Top Tech Jobs & Startup Jobs

Develops test plans and cases from functional requirements, executes preparation, integration, and factory acceptance testing, and tracks defects through resolution. Requires a degree in a technical field, 0–2 years of software testing experience, knowledge of operating systems, networking, databases, and mobile technologies, plus familiarity with Jira, Zephyr, or similar testing tools. Automation scripting and video lottery terminal testing are advantageous.

Lead end-to-end Early Life CRM campaigns across onboarding, welcome journeys, cross-sell, and retention. Use segmentation, customer insights, A/B testing, and performance reporting to improve engagement, ROI, and long-term value. Coordinate with Marketing, CRM, Activation, MarTech, Insights, and customer teams while ensuring responsible gambling compliance. Own campaign strategy, delivery, optimization, promotional value, stakeholder communication, and process improvements, including AI and automation initiatives. Mentor junior colleagues and champion Early Life activity across UK ventures.

Manages enterprise technology projects from planning through operational transition, coordinating software development, infrastructure, systems integration, testing, releases, and production activities. Develops project plans, tracks milestones and dependencies, manages risks and issues, coordinates distributed teams and vendors, and communicates status to customers, management, and senior stakeholders. The role requires strong technical delivery knowledge, stakeholder management, and experience with Agile, Waterfall, or hybrid methodologies.

Conduct customer account reviews for AML, responsible gambling, and fraud alerts; document findings; escalate risks to relevant stakeholders; approve manual withdrawals; assess deposit limits; manage account reopening requests; and support second-line customer service queries. The role requires accurate recordkeeping, confidentiality, analytical thinking, Spanish and English communication, Microsoft Office proficiency, and familiarity with IT systems. Previous iGaming, AML, responsible gambling, and fraud prevention experience is desirable.

Lead a new AI Engineering function spanning research and production delivery. Define technical strategy, lead engineers, establish production standards, and transition AI prototypes into scalable systems. Oversee personalization, recommendations, search, ranking, agents, and content generation using AWS and TypeScript. Partner with product, data, and engineering leadership while ensuring reliability, observability, performance, and compliance within a regulated real-money gaming environment.

Build and operate production AI systems, including personalization, recommendation, search, ranking, and LLM-powered applications. Convert R&D prototypes into scalable, observable, tested, and maintainable cloud-native services. Develop real-time systems on AWS using TypeScript and Python, implement CI/CD and infrastructure as code, monitor performance, and evaluate models through experimentation. Collaborate with AI researchers, engineers, product managers, data analysts, and Staff Engineers to deliver reliable, low-latency features.

Supports broad HR operations including payroll processing, HRIS reporting, onboarding, benefits and retirement plan administration, employee data management, leave and workers’ compensation administration, performance management, training, policy development, compliance, and employee communications. The role also assists with recruiting, employee lifecycle transactions, workplace safety programs, and HR projects while serving as a liaison between employees and benefit providers.

Leads a software engineering team within the Sports domain, balancing hands-on development with people leadership, coaching, mentoring, and delivery ownership. Partners with the Product Owner across the SDLC, promotes engineering excellence and best practices, removes distractions, resolves issues, supports cross-team collaboration, and drives continuous improvement. The role ideally requires recent backend development or QA experience with Java, Spring Boot, AWS, GraphQL, Kafka, Docker, and Kubernetes.

Operate and improve production databases on AWS, including RDS, Aurora, and EC2-hosted systems. Monitor performance, troubleshoot incidents, manage backups and disaster recovery, enforce security controls, and coordinate upgrades and patching. Automate provisioning and routine DBA tasks with Terraform or CloudFormation. The role also maintains documentation, supports schema and query optimization, and collaborates with application, DevOps, and platform teams on reliability and operational excellence.

Own platform deployment and day-to-day operations, ensuring stability, performance, and continuous improvement. Provide technical support, mentor junior colleagues, monitor and optimize platform performance, participate in support rotations and on-call escalations, and deliver roadmap tasks. The role requires experience with CI/CD, scripting, Linux, AWS, Kubernetes, Helm, ArgoCD, Terraform, monitoring tools, and platform services such as Redis and Kafka.