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10 дней назад

Senior DevOps Engineer (AWS/Kubernetes)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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.
  • Terraform Cloud, GitHub Actions, Helm, FluxCD, Argo CD, or GitOps experience.
  • 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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