Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Понятен проектный контекст и используются актуальные облачные инструменты, но сочетание аналитики, поддержки платформы, координации DevOps, тестирования и инцидентов может размывать ежедневные задачи.
Широкий круг задач
Актуальные технологии
Фармацевтический проект
?Фриланс-контракт
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Technical Analyst (AI): Supporting enterprise Analytics and Data Science platforms for a pharmaceutical project with an accent on AWS, Kubernetes, infrastructure automation, and platform operations. Focus on coordinating stakeholders, defining requirements, managing deployments and testing, and resolving incidents across cloud-based environments.
Location: Prague, Czechia
Company
hirify.global is an IT consultancy delivering software, AI, ML, BI, web, and automation solutions for startups, mid-sized companies, and large corporations across multiple industries.
What you will do
Coordinate activities between business, engineering, infrastructure, and vendor teams.
Gather and analyze requirements, create user stories, and define acceptance criteria.
Support enterprise Analytics and Data Science platforms, AWS infrastructure, and EKS/Kubernetes environments.
Collaborate with DevOps teams on Terraform, Ansible, GitHub, GitOps, and CI/CD automation.
Coordinate deployments, releases, change management, testing, monitoring, and incident resolution.
Maintain technical documentation and support security, governance, validation, and continuous improvement requirements.
Requirements
Experience as a Technical Analyst, IT Analyst, or in a similar technical role.
Understanding of AWS, Kubernetes/EKS, cloud infrastructure, networking, IAM, monitoring, and security.
Familiarity with Terraform, Ansible, GitHub, GitOps, and CI/CD.
Basic knowledge of Python and/or R.
Experience with software testing, deployment, release, change, and incident management.
Good communication and stakeholder coordination skills.
Experience working in Agile teams.
At least 3 years of experience and fluent English are required.
Nice to have
Experience with Domino Data Lab.
Experience in pharmaceutical or other regulated environments.
Knowledge of GxP validation requirements.
Experience supporting Data Science or Machine Learning platforms.
Culture & Benefits
Freelance contract.
Work on a pharmaceutical Analytics and Data Science platform project.
Engagement with business, engineering, infrastructure, DevOps, vendor, and Data Science teams.
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