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

Role Description As part of the Platform Engineering department, the Traffic team is crafting, building, and improving the multi-cloud platform at scale for Elastic Cloud Hosted and Serverless. We grow and mature our distributed network services and solutions for multiple cloud service provider platforms. We are built on Kubernetes, Go/Scala, and custom orchestration architectures. In your daily life with us, you will participate in: - Coding and innovating technical designs - Crafting solutions and improving resilience - Prioritizing security, bug fixes, and features - Debugging Azure Networking for Elastic Cloud Serverless Qualifications - 10+ years in Software Engineering with product success in delivering Cloud network solutions - Experience in public cloud, Go, and managed Kubernetes services is advantageous - Success and lessons from striving for 'progress not perfection' in Platform reliability - Passion for developing solutions that involve inclusive communication methods - Examples of working in distributed teams or working remotely is desirable Requirements - Designed and built a SaaS product in a public cloud ideally using Infrastructure-as-Code tooling such as Crossplane or Terraform - Built Kubernetes-at-scale infrastructure across multiple cloud providers - Written product features or functions in Golang or other programming languages - Worked with containerized services (such as Docker) - Proven results in leading and improving cross-team engineering initiatives - Experience in system administration with professional skills in Linux on distributed systems at scale - Diagnosed or designed, implemented, and created solutions with the Elastic Stack - Experienced in a self-organizing and sharing in a globally distributed team environment - Strengthened team members by uplifting others with coaching and mentoring Benefits - Competitive pay based on the work you do here and not your previous salary - Health coverage for you and your family in many locations - Ability to craft your calendar with flexible locations and schedules for many roles - Generous number of vacation days each year - We match up to $2000 (or local currency equivalent) for financial donations and service - Up to 40 hours each year to use toward volunteer projects you love - Minimum of 16 weeks of parental leave

Role Description We are looking for a Platform Engineer to own and improve the build, deployment, observability, security, and operational tooling around our cloud-native data protection and disaster recovery solution for Kubernetes. - Maintain existing platform services - Improve automation - Support CI/CD pipelines - Assist with Kubernetes-based deployments - Ensure that staging and production environments remain observable, secure, and operationally ready Qualifications - Hands-on experience with Kubernetes operations, including basic workload management, pod lifecycle, troubleshooting, and logs - Experience with CI/CD systems and pipelines, preferably Jenkins - Scripting experience, preferably in Python - Experience with cloud platforms such as AWS, Azure, or Google Kubernetes Engine - Additional experience in any of the following areas would be beneficial: - Concourse CI - Automated test execution through CI/CD pipelines - Prometheus and Grafana monitoring, alerting, and dashboard maintenance - Security scanning in build pipelines, including static analysis and container image scanning - Helm chart development and Kubernetes packaging - Marketplace integrations such as OpenShift Operator, Rancher Marketplace, CNAB, or similar - Terraform provider development or maintenance - Cloud operations dashboards, usage reporting, and operational metrics - Managing access keys, certificates, rotation schedules, and related security controls - Handling operational processes such as user data deletion requests - Python runtime upgrades and dependency management - MongoDB operations, preferably with Percona Operator and encryption - Kubernetes self-hosted deployment models - Log collection and analysis platforms - Working with staging and production environments - Creating technical reports based on customer usage and storage consumption data Benefits - Full time job - All necessary equipment such as laptop, additional monitor, and accessories - Individual career path and professional development initiatives - Continuous performance feedback and end-year performance review - Remote work and flexible work hours (we're fine with breaks in the middle of the day) - Set of non-salary benefits (Medicover, MultiSport, life insurance, referral program)