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TalentHawk

Senior Python Engineer - AWS and AI

London
Posted 2 days ago
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Senior Python Engineer - AWS and AI

Senior Python Engineer – AWS & AI (2 days/WEEK in London)

About the Role

Our client—a market-leading fintech platform—seeks a Senior Python Engineer to drive the innovation of their core B2B SaaS products. As part of this role, you’ll:

  • Design and scale Python-based microservices handling massive financial datasets
  • Partner with product teams to optimise workflows and deliver technical leadership
  • Lead mentorship for junior engineers, ensuring upward growth through collaborative code reviews and guidance

The organisation champions a culture of cutting-edge engineering, particularly in AI-driven automation. You’ll actively leverage AI agent tools (e.g., GitHub Copilot, Claude, Cursor) to enhance delivery speed while upholding technical excellence.

Key Responsibilities

  • SaaS Development

    • Design, develop, and scale Python microservices designed for single- and multi-tenant Enterprise SaaS architectures
    • Ensure reliability, performance, and security across scalable financial platforms

  • AI-Augmented Engineering

    • Champion the adoption of AI productivity tools (LLMs, Copilot, etc.) to accelerate development workflows
    • Standardise automated testing, refactoring, and documentation processes

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.

P

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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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

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  • Cloud & DevOps Leadership

    • Optimise AWS infrastructure with emphasis on:
      • Observability (metrics, logging, tracing)
      • Security (least-privilege principles, compliance)
      • Operational resilience (CI/CD pipelines, IaC)
    • Manage cloud services including Cognito, Lambda, Fargate, SQS, SNS, and EventBridge

  • Data Architecture & Collaboration

    • Work closely with Product Owners to translate complex data requirements into clear, actionable engineering roadmaps
    • Drive data-driven decision-making through clean, performant PostgreSQL systems

  • Technical Mentorship

    • Guide junior/mid-level engineers through code reviews, pairing, and skill births
    • Foster a culture of collaborative ownership in technical deliverables

Technical Requirements

  • Python Proficiency
    • Deep expertise in scaling Python-based microservices for B2B SaaS systems
    • Hands-on experience in REST/web API development and distributed systems
  • AWS Expertise
    • Practical skill with core AWS services: Autoscale, API Gateway, S3, Terraform (IaC), and IAM permissions Cloud observability tools: CloudWatch, X-Ray
  • Data Layer Knowledge
    • Advanced PostgreSQL skills, including relational modelling and query performance tuning
  • AI & Developer Tools
    • Proven experience integrating AI assistant workflows (e.g., LangChain, LlamaIndex*) into daily software delivery
    • Strong familiarity with LLM-driven tools (e.g., Cursor, Copilot)
  • Engineering Leadership
    • Ability to allegedly technical ambiguity while driving alignment with stakeholders
    • Track record of owning project outcomes from requirements to deployment

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Desirable Skills

  • FinTech/Capital Markets
    • Experience with real-time financial data processing, APIs, or visualisation tools e.g., Pandas, DuckDB
  • Advanced AWS Proficiency
    • Advanced use of event-driven architectures with SQS, SNS, or Step Functions
  • Frontend Interface
    • Competency in TypeScript for data-heavy dashboards or visual analytics
  • Big Data Tools
    • Familiarity with Spark, Snowflake, or Kafka for mass datasets
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Skills

Python
AWS
SaaS
Microservices
AI
PostgreSQL
Terraform
REST APIs
Cloud Operations
Data Visualization
Event-Driven Architectures
TypeScript
Mentorship
Engineering Leadership
B2B

Location

London, England, United Kingdom

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