Tech.

? Senior Cybersecurity Engineer | Dubai, UAE I’m hiring for an exciting Senior Cybersecurity Engineer opportunity with a growing PCI DSS Level 1 payment-orchestration platform based in Dubai. This is a great opportunity for a senior security professional who wants to take real ownership, work in a fast-moving fintech environment, and help strengthen the security function across payment platforms, infrastructure, endpoint, email, network and web-facing systems. You’ll be involved in incident response, detection engineering, MDR/SOC escalations, SIEM/XDR, EDR, WAF, DDoS, email security, DLP, SASE/VPN and PCI DSS security controls. What’s on offer: ? Competitive salary package ? Medical insurance from day 1 ? Training and development support ? Modern office environment with daily snacks, drinks and refreshments ? Multinational and collaborative team culture ? Regular team-building events and company activities ? Employee recognition programme with monthly perks ? A chance to join a growing fintech/payment business in Dubai What we’re looking for: ? Currently based in the UAE ? Comfortable working onsite from the Dubai office ? 7+ years of hands-on security operations / cybersecurity experience ? Fluent English communication skills ? Experience using AI tools to support day-to-day work ? Strong experience across incident response, SIEM/XDR, EDR, MDR/SOC, WAF, DDoS, VPN/SASE, email security or DLP ? PCI DSS, fintech, payments or payment-gateway experience would be a strong plus Please get in touch if this sounds like you, or feel free to share with someone in your network who could be a good fit.

Senior Platform Engineer (DevOps/SRE) – Madrid   Hybrid in Madrid (3 days in the office, 2 days remote) - The office is near Atocha train station. Salary: €65 to €70k gross/year + 10% bonus   We are looking for a Senior Platform Engineer to join an international engineering organization in the online gaming and betting industry. You will play a key role in building and operating the core platform that supports large-scale, real-time player account systems across multiple European markets. This is a hands-on senior role where you’ll help shape platform architecture, reliability, and automation practices across engineering teams. What we’re looking for 5+ years in DevOps, platform engineering, SRE or infrastructure roles +3 years of experience with Kubernetes Experience with Kafka/RabbitMQ and relational databases in production Experience with CI/CD design and automation-first delivery models Background in observability stacks (Prometheus, Grafana, ELK, or similar) Strong knowledge of cloud infrastructure, security, and IaC Familiarity with TLS, reverse proxies, CDN concepts, and secure system design Hands-on mindset with modern engineering tools, including AI-assisted development Fluent in English Lead experience is a big plus   What you’ll work on Design and maintain CI/CD pipelines with strong automated quality gates Own and improve observability (metrics, logs, dashboards, tracing) Operate Kubernetes-based production environments at scale Manage infrastructure using IaC tools like Terraform or Pulumi Support production databases (RDBMS), messaging systems (Kafka/RabbitMQ), and identity services (Keycloak or similar) Implement and enforce security best practices (secrets, encryption, RBAC, network policies) Build and improve distributed systems reliability and performance Collaborate with engineering teams on deployment strategies and production readiness Automate operational processes and reduce manual work wherever possible Work with modern AI-assisted tools to improve delivery speed and engineering efficiency Hybrid role based in Madrid, part of a growing international tech hub.

Overview An opportunity to join a fast-growing, fully remote market maker focused on prediction markets. The business combines strong financial backing and industry expertise with the agility of a startup. The team is lean, highly technical, and focused on building high-performance trading systems through pragmatic engineering and rapid iteration. This is an opportunity to play a key role in shaping trading strategy, with direct ownership of performance, data, and execution. The Role This is a hands-on, live trading role overseeing highly automated strategies within sports prediction markets. You will be responsible for monitoring and improving real-time trading performance, identifying edge, and safely deploying strategy enhancements into production environments. The position is directly tied to live US sports markets and requires flexibility, including evenings and weekends, as part of a shared team rotation. Key Responsibilities Oversee live automated trading: Monitor real-time performance, exposure, and risk across markets during live sporting events, adjusting algorithmic parameters where required and intervening when necessary Improve trading strategy: Research, prototype, and validate pricing improvements, signal enhancements, and risk logic Own strategy rollout: Deploy updates through controlled methods, measure impact, and iterate based on performance Analyse trading data: Build and maintain reporting to track P&L attribution, fill quality, slippage, exposure, and model performance Backtesting & simulation: Validate all changes rigorously before applying to live markets Collaborate with engineering: Work closely with developers to translate strategy into production systems and improve trading infrastructure Contribute to product design: Apply trader insight to how markets are structured, priced, and settled Requirements Experience in sports betting, financial trading, or prediction markets Strong understanding of probability, expected value, and market dynamics Ability to work with data using Python and/or SQL Comfortable contributing to or working alongside production trading systems Quantitative background in Mathematics, Statistics, Computer Science, Engineering, Economics, or similar Experience analysing and interpreting large datasets Willingness to work flexible hours aligned with US sporting schedules (including evenings and weekends) Strong ownership mindset with the ability to operate in a fast-paced startup environment Curiosity and comfort working with AI tools to enhance research and analysis Domain Experience (One or More) Sportsbook or betting operator (trading, pricing, risk, or trading operations) Personal betting track record with demonstrable edge Financial markets or systematic trading background Nice to Have Experience with prediction markets or exchange-based products Sports modelling (e.g. in-play, player props, correlated markets) Machine learning applied to trading or pricing Experience building data pipelines, dashboards, or reporting tools Exposure to C#/.NET or similar trading system environments Experience operating automated strategies in production Why Apply? Shape trading strategy from an early stage Direct ownership of performance and P&L Work with a small, high-performing and technical team Backed by a leading iGaming organisation Fully remote with flexibility across US time zones Competitive compensation with equity upside