Top Tech Jobs & Startup Jobs in Dublin
DevOps Engineer role at Sporty's sites, responsible for ensuring smooth operation and setting up new infrastructure. Key responsibilities include improving infrastructure in multiple countries, reducing costs, streamlining processes, and mentoring team members. Required skills in Java, Spring Boot, TypeScript, AWS, Kubernetes, and troubleshooting.
As a BI Analyst at Sporty, you will be responsible for mining through large datasets to provide key insights that drive business decisions, creating dashboards, maintaining reporting infrastructure, and optimizing reporting processes. Requirements include 3+ years of experience in a similar role, strong SQL knowledge, familiarity with Python, ETL pipelines, A/B Testing, and Airflow. Knowledge of sports and gaming is beneficial, and hands-on experience with machine learning is a plus.
Develop highly-scalable mobile internet backends for millions of users. Work on core logic of complex systems. Utilize technologies like Spring Boot, Docker, Kubernetes, MySQL, MongoDB, Redis, and more. Participate in code reviews, support calls, and team ceremonies. Mentor team members and potentially take on-call responsibilities. Must have strong communication skills and ability to work independently.
An Android Engineer at Sporty responsible for applying the latest technologies to ensure a smooth user experience for a massive user base. Collaborate with various teams to design and deliver high-quality products on Android, build end-to-end features, mentor team members, and advocate for mobile best practices.
Develop highly-scalable mobile internet backends for millions of users, work on complex systems accessed by millions of users, participate in code reviews, mentoring, and team ceremonies, and respond to support calls for applications in production.
The Technical Risk and Odds Analyst at Sporty is responsible for analyzing betting patterns, identifying vulnerabilities, collaborating with internal teams to improve trading tools, and providing technical support for risk management processes. The role involves working with data analytics, quantitative models, and backend technology within the sportsbook industry.
As a Product Data Analyst, you will work on developing and measuring impactful experiences for customers. Responsibilities include delivering clear analysis and reporting of metrics, creating reports and dashboards, conducting ad hoc analysis, and visualizing complex findings for non-technical audiences.
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