Building the Future of Open Finance Payward – the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks – has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, general financial system. Founded in 2011, Kraken is one of the world’s longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The Dev Platform team builds the internal platform that Kraken’s engineers use to build, ship and run software. Within Dev Platform, the AI Gateway is Kraken’s company-wide LLM gateway: a single, governed entry point that gives teams self-service access to leading models from providers such as Anthropic, OpenAI and Google, with visibility into usage and cost, configurable budgets and rate limits, and routing across models and providers for efficiency and resilience. Own the reliability, availability and performance of the AI Gateway as a production-critical service used across the company, including SLOs, error budgets and on-call practices Partner with Security, Finance and AI governance stakeholders to put access controls, budgets, audit logging and data-handling requirements into the platform Automate operations through infrastructure as code, safe deployments and progressive rollouts Extensive experience in site reliability, infrastructure or platform engineering, with a track record of owning high-traffic, business-critical services in production Deep hands-on experience with Kubernetes, a major cloud provider and infrastructure as code (for example Terraform) Proficiency in a language such as Rust or Python, and comfort reading and contributing to a production service’s codebase Experience with API gateways,



reverse proxies or traffic management: load balancing, rate limiting, failover and caching Experience with Consul and Vault for service discovery, configuration and secrets management Experience with model evaluations: building or operating eval pipelines to compare models, prompts and agents, and to catch quality regressions before and after rollout Familiarity with coding agents and agent harnesses (for example OpenHands, Claude Code or similar), including running them safely in sandboxed environments for engineering teams Experience with agent memory systems and the databases behind them (vector stores, search, relational and key-value stores), and operating them reliably Experience hosting and serving models yourself, including vLLM, and running distributed inference or training workloads with Ray (GPU scheduling, batching, autoscaling, cost per token) Experience designing, developing and maintaining Kubernetes controllers and operators (for example with controller-runtime or kubebuilder), including CRDs, reconciliation loops and safe upgrades Experience with cost attribution, budgeting or FinOps for usage-based services Background in security-sensitive or regulated environments such as financial services or crypto Contributions to open-source gateway, proxy or observability projects Please 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. We 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. As an equal opportunity employer, we don’t tolerate discrimination or harassment of any kind, whether 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.

📌 Staff Site Reliability Engineer (España)
🏢 Kraken
📍 España