Senior DevOps Engineer

Description

This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.

"VAST's data management vision is the future of the market."- Forbes

VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.

Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company’s growth and at a pivotal point in computing history.

The DevOps Engineer position is an operational engineering role and is an integrated part of our development team. You will be responsible for improving the efficiency of our processes, software, and infrastructure, and will be assisting RnD Team with product development. If you are DevOps Engineer that is passionate about automating and scaling everything, this job is for you.

Responsibilities

• Monitor and optimize cloud infrastructure for performance, scalability, and cost-efficiency.
• Manage and Maintain CI Infrastructure (GitLab CI and Jenkins).
• Manage, Maintain and Improve our Release and Development Environments.
• Support critical production infrastructure deployed in Multiple Clouds (AWS, Azure, and GCP).
• Develop and Support RnD toolchain and implement best practices for code deployment, testing, and maintenance.
• Automate On-Premises Labs Infrastructure by adopting IaC practices.
• Lead and Develop Monitoring, Telemetry, Alerting, and Logging Production services
  
  

• Proven hands-on experience with Docker and Kubernetes in production. Hands-on experience deploying and managing complex Kubernetes environments, including services, ingresses, load balancers, and Helm charts
• Solid understanding of Linux/Unix Internals and experience with handling complex performance and configuration problems in Linux/Unix environment.
• Multi-Cloud Expertise: Deep familiarity with both GCP and AWS for provisioning, networking, and cost-optimization strategies
• Experience in DSL Configuration tools like Ansible, Chef, or Puppet.
• Experienced with programming languages (Python is preferred).
• Shell scripting experience.
• Proficient in SRE\Monitoring methodologies (Monitoring stacks with emphasis on Prometheus)
  
  

• Experienced with CI/CD tools and frameworks.
• Experience with managing binary repositories (RPMs, Pypi, NPM and etc)
• Experience with developing Ansible collections, roles, and modules.
• Experience with managing GitLab and GitLab CI.
• Experience with Hashicorp Products: Terraform, Packer, Consul, Vault, and Vagrant.
• Experience with automating configuration and deployment of On-Premises Lab Hardware.