Software Engineer (with GCP experience)

Sportserve
Leeds
1 year ago
Applications closed

Related Jobs

View all jobs

Software Engineer - Data Engineering

Software Engineer - Data Engineering

Data Engineer - DV Cleared

Data Engineer

MLOps Engineer

Data Engineer


Sportserve Banner 1.jpegSportserve forms part of a remarkable group of B2C sports betting and B2B sportsbook technology companies, focused on delivering first class sports betting experiences and casino products for our users worldwide. Along with Sportion, TechSpirit, Standard Focus and Sportelligent, we are the driving force behind the world renowned sports betting company and our flagship brand, Dafabet.Since launching our global hiring initiative, we now employ over 2,000 people worldwide, offering exciting career paths in Technology, Trading, Operations and Media. We pride ourselves on having a diverse and international culture that embraces the global community and acts locally. We offer office based, hybrid and remote work on permanent and consultancy contracts all over the world, making us the true global employer of choice.

We are looking for an Software Engineer to help coordinate and drive team efforts to deliver software solutions.The team is responsible for Creating, improving and supporting our Backoffice, integration withmarketing tools, CRM, Data applications to our B2C and B2B providers, reporting system andmachine learning.We are looking for someone who will have made the transition from coding as a full time roleand is looking to build a career within technical management.You will be required to retain a solid technical understanding of systems and remain close to thesolutions being developed. Your main focus will be development, delivery and the governancearound these.The day to day work is interesting, challenging and fast paced amidst a hardworking anddelivery focused Company ethos. We hire people with a broad set of technical skills who areready to tackle some of technology’s greatest challenges.This role is eligible for inclusion in the Company’s hybrid working from home policy.


What you'll be getting up to: 

  • Working across a number of business areas providing development, maintenance and support.
  • Working as part of a team and occasionally working solo on development pieces of work as the business needs arise.
  • Take ownership for the overall planning, execution and success of complex technical projects.
  • Collaborate with other engineers and leaders across the company and ensure all our tools have the expected impact.
  • Design and implement tools that help engineering teams focus on shipping features, while making sure we're building infrastructure that is cost efficient, secure and reliable.
  • Keep abreast of developments in the field.
  • Help identify probable causes and provide immediate solution during an incident.
  • Drive forward the Agile mindset what of delivering - with the focus on speed to market.
  • Contribute significant ideas for making the applications user friendly.
  • Participate in cutting edge research in artificial intelligence and machine learning
    applications.
  • Contribute to engineering efforts from planning and organization to execution and
    delivery to solve complex, real-world engineering problems.
  • Develop and organize cloud systems.
  • Work closely with IT security to monitor the company's cloud privacy.
  • Respond to technical issues in a professional and timely manner.
  • Take responsibility for the overall planning, execution and success of complex projects.
  •  Proactively communicate with leadership: provide context around risks/blockers/timeline, seek guidance, and recommend a direction.

 

Minimum Requirements:

  • Bachelor's degree in Computer Science or any related technical field.
  • At least 3+ years of working on Google Cloud Platform.
  • Experience in cloud computing (e.g., applications, infrastructure, storage, platforms, data), as well as cloud market and competitive dynamics.
You'll be a great fit if you have:
  • Google Cloud Platform services knowledge - Cloud Run, App Engine, Cloud Functions, cloud Storage, Firestore, Pub/Sub, VM, VPC Networks, IAM. 
  •  Ability to manage many cases simultaneously, prioritizing appropriately
  • Python - Flask or Django framework, Machine learning experience is a plus.
  •  Advanced knowledge of SQL, preferably with Postgresql and BigQuery together with looker studio basic knowledge.
  • Experience working with API’s microservices and data manipulation.
  • Distributed caching (Hazelcast or Redis).
  • Apache NiFi and other ETL tools is a plus.
  •  Any JS framework knowledge is a plus.
  • Knowledge of Asynchronous Messaging (Pubsub, Kafka).
  • Background in Agile Software Development using Scrum Methodology is preferred but not required.
  • Passion for writing high quality, rock solid software.
  • Previously worked on large scale multi-threaded projects.
  • Experience building highly transactional, high volume distributed applications.
  • The team is a full stack team and the core skills are Go (Golang), Python and Typescript or Javascript.
  • Experience working with Linux is desirable.
  • Ability to work in an environment with high volumes of transactions.
  • Manage the environment incidents with a focus on service restoration.
  •  Ability to communicate with customers, developers
  • Nice to have: GCP Certifications
  • Experience with any of the Configuration Management (Cloud shell, Jenkins, Ansible).
  • Hands-on Experience with GCP Foundation, Storage bucket, Backup, Disaster
    Recovery, VPC networks, IAM, Stack driver, Troubleshooting, and Cloud Security.
  • Understand the requirement & Plan/Design/Execute new strategy/projects in GCP.
  •  Participated in Sev1, Sev2 incident calls, work with Team towards resolving the issues on-premise (DC) and in Google Cloud.
  • Background in Online Gaming is preferred but not required.

**We warmly invite applications in English.Diversity & Inclusion at Sportserve

At Sportserve, we are deeply committed to fostering a diverse and inclusive workplace. We believe in building a team that reflects a wide array of backgrounds, skills, and perspectives. Embracing diversity not only enriches our work culture but also drives innovation and excellence. We are proud to be an equal opportunity employer, where everyone’s contribution is valued and respected.

If you’re a passionate about technology and looking to start your career in an international, forward-thinking Sports Betting company, we’d love to hear from you. Apply now to become part of our exciting journey!

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.