- Страна
- США
- Зарплата
- 160 000 $ – 230 000 $
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Forward Deployed Engineer, DevOps
Высокая оценка обусловлена конкурентной заработной платой, работой в перспективной сфере AI и использованием современного стека технологий. Компания имеет сильную поддержку инвесторов и известных клиентов.
Сложность вакансии
Роль требует высокого уровня ответственности и глубоких знаний в области Kubernetes и IaC. Сложность обусловлена необходимостью не только поддерживать инфраструктуру, но и создавать инструменты самообслуживания для других инженеров в быстрорастущей AI-компании.
Анализ зарплаты
Предлагаемый диапазон $160k – $230k (включая OTE) находится на верхнем уровне рыночных ожиданий для Senior DevOps ролей в Нью-Йорке. Это подчеркивает высокую значимость позиции для компании.
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, Terraform, and CI/CD automation, I am excited by the opportunity to build the foundational platforms that power Parloa’s custom agent integrations. My background in creating self-service tools for development teams aligns perfectly with your mission to empower Forward Deployed Engineers with speed and confidence.
Throughout my career, I have focused on bridging the gap between infrastructure and application delivery. I have extensive experience managing complex Kubernetes environments and transitioning legacy cloud workloads to modern, automated stacks. I am particularly drawn to Parloa’s customer-first mindset and the challenge of scaling agentic AI interactions for global enterprises like IKEA and Booking.com. I am confident that my technical skills in Python, Go, and various cloud providers will allow me to contribute immediately to your team's success.
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Присоединяйтесь к Parloa, чтобы создавать инфраструктуру будущего для AI-агентов и работать с крупнейшими мировыми брендами!
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 IKEA and Booking.com 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
Why Parloa?
We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale—and want your work to matter in real, everyday moments—this is where you do it.
At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.
We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.
Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.
Salary includes OTE
Salary Range
$160,000—$230,000 USD
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
- Google Cloud Platform
- CI/CD
- GitHub Actions
- Argo CD
- Jenkins
- GitLab CI
- Infrastructure as Code
Возможные вопросы на собеседовании
Проверка опыта работы с основным инструментом автоматизации инфраструктуры, указанным в вакансии.
Расскажите о самом сложном модуле Terraform, который вы разработали: как вы обеспечили его переиспользование и масштабируемость?
Вакансия подразумевает создание платформы для других команд. Важно понять, как кандидат подходит к изоляции ресурсов.
Как бы вы организовали изоляцию и управление ресурсами в Kubernetes для множества различных клиентских интеграций на одном кластере?
Роль требует навыков программирования для автоматизации жизненного цикла сервисов.
Опишите случай, когда вы использовали Python или Go для автоматизации процесса, который ранее выполнялся вручную. С какими трудностями вы столкнулись?
В описании упоминается поддержка устаревшей инфраструктуры Azure.
Каков ваш подход к миграции legacy-сервисов из облачной инфраструктуры в Kubernetes без простоя для клиентов?
Позиция 'Forward Deployed' требует тесного взаимодействия с внутренними заказчиками.
Как вы расставляете приоритеты, когда потребности команды интеграции конфликтуют с требованиями безопасности или стабильности платформы?
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- Страна
- США
- Зарплата
- 160 000 $ – 230 000 $