ph3Building the Future of Crypto /h3 pOur Krakenites are a world-class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology. /p h3What makes us different? /h3 pKraken is a mission-focused company rooted in crypto values. As a Krakenite, you’ll join us on our mission to accelerate the integral adoption of crypto, so that everyone can achieve financial freedom and inclusion. For over a decade, Kraken’s focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world. /p pBefore you apply, please read the Kraken Culture page to learn more about our internal culture, values, and mission. We also expect candidates to familiarize themselves with the Kraken app. Learn how to create a Kraken account here. /p pAs a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages. Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space. Kraken is committed to industry‑leading security, crypto education, and world‑class client support through our products like Kraken Pro, Desktop, Wallet, and Kraken Futures. /p h3The team /h3 pThe AI Infrastructure team builds and operates the production systems that power intelligent agents at scale. This team sits at the foundation of the agent platform, ensuring that model inference, orchestration, and execution layers are reliable, observable, and performant under real‑world load. /p pWorking closely with the Agent Systems team and broader infrastructure partners, this group owns the core primitives that enable agents to safely operate across internal systems. The environment is high‑scale and high‑stakes — systems serve millions of users and must meet strict reliability, latency, and correctness standards. /p pThis is a deeply production‑oriented team. Engineers here combine strong systems thinking with applied ML infrastructure experience, building in Rust and operating services where performance and failure modes matter.



/p h3The opportunity /h3 ul liDesign and build the infrastructure layer powering AI agent systems in production /li liDevelop high‑performance Rust services that handle model inference, orchestration, and execution /li liArchitect scalable systems capable of supporting millions of users and high request throughput /li liBuild reliable ML infrastructure and MLOps patterns for model deployment, evaluation, and monitoring /li liDefine guardrails, observability, and failure handling for agent‑driven workflows /li liOptimize latency, throughput, and cost across inference and orchestration layers /li liPartner closely with the Agent Systems team to translate experimental prototypes into hardened production systems /li liContribute to foundational infrastructure decisions in a high‑scale, high‑impact environment /li /ul h3Skills You Should HODL /h3 ul li5+ years of experience building and operating high‑scale production systems /li liStrong proficiency in Rust and systems‑level programming /li liDeep understanding of distributed systems, reliability engineering, and performance optimization /li liExperience operating services serving millions of users or high‑throughput workloads /li liFamiliarity with ML infrastructure, model serving, or MLOps in production environments /li liExperience designing observability, monitoring, and failure recovery systems /li liStrong collaboration skills working across infrastructure and applied engineering teams /li liHigh ownership mindset in high‑stakes production environment /li /ul h3Nice to haves /h3 ul liExperience building infrastructure for agent‑based or LLM‑powered systems /li liBackground in high‑performance networking, async systems,



or low‑latency architectures /li liExperience with container orchestration and cloud‑native infrastructure /li liFamiliarity with evaluation frameworks and model performance monitoring at scale /li liExperience working in fast‑moving 0→1 or platform‑building teams /li /ul pUnless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. /p pPlease note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. /p pWe consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. /p pKraken is powered by people from around the world and we celebrate all Krakenites for their diverse talents, backgrounds, contributions and unique perspectives. We hire strictly based on merit, meaning we seek out the candidates with the right abilities, knowledge, and skills considered the most suitable for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto! /p pWe may ask candidates to complete job‑related skills or work‑style assessments as part of our hiring process. These assessments are designed to evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Assessment results are considered alongside other relevant information, such as experience and interviews, and are not the sole basis for any employment decision. /p pAs an equal opportunity employer, we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws. /p h3Stay in the know /h3 pFollow us on Twitter /p pLearn on the Kraken Blog /p pConnect on LinkedIn /p pCandidate Privacy Notice /p /p #J-18808-Ljbffr

📌 Senior Software Engineer – AI Infrastructure (España)
🏢 Kraken
📍 España