About the company
Kraken, the trusted and secure digital asset exchange, is on a mission to accelerate the adoption of cryptocurrency so that you and the rest of the world can achieve financial freedom and inclusion. Our 2,350+ Krakenites are a world-class team ranging from the crypto-curious to industry experts, united by our desire to discover and unlock the potential of crypto and blockchain technology. As a fully remote company, we already have Krakenites in 70+ countries (speaking 50+ languages). We're one of the most diverse organizations on the planet and this remains key to our values. We continue to lead the industry with new product advancements like Kraken NFT, on- and off-chain staking and instant bitcoin transfers via the Lightning Network.
Job Summary
The opportunity
šDevelop systems for automatic backup, monitoring, and remediation of blockchain nodes šCode Kubernetes Operators and leverage Helm charts to deploy blockchain nodes in the K8s platform developed by the P&B SRE team šImplement and roll out SLO-based monitoring and alerting for blockchain nodes šDevelop internal tooling and processes to provide abstraction over blockchain nodes šTroubleshoot, debug, and profile blockchains, identify performance issues, and inform mitigation decisions šWrite high-quality policies, procedures, and technical documentation on blockchain node operations šBe on call for issues with blockchain nodes and work towards automatic remediation whenever possible
Skills you should HODL
š7+ years of experience in Site Reliability Engineering, DevOps Engineering, Software Engineering, Platform Engineering, Systems Engineering, or similar roles šProficiency in at least one modern application development or utility language šAn analytical mindset with the ability to tackle complex problems šKnowledge of software development best practices and workflows, with a focus on testing and delivery methodologies šIn-depth knowledge of GNU/Linux systems, their administration, and low-level systems debuggingāespecially in containerized or OS-level virtualized environments šExperience with cloud platform services and tooling (GCP, AWS, Azure) šExperience with metrics-based monitoring systems and crafting SLOs for services
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