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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У вакансии понятная зона ответственности для Senior DevOps и современный стек AWS и Kubernetes, но зарплата не указана, а работа в офисе и поездки до 20% могут подойти не всем.
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Зарплата не указанаСовременный стекПонятные задачиОфис и поездки
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior DevOps Engineer (AWS/Kubernetes): Building, automating, securing, and operating scalable cloud and data platforms with an accent on AWS, Kubernetes/EKS, Terraform, CI/CD, networking, and observability. Focus on troubleshooting distributed production systems, supporting Databricks and Lakehouse platforms, improving reliability, and implementing secure infrastructure automation.
Location: Houston, Texas, United States. The role requires regular movement around the office and corporate campus and includes up to 20% travel. Candidates must be legally authorized to work in the United States.
Company
hirify.global is part of The Friedkin Group and operates in the automotive sector.
What you will do
Design, build, automate, and maintain scalable AWS infrastructure and modern cloud platforms.
Deploy, operate, troubleshoot, and upgrade Kubernetes and Amazon EKS environments.
Develop reusable Terraform modules and manage infrastructure through Infrastructure as Code and Terraform Cloud workflows.
Build secure CI/CD pipelines and automate application and infrastructure deployments.
Support Databricks environments, Lakehouse architectures, data workflows, and related platform infrastructure.
Implement observability with Datadog, troubleshoot production systems, participate in incident response, and improve reliability, security, and operational efficiency.
Requirements
7+ years of experience in DevOps, Cloud Engineering, Site Reliability Engineering, Platform Engineering, or a related technical role.
4+ years of hands-on AWS experience in enterprise environments, including EKS, Kubernetes, cloud networking, IAM, and security controls.
Advanced Terraform and Infrastructure as Code experience, with strong CI/CD, Docker, Git, and scripting experience using Python, Bash, and/or PowerShell.
Experience with Datadog or a comparable enterprise observability platform and troubleshooting distributed applications and production infrastructure.
Strong understanding of VPCs, routing, DNS, security groups, load balancing, private connectivity, TLS, secrets management, encryption, and least-privilege access.
Must be legally authorized to work in the United States and must not require employer visa sponsorship now or in the future.
Nice to have
Databricks, Apache Spark, Delta Lake, Unity Catalog, Databricks Workflows, or enterprise Lakehouse platforms.
AWS Glue, Kafka, Confluent, RDS/Aurora, PostgreSQL, SQL Server, API Gateway, or Kong.
MLOps, ML platform engineering, Microsoft Entra ID, Okta, AWS Secrets Manager, or KMS experience.
Culture & Benefits
Career growth opportunities, including leadership and personal development.
Supportive culture that values innovation, collaboration, and technical input.
Medical, dental, and vision insurance.
Wellness programs, retirement plans, and generous paid leave.
Performance-based rewards and compensation based on skills, experience, qualifications, and job-related requirements.
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