Director of Data Engineering leading a strategic DevOps team within Enterprise AI. Balancing leadership with hands - on expertise to enable AI technology adoption.
About the role
- Senior DevOps Engineer focused on developing cloud infrastructure and collaborating with engineering teams at Context Labs. Contributing to client-facing products in a fast-paced environment.
Responsibilities
- Provision and maintain cloud infrastructure that hosts our internal and client-facing products
- Develop cloud-agnostic processes and tooling to support CXL’s expanding infrastructure needs
- Collaborate with engineering teams to help provision services in a cloud environment
- Support the engineering teams across multiple products in an Agile environment
- On-call rotation for 24/7 support
Requirements
- Strong experience creating infrastructure used to host client facing products using Azure
- Preferably experience with at least one additional major cloud provider, such as AWS, or GCP
- Experience with Bare-Metal
- Strong experience with Docker containers
- Strong experience with Kubernetes
- Strong infrastructure-as-code experience with Terraform and Helm
- Strong experience with a shell scripting language, such as Bash
- Strong experience with Git
- Proficient using Linux
- Experience in at least one programming language, such as Python, or Go
- Experience with any of the following: Terraform Cloud, Atlantis, Argo CD, Ansible
Benefits
- Health insurance
- 401(k) matching
- Paid time off
- Flexible work hours
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Join a Data Engineering Team as a Senior DevOps to support multiple Data & AI initiatives. Utilize cloud technologies and enhance data pipelines in a collaborative environment.
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