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описание
The project is a social network that operates without ads, gives users control over their feeds, and provides creative communities with room to grow. It uses a modern technology stack for large-scale, real-time data processing.
задачи
Own infrastructure design, delivery, and operations across the cloud platform;
Operate production environments across multiple AWS accounts and EKS clusters;
Partner with engineering, product, security, and data teams to deliver reliable solutions;
Drive observability, reliability, cost efficiency, and developer experience;
Integrate AI tooling into daily engineering workflows.
требования
5+ Years of relevant experience;
Hands-on expertise across AWS, EKS, ECS, Lambda, Batch, S3, ECR, RDS, VPC, CloudFront, SNS, SQS, IAM, SCP, and AWS Workspaces;
Hands-on expertise with Kubernetes and orchestration tools including ArgoCD, Argo Events, Helm, Karpenter, KEDA, Cilium, Linkerd, and ECS;
Experience with Terraform;
Experience with Kafka, Flink, Cassandra, StarRocks, EMR, Valkey, and OpenSearch;
Experience with Prometheus, Mimir, Loki, Tempo, OpenTelemetry, Grafana, and Alloy;
Experience with Cloudflare and CloudFront;
Experience with Vault, Cloudflare Zero Trust, WARP, and JumpCloud (SCIM);
Experience with GitLab and Harbor;
Experience with gRPC, Protobuf, Linkerd, and Cilium;
Experience with GrowthBook;
Ability to make independent decisions and move work forward with minimal oversight;
Clear and concise written and verbal communication across distributed teams;
Practical fluency with modern AI tools such as Claude, Cursor, Copilot, and agents;
Upper-Intermediate or Advanced English;
Nice to have: familiarity with Karpenter, Cilium, Helm, KEDA, GitOps, Flink, StarRocks, EMR, OpenSearch, Valkey, Prometheus, OpenTelemetry, k6, Vault, Boundary, Zero Trust, mTLS, SCIM, Linkerd, or eBPF networking.
условия
Flexible working hours;
Work from anywhere or from the company office;
Projects with a modern technology stack;
Strong JavaScript community at the company;
Some recruitment process elements are supported by AI tools, while candidate evaluations remain the responsibility of the recruitment team.