Senior Database Platform Engineer, Kraken

• 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

Desirable

• Core Infrastructure – Data Systems builds and runs the 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 not only responsible for keeping critical systems healthy
• We also build the abstractions, guardrails, and automation that let internal teams provision resources, and evolve their data access patterns
• We work closely with our internal customers and aim to stay ahead of their needs
• We are hiring a Senior Database Platform Engineer to help us operate and evolve this platform
• This is a hands-on senior engineering role for someone who is comfortable owning production-grade stateful systems, writing software to remove toil, improving observability and incident prevention, and partnering directly with other engineers on data-system design and performance
• 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, 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