakdownIt 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.
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.
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.
Location: London, UK


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Mode: Hybrid
Type: Contract
Job Description:
Key Responsibilities
- Required Experience
- 10+ years of experience in software engineering, cloud engineering, or solution architecture
- 7+ years of hands-on experience designing and implementing AWS solutions (multi-account, serverless, event-driven)
- Experience architecting enterprise-scale, cloud-native applications and distributed systems
- Strong knowledge of cloud security (IAM, KMS, Zero Trust), networking (VPC, Transit Gateway), and compliance
- Hands-on experience with AI/LLM solution architecture — RAG, Agentic AI, multi-agent systems (LangChain, LangGraph)
- Experience with LLMOps, prompt/context engineering, AI evaluation, and observability (LangSmith)
- Experience designing data platforms — Data Lake, Apache Iceberg, Spark, Glue, Athena, streaming (Kafka/MSK)
- Experience leading technical design, architecture reviews, and cloud migration/modernization initiatives
- Excellent stakeholder management, communication, and technical leadership skill
“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
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