Senior Cloud Engineer - Product Metrics
Senior Cloud Engineer responsible for designing, operating, and improving petabyte-scale Product Metrics systems built with Golang, Kubernetes, and ClickHouse. The role requires 5+ years of experience with scalable distributed systems and production ownership.
About the job
Responsibilities
- Help determine the roadmap for the Product Metrics team.
- Design, build, operate, and maintain business-critical petabyte-scale systems.
- Own the performance, reliability, availability, and cost efficiency of Product Metrics systems.
- Deliver and iteratively improve new features in collaboration with the team.
- Mentor and support team members, participate in design discussions, and collaborate across engineering teams.
- Participate in the on-call rotation and take ownership of operated services.
Requirements
- 5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems.
- 2+ years of software application development experience using Golang.
- Experience with at least one major cloud service provider, such as AWS, GCP, or Azure.
- Experience storing, shipping, and retrieving large volumes of data efficiently using technologies such as ClickHouse.
- Experience with Kubernetes, Helm, ArgoCD, Temporal, and infrastructure-as-code tools such as Terraform.
- Strong production debugging and problem-solving skills.
- Excellent communication and teamwork skills, including in a fully remote environment.
Nice-to-haves
- Experience writing Kubernetes operators or controllers.
- Experience with Kafka streaming technology.
- Additional experience with ClickHouse.
Compensation and Benefits
- Equity through company stock options.
- Healthcare contributions.
- Flexible time off in the United States and generous entitlement in other countries.
- USD $500 home-office setup allowance for remote employees.
- Opportunities to attend company-wide offsites.
Skills
Go, Kubernetes, ClickHouse, AWS, GCP, Microsoft Azure, Helm, Argo CD, Temporal, Terraform, Kafka, Distributed Systems
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