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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Вакансия объединяет системный анализ, senior DevOps, облачные данные и AI-платформы, требуя по восемь лет опыта почти в каждой области. Из-за этого роль выглядит чрезмерно широкой и её сложно оценить.
Слишком широкий профиль
Актуальные технологии
?Госзаказчик
Только Остин
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Systems Analyst 1739 (Azure/Snowflake/AI): Building and supporting secure cloud, data, and AI platforms with an accent on Azure infrastructure, Snowflake administration, DevOps automation, and monitoring. Focus on designing CI/CD and ETL pipelines, implementing RBAC and security controls, optimizing cloud data workloads, and integrating AI/ML capabilities.
Location: Austin, TX; local-only candidates required. Hybrid schedule with 3 remote days and 2 onsite days every week, specifically Mondays and Wednesdays onsite.
Company
hirify.global, Inc. is the submitting company for this Systems Analyst opportunity supporting the Texas Health and Human Services Commission.
What you will do
Analyze business objectives, user requirements, operational procedures, and system problems.
Evaluate alternative solutions and perform studies and cost-benefit analyses.
Design and support scalable, secure data and AI pipelines on Microsoft Azure and Snowflake.
Automate deployments and data engineering workflows using CI/CD tools and Python.
Administer Snowflake access control, RBAC, least-privilege security, performance tuning, and warehouse management.
Provide monitoring, logging, governance, security, and cross-functional delivery support for cloud and data solutions.
Requirements
At least 8 years of experience with DevOps practices and tools, including Azure DevOps, Git, and CI/CD pipelines.
At least 8 years of hands-on experience with the Microsoft Azure cloud platform.
At least 8 years of Snowflake administration experience, including RBAC, least-privilege access, security, performance tuning, and warehouse management.
At least 8 years of Python scripting experience for automation and data engineering tasks.
At least 8 years of experience with containerization and orchestration; AKS is preferred.
At least 8 years of experience with data pipelines, ETL processes, cloud data integration, AI/ML concepts, and platform integration.
At least 8 years of experience with Azure Monitoring and Log Analytics, including centralized logging, alerting, dashboarding, audit logs, and metrics-based security monitoring.
At least 8 years of familiarity with monitoring, logging, and observability tools.
Nice to have
3 years of experience implementing AI-enabled data platforms, such as Snowflake Cortex or ML pipelines.
3 years of Infrastructure as Code experience.
3 years of knowledge of data security, compliance, and governance frameworks.
3 years of experience in public-sector or large-enterprise environments.
2 years of strong problem-solving, analytical, prioritization, and attention-to-detail skills.
2 years of exposure to Snowflake AI or Cortex features.
1 year of excellent communication and documentation skills.
Culture & Benefits
Hybrid work arrangement with three remote days and two required onsite days each week.
Onsite attendance is required on Mondays and Wednesdays at the Austin location.
The role supports collaboration with cross-functional teams and delivery of reliable cloud and data solutions.
Hiring process
Submit three professional references.
Each reference must include a name, company name, and phone number with area code; title, email address, and professional relationship are optional.
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