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⚡ Source: ReedRef: 56531217

Python Developer

Xact Placements Limited·London·Posted 3 months ago
🏠 Hybrid💰 £40-50k/year
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Job description

Original text imported from Reed

Backend Python Developer (Azure AI)

Location: Remote / Hybrid

Type: Full-time

Our client is a fast-growing consulting business building an AI-driven platform on native Microsoft Azure services. They are looking for a strong Backend Python Developer to join their team and play a key role in delivering scalable, AI-first solutions used for business automation, workflows, and intelligent agents.

This is an opportunity to work in a lean, high-impact environment where speed, quality, and innovation matter.

The Role

The successful candidate will:

  • Design, build, and maintain backend services in Python, writing clean, maintainable, production-grade code.
  • Develop and deploy AI-powered features using Azure-native services including Azure AI Foundry, Azure AI Search, Cosmos DB, Docker, and AKS.
  • Architect and implement scalable, cloud-native solutions.
  • Work within tight development cycles — branch, commit, test, and ship via GitHub-based CI/CD pipelines.
  • Write comprehensive unit tests and contribute to high code quality standards.
  • Collaborate within agile sprints and contribute to technical design decisions.
The Ideal Candidate

Our client is seeking someone with:

  • Strong commercial experience in Python backend development.
  • Experience building APIs and working with cloud-native architectures.
  • Solid understanding of Docker, Kubernetes, and scalable distributed systems.
  • Experience using GitHub for version control, pull requests, and CI/CD workflows.
  • An agile mindset and the confidence to work in a fast-paced, iterative environment.
Desirable Experience
  • Exposure to Azure’s AI ecosystem (AI Foundry, AI Search, Cosmos DB, AKS).
  • Experience integrating AI/LLM-based services into production systems.
  • Familiarity with modern development tooling such as VS Code and AI-assisted coding tools.
Why Apply?
  • Work on a genuinely AI-first product with real-world commercial impact.
  • Join a collaborative, technically strong team with minimal red tape.
  • Remote flexibility with a culture focused on delivery, ownership, and innovation.

If you are a backend Python developer who enjoys building intelligent, scalable systems in Azure and wants to work at the forefront of applied AI, this opportunity is worth exploring.

SpeedCV AI

Key skills

AI-extracted from the job advert

Must-have skills
Python backend developmentAPI developmentCloud-native architectureDockerKubernetesGitHub version controlUnit testing
Nice-to-have
Azure AI FoundryAzure AI SearchCosmos DBAKSAI/LLM integrationVS Code
Soft skills
Agile mindsetCollaborationInnovationOwnershipTechnical decision-making
SpeedCV AI

Application advice

5 AI-generated recommendations to maximise your chances.

1

⭐ Highlight your Python backend development experience prominently as this is the core requirement mentioned throughout the advert

2

🔧 Emphasise Azure-native services experience, particularly AI Foundry, AI Search, and Cosmos DB as these are specifically mentioned

3

📊 Quantify your Docker and Kubernetes experience: 'Containerised 15 microservices, reducing deployment time by 60%'

4

🤖 Showcase any AI/LLM integration projects as the role focuses on AI-driven platform development

5

⚡ Demonstrate your agile and fast-paced development experience as they emphasise speed and tight development cycles

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Suggested CV bullets

3 bullets our AI drafted for this specific advert, mirroring its ATS keywords.

How to tailor your CV

Add these 3 bullets under your most recent experience:

  • Developed 12 Python APIs using Azure AI Search and Cosmos DB, processing 50,000+ daily requests with 99.8% uptime
  • Containerised 8 microservices with Docker and deployed via AKS, reducing deployment time from 45 to 8 minutes
  • Implemented GitHub CI/CD pipelines for Python applications, achieving 95% automated test coverage and 3x faster release cycles

Free to copy — tailoring requires a 30-sec CV upload.

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AI cover letter

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We've drafted a cover letter for Xact Placements Limited. Preview the opening, then unlock the full personalised version.

Letter preview — tailored to Xact Placements Limited

Dear Hiring Manager,

Xact Placements' AI-driven platform opportunity perfectly aligns with my backend Python expertise and passion for Azure-native development. My experience building scalable APIs with Docker containerisation and Kubernetes orchestration directly matches your requirements for cloud-native solutions.

My background in Python backend development has equipped me with the technical skills and agile mindset needed to thrive in fast-paced, iterative environments where quality and innovation are paramount.

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SpeedCV AI

Interview questions

10 questions generated from this advert.

Technical

  • How would you design a scalable Python API using Azure-native services?
  • Explain your approach to containerising Python applications with Docker for AKS deployment
  • How would you integrate Azure AI Search with a Python backend for intelligent search functionality?
  • Describe your experience with GitHub CI/CD pipelines for Python applications
  • How would you implement unit testing for AI-powered Python services?

Behavioural

  • Tell me about a time you had to deliver a complex feature under tight deadlines
  • Describe a situation where you had to make important technical design decisions
  • How do you handle working in a fast-paced, iterative development environment?
  • Give an example of when you collaborated effectively within an agile team
  • Tell me about a time you took ownership of a challenging technical problem
SpeedCV AINEW

STAR answer examples

Model answers using the Situation-Task-Action-Result framework. Adapt to your own experience.

1Question

Tell me about a time you had to deliver a complex feature under tight deadlines

We had 3 weeks to integrate a new payment API into our Python backend before a major client launch. The existing architecture wasn't designed for real-time payment processing. I analysed the requirements and proposed a microservices approach using Docker containers. I developed the payment service in Python with comprehensive unit tests, implemented Redis caching for performance, and set up monitoring dashboards. Despite the tight timeline, I delivered 2 days early with 99.9% uptime during the first month, processing over 10,000 transactions worth £2.4 million.
2Question

Describe a situation where you had to make important technical design decisions

Our team needed to choose between MongoDB and PostgreSQL for a new analytics platform handling 100,000 daily events. I conducted performance benchmarks with both databases using our expected data patterns. PostgreSQL showed 40% better query performance for our complex aggregations, while MongoDB offered easier horizontal scaling. I presented both options to stakeholders, recommending PostgreSQL with read replicas. This decision reduced average query time from 800ms to 320ms and saved £15,000 annually in infrastructure costs compared to the MongoDB clustering approach.

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