Senior Back End Engineer

W Talent
London, United Kingdom
Today
£80,000 – £120,000 pa

Salary

£80,000 – £120,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
On-site
Seniority
Senior
Education
Degree
Posted
1 May 2026 (Today)

Senior Backend Engineer

Location: London

Work Type: On-site

Company Description

We are a rapidly growing consumer technology company operating at the intersection of AI, aesthetics, and digital experiences. With a global community of millions, we are building innovative AI-driven products that are transforming how users engage with and understand visual data.

Our offerings range from consumer-facing AI analysis tools to partnerships with leading global brands. As we scale quickly, we are expanding our team and pushing the boundaries of how technology and user experience come together.

Role Description

We are seeking a talented Senior Backend Engineer to join our London-based team full-time. You will play a key role in building and scaling the core infrastructure of our AI platform, owning critical backend systems, and supporting rapid product growth.

This is a high-impact, fast-paced role with significant autonomy, where your work will directly influence product direction and user experience.

Key Responsibilities

Design and implement backend services and APIs using Python, FastAPI, and Django

Build and maintain scalable RESTful APIs with PostgreSQL

Develop and integrate AI/LLM-powered features using frameworks such as LangChain

Implement and manage payment systems, including Stripe integrations and subscription flows

Build image processing and computer vision pipelines

Write clean, maintainable, and well-documented code deployed via Docker and CI/CD pipelines

Collaborate using GitHub, maintaining high code quality and team standards

Work with BaaS platforms (e.g., Supabase) for authentication, storage, and real-time functionality

Ensure performance, scalability, and security best practices

Collaborate cross-functionally with Product, Design, and Frontend teams

Contribute to architectural decisions and mentor other engineers

Develop data-driven backend services and pipelines

Support production systems and deployments within a small, high-performing team

Qualifications

5+ years of professional software engineering experience

Strong Python expertise with backend development experience

Proven experience with FastAPI and/or Django, REST APIs, and PostgreSQL

Experience integrating Stripe for payments and subscriptions

Familiarity with image processing and computer vision

Experience with Docker, GitHub, and modern deployment workflows

Knowledge of cloud platforms (AWS, GCP, or Azure)

Strong understanding of software design principles (SOLID, patterns, clean code)

Experience with BaaS platforms such as Supabase or Firebase

Ability to thrive in fast-paced, high-ownership environments

Nice to Have

Experience with LLM APIs (e.g., OpenAI, Anthropic, Gemini) and LangChain

Background in AI/ML (e.g., generative models, GANs, diffusion, regression)

Experience building data pipelines and data-driven systems

Familiarity with workflow orchestration tools (e.g., Temporal, Prefect)

Why Join

Be part of a fast-growing company in the AI and consumer tech space

High ownership and autonomy over technical decisions

Work closely with founders and a mission-driven team

Strong market traction and growth potential

Opportunity to shape a rapidly evolving industry

Related Jobs

View all jobs

Senior Data Engineer

Ageas Insurance Limited Reigate, RH2 0AA, United Kingdom
£70,000 – £85,000 pa Hybrid

Forward Deployed Engineer

VIQU IT London, United Kingdom
£800 – £850 pd Contract

Staff Quality Engineer

Matillion Manchester, United Kingdom
£40,000 – £70,000 pa Hybrid

Senior Backend Engineer - Python

Xact Placements Limited United Kingdom

Data Engineer

Robert Walters Manchester, United Kingdom
£55,000 – £60,000 pa Hybrid

Backend Engineer

Randstad Technologies Recruitment London, United Kingdom
£500 – £522 pd Remote Clearance Required

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Advertising data engineering jobs in the UK requires a different approach to most technical hiring. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

How Many Data Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.