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Forward Deployed Engineer, DevOps
Сильная технологическая компания в сфере AI с реальными крупными клиентами. Четко определенные зоны ответственности и современный стек технологий (K8s, Argo CD, Terraform).
Сложность вакансии
Роль требует глубоких знаний Kubernetes, Terraform и опыта создания self-service платформ. Высокая планка ответственности из-за работы с крупными корпоративными клиентами и необходимости поддержки кастомных интеграций.
Анализ зарплаты
Зарплата не указана, но для Senior DevOps ролей в Германии в AI-стартапах такого уровня вилка обычно составляет 80,000–100,000 EUR. Предложение будет конкурентоспособным для рынка Берлина и Мюнхена.
Сопроводительное письмо
I am writing to express my strong interest in the Forward Deployed Engineer, DevOps position at Parloa. With over five years of experience in infrastructure engineering and a deep expertise in Kubernetes and Terraform, I am excited by the opportunity to build the foundational platforms that empower your integration teams. My background in creating self-service CI/CD pipelines and managing complex cloud environments aligns perfectly with your mission to provide seamless, automated infrastructure for bespoke client solutions.
Throughout my career, I have maintained a customer-first mindset, treating internal development teams as my primary stakeholders. I have a proven track record of transitioning legacy workloads to modern Kubernetes-based architectures and implementing robust GitOps workflows using Argo CD. I am particularly drawn to Parloa's innovative use of agentic AI and would welcome the chance to contribute to the reliability and scalability of the interactions you power for global brands like Booking.com and SAP.
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Откликнитесь в parloa уже сейчас
Присоединяйтесь к Parloa, чтобы создавать будущее клиентского сервиса на базе AI и масштабировать инфраструктуру для мировых брендов!
Описание вакансии
About Parloa
Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience — one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer and TUI already deploying Parloa at scale.
About the role:
As a Forward Deployed Engineer, DevOps, your mission is to build and scale the dedicated infrastructure that powers our custom agent integrations for our most important customers. You will be the key technical cornerstone of our team, empowering our customer-facing Forward Deployed Engineers to build, deploy, and manage bespoke client solutions with speed and confidence. By creating a robust, automated, and self-service platform, you will directly enable the rapid delivery of high-quality, reliable custom services.
Areas of ownership:
- Design, build, and maintain the cloud infrastructure specifically for hosting custom services developed by the Agent Integration Engineering team.
- Create flexible and reusable CI/CD pipeline templates that the integration team can easily adopt to automate the deployment of their services.
- Champion Infrastructure as Code to create standardized, yet customizable, service environments, ensuring consistency and rapid provisioning for new integrations.
- Manage a Kubernetes-based environment tailored for hosting a multitude of diverse integration services, focusing on security, isolation, and resource management.
- Implement robust monitoring and observability solutions to provide the integration team with deep visibility into the performance and health of their specific services.
- Serve as the primary DevOps partner for the Forward Deployed Engineering team, understanding their workflow, anticipating their needs, and removing infrastructure-related obstacles.
- Develop automation scripts (Python, Go, Bash) to streamline the entire lifecycle of custom integration services, from creation to decommissioning.
- Support and modernize legacy Azure infrastructure, helping transition workloads to a standardized, Kubernetes-based platform aligned with Parloa’s Engineering practices.
Who you are:
- 5+ years of professional experience in DevOps, infrastructure engineering, or a similar role.
- A strong customer-first mindset, viewing the Forward Deployed Engineering team as your primary customer.
- Proficiency in at least one scripting or programming language like Python, Go, or Bash.
- Hands-on expertise with a major cloud provider (AWS, GCP, or Azure).
- Advanced knowledge of containerization and orchestration, specifically Kubernetes, Helm, and Docker.
- Proven experience creating flexible CI pipelines with tools like Jenkins, GitHub Actions, or GitLab CI, and CD/GitOps workflows with tools like Argo CD.
- A strong background in Infrastructure as Code (Terraform is highly preferred).
- Experience building self-service tools and platforms that empower specific development teams.
Our Recruiting Process:
Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser
Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team.
Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information.
Parloa is an e-verify employer in the USA. Please click here to learn more.
\ We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.*
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Навыки
- Kubernetes
- Terraform
- Docker
- Helm
- Python
- Go
- Bash
- AWS
- Azure
- GCP
- CI/CD
- GitHub Actions
- Argo CD
- GitOps
- Jenkins
- GitLab CI
Возможные вопросы на собеседовании
Проверка опыта работы с основным инструментом IaC, указанным в вакансии.
Расскажите о самом сложном модуле Terraform, который вы разработали: как вы обеспечили его переиспользование и гибкость для разных команд?
Вакансия предполагает управление множеством кастомных сервисов в K8s.
Как бы вы организовали изоляцию ресурсов и безопасность в Kubernetes кластере, где хостятся десятки различных интеграций для разных клиентов?
Роль требует создания инструментов для других инженеров.
Опишите ваш опыт создания self-service инструментов. Как вы собирали требования от команды разработки и измеряли успех внедрения?
В описании упоминается модернизация legacy инфраструктуры Azure.
Каков был ваш подход к миграции legacy-приложений в Kubernetes? С какими основными трудностями вы сталкивались при переезде из Azure?
Проверка навыков автоматизации и владения языками программирования.
На каком языке (Python/Go) вы предпочитаете писать инструменты автоматизации и почему? Приведите пример автоматизации, которая значительно сократила время развертывания.
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