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DevOps & Cloud Engineer (Azure + Backend Enablement)

1 month, 2 weeks ago
Mexico, Brazil, Colombia, United States, Ghana, Nigeria
Contract
Senior
DevOps Engineer
DevOps and Infrastructure
Azure Docker FastAPI Git GitHub Actions Python Serverless Terraform
Apply Now
Servant

Servant

Servant is a leading digital agency that serves purpose-driven individuals and organizations aligned with their 'for good' ethos, focusing on creating positive impacts through technology and faith.

Internet Software & Services
11-50
Founded 2021
View All Jobs 3

Description

  • Design, deploy, and manage Azure infrastructure including App Services, Functions, AKS, and Key Vault.
  • Implement Infrastructure-as-Code with Terraform.
  • Ensure high availability, fault tolerance, and secure system boundaries across cloud environments.
  • Optimize cloud cost, performance, and reliability.
  • Build and maintain CI/CD pipelines using Azure DevOps or GitHub Actions.
  • Automate testing, deployments, and environment promotion to accelerate delivery.
  • Support backend services built with FastAPI and Python through deployment, scaling, and runtime optimization.
  • Assist with API observability, logging, and performance tuning.
  • Collaborate with backend engineers to unblock delivery and reduce operational overhead.
  • Implement secure networking, secrets management, identity controls, monitoring, alerting, and incident response workflows.

Requirements

  • Strong experience with Azure cloud services.
  • Proven experience with CI/CD pipelines using Azure DevOps or GitHub Actions.
  • Hands-on Infrastructure-as-Code experience, with Terraform preferred or Bicep.
  • Backend familiarity with Python and FastAPI sufficient to support and troubleshoot services.
  • Experience with Docker and containerized deployments.
  • Strong understanding of cloud security and networking fundamentals.
  • Proficiency with Git and collaborative workflows.
  • Experience supporting multi-tenant SaaS platforms preferred.
  • Familiarity with serverless and event-driven architectures preferred.
  • Experience supporting AI/ML workloads in production preferred.
  • Exposure to observability stacks such as Azure Monitor and Log Analytics preferred.

Benefits

  • Flexible work structure of 20–40 hours per week depending on role scope and workload.
  • Outcome-driven environment with no hour tracking.
  • Fixed monthly stipend aligned to responsibilities and expected ownership.
  • Stipend remains consistent as long as commitments are met and performance remains strong.
  • Flexibility paired with accountability and trust in time management.

Interested in this position?

Apply directly on the company website

Apply Now

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