Python Developer

MishiPay
London
4 days ago
Applications closed

Related Jobs

View all jobs

Python Developer

Python Developer - Digital Transformation Team

Python Developer

Python Developer

Python Developer Anaconda - MedTech

Python/Data Science Developer

Python Developer / Backend Engineer

MishiPay

London

Competitive salary plus bonus

We will offer Sponsorship for the right candidate, but you MUST be based in the UK already.

The role is onsite, but we offer 36 days WFH a year

Unlimited Holidays


STRICTLY NO RECRUITMENT AGENCIES PLEASE. We operate a direct sourcing model, PLEASE DO NOT CONTACT US WITH SPECULATIVE EMAILS OR CANDIDATE PROFILES.


About Us

Founded in 2015, MishiPay (https://mishipay.com/) is an international, leading checkout technology company that empowers shoppers to check out instore using either self-checkout via their own smartphones, or using MishiPay's industry leading, minimalist, low cap-ex kiosks. We are creating an enjoyable and convenient in-store shopping experience for leading retailers globally.


MishiPay now also runs Mobile POS, Click and Collect and Cash registers, so that merchants, who initially start with our self-checkout, can eventually run their whole store checkout process on MishiPay. With our technology, retailers have proven reductions in cost, due to requiring fewer cashiers, a marked increase in sales due to improved basket sizes, higher frequency of shopper visits and reduction in abandoned baskets, and in addition, all our retailers can access rich and priceless data about their customers. This enables a much better understanding of the customer journey in their bricks and mortar stores.


We now have major international retail customers in the UK, Europe, Middle East and the USA, and we’re expanding!


As the leading Scan and Go provider, we work with some of the world’s largest retailers including MUJI, Virgin Megastore, Flying Tiger Copenhagen, Paradies Lagardère, Dubai Duty Free and many more. What’s more, we are backed by fantastic investors including American Express, Nauta Capital and United Ventures.  


MishiPay is growing, with our users increasing by over 600% year-on-year so this is a chance to make a real impact on international retail technology.


About The Role

We are looking for a Python Backend Developer to join our talented international engineering squad. The team is responsible for our main infrastructure and delivering the necessary tools to create the best in-store experience possible. You'll have circa two years experience working with retail, ecommerce, payments or similar B2C type applications with thousands of users and millions of requests.


You’ll work closely with the CPO and other squad members, alongside the Product, Payment, Security and Delivery teams achieving the roadmap which has been set against our top business priorities. You’ll work on getting rid of tech debt, deploy best in class systems and architecture and ensure that we can scale to 1000s of stores while maintaining system performance at over 99.9% at the push of a button.


You should have experience building microservices from scratch that have, over time, scaled to millions of requests. Experience working with retail systems such as inventory, promotions, ERP, EPOS, loyalty programmes or payments in a physical or online retail environment is a huge plus for this position. If you're a startup enthusiast who is passionate about solving complex problems and wants to learn something new everyday, we'd absolutely love to speak to you!


Key Responsibilities

  • Deliver stability of over 99.95% across MishiPay’s key platforms
  • Support scaling of the infrastructure so it can handle up to 100k transactions a day
  • Design, code, and develop new features/fix bugs/add enhancements that improve performance of large scale services.
  • Actively work to clear tech-debt as we continue developing new technology
  • Prepare high quality technical documentation


Required Experience​

  • Circa 2-4 years development experience using Python programming language (preferably also NodeJS)
  • Experience with at least one relational DB such as PostgreSQL, MySQL & also one NoSQL database like MongoDB, Cassandra, DynamoDB
  • Hands on experience with at least one major cloud provider like AWS, Azure or GCP (Azure preferred)
  • Hands-on experience with at least one of the deployments-orchestration technologies like Kubernetes, Docker Swarm etc
  • Ideally you'll also have hands-on experience with event-driven services and technologies like Kafka, Amazon SQS, Apache Spark etc
  • It's essential you've worked in a scaling startup, within fintech, retail or ecommerce, or payments.
  • Able to work at pace, and cope with change. You'll be flexible, proactive and a real problem solver.


Why MishiPay?

You’ll work with an inspirational multi-cultural team, based in our central London HQ, the US and Bangalore, who are redefining the retail industry globally. We offer a tight-knit, collaborative and exciting work environment, coupled with the opportunity to see the apps we develop live in action within some of the world’s largest retailers, impacting the lives of millions of shoppers.


You may also work as Software Engineer, Software Developer, Python Engineer, Backend Engineer, Backend Developer or similar

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Tips for Staying Inspired: How Machine Learning Pros Fuel Creativity and Innovation

Machine learning (ML) continues to reshape industries—from personalised e-commerce recommendations and autonomous vehicles to advanced healthcare diagnostics and predictive maintenance in manufacturing. Yet behind every revolutionary model lies a challenging and sometimes repetitive process: data cleaning, hyperparameter tuning, infrastructure management, stakeholder communications, and constant performance monitoring. It’s no wonder many ML professionals can experience creative fatigue or get stuck in the daily grind. So, how do machine learning experts keep their spark alive and continually generate fresh ideas? Below, you’ll find ten actionable strategies that successful ML engineers, data scientists, and research scientists use to stay innovative and push boundaries. Whether you’re an experienced practitioner or just breaking into the field, these tips can help you fuel creativity and discover new angles for solving complex problems.

Top 10 Machine Learning Career Myths Debunked: Key Facts for Aspiring Professionals

Machine learning (ML) has become one of the hottest fields in technology—touching everything from recommendation engines and self-driving cars to language translation and healthcare diagnostics. The immense potential of ML, combined with attractive compensation packages and high-profile success stories, has spurred countless professionals and students to explore this career path. Yet, despite the boom in demand and innovation, machine learning is not exempt from myths and misconceptions. At MachineLearningJobs.co.uk, we’ve had front-row seats to the real-life career journeys and hiring needs in this field. We see, time and again, that outdated assumptions—like needing a PhD from a top university or that ML is purely about deep neural networks—can mislead new entrants and even deter seasoned professionals from making a successful transition. If you’re curious about a career in machine learning or looking to take your existing ML expertise to the next level, this article is for you. Below, we debunk 10 of the most persistent myths about machine learning careers and offer a clear-eyed view of the essential skills, opportunities, and realistic paths forward. By the end, you’ll be better equipped to make informed decisions about your future in this dynamic and rewarding domain.

Global vs. Local: Comparing the UK Machine Learning Job Market to International Landscapes

How to evaluate opportunities, salaries, and work culture in machine learning across the UK, the US, Europe, and Asia Machine learning (ML) has rapidly transcended the research labs of academia to become a foundational pillar of modern technology. From recommendation engines and autonomous vehicles to fraud detection and personalised healthcare, machine learning techniques are increasingly ubiquitous, transforming how organisations operate. This surge in applications has fuelled an extraordinary global demand for ML professionals—data scientists, ML engineers, research scientists, and more. In this article, we’ll examine how the UK machine learning job market compares to prominent international hubs, including the United States, Europe, and Asia. We’ll explore hiring trends, salary ranges, workplace cultures, and the nuances of remote and overseas roles. Whether you’re a fresh graduate aiming to break into the field, a software engineer with an ML specialisation, or a seasoned professional seeking your next challenge, understanding the global ML landscape is essential for making an informed career move. By the end of this overview, you’ll be equipped with insights into which regions offer the best blend of salaries, work-life balance, and cutting-edge projects—plus practical tips on how to succeed in a domain that’s constantly evolving. Let’s dive in.