Full-Stack PHP Developer

Vero HR Ltd
11 months ago
Applications closed

Related Jobs

View all jobs

Full Stack Data Engineer (Client Facing)

Full Stack Data Engineer (Client Facing)

Fully Remote Product Data Analyst | Equity + 10% Bonus

Fully Remote Product Data Analyst | Equity + 10% Bonus

Fully Funded Football Data Science PhD Fellowship

Fully Remote Product Data Analyst | Equity + 10% Bonus

We are the internal recruitment partner for our client, a leading fintech company revolutionising the payments landscape in the UK and Ireland and are presenting an exciting opportunity for aFull Stack PHP Developerto join the expanding engineering department.

Our client is an AWS shop and relies heavily on services such ECS, ECR, EC2, RDS (Aurora MySQL), S3, SQS, ElastiCache, Kinesis and Lambda so you will experience all of these in production. The current technology stack is primarily PHP and JavaScript but there may be opportunity to work with new technologies as the company expands and scales into the future - the skills you and your colleagues bring to the team will help shape the ongoing technology strategy.

You will be naturally inquisitive, work well under pressure and have impeccable attention to detail. We welcome ideas and encourage autonomy, so being confident solving new and unusual problems independently is paramount.

Requirements

  • Proven experience coding modern test-driven PHP.
  • A solid understanding of, and ability to code in, vanilla JavaScript.
  • Prior exposure to CI/CD and DevOps tools (we use Github Actions).
  • Experience with at least one PHP MVC framework beyond simple CRUD/CMS type applications. We use both CakePHP and Laravel extensively.
  • Strong SQL skills (the ability to write and optimise complex queries by hand).
  • Demonstrable experience integrating with 3rd party APIs as well as building, maintaining, testing and deploying APIs for other developers to consume.
  • To be comfortable with the Linux command-line.
  • Practical experience writing cross-browser HTML/CSS with a framework such as
  • Bootstrap or Bulma along with the necessary Javascript to tie the UI together.
  • Excellent communication skills with both technical and non-technical audiences.
  • A can-do “nothing is impossible” attitude.

Desirable:

  • Used a modern JS framework in production (such as Vue.js or Svelte).
  • Previously worked on or with financial systems.
  • Experience with alternative datastores (MongoDB, ElasticSearch, etc).
  • Some history working with a complex application on AWS, ideally incorporating redundancy/high-availability measures and/or multi-region deployments.
  • An interest in machine learning.
  • Familiarity with Docker, bonus for any AWS ECR/ECS usage.
  • Experience with popular eCommerce software such as WooCommerce or Magento.
  • Practical knowledge of ‘defensive’ programming techniques and/or a keen interest in web application security.
  • Solved complex performance problems or architectural challenges in prior roles.
  • An understanding of deterministic programming, specifically with durable functions/workflow authoring. Bonus points for any experience with Temporal.
  • Previously used LocalStack for developing cloud-native applications.
  • Contributed to one or more open-source projects.

Benefits

  • A competitive salary of £35,000 - £60,000 dependent on skills, knowledge and experience
  • Remote position with occasional in-person meets in London, Essex or HQ in Melton Mowbray
  • Working Hours: 09:00 – 18:00 across Monday to Friday
  • 25 days annual leave plus bank holidays
  • Private healthcare
  • Great potential for personal and professional development within a growing company

Interested? APPLY now for immediate consideration.

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.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.