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The Senior Customer Architect acts as a trusted technical advisor to ensure customers successfully adopt and derive value from the Elastic Search AI Platform. They define technical success plans, eliminate friction, and collaborate with internal teams to drive product consumption and customer satisfaction.
Customer Architect at Elastic helps clients adopt and expand usage of Elastic’s search, observability, and security solutions, aligning technical deployment with business goals while driving customer success and revenue growth.
Build and optimize backend services in Java for Elastic’s AutoOps platform, integrating APIs, RESTful services, and the ELK stack while troubleshooting performance and stability issues.
Design and tune AI-augmented threat detections in Splunk, Chronicle, and Elastic, using Python, Sigma, and LLM workflows to catch adversary TTPs and AI-specific attacks across cloud and enterprise environments.
Build and maintain scalable MLOps infrastructure on AWS to automate ML model training, deployment, and monitoring for a B2B sales-intelligence platform.
SberData отвечает за развитие платформы для работы с данными в Сбере. У нас свыше 230 Петабайт данных, около сотни продуктов и сервисов для клиентов, включая Супермаркет данных, Дататеку, Лабораторию данных, Графовую…
Build and maintain enterprise web apps using React, Next.js, Node.js, and CMS platforms like Sitecore and Drupal, while following Agile and CI/CD practices.
Build and maintain enterprise web applications using React, Node.js, and .NET; design REST/GraphQL APIs; automate CI/CD pipelines; and troubleshoot across full-stack systems.
Kotak Mahendra Bank is seeking a highly skilled Principal Engineer to lead a critical product engineering team, bringing expertise in cutting-edge technologies. Reporting directly to the Head of Engineering, this role…
Обязанности: 1. Написание и оптимизация Dockerfile, сборка собственных Docker-образов 2. Проектирование, разработка и сопровождение CI/CD-пайплайнов на базе GitLab CI: - Автоматизация сборки, тестирования и доставки…
Обязанности: SberData отвечает за развитие платформы для работы с данными в Сбере. У нас свыше 230 Петабайт данных, около сотни продуктов и сервисов для клиентов, включая Супермаркет данных, Дататеку, Лабораторию…
Lead Software Engineer for Williams-Sonoma's enterprise observability and logging platform, focusing on OpenSearch, Kafka, Logstash, and Kubernetes-hosted tooling. This is a Python-heavy, software-driven contract role based onsite in Rocklin, CA.
Primary Function of Position: This role is to support, enhance, optimize, and innovate the embedded software build environment for the minimally invasive DaVinci Single Port surgical robot. The ideal candidate will…
DevOps Engineer automates AWS infrastructure provisioning, scaling, and CI/CD pipelines for a B2B platform integrating MDM, telemetry, and security across diverse devices, ensuring high availability and performance.
Київстар ТБ запрошує на роботу досвідченого Senior DevOps / SysOps Engineer, який відповідатиме за розвиток, масштабування та стабільну роботу інфраструктури, а також за оптимізацію високонавантажених систем у…
This Data Engineer role involves modernizing a banking group's AWS Data Platform to support AI and generative AI initiatives. The consultant will focus on architecture, pipeline industrialization, and CI/CD processes within a large-scale data environment.
Senior Site Reliability Engineer at Kaizen Gaming in Athens, Greece, responsible for maintaining and scaling cloud and on-prem infrastructure to ensure high availability and performance for global gaming platforms.
Senior DevOps/SRE Engineer works remotely to design, deploy, and maintain highly available production systems using Kubernetes, cloud platforms, and IaC, while mentoring junior team members.
Build and secure scalable cloud architectures on GCP, automate deployments with Terraform/Ansible, and monitor systems using Kubernetes, CI/CD, and logging tools.
Lead Data Engineer at RBC responsible for end-to-end delivery of an enterprise-scale, AI-ready data platform — shaping data flows, supporting AI/ML pipelines, and driving analytics. Core tech includes SQL, Kafka, event streaming, and Lakehouse architectures (Delta Lake, Iceberg).
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