Database Platform Engineer

Elasticsearch, MariaDB and other NoSQL databases with tight SLAs. - Build and maintain high-touch abstractions and self-service workflows for provisioning, schema evolution, common operational changes, and routine maintenance. - Use programming and AI-assisted workflows to automate repetitive work, improve diagnostics, raise documentation quality, and shorten time-to-resolution during incidents. - Implement, deploy, operate, and improve satellite tools that improve our platform and increase our operational leverage. - Partner closely with internal engineering teams on data access patterns, query optimization, schema design, operational readiness, and safe adoption of shared infrastructure. - Improve observability, alerting, SLOs, runbooks, and operational reviews so that systems are easier to understand and incidents are less likely to happen. - Participate in on-call rotations and incident response. Skills You Should HODL -, Strong hands-on experience operating production-grade

stateful or distributed systems, Solid software engineering skills in a language such as Python, Rust, Go, or similar, with a clear track record of automating infrastructure or operations work. - Experience deploying and operating tools and services in production. - Practical Kubernetes experience, especially around stateful workloads, upgrades, storage, and failure modes. - Strong Linux, networking, and systems troubleshooting fundamentals. - Experience with observability, alerting, incident response, and post-incident improvement. Nice to haves - MariaDB / PostgreSQL - Kafka - Redis / Valkey - Elasticsearch / OpenSearch - MongoDB, ClickHouse, Cassandra, or similar NoSQL / distributed data systems - Terraform, GitOps, CI/CD, operators, or other automation-heavy infrastructure patterns - Query tuning, schema design, replication, clustering, or high-availability design - Data engineering or pipeline-adjacent technologies such as CDC, Kafka Connect, Flink, or similar

About Kraken Kraken is a mission-focused company rooted in crypto values, dedicated to accelerating the global adoption of crypto so that everyone can achieve financial freedom and inclusion. The team Core Infrastructure - Data Systems builds and runs shared data systems that other engineering teams rely on to ship production services safely and quickly, and scale them globally. We operate technologies such as MariaDB, Kafka, Redis, Elasticsearch, and adjacent tooling with a very high operational bar. This team is responsible for keeping critical systems healthy while building abstractions, guardrails, and automation that let internal teams provision resources and evolve their data access patterns. We partner closely with internal customers to stay ahead of their needs. Opportunity - Own the reliability, availability, performance, capacity, backup/restore, disaster recovery, and security posture of shared data systems. - Operate and improve platforms such as Kafka, Redis