Jobs at Sporty Group

Own full-cycle technical recruitment for engineering and product roles: source senior talent, screen for technical depth and problem-solving, run structured interviews, manage ATS pipelines, report hiring metrics, and partner with engineering/product leaders to raise hiring standards.

Lead analysis and improvement of conversational AI systems by designing prompt strategies, optimizing RAG and retrieval, evaluating LLMs, defining AI quality metrics, running experiments, and collaborating with engineers to deploy production-scale improvements.

Design, build, and productionize AI features including conversational and voice AI. Integrate LLMs and AI APIs, implement RAG and agent workflows, troubleshoot production issues, optimize performance and costs, and collaborate with product and AI science teams to deliver scalable, reliable AI systems.

Design, build and maintain BI platform: develop semantic data models, define business metrics and KPIs, create Metabase dashboards, optimize SQL for analytics, validate data accuracy, investigate discrepancies, and drive adoption of self-service reporting while collaborating with stakeholders and Data Engineers.

Design, build and maintain Zero-ETL scalable data pipelines and Redshift data models. Develop and manage Airflow workflows, integrate multiple data sources, ensure data quality and availability, optimize queries and warehouse performance, monitor and resolve platform issues, document pipelines and collaborate with analysts and stakeholders on architecture and analytics needs.

Lead a hybrid QA team to own testing lifecycle from requirements to release. Design and run manual and automated web, mobile, and API tests, develop test frameworks, improve CI pipelines, mentor engineers, track defects, and ensure high-quality releases.

Define and own product strategy and roadmap, use user research and data to prioritize a backlog, collaborate with engineering and design to deliver features, ensure business readiness and go-to-market alignment, track product metrics, and mentor team members.

Lead analytics to improve player experience, engagement, retention, and monetization. Analyze player lifecycle, run cohort and funnel analyses, design and evaluate A/B tests, build dashboards, define product metrics, investigate KPI changes, and partner with product, marketing, engineering, and data teams to deliver data-driven recommendations and improve data quality.

Design, develop, and maintain an in-house Python automation framework and tooling to enable QA workflows. Build CI/CD integrations, containerized environments, refactor code for quality, troubleshoot issues, and collaborate with distributed QA and cross-functional teams to drive automation improvements.

Manage and improve cloud infrastructure and Kubernetes platforms (EKS) using GitOps. Own on-call rotations, incident response, SLIs/SLOs, observability stacks, alerting, and automation. Enable rapid multi-country deployments, collaborate with security audits, and mentor junior engineers.

Design, develop, and maintain highly scalable microservices and backends (Java/Spring) for millions of users. Collaborate with product owners, perform code reviews, respond to production incidents, mentor junior engineers, participate in team ceremonies, and potentially share on-call duties.

Build and productionize ML systems for personalization, search, and recommendations. Apply statistical and ML models using Python and SQL, collaborate with stakeholders, and measure business impact across cloud environments.

Own and improve large-scale, highly available database architectures across regions. Automate operations with Go/Python, handle performance tuning, capacity planning, backup/recovery, security audits, monitoring (SLO-based alerting), schema changes, data migrations, and collaborate with dev teams on optimization and troubleshooting.

Senior SDET responsible for building scalable test automation frameworks, improving test reliability, integrating testing into CI/CD, defining quality standards, coaching teams, and driving adoption of testing best practices across distributed systems.

Lead and own global payments operations, metrics, fraud prevention, risk and compliance. Collaborate with product and engineering, recruit and manage distributed payments teams, investigate fraud, optimise acceptance and conversion, and act as primary partner with payment networks to resolve production issues.

Lead cross-team software projects: build plans, translate product goals into clear deliverables, run ceremonies, manage tickets and resources, coordinate external partners, track status, drive production issue resolution, and improve team processes and quality.

Maintain and improve cloud infrastructure across multiple countries, manage Kubernetes and CI/CD, optimize performance and costs, handle monitoring and security audits, lead deployments, and mentor junior team members.

Design and build highly scalable microservice backends for millions of users, participate in code reviews and team ceremonies, support production incidents, and mentor junior engineers.

Lead GTM and GA4 implementation, audits, and maintenance across web and mobile. Configure tracking for campaigns and third-party ad platforms, debug data layers and tags, ensure privacy compliance (GDPR/CCPA), document tracking schemas, and train stakeholders. Provide campaign measurement, insights, and ongoing optimization to support Marketing, Product, and Engineering teams.

Lead regional communications and growth partnerships across Africa and LATAM. Own WhatsApp, SMS, and email channels, source and manage vendors, negotiate marketing partnerships, execute and track campaigns (including OOH and affiliate activations), run A/B tests, localize creatives, and report ROI to leadership to drive acquisition, engagement, and retention.