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Lead the migration of a healthcare platform from legacy Azure services to a Kubernetes-based, microservices architecture, ensuring reliability, observability, and cost efficiency while automating infrastructure and CI/CD pipelines.
Leads enterprise messaging platform operations for IBM MQ and Solace, managing queues, clusters, security, and high-availability setups while troubleshooting production issues, mentoring teams, and optimizing messaging workflows across Linux/Windows/UNIX environments.
Senior engineer building the backend infrastructure for an AI acceleration cloud, including Kubernetes clusters, high-performance storage, and GPU virtualization across global data centers.
Build and maintain automated tests for Illumio’s cloud-native micro-segmentation platform, validating performance, scalability, and resilience across AWS, Azure, and GCP.
Senior DevOps Engineer builds and maintains CI/CD pipelines, cloud infrastructure, and automation for secure, scalable software delivery supporting a government program.
Build and maintain custom Kubernetes controllers and operators to automate and simplify Kubernetes management for internal teams, using Go and Kubernetes APIs.
Build and maintain Wealthsimple’s CI/CD, GitOps, and observability systems to enable hundreds of engineers to ship secure, high-quality software rapidly and reliably using Kubernetes, ArgoCD, and Datadog.
Build and lead Lambda’s Managed Kubernetes platform for AI workloads, integrating NVIDIA’s GPU ecosystem and designing GPU-aware orchestration, storage, and networking for bare-metal clusters.
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.
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