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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 Staff Machine Learning Engineer in the Applied ML & Research team, you'll drive the development of machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact 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'll lead by example, contribute high-quality code, and help shape the ML roadmap through cross-functional collaboration. What the role involves Identify high-impact ML opportunities and influence stakeholders to prioritise and support these initiatives Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment Translate complex technical concepts into clear insights for both technical and non-technical stakeholders Set and guide technical direction across ML projects, ensuring alignment with technical best practices and business goals Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement What we are looking for Master's degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field 7+ years of industry experience building and deploying ML models at scale Proven ability to lead cross-functional technical initiatives and influence engineering strategy Proficiency in Python (with libraries such as PyTorch, XGBoost, and Scikit-learn) and SQL Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies A track record of shipping production-level ML products and maintaining high code quality Excellent problem-solving skills and the ability to scope and disambiguate complex ML projects into clear, achievable milestones Nice to have Familiarity with ML tooling such as MLflow, ZenML, or Metaflow Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito) Exposure to streaming data platforms such as Kafka Contributions to open-source ML projects or publications in ML conferences 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.

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 Staff Machine Learning Engineer in the Applied ML & Research team, you'll drive the development of machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact 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'll lead by example, contribute high-quality code, and help shape the ML roadmap through cross-functional collaboration. What the role involves Identify high-impact ML opportunities and influence stakeholders to prioritise and support these initiatives Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment Translate complex technical concepts into clear insights for both technical and non-technical stakeholders Set and guide technical direction across ML projects, ensuring alignment with technical best practices and business goals Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement What we are looking for Master's degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field 7+ years of industry experience building and deploying ML models at scale Proven ability to lead cross-functional technical initiatives and influence engineering strategy Proficiency in Python (with libraries such as PyTorch, XGBoost, and Scikit-learn) and SQL Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies A track record of shipping production-level ML products and maintaining high code quality Excellent problem-solving skills and the ability to scope and disambiguate complex ML projects into clear, achievable milestones Nice to have Familiarity with ML tooling such as MLflow, ZenML, or Metaflow Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito) Exposure to streaming data platforms such as Kafka Contributions to open-source ML projects or publications in ML conferences 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.

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 Staff Machine Learning Engineer in the Applied ML & Research team, you'll drive the development of machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact 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'll lead by example, contribute high-quality code, and help shape the ML roadmap through cross-functional collaboration. What the role involves Identify high-impact ML opportunities and influence stakeholders to prioritise and support these initiatives Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment Translate complex technical concepts into clear insights for both technical and non-technical stakeholders Set and guide technical direction across ML projects, ensuring alignment with technical best practices and business goals Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement What we are looking for Master's degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field 7+ years of industry experience building and deploying ML models at scale Proven ability to lead cross-functional technical initiatives and influence engineering strategy Proficiency in Python (with libraries such as PyTorch, XGBoost, and Scikit-learn) and SQL Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies A track record of shipping production-level ML products and maintaining high code quality Excellent problem-solving skills and the ability to scope and disambiguate complex ML projects into clear, achievable milestones Nice to have Familiarity with ML tooling such as MLflow, ZenML, or Metaflow Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito) Exposure to streaming data platforms such as Kafka Contributions to open-source ML projects or publications in ML conferences 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.

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 Staff Machine Learning Engineer in the Applied ML & Research team, you'll drive the development of machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact 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'll lead by example, contribute high-quality code, and help shape the ML roadmap through cross-functional collaboration. What the role involves Identify high-impact ML opportunities and influence stakeholders to prioritise and support these initiatives Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment Translate complex technical concepts into clear insights for both technical and non-technical stakeholders Set and guide technical direction across ML projects, ensuring alignment with technical best practices and business goals Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement What we are looking for Master's degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field 7+ years of industry experience building and deploying ML models at scale Proven ability to lead cross-functional technical initiatives and influence engineering strategy Proficiency in Python (with libraries such as PyTorch, XGBoost, and Scikit-learn) and SQL Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies A track record of shipping production-level ML products and maintaining high code quality Excellent problem-solving skills and the ability to scope and disambiguate complex ML projects into clear, achievable milestones Nice to have Familiarity with ML tooling such as MLflow, ZenML, or Metaflow Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito) Exposure to streaming data platforms such as Kafka Contributions to open-source ML projects or publications in ML conferences 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.

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 Staff Machine Learning Engineer in the Applied ML & Research team, you'll drive the development of machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact 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'll lead by example, contribute high-quality code, and help shape the ML roadmap through cross-functional collaboration. What the role involves Identify high-impact ML opportunities and influence stakeholders to prioritise and support these initiatives Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment Translate complex technical concepts into clear insights for both technical and non-technical stakeholders Set and guide technical direction across ML projects, ensuring alignment with technical best practices and business goals Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement What we are looking for Master's degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field 7+ years of industry experience building and deploying ML models at scale Proven ability to lead cross-functional technical initiatives and influence engineering strategy Proficiency in Python (with libraries such as PyTorch, XGBoost, and Scikit-learn) and SQL Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies A track record of shipping production-level ML products and maintaining high code quality Excellent problem-solving skills and the ability to scope and disambiguate complex ML projects into clear, achievable milestones Nice to have Familiarity with ML tooling such as MLflow, ZenML, or Metaflow Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito) Exposure to streaming data platforms such as Kafka Contributions to open-source ML projects or publications in ML conferences 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.

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. Senior Release Platform Engineer You'll be joining Super Technologies' Release Engineering team, which owns the systems that help engineers build, test, release, deploy, observe, and roll back software. This team supports multiple delivery paths across different stacks, CI/CD systems, monorepos and polyrepos, Kubernetes, and GitOps, and is working to bring more coherence to that platform. As a Release Platform Engineer , you'll help build the paved roads that make it easier for teams across the business to ship safely and quickly. What the role involves Build and evolve the platform capabilities that product engineers use to get code from commit to production Improve CI/CD pipelines, build systems, release workflows, deployment automation, quality gates, observability, and developer productivity metrics Consolidate delivery patterns across Go, Erlang, Elixir, JavaScript/TypeScript, and other stacks where it makes sense Improve the speed and reliability of feedback loops, including PR checks, builds, tests, release pipelines, and deployment signals Simplify release systems so engineers can resolve most delivery issues without needing a platform engineer in the loop Embed quality and safety into the default delivery path instead of relying on manual process Define clear contracts for platform capabilities, covering expected inputs, guarantees provided, how they're measured, and how other platform engineers can extend them Partner with product teams to identify where delivery is slow, confusing, risky, or painful, and fix the underlying system rather than the symptom Participate in operational ownership of the systems the team runs, including debugging failures, improving runbooks, reducing toil, and helping make on-call sustainable What we are looking for Strong software engineering fundamentals, with the ability to write and review good code, debug complex systems, and reason about trade-offs Hands-on experience with CI/CD, release tooling, developer platforms, infrastructure platforms, internal tooling, or similar systems Ability to work across different technology stacks and learn unfamiliar ecosystems without needing perfect context upfront Experience with containerised or cloud-native systems such as Docker, Kubernetes, GitOps, ArgoCD, Terraform, or Helm A practical platform mindset, with focus on adoption, reliability, simplicity, observability, and real impact for engineers Good operational instincts, including an understanding of failure modes, rollback paths, incident response, and monitoring Clear communication skills, with the ability to explain technical trade-offs to cross-functional teams without relying on jargon Nice to have Experience with Bazel, monorepos, remote caching, hermetic builds, or large-scale build systems Experience with Erlang, Elixir, BEAM operations, rebar3 , Mix releases, or high-availability runtime environments Experience with JavaScript/TypeScript build and release workflows, frontend deployment pipelines, or developer-facing platform UIs Familiarity with GitHub Actions, Argo Workflows, GitLab CI, Jenkins, or Buildkite Familiarity with SonarQube, static analysis, coverage tooling, test infrastructure, or flaky-test management Knowledge of DORA, SPACE, CI performance metrics, or engineering effectiveness dashboards Experience with progressive delivery, canary releases, blue/green deployments, feature flags, or automated rollback What we offer Medical / Health Insurance Open Annual Leave Employee Assistance Programme Training & Learning Development 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.

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. .We are looking for a Staff SRE — Cloud Efficiency to own cloud efficiency across our infrastructure platform — thousands of services running on several Kubernetes clusters across multiple regions. This is a hands-on engineering role with real autonomy, sitting at the intersection of our SRE, Product, and Engineering teams. The work you do here will directly shape the efficiency and cost posture of the entire platform. What the role involves Own the cloud efficiency roadmap end to end: identify the highest-leverage opportunities, coordinate with owning teams, and execute Partner with our FinOps function to turn their findings into implemented change, and feed engineering-level insight back to them Surface software architectural mismatches that cause inefficiencies that billing analysis alone cannot catch Own commitment and purchasing strategy (Savings Plans, Reserved Instances, and equivalents) in partnership with Platform and FinOps Improve the guardrails, automation, and cost attribution that enable teams to see and own their own spend Drive Kubernetes efficiency at scale: resource hygiene, bin-packing, autoscaling, and right-sizing across multiple clusters What we are looking for Strong SRE or infrastructure engineering background with deep experience operating, debugging, and reasoning about large-scale distributed systems in production Demonstrated cloud cost optimisation at scale: commitment strategy, right-sizing, spot/preemptible, autoscaling, storage tiering, and data-transfer/egress — the full surface, not just the obvious line items Architectural judgement — the ability to look at a system and identify when the infrastructure is wrong for the workload (over-provisioned, mis-chosen, or carried over from a context that no longer applies) and to propose what it should be instead Highly proficient with infrastructure as code; significant experience with AWS Familiarity with the cost and performance trade-offs of common data stores (PostgreSQL, Redis, Kafka, DynamoDB, OpenSearch) — enough to influence which should be used and why The interpersonal range to operate across teams you do not own: building rapport, reading the organisation, coordinating before making changes, and influencing without leaning on authority Comfortable with both managed services and self-hosted components Nice to have Experience with additional cloud providers (GCP, Azure) Strong automation skills in Go and/or Python Experience embedding efficiency and policy guardrails directly into CI/CD pipelines What we offer Medical / Health Insurance Open Annual Leave Employee Assistance Programme Training & Learning Development 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.

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. .We are looking for a Staff SRE — Cloud Efficiency to own cloud efficiency across our infrastructure platform — thousands of services running on several Kubernetes clusters across multiple regions. This is a hands-on engineering role with real autonomy, sitting at the intersection of our SRE, Product, and Engineering teams. The work you do here will directly shape the efficiency and cost posture of the entire platform. What the role involves Own the cloud efficiency roadmap end to end: identify the highest-leverage opportunities, coordinate with owning teams, and execute Partner with our FinOps function to turn their findings into implemented change, and feed engineering-level insight back to them Surface software architectural mismatches that cause inefficiencies that billing analysis alone cannot catch Own commitment and purchasing strategy (Savings Plans, Reserved Instances, and equivalents) in partnership with Platform and FinOps Improve the guardrails, automation, and cost attribution that enable teams to see and own their own spend Drive Kubernetes efficiency at scale: resource hygiene, bin-packing, autoscaling, and right-sizing across multiple clusters What we are looking for Strong SRE or infrastructure engineering background with deep experience operating, debugging, and reasoning about large-scale distributed systems in production Demonstrated cloud cost optimisation at scale: commitment strategy, right-sizing, spot/preemptible, autoscaling, storage tiering, and data-transfer/egress — the full surface, not just the obvious line items Architectural judgement — the ability to look at a system and identify when the infrastructure is wrong for the workload (over-provisioned, mis-chosen, or carried over from a context that no longer applies) and to propose what it should be instead Highly proficient with infrastructure as code; significant experience with AWS Familiarity with the cost and performance trade-offs of common data stores (PostgreSQL, Redis, Kafka, DynamoDB, OpenSearch) — enough to influence which should be used and why The interpersonal range to operate across teams you do not own: building rapport, reading the organisation, coordinating before making changes, and influencing without leaning on authority Comfortable with both managed services and self-hosted components Nice to have Experience with additional cloud providers (GCP, Azure) Strong automation skills in Go and/or Python Experience embedding efficiency and policy guardrails directly into CI/CD pipelines What we offer Medical / Health Insurance Open Annual Leave Employee Assistance Programme Training & Learning Development 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.