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Design and maintain ultra-low-latency AWS and hybrid networks for crypto trading systems, using Terraform, Ansible, and Linux kernel tuning to support high-frequency trading workflows.
Ищем Middle System Engineer, который поможет превратить поддержку инфраструктуры в систему: меньше алертов, больше стандартных решений и повторяемых процессов. Геораспределенная инфраструктура (4–6 площадок),…
Build and operate Kubernetes and OpenShift platforms, manage CI/CD and GitOps automation, and improve observability and infrastructure as code within a hybrid cloud environment.
Engineer AI/LLM inference on GPU clusters: benchmark, tune, and optimize model serving with vLLM, Triton, or TensorRT-LLM to hit latency, throughput, and memory targets.
Designs high-performance network traffic analysis and DDoS protection systems, focusing on inline/out-of-path architectures, BGP FlowSpec, MPLS, and distributed clustering with low-latency state sync. Core tech: C/Rust/Go, DPDK, eBPF/XDP, Kubernetes, ML integration, and network protocols (gRPC, Protobuf).
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Own and scale the reliability, performance, and cost of ManyChat's AI infrastructure, including LLM inference services and AI Gateway, while shaping standards for the company's AI platform.
An Observability Architect at Grafana Labs designs and implements observability solutions for enterprise clients, advising on architecture, troubleshooting, and adoption strategies to ensure mission-critical systems leverage Grafana Cloud effectively. The role blends technical leadership with customer success, shaping product roadmaps and driving observability maturity.
Design and implement scalable observability solutions for enterprise customers, guiding them from deployment to deep integration while driving adoption and ROI.
Lead a Site Reliability Engineering team to ensure Doctolib’s cloud-native healthcare platform remains reliable and scalable across Europe, using Kubernetes, Terraform, and observability tools like Prometheus and Datadog.
Develop and maintain Linux/Windows-based software and IT infrastructure for MAST-U fusion energy diagnostics, including data acquisition systems, network switches, and storage servers.
Lead an SRE team focused on platform reliability and observability, driving standards across 170+ applications. Core technologies include Kubernetes, Terraform, AWS/GCP, Prometheus, OpenTelemetry, Datadog, and Vault.
Build and maintain ML engineering platforms and pipelines, deploy models to cloud instances, and collaborate with data scientists to optimize workflows using tools like Kubeflow, MLFlow, and Kubernetes.
Maintains and automates cloud-native infrastructure using Kubernetes, Docker, and CI/CD pipelines, deploying and troubleshooting applications across major cloud platforms.
Build and maintain GitLab CI/CD pipelines, Ansible playbooks, and automation scripts (Python/Bash) for server config, DB ops, and deployments; improve IaC with Docker and Kubernetes.
Build and deploy generative-AI models to improve real-time bot and fraud detection for a cybersecurity platform handling 8B+ daily requests.
Maintains and automates cloud-based production environments for a major bank, ensuring high availability and performance using Kubernetes, cloud platforms, and monitoring tools.
Senior Site Reliability Engineer building and maintaining Azure-based monitoring and observability platforms, automating operations, and ensuring high availability of data systems.
A Site Reliability Engineer ensures 24/7 uptime and stability for Kinetic’s SaaS platforms (student accommodation, event management, etc.) by managing cloud infrastructure (Azure), Kubernetes, monitoring tools, and incident response while collaborating with DevOps and platform engineering teams.
Build and maintain CI/CD pipelines and cloud infrastructure for an AI-model development platform in Sberbank’s ecosystem, using Kubernetes, Helm, and DevSecOps practices.
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