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Almería
1Lead Devops Software Engineer
27 d’oct.share
Lead Devops Software Engineer
share · Almería, ES
Teletreball . React API Node.js MySQL MongoDB Python TSQL NoSQL Linux Angular Cloud Coumputing AWS IoT DevOps PostgreSQL Redis Terraform
We're building the future of connectivity in Africa, from the ground up.
We're a lean team relentlessly tackling every problem on a first principle basis.
We need people who want to take on responsibility, and are not intimidated by large challenges and ambition.If you enjoy the aforementioned, you're going to love working with the Share team...
About Share:Share is an ecosystem built for next-generation Internet Service Providers on a mission to connect the 600 million people in Africa who remain offline.
Like Airbnb for homes or Uber for rides, Share unlocks a new asset class, telecom infrastructure, by enabling local networks to expand connectivity and earn from it.Backed by global leading tech investors and powered by a world-class team, Share is building one of the most scalable and impactful technology companies in the world, from Africa.
- Living Twice Inc. is the U.S.-based legal entity managing the Share ecosystem.
What matters most is your ability to think holistically, from low-level device data to high-level cloud orchestration.Responsibilities:
- End-to-end platform development: Design and build scalable web and backend systems that integrate with physical network devices, telemetry, and edge data streams.
- Infrastructure automation: Lead CI/CD, infrastructure-as-code, and container orchestration across multi-cloud and hybrid environments.
- System reliability & observability: Build tools for monitoring uptime, latency, and data integrity across distributed deployments.
- Edge-to-cloud pipelines: Design robust data pipelines and synchronization frameworks between hardware telemetry and application services.
- Cross-layer collaboration: Work closely with network and hardware engineers to ensure software interfaces seamlessly with routers, access points, and local gateways.
- Security & compliance: Ensure data protection and secure network operations across geographies and jurisdictions.
- Mentorship & technical leadership: Guide junior engineers, define DevOps best practices, and enforce reliability across the stack.Qualifications:
- Backend Development: Advanced in Node.js and/or Python; experience with event-driven architectures and API design.
- Frontend Development: Skilled in React (preferred), Vue, or Angular for building operational dashboards and monitoring tools.
- Cloud & DevOps: Strong command of AWS (Lambda, EC2, ECS), Vercel, Terraform, CI/CD pipelines, and infrastructure automation.
- Networking & Systems: Familiarity with Linux networking, routing, and service orchestration at scale; experience in telecom, mesh, or IoT systems is a major plus.
- Database Design: Expert in both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB, Redis) for high-availability, real-time analytics.
- Monitoring & Logging: Experience with Prometheus, Grafana, Datadog, or similar tools.
- Security & Compliance: Knowledge of data security, identity management, and encryption standards.
- (Nice to Have) Blockchain/DePIN: Exposure to tokenized networks, wallets, or smart contract integrations.What we offer:A chance to work at the cutting edge of telecommunciations, Web3 technology and real-world impact.An opportunity to influence the development of a groundbreaking platform that bridges the gap between blockchain and physical infrastructure.A flexible & remote working environment with the option to travel.Equity ownership package.Potential to grow in an organization backed by top advisors and investors in the impact & cryptocurrency industry.Private benefits disclosed at interview.If interested in shaping the future of a world-changing organization, share your portfolio and resume with ******
Lead Devops Software Engineer
26 d’oct.share
Lead Devops Software Engineer
share · Almería, ES
Teletreball . React API Node.js MySQL MongoDB Python TSQL NoSQL Linux Angular Cloud Coumputing AWS IoT DevOps PostgreSQL Redis Terraform
We're building the future of connectivity in Africa, from the ground up.
We're a lean team relentlessly tackling every problem on a first principle basis.
We need people who want to take on responsibility, and are not intimidated by large challenges and ambition.
If you enjoy the aforementioned, you're going to love working with the Share team...
About Share
Share is an ecosystem built for next-generation Internet Service Providers on a mission to connect the 600 million people in Africa who remain offline.
Like Airbnb for homes or Uber for rides, Share unlocks a new asset class, telecom infrastructure, by enabling local networks to expand connectivity and earn from it.
Backed by global leading tech investors and powered by a world-class team, Share is building one of the most scalable and impactful technology companies in the world, from Africa.
- Living Twice Inc. is the U.S.-based legal entity managing the Share ecosystem.
What We're Looking For
We're looking for a Lead DevOps Software Engineer to bridge full-stack software development with infrastructure-level systems engineering.
You'll architect and maintain the software–hardware interface that underpins our distributed connectivity network, ranging from backend systems and APIs to network telemetry, monitoring, and automation pipelines that operate at the edge.
Experience in telecommunications, networking, or IoT systems is a plus, but not required.
What matters most is your ability to think holistically, from low-level device data to high-level cloud orchestration.
Responsibilities
- End-to-end platform development: Design and build scalable web and backend systems that integrate with physical network devices, telemetry, and edge data streams.
- Infrastructure automation: Lead CI/CD, infrastructure-as-code, and container orchestration across multi-cloud and hybrid environments.
- System reliability & observability: Build tools for monitoring uptime, latency, and data integrity across distributed deployments.
- Edge-to-cloud pipelines: Design robust data pipelines and synchronization frameworks between hardware telemetry and application services.
- Cross-layer collaboration: Work closely with network and hardware engineers to ensure software interfaces seamlessly with routers, access points, and local gateways.
- Security & compliance: Ensure data protection and secure network operations across geographies and jurisdictions.
-  Mentorship & technical leadership: Guide junior engineers, define DevOps best practices, and enforce reliability across the stack.
- Backend Development: Advanced in Node.js and/or Python; experience with event-driven architectures and API design.
- Frontend Development: Skilled in React (preferred), Vue, or Angular for building operational dashboards and monitoring tools.
- Cloud & DevOps: Strong command of AWS (Lambda, EC2, ECS), Vercel, Terraform, CI/CD pipelines, and infrastructure automation.
- Networking & Systems: Familiarity with Linux networking, routing, and service orchestration at scale; experience in telecom, mesh, or IoT systems is a major plus.
- Database Design: Expert in both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB, Redis) for high-availability, real-time analytics.
- Monitoring & Logging: Experience with Prometheus, Grafana, Datadog, or similar tools.
- Security & Compliance: Knowledge of data security, identity management, and encryption standards.
-  (Nice to Have) Blockchain/DePIN: Exposure to tokenized networks, wallets, or smart contract integrations.
A chance to work at the cutting edge of telecommunciations, Web3 technology and real-world impact.
An opportunity to influence the development of a groundbreaking platform that bridges the gap between blockchain and physical infrastructure.
A flexible & remote working environment with the option to travel.
Equity ownership package.
Potential to grow in an organization backed by top advisors and investors in the impact & cryptocurrency industry.
Private benefits disclosed at interview.
If interested in shaping the future of a world-changing organization, share your portfolio and resume with ******
LLM Engineer (h/m)
28 de jul.Michael Page
Rioja, ES
LLM Engineer (h/m)
Michael Page · Rioja, ES
Python
- Posición con creciemiento y desarollo profesional
- Contacto director con cliente
¿Dónde vas a trabajar?
Compañía tecnológica que ofrece soluciones innovadoras TIC. Realizan un de software avanzado con alto contenido técnico y utilizan de técnicas de Data Mining.
Descripción
El candidato seleccionado tendrá las siguientes responsablidades:
- Diseñar, entrenar y ajustar modelos LLM, incluyendo la optimización del rendimiento.
- Desarrollar, integrar y evaluar algoritmos de NLP, incorporando librerías y frameworks específicos en flujos de trabajo de procesamiento de texto.
- Definir y emplear métricas de evaluación y benchmarks para garantizar la calidad, robustez y eficiencia de los LLMs.
- Investigar y adoptar nuevas tecnologías, frameworks y paradigmas de computación en entornos dinámicos y de rápida evolución.
- Colaborar con equipos multidisciplinares (científicos de datos, ingenieros de software, analistas) y con stakeholders no técnicos, comunicando de forma clara y efectiva los resultados y el impacto de las soluciones.
¿A quién buscamos (H/M/D)?
Requisitos:
- Grado, Máster o Doctorado en Aprendizaje Automático, Inteligencia Artificial, Informática, Ciencia de Datos o campos relacionados.
- Más de 4 años de experiencia práctica con modelos de aprendizaje profundo y experiencia en la industria.
- Sólida formación y experiencia práctica con diferentes tecnologías de ML, especialmente procesamiento de lenguaje natural y grandes modelos de lenguaje (LLMs).
- Experiencia probada con alguna de las siguientes tecnologías, Yolo, Llama, Claude, Mistral, o Falcon es una gran ventaja.
- Excelentes habilidades de resolución de problemas, depuración, análisis de rendimiento, diseño de pruebas y documentación.
- Conocimiento profundo de los fundamentos de las arquitecturas de GPU.
- Excelentes habilidades de programación en Python y experiencia con bibliotecas relevantes (PyTorch, HuggingFace, etc.).
- Excelentes habilidades de comunicación escrita y verbal, con la capacidad de trabajar en colaboración en un entorno de equipo de ritmo rápido y comunicar ideas complejas de manera efectiva.
- Publicaciones previas de investigación en aprendizaje profundo es una ventaja.
- Dominio del inglés.
Cualificaciones preferidas:
- Máster o Doctorado en Inteligencia Artificial, Ciencias de la Computación, Ciencias de Datos o campos relacionados Experiencia en investigación en el campo de LLM.
- Experiencia en series temporales de aprendizaje automático no supervisado.
- Experiencia en el entrenamiento y despliegue de modelos de aprendizaje profundo en la Nube.
- Capacidad para trabajar de forma independiente
¿Cuáles son tus beneficios?
 Oportunidades de carrera y desarrollo profesional.
Modalidad presencial de trabajo.