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

Yuma Ai
Madrid, Spain
7 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
8 years minimum
Working hours
Regular working hours

Tech stack

A/B Testing Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Application Performance Management Systems Engineering Microsoft Azure Software as a Service Cloud Computing Data Systems DevOps Github
+15 more
Identity and Access Management Python (Programming Language) PostgreSQL Performance Tuning Redis Ruby Systems Architecture Data Logging Google Cloud Docker for Aws Delivery Pipeline Large Language Models Backend Kubernetes Terraform

Job description

About Yuma AI: Yuma is building a next-generation orchestration platform that deploysautonomous AI agents dedicated to customer support in e-commerce .We already support150+ paying merchantsand help them automate up to80% of their customer ticketsfreeing human agents for higher-value conversations.Founded byGuillaume Luccisano (3rd-time YC founder)at the end of **, Yuma is one of theleaders in the AI Support Automation spacewith 10+ consecutive months of double-digit growth.We are now a team of 25 passionate and ambitious people based between Paris, Barcelona and Boston and have grown revenue 5x in **.We aim to repeat this trajectory in **.The scale-up phase is fully underway.About the role :This is a foundational role.You will beour first dedicated DevOps/Infrastructure Engineerand 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 DevOps.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.If you enjoy working at the intersection of infrastructure, backend systems, and AI, this is exactly the kind of role where you’ll thrive.What You Will Own :Infrastructure & Platform :All cloud infrastructure across AWS, GCP, and Azure.Kubernetes cluster management, scaling, upgrades, and security.CI/CD pipelines (GitHub Actions) and deployment systems.Observability, monitoring, logging, alerting, and reliability practices.Incident response, on?call rotation, and uptime improvements.Cost optimization and infra?level performance tuning.Security best practices, IAM, secrets, policies, and overall infra hygiene.Backend & Data Systems :High?scale PostgreSQL (large DB, indexes, performance tuning).Redis and Sidekiq pipelines, queue scaling, job parallelization.API performance and throughput.AI / LLM Systems :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 tests.Contribute directly at the app level (prompts, agents, routing).Support or prototype self?hosted model experiments (optional but valuable).The Ideal You :You have8+ years of experiencein DevOps / infrastructure roles, ideally infast?paced SaaS or startup environments.You’ve scaled production systems before and know how systems behave under real load.You’re equallycomfortable deep in Kubernetes or writing Ruby/Pythonfor 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 includes:Kubernetes, DockerAWS, Azure, GCP (strong in at least 2)GitHub Actions CI/CDPostgreSQL, Redis, SidekiqLLM APIs (OpenAI, Azure, Anthropic; self?hosted a plus)Terraform or similar IaCStrong coding ability to contribute across the stackThe Alternative You :If 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 production.Competitive compensationbased on experience andstock optionsFast growth = fast learning curve :in this hybrid engineering role, you’ll quickly gain exposure to AI, product iteration, customer workflows, and cross?functional problem?solvingWork closely with founders and product/engineering leadership: your ideas and your ownership will directly influence the roadmap.A culture ofownership, transparency, and continuous improvement: we move fast, iterate constantly, and empower people to growFlexibility: fully remote in Europe with preference for Barcelona office (Boston office is also an option)OUR CULTUREPlease, if you are considering applying, first read our culture page: ?pvs=4#J-***-Ljbffr

Requirements

8+ years of experience in DevOps / infrastructure roles, ideally in fast?paced SaaS 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 includes: Kubernetes, Docker AWS, Azure, GCP (strong in at least 2) GitHub Actions CI/CD PostgreSQL, Redis, Sidekiq LLM APIs (OpenAI, Azure, Anthropic; self?hosted a plus) Terraform or similar IaC Strong coding ability to contribute across the stack

Benefits & conditions

If 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 production. Competitive 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 your 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 CULTURE Please, if you are considering applying, first read our culture page: ? pvs=4 #J-*****-Ljbffr

About the company

Madrid, España

About Yuma AI: Yuma 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 (3rd-time YC founder) at the end of **, Yuma is one of the leaders in the AI Support Automation space with 10+ consecutive months of double-digit growth. We are now a team of 25 passionate and ambitious people based between Paris, Barcelona and Boston and have grown revenue 5x in **. We aim to repeat this trajectory in **. The scale-up phase is fully underway.

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