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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Средняя
$138к-180к/год
$130к$150кмедиана$170к
По похожим ролям (50) ~ $150к/год
На СНГ рынке: $3.3к/мес ($2.8к - $4.2к)
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Стабильная роль с современным стеком и отличными бонусами, хотя зарплата чуть ниже рынка, а требование к допуску секретности сильно ограничивает круг подходящих людей.
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Низкая зарплатаВысокий порог входаСовременный стекТрендовый доменОтличные бонусыПонятные задачи
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior DevOps Engineer (AWS/Big Data): Supporting AWS EKS cloud infrastructure and on-premise edge equipment, automating deployments, and ensuring service reliability and scalability with an accent on Kubernetes, infrastructure as code, Linux administration, and CI/CD. Focus on integrating applications with infrastructure, troubleshooting production systems, and improving high-availability performance for customer environments.
Location: Hybrid; must support a customer onsite rotating schedule during regular business hours in Hanover or Columbia, Maryland, with some work from home. U.S. citizenship and a current Top Secret U.S. Government Security Clearance are required; SCI eligibility is highly desired.
Salary: $137,510–$180,000 per year.
Company
hirify.global develops and deploys big data solutions, cloud-based services, software and systems engineering, cyber capabilities, and data science solutions.
What you will do
Support development and deployment of AWS cloud infrastructure, especially EKS, as well as on-premise and portable edge infrastructure.
Manage Kubernetes containers and AWS cloud infrastructure, including deployment, scaling, and maintenance.
Automate deployment processes and ensure service reliability, scalability, high availability, and performance.
Collaborate with development teams to integrate applications into the infrastructure.
Monitor and troubleshoot production systems, resolve complex issues, and continuously improve infrastructure processes and tools.
Stay current with technologies and industry trends and explore improvements to the infrastructure.
Requirements
Current Top Secret U.S. Government Security Clearance and U.S. citizenship are required. SCI eligibility is highly desired.
DoD 8140 / 8570 compliance certification, such as Security+, is required.
Must support a customer onsite rotating schedule during regular business hours in Hanover or Columbia, Maryland; flexibility is required for schedule changes.
9+ years of DevOps Engineering or Software Development experience with a related bachelor's degree; or 7 years of relevant experience with a related master's degree; or a high school diploma or equivalent with 13 years of relevant experience.
Strong knowledge of AWS services, including EKS, EC2, EBS, S3, and Lambda, and their use in infrastructure deployment and management.
Proficiency in Linux system administration and troubleshooting.
Proficiency with configuration management tools such as Terraform and Ansible.
Experience with application, container, and operating system deployment, scaling, and management; development in multiple languages such as Python, Bash, or Go; and familiarity with Git, Flux, and other development and deployment tools.
Excellent problem-solving, troubleshooting, oral communication, and written communication skills.
Understanding of Agile software development methodologies and standard software development tool suites.
Nice to have
Experience with big data technologies such as Hadoop, Spark, PostgreSQL, Elasticsearch, Hive, Drill, Impala, Trino, or Presto.
Experience with EKS, Diode, CI/CD, and Terraform.
SCI eligibility.
Availability for occasional on-call work.
Culture & Benefits
Hybrid work with in-person collaboration and the ability to work from home when needed.
100% paid employee premiums for healthcare, vision, and dental plans.
10% 401(k) benefit.
Generous paid time off and 10 paid holidays.
Education and training allowances.
Hiring process
Additional non-recurrent compensation, if applicable, is discussed by the recruiter during the interview process.
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