Azure DevOps

Turtle Trax S.A.; United States; Remote; MXN 536,864 - 805,297; Full time

Job summary

A technology services company in Mexico is looking for a skilled operator to manage Azure workloads. The role involves executing operational checks, troubleshooting incidents, and managing containerized workloads in a remote setting. Candidates should have experience with Azure automation and FinOps concepts, along with advanced English skills. This position offers an opportunity for individuals proficient in cloud technologies and automated operations.

Qualifications

• Experience with automation frameworks for operational tasks.
• Hands-on work managing containerized workloads.
• Must have advanced English communication skills.

Responsibilities

• Execute daily operational checks and health assessments.
• Perform incident triage and service recovery.
• Manage operational tasks like VM scaling and backup verifications.
• Coordinate with Engineering for escalations requiring changes.

Skills

Automation frameworks (Azure Automation, Functions, Logic Apps)

Containerized workloads (AKS, ACR)

Intermediate scripting (Python)

FinOps concepts

Advanced English

Job description

• Experience with automation frameworks (Azure Automation, Functions, Logic Apps).

• Hands-on work with containerized workloads (AKS, ACR).

• Intermediate scripting skills for automation design (Python preferred).

• Exposure to FinOps concepts including cost visibility, tagging compliance, orphaned resource cleanup.

Activities:

• Execute daily operational checks, health assessments, and capacity reviews for Azure workloads.

• Perform incident triage, troubleshooting, and service recovery steps following defined runbooks.

• Manage common operational tasks such as VM scaling, storage cleanup, identity sync validation, policy compliance checks, and backup/restore verifications.

• Coordinate with onshore Engineering for escalations requiring architectural re-design or platform changes.

Must: Azure, devops, kubernetes

Advanced english

remote