devops engineer for cloud data platforms

Addepto; United States; Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

Remote work

Career development

Team events

Medical insurance

Equipment provided

Onboarding buddy

Conference speaking opportunities

Job summary

Addepto ищет DevOps-инженера с опытом работы в Azure и Terraform для поддержки инфраструктуры, CI/CD и серверлес‑сервисов. Вы будете управлять конфигурациями, модулями и удаленным состоянием, а также настраивать мониторинг и безопасность.

Кандидату требуется опыт в Azure Databricks, Event Hubs и автоматизации задач через скрипты. Гибридный формат работы и развитие через программы обучения компании.

Qualifications

• Около 3 лет опыта в DevOps, облачной инфраструктуре или смежной роли.
• Практические знания Azure: вычислительные ресурсы, хранилище, сети, идентификация и безопасность (минимальные привилегии).
• Опыт работы с Terraform, модулями, удаленным состоянием и безопасной схемой планирования/применения.
• Опыт с Azure DevOps или GitHub Actions, работа с Git и pull request.
• Некоторый опыт администрирования облачных дата-платформ и управления доступами.

Responsibilities

• Поддержка инфраструктуры Azure с Terraform: модули, окружения, remote state, планы развертываний.
• Разработка и устранение неполадок CI/CD в Azure DevOps и GitHub Actions.
• Работа с Azure Databricks: настройка рабочих пространств, вычисления, разрешения, доступ к данным.
• Развертывание и поддержка серверлес-сервисов (Azure Functions) и настройка Event Hubs.
• Обеспечение мониторинга и устранение инцидентов через логи и метрики.

Skills

CI/CD pipelines

Azure fundamentals

Scripting: Python/Bash/PowerShell

Education

Соответствующая степень или эквивалентный опыт

Tools

Terraform

Azure DevOps

GitHub Actions

Azure Monitor

Job description

Описание:

Addepto is an AI consulting and data engineering company that builds scalable, ROI-focused AI solutions for enterprises and startups. It focuses on Artificial Intelligence and Big Data, develops its own product, ContextClue, and contributes open-source solutions to the AI community.

Задачи:

Maintain Azure infrastructure using Terraform, including reusable modules, environment configuration, remote state, and reviewed deployment plans; investigate configuration drift and keep existing resources under version control Develop and troubleshoot CI/CD pipelines in Azure DevOps and GitHub Actions, including automated checks, artifacts, approvals, build agents, and service connections Support cloud data platforms such as Azure Databricks by managing workspace settings, compute resources, permissions, storage access, and deployment configuration Deploy and maintain serverless services, particularly Azure Functions, and support Azure Event Hubs configuration, access, capacity, and monitoring Troubleshoot networking and access issues involving DNS, private endpoints, Entra ID, RBAC, and Key Vault Maintain monitoring and alerts, investigate incidents using logs and metrics, and escal… complex issues with clear findings Support production releases and recovery testing, follow established change procedures, validate services after deployment, document results, and keep rollback instructions current for routine changes Write operational scripts and runbooks, automate recurring tasks, and identify opportunities to reduce unnecessary cloud resource usage through appropriate sizing, scheduling, and cleanup

Требования:

Требования: Around 3 years of experience in DevOps, cloud infrastructure, or a similar role, including practical exposure to production environments Hands‑on Azure knowledge covering compute, storage, networking, identity, and security fundamentals, including least‑privilege access and secret management Practical Terraform experience with modules, variables, remote state, and safe plan/apply workflows for existing infrastructure Experience with Azure DevOps or GitHub Actions, confidence using Git and pull requests, and willingness to work with both CI/CD platforms Some experience administering cloud data platforms and understanding compute management, permissions, and data access Familiarity with serverless operations and Azure Event Hubs concepts such as partitions, consumer groups, and retention Ability to automate tasks in Python, PowerShell, or Bash and troubleshoot services using Azure Monitor, Application Insights, and Log Analytics Good communication skills in English, a careful approach to production changes, and the judgement to seek support when needed Будет плюсом: Experience with Azure Data Factory, Azure SQL, Databricks Unity Catalog or Asset Bundles, Docker, KQL, cloud cost optimisation, or AI assistants for scripting and troubleshooting

Условия:

• Flexible work arrangements allow working remotely or from modern offices and coworking spaces
• Career development paths, knowledge-sharing initiatives, language classes, sponsored training and conferences, and access to training materials and certification programs through partnerships with Databricks and Anthropic
• Team‑building events and an integration budget
• Medical and sports packages, eye care, well‑being support services, psychotherapy, and coaching
• Full work equipment, including a laptop and other necessary devices
• Dedicated onboarding buddy and opportunities to speak at conferences, write for the company blog, or participate in meetups