Lead DevOps Engineer - Fully Remote Outside IR35

JR United Kingdom; Bolton; Remote; GBP 60,000 - 100,000; Full time

Job summary

An innovative consultancy is on the lookout for a Lead DevOps Engineer to spearhead projects for an insurance client. This fully remote role offers the chance to implement Infrastructure as Code using Terraform, build and manage a Databricks platform, and develop automation pipelines through Azure DevOps. Join a fast-growing team where your expertise will be valued, and contribute to exciting projects that shape the future of technology in the insurance sector. If you're passionate about DevOps and ready to make an impact, this opportunity is perfect for you.

Qualifications

• Proven experience in managing infrastructure using Terraform.
• Strong understanding of Databricks platform and automation pipelines.

Responsibilities

• Implement and manage Infrastructure as Code using Terraform.
• Build and maintain Databricks platform, ensuring smooth operation.
• Develop automation pipelines with Azure DevOps.

Skills

Infrastructure as Code (IaC)

Terraform

Databricks

Azure DevOps

Job description

Job Title: Lead DevOps Engineer - Fully Remote

Contract Duration: 6+ months

Location: Fully Remote

Client: [Client details not specified]

Job Description:

We are seeking a Lead DevOps Engineer to join a fast-growing consultancy, working on a project for an insurance client. This is a fully remote position, suitable for candidates with the right to work in the EU.

Responsibilities:

1. Implement and manage Infrastructure as Code (IaC) using Terraform, with expertise in importing existing infrastructure and managing at scale.
2. Build and maintain Databricks platform, including logging in and troubleshooting.
3. Develop automation pipelines using Azure DevOps.

Requirements:

• Expertise in IaC with Terraform.
• Experience importing existing infrastructure into Terraform.
• Experience managing infrastructure at scale.
• Knowledge of building and managing Databricks as a platform.
• Ability to troubleshoot issues within Databricks.
• Experience with automation pipelines through Azure DevOps.