Were looking for a highly motivated Senior DevOps engineer to join our DevOps team!
This person will work with the most cutting-edge cloud technologies on a massive scale, including orchestrating thousands of servers across the world while working with petabyte-scale data stores.
Our Scale:
Were working with PB-size datasets, running thousands of EC2/ECS/EKS instances, and serving hundreds of millions of users.
Responsibilities
Lead the implementation of DevOps engineering practices in the organization in collaboration with the Development and Architecture teams
Design, create, and improve infrastructure deployment and management using IaC
Define CI/CD practices, build and maintain pipelines used by development teams
Build and maintain tooling in various technologies
Improve availability, scalability, observability, and cost-efficiency of our current and future products
Support and maintain our existing cloud-based infrastructure
5+ years of experience working with large-scale virtualized environments
3-5 years of experience in implementing the full DevOps lifecycle (CI, CD, Monitoring, Operations)
Extensive experience managing GCP cloud environments in all aspects and services (Compute, Billing, Monitoring, etc)
Extensive experience in Linux administration
Proficiency in writing code (Python, Golang, Ruby, Bash, etc.)
Experience managing and migrating cloud resources using IaC approach
Experience in implementing Microservices approach using Kubernetes (EKS, GKE, ArgoCD/Flux CD)
Experience in Networking (VPC, CDN, VPNs, etc.)
Extensive experience in defining and implementing CI/CD processes using GitlabCI, Jenkins, etc.
Experience in managing large-scale NoSQL databases
Experience in one or more observability and logging platforms (Datadog, Prometheus/Grafana, ELK)
Advantages
NodeJS/Typescript software development experience (for internal tooling)
Extensive experience in NoSQL databases (Couchbase, AeroSpike, Cassandra, ElasticSearch, Redis, etc.)
Experience in Big Data technologies (e.g., Hadoop, Storm, Kafka, Presto, etc.)
Experience in the administration of large-scale relational databases and data warehouses
