3 дня назад
Senior Cloud Engineer-GCP (Cloud Engineering)
123 700$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Cloud Engineer-GCP (Cloud Data Platforms): Building and operating highly available cloud-native data platform infrastructure with an accent on reliability, scalability, observability, and automation. Focus on designing Terraform-based infrastructure, optimizing distributed storage and streaming systems, and improving CI/CD, incident response, and platform resiliency.
Location: Austin, Texas, United States
Salary: USD $123,700 per year
Company
is a retail company investing in digital technology, scalable customer experiences, and enterprise data platforms.
What you will do
- Design, implement, and maintain highly available, resilient, and scalable cloud-native data platform infrastructure.
- Develop Infrastructure as Code solutions with Terraform and automate platform operations.
- Build monitoring, alerting, observability, SLO, capacity planning, and incident response practices.
- Monitor, troubleshoot, and optimize distributed storage, compute, streaming, and ETL systems.
- Lead root cause analysis, architecture reviews, fault-tolerance initiatives, and performance improvements.
- Build and maintain CI/CD pipelines, improve security and compliance, and contribute to platform roadmaps.
Requirements
- Bachelor’s or master’s degree in computer science, engineering, information technology, or a related field, or equivalent practical experience.
- 5+ years of experience in software, platform, site reliability, or cloud engineering.
- Experience managing large-scale cloud platforms, distributed systems, Databricks, and large-scale data processing environments.
- Deep expertise in AWS services, including EC2, S3, VPC, IAM, Lambda, and CloudFormation.
- Strong Python programming and automation skills, hands-on Terraform and Infrastructure as Code experience, and knowledge of distributed data and compute technologies.
- Strong understanding of reliability, scalability, observability, performance optimization, monitoring, logging, and incident response.
Nice to have
- Experience with Google Cloud Platform or Microsoft Azure.
- Experience with Docker, Kubernetes, CI/CD platforms, and deployment automation tools.
- Experience with data lake, lakehouse, or modern data platform architectures.
- Relevant AWS, Terraform, Kubernetes, or Databricks certifications.
- Experience mentoring engineers and leading cross-functional technical initiatives.
Culture & Benefits
- Fast-paced retail and technology environment.
- Collaboration across engineering, data, product, and business teams.
- Participation in on-call rotations supporting critical production systems.
- Flexible hours when required for business-critical initiatives.
- Occasional travel by car or plane, including overnight stays.
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