Staff DevOps Engineer

Remote • Posted 11 hours ago • Updated 11 hours ago
Full Time
Remote
USD $150,000.00 - 170,000.00 per year
Fitment

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Job Details

Skills

  • Communication
  • Innovation
  • GitLab
  • GitHub
  • Terraform
  • Streaming
  • Collaboration
  • Knowledge Sharing
  • Management
  • Supervision
  • Science
  • Computer Engineering
  • Computer Science
  • Continuous Integration
  • Continuous Delivery
  • Extract
  • Transform
  • Load
  • Provisioning
  • Testing
  • Python
  • Zabbix
  • PMM
  • RabbitMQ
  • Puppet
  • Kubernetes
  • Health Insurance
  • Professional Development
  • IT Consulting
  • Product Engineering
  • Advanced Analytics
  • Business Acumen
  • Business Transformation
  • Leadership
  • Artificial Intelligence
  • Data Analysis
  • Cloud Computing
  • DevOps
  • Software Modernization
  • Customer Experience
  • GRID
  • Dynamics

Summary

Various worksites-job may allow for remote work; job may involve relocation to anticipated or unanticipated locations across the United States, including client sites and Grid Dynamics' offices throughout the United States and/or company headquarters located in San Ramon, CA.

We are actively looking for a Staff DevOps Engineer with excellent technical expertise who is interested in joining our growing team. Join our bright engineering team with open communication, empowerment, innovation, and customer-centric culture.

Essential functions

Develop and maintain CI/CD pipelines using GitLab and GitHub Actions.

Automate infrastructure provisioning with Terraform and Pulumi.

Ensure reliability of ETL and data streaming pipelines.

Develop internal automation tools in Python to improve efficiency.

Manage and monitor Kubernetes clusters, ensuring optimal performance.

Implement and improve observability solutions using Prometheus and other monitoring tools.

Collaborate with data engineers and software developers to optimize deployment processes.

Conduct technical interviews, assessments, and knowledge-sharing sessions.

Direct supervision of approximately five DevOps Engineers.

Various worksites-job may allow for remote work, job may involve relocation to anticipated or unanticipated locations across the United States, including client sites and Grid Dynamics' offices throughout the United States and/or company headquarters located in San Ramon, CA.

Qualifications

Master of Science degree in Computer Engineering, Computer Science, or a closely related field.

At least ONE (1) year of experience in the job offered or at least ONE (1) year of experience in the following:

1. Developing and optimizing automated infrastructure and CI/CD pipelines, ensuring ETL reliability, provisioning cloud resources, conducting end-to-end infrastructure testing, enhancing observability and monitoring, designing informational systems, and optimizing costs.

2. Python

3. Zabbix

4. PMM

5. ClickHouse

6. RabbitMQ

7. Infrastructure as a code: Puppet & Pulumi

8. Kubernetes, Kustomize

We offer

Opportunity to work on bleeding-edge projects

Wage range: $150,000.00-170,000.00 per year

Work with a highly motivated and dedicated team

Competitive salary

Flexible schedule

Medical insurance

Benefits program

Social package - medical insurance, sports

Corporate social events

Professional development opportunities

About us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTX145791
  • Position Id: 66ff7cab1680cd6f8c6313e31f6ad83
  • Posted 11 hours ago
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