This job posting is no longer available
We're Checkout.com
We're building the connected finance businesses deserve. Unleashing them with tomorrow's technology, today. Our flexible payments solutions help global enterprises β like Samsung, Deliveroo and Adidas β launch new products and create experiences customers love. And it's not just what we build that makes us different. It's how.
We liberate smart, passionate people to collaborate, innovate and do their best work β faster. That's why we're one of the most valuable fintech firms around. But we're just getting started. By cutting through financial complexity, we'll empower companies to change the world. Join us. Unlock your potential.
Build tomorrow, today.
Senior Software Engineer at Checkout.com:
Our solutions allow merchants to route dynamically a transaction to the best payment provider to optimise their conversion rate. Your main task will be to design and create or maintain micro-services within our infrastructure. Our product handles millions of transactions within a week. The API has its key part on it but the load is also on a multitude of other services.
You will work closely with our technical teams to learn about the possible technical bottle-necks. We have implemented different technologies such as Go (go-kit toolkit, gRPCβ¦), Kubernetes, AWS, PostgreSQL and many others. Your role would be to lead us to new technologies that our product can benefit from.
Our product handles financial data making uptime one of our key KPIs. We expect that you will be able to work on high-availability and technically challenging programs.
You will join a talented team of 10 engineers, Data Scientists and DevOps, that are tech-passionate, working closely with most of them. Our main goal is to ensure that we can contribute to your personal growth as an engineer.
Payments are often compared to a black-box. Merchants around the world have issues understanding how their performance is and what optimization can be done. Our team is focused on building the best payment performance tool there is. It allows merchants to better understand their online processes as well as offline payments.
We offer 2 products to our merchants:The first, named Telescope, allows us to analyse, understand and make recommendations to a merchant. It does not require any technical integration from them and works mainly through webhooks, pulling data from APIs or parsing exported files.
If you don't meet all the requirements but think you might still be right for the role, please apply anyway. We're always keen to speak to people who connect with our mission and values.
#LI-RS2
What we stand for
At Checkout.com, everything starts with our values, including the experience we offer our people.
#Aspire
We supercharge your professional growth with career development programs and leadership training. You can learn your way, with tailored pathways and online platforms. And be inspired at relevant conferences.
#Excel
We don't stop at 'good' here. We strive for excellence amongst our teams every day and recognize colleagues who take it to the next level through our quarterly peer-nominated Hero awards.
#Unite
We're proud of our global connections and inclusive environment. So we champion this through our colleague-led community groups and celebrate many cultural events together.
More about Checkout.com
We empower businesses to adapt, innovate and thrive with the connected payments they deserve. Our technology makes payments seamless. We provide the fastest, most reliable payments in more than 150 currencies, with in-country acquiring, world-class fraud filters and reporting, through one API. And we can accept all major international credit and debit cards, as well as popular alternative and local payment methods. Checkout.com launched in 2012, and we now have a team of 1000 people across 17 international offices. To date, weβve raised a total of $830 million, with our recent Series C valuing us at $15 billion.
We believe in equal opportunities
Checkout.com is an equal opportunities employer. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion, or belief. We make recruiting decisions based on your experience, skills and personality. We believe that employing a diverse workforce is the right thing to do and is central to our success.
Seldon is looking for a Software Engineer to join our team. We are focused on making it easy for machine learning models to be deployed and managed at scale in production. We provide Cloud Native products that run on top of Kubernetes and are open-core with several successful open source projects including Seldon Core, Alibi:Explain and Alibi:Detect. We also contribute to open source projects under the Kubeflow umbrella including KFServing.
About the role Design and build scalable machine learning solutions on top of the open source and enterprise Seldon products. Working on bring the Explainable AI and ML Monitoring available in the Alibi projects into the enterprise products for general use.
Essential skills A degree or higher level academic background in a scientific or engineering subject. Familiarity with linux based development. At least 2 years of experience in industry or academia showing completed projects.
Core skills (The role will be focused on these skills so we would expect existing experience or a demonstrable desire to learn these) Experience with GoLang and Python Experience with Kubernetes and the ecosystem of Cloud Native tools. Experience using machine learning tools in production. Bonus skills (Any of these will be of great interest to us) A broad understanding of data science and machine learning. Understanding of explainable AI or machine learning monitoring in production Familiarity with Kubeflow, MLFlow or Sagemaker Familiarity with python tools for data science
About our tech stack Some of our high profile technical projects: We are core authors and maintainers of Seldon Core, the most popular Open Source model serving solution in the Cloud Native (Kubernetes) ecosystem We built and maintain the black box model explainability tool Alibi We are co-founders of the KFServing project, and collaborate with Microsoft, Google, IBM, etc on extending the project We are core contributors of the Kubeflow project and meet on several workstreams with Google, Microsoft, RedHat, etc on a weekly basis We are part of the SIG-MLOps Kubernetes open source working group, where we contribute through examples and prototypes around ML serving We run the largest Tensorflow meetup in London And much more π
Some of the technologies we use in our day-to-day: Go is our primary language for all-things backend infrastructure including our Kubernetes Operator, and our new GoLang Microservice Orchestrator) Python is our primary language for machine learning, and powers our most popular Seldon Core Microservices wrapper, as well as our Explainability Toolbox Alibi We leverage the Elastic Stack to provide full data provenance on inputs and outputs for thousands of models in production clusters Metrics from our models collected using Prometheus, with custom Grafana integrations for visualisation and monitoring Our primary service mesh backend leverages the Envoy Proxy, fully integrated with Istio, but also with an option for Ambassador We leverage gRPC protobufs to standardise our schemas and reach unprecedented processing speeds through complex inference graphs We use React.js for our all our enterprise user products and interfaces Kubernetes and Docker to schedule and run all of our core cloud native technology stack
Benefits Share options to align you with the long-term success of the company. Exciting phase of fast-paced start-up challenges with an ambitious team and unlimited potential for professional growth. Access to discounted lunches, gyms, shopping and cinema tickets. Healthcare benefits. Cycle To Work Scheme.
Logistics Our interview process is normally a phone interview, a coding task, and 2-3 hours of final interview (carried out virtually). We promise not to ask you any brain teasers or trick questions. We might design a system together on a whiteboard, the same way we often work together, but we wonβt make you write code on one. Our recruitment process has an average length of 3 weeks.