• Design, build, maintain and primarily operate scalable streaming and batch data pipelines, with a strong focus on maintenance, monitoring, troubleshooting and continuous improvement of existing pipelines. • Work with AWS services, including Redshift, EMR and ECS, to support data processing and analytics workloads. • Develop and maintain data workflows using Python and SQL. • Orchestrate and monitor pipelines using Apache Airflow. • Build and deploy containerized applications using Docker and Kubernetes. • Break down high-level system designs into well-defined, deliverable tasks with realistic estimates. • Collaborate with cross-functional teams in a fast-paced and distributed environment across the US and Europe. • Drive automation, observability and monitoring to improve reliability, performance and operational efficiency. • Support knowledge transfer and ownership handover as part of the planned transition to the consuming team.

• Help us use technology to make a big green dent in the universe! • As the Lead, you will manage people across the US and EU, as well as coordinate with your APAC counterpart, delivery management, and global Platform leadership to ensure a smooth process for just-in-time Kraken app delivery, champion automation, and solve unique client requirements to ensure networking, regulatory, data safety, and other needs are met. • Work closely with the APAC Solutions lead, Director, Heads of Platform Engineering and Client Engineering to define strategic objectives and team direction • Deliver technical improvements such as small features and bug fixes • Provide production support for highly-available, large-scale internet-facing distributed systems

Role Description We're recruiting an AI Infrastructure/ML Platform Engineer (m/f) to strengthen our team, with the possibility of remote work. Qualifications - 5+ years of experience in Infrastructure Engineering, including AI/ML production environments - Strong experience with Kubernetes, GPU workloads, and AI inference optimization - Hands-on experience with LLMs, Computer Vision, and real-time AI systems - Knowledge of Terraform, GitOps, Linux, networking, and cloud platforms (AWS, Azure or GCP) - Experience with monitoring, observability, and scalable AI infrastructure - Experience with vLLM, NVIDIA Triton, TensorRT, Kafka, Istio, Prometheus/Grafana, and ELK Stack (valued) - Knowledge of WebRTC, voice AI, Python or Go (valued) - Familiarity with Agile/SCRUM methodologies (valued) - Strong problem-solving skills, ownership mindset, and fluent English Benefits - Flexibility in work regime (remote) - Regular monitoring plan - Participation in projects with innovative technology and international dimension - Remuneration compatible with the experience demonstrated, as well as health insurance and life insurance - Birthday as a day off and Recommendation Policy Company Description Movilges IT Consulting has over 30 years of experience in the Spanish market, specializing in Logistics, Mobility, and IT, offering Consulting, Application Development, and System Maintenance services. Just like the technological universe, in constant evolution, Movilges IT Consulting also intends to evolve, increasing its presence in Portugal, providing the best services to partners and clients, and offering the best conditions, benefits, and professional growth opportunities to all its team. - In Portugal, we're present in different sectors, such as technology, health, public administration, energy, services, banking, and insurance By sending us your application, you authorize Movilges IT Consulting to process your personal data such as name, e-mail address, telephone number, and information regarding your academic and professional experience, as contained in your CV. The processing of this data serves only the company's legitimate purposes, i.e., for the recruitment processes of qualified professionals for our team. For any questions related to your personal data, you can contact us at portugal@movilges.com.

• Own and operate MLB’s edge security platforms (WAF, bot mitigation, CDN), including configuration, tuning, and lifecycle management • Maintain secure, resilient environments using infrastructure-as-code and controlled deployment practices • Continuously refine rules, policies, and thresholds to improve protection and prevent drift • Participate in an on-call rotation for high-severity edge security incidents • Design and manage defenses against automated abuse (e.g., credential stuffing, scraping, ticketing bots, payment fraud) • Analyze telemetry to identify threats, false positives, and attacker behavior • Partner with fraud and payment teams to strengthen early detection and mitigation • Optimize security controls to protect uptime and user experience during high-traffic events • Serve as a subject matter expert during incidents, ensuring mitigations meet latency, conversion, and availability targets • Build and maintain logging, monitoring, dashboards, and alerting across edge and application layers • Integrate telemetry with SIEM tools to improve detection, triage, and auditability. • Track and report on key risk and performance metrics • Drive automation for detection, response, and change management while maintaining human oversight • Establish strong deployment controls, audit trails, and support compliance (e.g., PCI, SOC 2) • Collaborate cross-functionally to enhance edge security strategy, tooling, and execution