Senior Devops / Infrastructure & Ai Llm Systems Engineer (Hybrid/Barcelona)

Base Pay Range$70,/yr - $95,/yrAbout Yuma AIYuma is building a next?generation orchestration platform that deploys autonomous AI agents dedicated to customer support in e-commerce.We already support 150+ paying merchants and help them automate up to 80% of their customer tickets, freeing human agents for higher?value conversations.Founded by Guillaume Luccisano at the end of ****, Yuma is a leader in the AI Support Automation space with 10+ consecutive months of double?digit growth.Our 25?person team is based in Paris, Barcelona and Boston and has grown revenue 5x in ****.We aim to repeat this trajectory in ****.The scale?up phase is fully underway.About The RoleThis is a foundational role.You will be our first dedicated Dev Ops/Infrastructure Engineer and will take full ownership of everything related to cloud infrastructure, deployments, reliability, and scaling.Our engineering team is made up of 7 people, operates with intensity, and moves fast.Rapid iteration is one of our biggest advantages.Over the past two years, we've built a tremendous amount, but the surface area ahead of us is even larger as we scale usage, models, and automation.You will play a key role in keeping our platform fast, reliable, and ahead of the curve.This role goes beyond Dev Ops.You will also contribute at the LLM layer: running evaluations, experimenting with models, improving latency, optimizing costs, and helping shape how our AI systems operate at scale.What You Will OwnAll cloud infrastructure across AWS, GCP, and Azure.Kubernetes cluster management, scaling, upgrades, and security.CI/CD pipelines (Git Hub Actions) and deployment systems.Observability, monitoring, logging, alerting, and reliability practices.Incident response, on?call rotation, and uptime st optimization and infra?level performance tuning.Security best practices, IAM, secrets, policies, and overall infra hygiene.High?scale Postgre SQL (large DB, indexes, performance tuning).Redis and Sidekiq pipelines, queue scaling, job parallelization.API performance and throughput.Manage and optimize LLM deployments across cloud providers.Improve latency, reliability, and cost through routing and system architecture.Help build and maintain eval pipelines and A/B ntribute directly at the app level (prompts, agents, routing).Support or prototype self?hosted model experiments (optional but valuable).The Ideal YouYou have 8+ years of experience in Dev Ops/infrastructure roles, ideally in fast?paced Saa S or startup environments.You've scaled production systems before and know how systems behave under real load.You're equally comfortable deep in Kubernetes or writing Ruby/Python for a quick script, tool, or LLM eval.You care about reliability, speed and pragmatism.You enjoy working on AI systems and have hands?on experience with LLM?powered applications.Your Toolkit IncludesKubernetes, DockerAWS, Azure, GCP (strong in at least 2)Git Hub Actions CI/CDPostgre SQL, Redis, SidekiqLLM APIs (Open AI, Azure, Anthropic; self?hosted a plus)Terraform or similar Ia CStrong coding ability to contribute across the stackThe Alternative YouIf you're earlier in your career but have strong infrastructure experience and clear upside, and you can reasonably grow into the full scope within 2 to 3 years, feel free to reach out.Raw talent is welcome, but depth of experience scaling systems is a big plus here.Why Yuma?High impact with ownership from day one: join a small, international engineering team where every feature you ship and every solution you design is directly visible in petitive compensation based on experience and stock options.Fast growth = fast learning curve: in this hybrid engineering role you'll quickly gain exposure to AI, product iteration, customer workflows, and cross?functional problem solving.Work closely with founders and product/engineering leadership: your ideas and ownership will directly influence the roadmap.A culture of ownership, transparency, and continuous improvement: we move fast, iterate constantly, and empower people to grow.Flexibility: fully remote in Europe with preference for Barcelona office (Boston office is also an option).Our CulturePlease read our culture page: levelMid?Senior levelEmployment typeFull?timeJob functionManagement and ManufacturingIndustriesTechnology, Information and Internet

The Ideal YouYou have 8+ years of experience in Dev Ops/infrastructure roles, ideally in fast?paced Saa S or startup environments. You've scaled production systems before and know how systems behave under real load. You're equally comfortable deep in Kubernetes or writing Ruby/Python for a quick script, tool, or LLM eval. You care about reliability, speed and pragmatism. You enjoy working on AI systems and have hands?on experience with LLM?powered applications.Your Toolkit IncludesKubernetes, DockerAWS, Azure, GCP (strong in at least 2)Git Hub Actions CI/CDPostgre SQL, Redis, SidekiqLLM APIs (Open AI, Azure, Anthropic; self?hosted a plus)Terraform or similar Ia CStrong coding ability to contribute across the stackThe Alternative YouIf you're earlier in your career but have strong infrastructure experience and clear upside, and you can reasonably grow into the full scope within 2 to 3 years, feel free to reach out. Raw talent is welcome, but depth of experience scaling systems is a big plus here.Why Yuma? High impact with ownership from day one: join a small, international engineering team where every feature you ship and every solution you design is directly visible in petitive compensation based on experience and stock options.Fast growth = fast learning curve: in this hybrid engineering role you'll quickly gain exposure to AI, product iteration, customer workflows, and cross?functional problem solving.Work closely with founders and product/engineering leadership: your ideas and ownership will directly influence the roadmap.A culture of ownership, transparency, and continuous improvement: we move fast, iterate constantly, and empower people to grow.Flexibility: fully remote in Europe with preference for Barcelona office (Boston office is also an option). Our CulturePlease read our culture page: levelMid?Senior levelEmployment typeFull?timeJob functionManagement and ManufacturingIndustriesTechnology, Information and Internet

Málaga, España Base Pay Range$70,******/yr - $95,******/yrAbout Yuma AIYuma is building a next?generation orchestration platform that deploys autonomous AI agents dedicated to customer support in e-commerce. We already support 150+ paying merchants and help them automate up to 80% of their customer tickets, freeing human agents for higher?value conversations. Founded by Guillaume Luccisano at the end of ****, Yuma is a leader in the AI Support Automation space with 10+ consecutive months of double?digit growth. Our 25?person team is based in Paris, Barcelona and Boston and has grown revenue 5x in ****. We aim to repeat this trajectory in ****. The scale?up phase is fully underway.About The RoleThis is a foundational role. You will be our first dedicated Dev Ops/Infrastructure Engineer and will take full ownership of everything related to cloud infrastructure, deployments, reliability, and scaling.Our engineering team is made up of 7 people, operates with intensity, and moves fast. Rapid iteration is one of our biggest advantages. Over the past two years, we've built a tremendous amount, but the surface area ahead of us is even larger as we scale usage, models, and automation. You will play a key role in keeping our platform fast, reliable, and ahead of the curve.This role goes beyond Dev Ops. You will also contribute at the LLM layer: running evaluations, experimenting with models, improving latency, optimizing costs, and helping shape how our AI systems operate at scale.What You Will OwnAll cloud infrastructure across AWS, GCP, and Azure.Kubernetes cluster management, scaling, upgrades, and security.CI/CD pipelines (Git Hub Actions) and deployment systems.Observability, monitoring, logging, alerting, and reliability practices.Incident response, on?call rotation, and uptime st optimization and infra?level performance tuning.Security best practices, IAM, secrets, policies, and overall infra hygiene.High?scale Postgre SQL (large DB, indexes, performance tuning). Redis and Sidekiq pipelines, queue scaling, job parallelization.API performance and throughput.Manage and optimize LLM deployments across cloud providers.Improve latency, reliability, and cost through routing and system architecture.Help build and maintain eval pipelines and A/B ntribute directly at the app level (prompts, agents, routing).