Senior DevOps Engineer — Kubernetes, GCP & Kafka

Yalo Inc.

United States

On-site

USD 140,000 - 190,000

Full time

14 days+

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Benefits offered by this job

Unlimited PTO
Competitive pay
Work-life integration
Startup environment
International teamwork

Job summary

Yalo is seeking a Senior DevOps Engineer to design, implement, and manage scalable cloud infrastructure on Google Cloud Platform, with a focus on Kubernetes, Argo, and Kafka. The role emphasizes cost optimization, automation, and collaboration across teams.

You will build and maintain CI/CD pipelines, optimize cloud resources, and promote DevOps best practices to drive reliability and efficiency in a fast-paced startup environment.

Qualifications

  • Proven experience as a DevOps Engineer or similar role.
  • Extensive experience with Kubernetes, GCP, Argo, cloud architecture, and Kafka.
  • Proficiency in coding with Python, JavaScript, or other programming languages.
  • Strong understanding of CI/CD principles and best practices.
  • Experience in cost optimization and managing cloud budgets.
  • Excellent problem-solving skills and attention to detail.
  • Ability to work collaboratively in a fast-paced, team-oriented environment.
  • Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders.

Responsibilities

  • Design, implement, and manage scalable, reliable, and secure cloud infrastructure on GCP.
  • Develop and maintain CI/CD pipelines using Argo to ensure efficient and automated deployment processes.
  • Manage and optimize Kubernetes clusters for high availability and performance.
  • Architect and implement cloud solutions that meet business requirements and industry best practices.
  • Integrate and manage Kafka for real-time data processing and streaming applications.
  • Collaborate with development teams to ensure seamless integration and deployment of applications.
  • Monitor system performance, troubleshoot issues, and implement improvements to enhance system reliability and efficiency.
  • Implement cost optimization strategies to ensure efficient use of cloud resources and reduce operational expenses.
  • Promote DevOps best practices and culture across the organization.
  • Work closely with cross-functional teams to drive architectural decisions and ensure alignment with business goals.

Skills

CI/CD
Python
JavaScript
Cloud architecture
Cost optimization
Team collaboration

Tools

Kubernetes
Google Cloud Platform
Argo
Kafka

Job description

Yalo is seeking a Senior DevOps Engineer to design, implement, and manage scalable cloud infrastructure on Google Cloud Platform, with a focus on Kubernetes, Argo, and Kafka. The role emphasizes cost optimization, automation, and collaboration across teams.

You will build and maintain CI/CD pipelines, optimize cloud resources, and promote DevOps best practices to drive reliability and efficiency in a fast-paced startup environment.

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