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Вам предстоит заниматься: Вывод ML/LLM-моделей в промышленную эксплуатацию: упаковка, деплой и сопровождение инференс-движков (vLLM, Triton Inference Server, BentoML) на Kubernetes (CPU/GPU); развитие и поддержка…
The Senior DevOps Engineer will manage and scale Kubernetes/OpenShift platforms, automate CI/CD pipelines, and operate AI-specific infrastructure including LLM gateways. The role involves developing infrastructure-as-code and supporting AI-driven services within large-scale customer projects.
Graduate Software Engineer at IMC Trading in Zug, Switzerland, building and optimizing low-latency data pipelines for crypto and traditional finance trading systems using Python and statically typed languages.
Платформа управления инфраструктурой Яндекса объединяет все инфраструктурные сервисы компании. Вы будете развивать ядро платформы, IaC-сценарии управления инфраструктурными компонентами, а также утилиту CLI. Ждём, что…
Staff Platform Engineer owns and scales Nango’s cloud infrastructure (compute, networking, data) and productizes BYOC deployments, ensuring reliability, compliance, and fast shipping for a developer-focused API access platform.
Google Cloud Delivery Architect (Project Owner) for the company Google Cloud Delivery team — Google Cloud Partner of the Year 2024–2026. Takes an approved, scoped, fixed-budget engagement and delivers it end to end:…
Build and operate production-grade Kubernetes platforms using Terraform, ArgoCD, and Prometheus. You will take end-to-end ownership of infrastructure automation and security within a small team focused on reliability and scalability.
A senior DevSecOps engineer leads platform development, CI/CD pipelines, and Kubernetes/OpenShift environments while embedding security into agile workflows for a critical public-sector client.
Build and maintain the CI/CD, GitOps, and Kubernetes-based platform that enables engineers to safely and quickly deploy software across multiple stacks like Go, Erlang, and JavaScript.
Telness Tech is seeking a Senior Full Stack Engineer with a backend focus to build and scale their cloud-native telecommunications platform. The role involves working with Go, React, and AI-assisted workflows to support US-based operations while collaborating with the European team.
Senior engineer building AI-powered IT management and cybersecurity SaaS features, integrating ML models and LLMs into customer workflows while owning backend services, APIs, and cloud infrastructure.
The Platform Backend Engineer will build and maintain core services for the Kaseya Intelligence Platform, focusing on event-driven workflows, identity management, and secure infrastructure. The role involves using Go or Rust to develop scalable, reliable systems that support agentic AI workloads and multi-tenant operations.
The DevOps Cloud Engineer will design, automate, and maintain scalable cloud architectures on AWS using Kubernetes (EKS) and CI/CD pipelines with GitHub Actions. The role focuses on infrastructure as code, observability, and security best practices to ensure high availability for global applications.
Build and maintain scalable DevOps infrastructure for AI-driven cybersecurity systems, using AWS, Kubernetes, Terraform, and GitOps to deploy and monitor AI models and agents in production.
Cloud Engineer specializing in Python, maintaining and evolving a Cloud Landing Zone by automating, optimizing, and securing self-service platform services using Python, Bash, Terraform, and GitLab CI/CD across Azure/AWS/GCP.
Designs, implements, and operates secure, scalable Azure platforms, focusing on infrastructure as code, networking, security, and automation while mentoring engineers and driving platform engineering practices.
The Senior Backend Engineer will design and build scalable, high-performance backend systems for the Nexthink Infinity platform using Java, AWS, and container orchestration. The role focuses on developing real-time data processing services and APIs to support AI-driven agent pipelines and IT visibility tools.
DevOps Engineer designing, building, and operating scalable AI platforms using Terraform, Kubernetes, Docker, and CI/CD pipelines across Azure and AWS, with a focus on MLOps and GenAI workloads.
We are a global algorithmic trading firm with an advanced technology stack, driving the full trading cycle — from market research and strategy design to algorithm development and software engineering. Our strength lies…
Build and maintain data/AI infrastructure (Kafka, Flink, Spark) and lead DevOps strategy for a global fintech payments platform, designing cloud infrastructure optimized for performance, scalability, and security.
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