Senior Full Stack Developer

Mixam
Watford
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Lead Data Engineer

Senior Machine Learning Engineer

Data Analyst – Demand Planning & Supply Chain

Senior Machine Learning Engineer - Research

Salaried Annual Salary: £85000 to £100000 Work Location: Watford, England Who we are Mixam is a technology start-up with a leading printing platform that makes customizable products for a global audience. We make print easy, accessible, and affordable with competitive pricing, exceptional materials and professional customer service. Our printing solutions combine expert knowledge with the latest technology to give individuals and businesses unparalleled online shopping experiences. People are at the center of everything we do. Fueled by idea-sharing and collaboration, our diverse and inclusive team leverages every member's strengths and skills to ensure they can grow in a thriving, dynamic environment. Your work will directly contribute to the success of our business and ultimately help customers realize their ideas as tangible, lasting creations. What we need Mixam is an innovative and dynamic company and we are looking for developers to join our team with a true passion for innovation. We embrace change and are excited by people who can help shape our future. To work well within this role it's essential that you are highly organised with a strong work ethic. We are a small but growing team and you will need to be able to focus on delivery to make a big impact with us. Things you’ll be responsible for: Work with development teams and product managers to ideate software solutions Design client-side and server-side architecture Maintain an evolve document based database with over 1 million records Write effective APIs Test software to ensure responsiveness and efficiency Troubleshoot, debug and upgrade software Create security and data protection settings Build features and applications with a mobile responsive design Write technical documentation Work with data scientists and analysts to improve software Our Stack: Frameworks: Spring MVC, React Languages: ES6 - Javascript, Java, HTML, Less Databases: MongoDb Devops: AWS Your Skills and Abilities Proven experience as a Full Stack Developer or similar role with at least 10 years of experience Experience developing desktop and mobile applications An excellent knowledge and commercial experience developing in Java Advanced knowledge using client side JavaScript, CSS, and HTML Experience in code testing methodologies. Knowledge of multiple front-end languages and libraries (e.g. React) Knowledge of multiple languages (e.g. Java) and JavaScript frameworks Familiarity with Databases especially document and key-value databases (e.g. MongoDB and Redis) Familiarity with UI/UX design Excellent communication and teamwork skills Degree in Computer Science, Statistics or relevant field Experience in the print industry Nice to have but not required Experience working at a start-up Experience working with Global Teams Experience with sites in various countries and with different country regulations Experience working with the printing industry PDF generation and manipulation (e.g. Callas pdfToolBox) Terraform Apache Spark Image processing (e.g. ImageMagick and THREE) Your Future Team Members Anthony C: I am a Senior engineer with Mixam for 3.5 years. I enjoy family life, holidays and good food. As a rapidly growing company, working at Mixam offers many interesting technical challenges around both scalability and the unique way we provide highly specialised print services. Lucian P: I create, maintain and upgrade our Workflow ensuring that our customers and internal teams encounter little to no friction or manual intervention during their experience. I have been with Mixam since 2019 and I enjoy the ‘Can do’ attitude and willingness to explore new avenues. In my free time, I enjoy hiking in nature, cooking, reading, and staying active. What’s In It For You 25 days holiday 5 sick days Snacks and beverages for the office Chance to work across the entire product suite: from improving the platform, to developing new products and features. DEI/Environmental Statement Join our team and be part of a transformative journey where diversity, equity, and inclusion (DEI) are not just words but integral values that shape our culture and drive our success. We believe that fostering a diverse and inclusive workplace not only strengthens our team but also fuels innovation and creativity. Moreover, we are deeply committed to protecting the environment and minimizing our ecological footprint. From reducing waste and carbon emissions to implementing sustainable practices across our operations, we strive to be stewards of our planet. By joining us, you'll not only contribute to meaningful work but also be part of a company that prioritizes social responsibility and environmental sustainability. Together, let's create a future where everyone feels valued, empowered, and inspired, while also safeguarding the beauty and vitality of our planet for generations to come. Frequently cited statistics show that women and underrepresented groups apply to jobs only if they meet 100% of the qualifications. No one ever meets 100% of the qualifications We encourage anyone who is interested to apply based on the responsibilities and requirements outlined. You may be the ‘diamond in the ruff’ that we are waiting for We look forward to your application. Mixam is an equal opportunity employer and committed to providing an open, welcoming environment for everyone.

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.

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.

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.

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.