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We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. As a Senior Engineer in our ML Platform squad, you will drive the development of a brand-new ML Platform for the whole Engineering organisation at Super Technologies. You will enable adoption of ML and AI across all teams and tribes, with your work directly impacting platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily. This role blends hands-on technical work with strategic thinking — you will lead by example, contribute high-quality code, and help shape the ML roadmap through cross-functional collaboration. What the role involves Design and build scalable backend services and APIs to support ML experimentation, deployment, and monitoring. Re-architect and rebuild existing data pipelines to handle real-time data processing and support production ML models. Develop tools that make it easier for ML engineers to design, test, and deploy ML pipelines. Ensure platform services are robust, secure, and meet high standards for performance and reliability. Collaborate with ML engineers, data scientists, and product teams to understand their needs and translate them into platform capabilities. Drive adoption of ML best practices and promote reusability of tools across teams. Contribute to the overall architecture and vision of the ML platform, ensuring it can scale with the company's growth. Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement. What we are looking for 7+ years of professional experience as a Backend Engineer, Software Engineer, or similar role. Strong programming skills in Python. Proven experience designing and building distributed systems and APIs at scale. Hands-on experience with real-time data processing frameworks (e.g. Kafka, Flink, Spark Streaming, Pulsar). Experience working with cloud platforms (AWS, GCP, or Azure) and containerisation/orchestration (Docker, Kubernetes). Strong understanding of data modelling, storage systems, and streaming/processing architectures. Familiarity with ML tooling such as MLflow, ZenML, or Metaflow. Familiarity with ML model lifecycle management (training, deployment, monitoring). Excellent collaboration and communication skills, with the ability to work cross-functionally. Nice to have Experience building or working on ML platforms or MLOps frameworks. What we offer Medical / Health Insurance Open Annual Leave Employee Assistance Programme Training & Learning Development Additional benefits vary by country and will be shared during the hiring process. About Super We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide. Shaping the Future of Play Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA). At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.