Hardware/Firmware Developer

Senior Backend & Infrastructure Engineer Sobre Nosotros Somos Libra Seguros, una compañía en crecimiento rápido con la misión de reinventar cómo la tecnología y los seguros se integran. Estamos construyendo productos que escalan, que se mueven rápido y que generan un impacto real en nuestros clientes. Para lograrlo, necesitamos bases técnicas sólidas — y ahí es donde entrás vos! El Rol Estamos empezando desde cero y buscamos un ingeniero fundacional que sea dueño tanto de nuestro desarrollo backend como de nuestra infraestructura y plataforma. No solo vas a construir, también vas a decidir cómo lo hacemos: qué lenguajes, frameworks y herramientas vamos a usar, y cómo vamos a escalar todo a medida que la empresa crece.  Este es un rol de alto impacto: tus decisiones van a marcar el rumbo tecnológico de la compañía por años. Lo que vas a hacer Diseñar y desarrollar nuestros servicios y APIs backend desde cero. Definir nuestro stack tecnológico (lenguajes, frameworks, herramientas de infraestructura). Configurar y administrar nuestra infraestructura en la nube (de Dev a Producción). Implementar pipelines de CI/CD y flujos modernos de desarrollo. Establecer monitorización, logging y alertas para garantizar confiabilidad. Crear estándares de seguridad y buenas prácticas desde el día uno. Ser la referencia principal en backend e infraestructura mientras escalamos. Lo que buscamos +5 años de experiencia en ingeniería backend y/o infraestructura. Sólidas habilidades de programación y diseño de sistemas backend. Experiencia práctica con al menos un proveedor de nube (AWS, Azure, GCP). Conocimiento en automatización de infraestructura (Terraform, Ansible, etc.). Experiencia implementando CI/CD y herramientas de observabilidad. Mentalidad de builder: cómodo definiendo herramientas y procesos desde cero. Alto sentido de ownership y ganas de moverse rápido en un entorno dinámico. Por qué sumarte Rol fundacional → tus decisiones van a definir nuestro stack y futuro tecnológico. Alto impacto → vas a construir las bases técnicas de una compañía en expansión. Cultura startup → velocidad, iteración, innovación y autonomía. Beneficios Cultura flexible y de confianza: trabajo híbrido/remoto según necesidad. Equipos pequeños → alta autonomía y visibilidad de tu trabajo. Crecimiento acelerado: vas a escalar junto a la compañía. Horario flexible orientado a resultados, no a control de horas. Ambiente de startup: dinámico, innovador y sin burocracia. 👉 Si te motiva construir desde cero y ser dueño tanto del backend como de la infraestructura, ¡queremos conocerte!

Position Overview We are seeking an exceptional Chief Technology Officer to lead our Large Language Model initiatives and drive technological innovation in AI/ML. This executive role requires a visionary leader who can bridge cutting-edge research with scalable production systems while building and managing world-class engineering teams. Key Responsibilities Strategic Leadership Define and execute the technical vision for LLM development, deployment, and scaling Drive strategic partnerships with research institutions, cloud providers, and AI/ML vendors Lead technology roadmap planning aligned with business objectives and market opportunities Represent the company at industry conferences, research symposiums, and with key stakeholders Technical Excellence Oversee architecture and development of large-scale LLM training and inference infrastructure Guide research initiatives in model optimization, efficiency improvements, and novel architectures Ensure robust MLOps practices, including model versioning, monitoring, and deployment pipelines Drive innovation in areas such as multi-modal models, retrieval-augmented generation, and agent frameworks Organizational Leadership Build, mentor, and scale high-performing engineering and research teams (50-200+ people) Establish engineering culture focused on excellence, innovation, and rapid iteration Collaborate closely with CEO, CPO, and other executives on product strategy and go-to-market Drive talent acquisition strategy for specialized AI/ML roles Operational Management Oversee technical budgets, infrastructure costs, and resource allocation Ensure security, compliance, and ethical AI practices across all LLM initiatives Manage vendor relationships and technology partnerships Drive cost optimization for compute-intensive workloads Required Qualifications Education & Experience PhD in Computer Science, Machine Learning, AI, or related field (or equivalent industry experience) 12+ years of technical leadership experience, with 5+ years in executive roles 5+ years of hands-on experience with large language models, transformers, or related architectures Proven track record of scaling engineering organizations from startup to enterprise level Technical Expertise Deep understanding of LLM architectures, training methodologies, and optimization techniques Experience with distributed training frameworks such as PyTorch Strong background in cloud infrastructure, particularly GPU/TPU clusters and ML platforms Knowledge of model compression, quantization, and inference optimization Understanding of AI safety, alignment, and responsible AI practices Leadership Skills Demonstrated ability to recruit, develop, and retain top-tier technical talent Experience managing complex, multi-disciplinary projects with competing priorities Strong communication skills with ability to explain complex technical concepts to diverse audiences Track record of successful collaboration with product, business, and research teams Preferred Qualifications Startup experience or research experience at leading AI/ML companies (OpenAI, Anthropic, Google DeepMind, etc.) Published research in top-tier ML conferences such us NeurIPS, ICLML, ICLR, etc. Experience with foundation model commercialization and API products Experience with open source models, RAG (Retrieval-Augmented Generation), and fine-tuning techniques Cloud experience with AWS or Google Cloud Platform Background in adjacent areas such as computer vision, robotics, or speech recognition MBA or equivalent business education What We Offer Competitive executive compensation package including equity Opportunity to shape the future of AI technology at scale Access to cutting-edge compute resources and research partnerships Collaborative work environment with world-class researchers and engineers Comprehensive benefits including health, dental, vision, and retirement plans Flexible work arrangements and professional development budget Reporting Structure This role reports directly to the CEO and will be a member of the executive leadership team. The CRO will manage multiple VP-level leaders across Engineering, Research, Infrastructure, and Security. Location San Francisco, CA (HQ) with flexibility for hybrid/remote work arrangements. Regular travel required for conferences, team meetings, and partnership activities.

Location: Remote Employment Type: Full-time Position Experience Level: Senior (5+) About Us Next generation of noninvasive cardiac diagnostics RPM SaaS platforms for heart health, using AI, digital twins and wearables. Position Overview We are seeking a senior VoIP and SIP systems engineer with advanced expertise in OpenSIPS or Kamailio SBC infrastructure. This role requires hands-on experience designing, implementing, and optimizing high-performance SIP environments. The candidate must have a deep knowledge of SIP signaling, media handling, and complex routing, combined with strong programming skills to develop or customize SBC modules. Key Responsibilities Design, deploy, and maintain SBC solutions using OpenSIPS or Kamailio for large-scale, latency-sensitive environments. Design and implement complex call routing logic across SIP stacks, including interworking with FreeSWITCH and Asterisk. Develop and modify OpenSIPS or Kamailio modules in C, with the ability to manipulate SIP headers and handle advanced protocol logic. Build and maintain real-time voice and modem-over-IP services optimized for low latency and high reliability. Configure and secure Linux-based systems, including IP tables, firewall rules, NAT, and network isolation. Deploy and manage containerized environments using LXC and LXD. Troubleshoot advanced SIP, RTP, NAT traversal, and interconnection issues across multi-vendor environments. Collaborate on architecture decisions involving scaling, HA, and multi-data-center SIP deployments. Required Skills & Experience Expert-level proficiency with OpenSIPS or Kamailio SBC platforms. Advanced understanding of SIP signaling, media handling, NAT traversal, and protocol interoperability. Strong experience with FreeSWITCH and Asterisk from both SIP and routing perspectives. Proficiency in C for SIP module development; ability to modify source code to meet specific requirements. Proficiency in Golang. Expert Linux administration skills, including performance tuning, networking, and security. Hands-on experience with LXC/LXD containerization. Proven ability to deliver carrier-grade, high-availability VoIP services. Strong problem-solving skills for diagnosing and resolving complex SIP and network issues. Desirable Skills Experience with lawful intercept, B2BUA media engines, or real-time streaming integration is a plus.