Требования: Высшее образование (техническое); Опыт работы от 2х лет; Знание языков – русский, английский (выше среднего), азербайджанский – высокий; Знание основ работы сетевых технологий и топологий построения сетей; Знание производителей Cybersecurity решений; Приветствуется опыт работы с оборудованием информационной безопасности NGFW, Endpoint Protection, Monitoring, Threat Protection, DNS Security, или WAF; Приветствуется наличие Сертификатов о прохождении курсов, тренингов или воркшопов решений информационной безопасности из списка вендоров: Palo Alto Networks, Cisco, Check Point, Fortinet, Juniper, IBM, TrendMicro, F5, или CrowdStrike; Умение подбора оптимального решения под техническую задачу; Опыт в чтении презентаций и проведении пилотных тестирований; Опыт работы в системной интеграции, дистрибьюторе либо в крупных заказчиках; Готовность к долгосрочному сотрудничеству с компанией. Обязанности: Развитие отношений с вендором, партнёрами и развитие бизнеса по направлению; Увеличение дистрибьюторской доли за счет технической компетенции, квалифицированного консалтинга и саппорта; Прохождение обучения и успешная сертификация у производителя Palo Alto Networks; Проведение презентаций, практических технических воркшопов и пилотных тестирований; Участие в конф-коллах или встречах с заказчиками/партнёрами, анализ существующей инфраструктуры заказчика, «срез задач» и подбор решений Palo Alto Networks; Подготовка технических решений Palo Alto Networks и аргументации для защиты ТЗ от конкурентов, используя рекомендации вендора, практический опыт и отчеты независимых лабораторий; Использование лабораторного стенда, демо для тестирование различного функционала и ПО вендора Palo Alto Networks, а также для отработки технических кейсов;\ Помощь в установке, конфигурировании, обновлении систем сетевой безопасности Palo Alto Networks, troubleshooting; Активное участие как спикера в мероприятиях для партнеров и/или заказчиков с целью развития технической компетенции участников по Palo Alto Networks; Создание или нахождение всей необходимой документации, касательно продуктов Palo Alto Networks (опросники, RFP, Battlecards, чертежи топологий, таблицы сравнений и т.д.); Мониторинг конкурентов. Личные качества: Навыки делового общения и умение строить деловые отношения; Умение анализировать, мыслить системно, оперативно, принимать оптимальные решения в условиях дефицита информации и времени; Умение работать в команде; Инициативность, стремление к победе; Внимательность, ответственность, порядочность; Способность выдерживать высокий уровень усилий, энергичность, стрессоустойчивость.

Backend Engineer

HIRE5 INC, Баку

Backend Engineer for GetGenAI - a venture-backed startup pioneering the automation of content review processes for highly regulated industries (remote). GetGen AI automates content review for highly regulated industries, enabling swift content creation and personalization, which directly boosts revenue. Proved 150%+ ROI; funded by top-tier VCs; founded by former heads of marketing, product, and AI from EY, Snap, and Nvidia. Currently, the CTO does all the tasks himself, he's seeking a Backend Engineer specialized in Python and experienced in Large Language Model (LLM) prompting to join his team. This role requires a unique blend of technical expertise, innovative thinking, and a deep understanding of AI-driven applications. The successful candidate will be instrumental in designing and implementing scalable backend services that integrate seamlessly with LLM technologies. They will leverage Python to build robust APIs, interact with LLMs, and ensure the optimal performance of AI features. An understanding of modern backend architectures, microservices design, prompt engineering, and a passion for AI and machine learning technologies are essential. Responsibilities: Collaborate with cross-functional product and sales teams to understand requirements and translate AI capabilities into scalable technical solutions. Develop and maintain scalable and reliable backend services using Python, with a focus on LLM integration. Craft and document clear, efficient HTTP APIs for internal and external use, ensuring seamless data flow between LLM technologies and frontend applications. Implement and manage CI/CD pipelines, emphasizing automation and efficient deployment of LLM-powered features. Monitor and improve system performance, proactively addressing issues to maintain service quality. Engage in continuous learning to stay abreast of AI/ML advancements, applying new knowledge to enhance LLM prompting capabilities and backend service performance. Requirements: Fluent English - you should be able to communicate with team members freely. Bachelor’s or Master’s degree in Computer Science, a related technical field. 2-4 years of experience as a Backend Engineer. Strong experience in backend development with Python and a solid understanding of software architecture principles. Demonstrated expertise in LLM prompting, with a portfolio showcasing relevant projects. Proficiency in API design and development, with experience in integrating AI/ML services. Knowledge of database management (e.g., PostgreSQL, Redis, MongoDB) and experience in ensuring efficient data storage and retrieval in AI-driven applications. Familiarity with CI/CD tools and practices, along with experience in deploying and managing cloud-native applications. Experience using collaborative development best practices (Git, Agile, Kanban, review processes, CI/CD pipelines). Excellent analytical and problem-solving skills, with the ability to leverage data to inform decisions and improve service functionality. Strong communication skills, capable of effectively collaborating with technical and non-technical team members. Ability to learn and adapt quickly to new technologies. Nice to have: Experience with Google Cloud Platform (GCP) and related tools. Familiarity with Infrastructure as Code (IaC) principles. Experience with containerization technologies like Docker and Kubernetes. Understanding of security best practices for cloud deployments. Work hours: Maximum intersection with California, USA (PST time zone - you may check the time difference via the link). So, if you could overlap with the team till 1 pm PST, that would be amazing. What we offer: — Full-time job (8 working hours per day, 5/2). For this vacancy, we will consider only the candidates with no other commitments like studies or plans to combine this job with another. We are looking for a full commitment and dedication. — Fully remote work. You just need a laptop to work from, a great internet connection, and an opportunity to adjust your working hours with the schedule of the team in California. — Be at the forefront of automating content review with a direct impact on business success. — Contribute to real-world projects, building robust and scalable backend infrastructure. — Collaborate with a passionate and supportive team of researchers, engineers and professionals. — Learn and grow in a dynamic and fast-paced environment with opportunities for ownership and impact. — Salary will be discussed during the interview. Paid in USD. Application deadline: ASAP Please note that the later you apply - the more intensive your selection process will be, for example, you will have less time for the test assignment, etc. 1. Fill in the application form - attach your CV; 2. Have a Zoom interview with Hire5’s Recruiter; 3. Complete the test assignment; 4. Have a Zoom technical interview with CTO; 5. Have a Zoom culture-fit interview with one of the co-founders; 6. Get hired!