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 have 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

The 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 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: https://www.notion.so/yuma-ai/Yuma-s-Culture-5b0e15f1334242ce8a62daab9f2038a1?pvs=4

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.