Senior DevOps Engineer (Azure | Kubernetes | Python | React)

Bridgify · Posted 2026-06-15

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We're looking for a Senior DevOps Engineer to help build, scale, and optimize our cloud-native platform on Microsoft Azure. In this hands-on role, you'll work closely with our Python and React engineering teams to automate infrastructure, streamline deployments, enhance security, and ensure high availability and performance across our applications.

This is a great opportunity for someone passionate about cloud infrastructure, automation, and enabling development teams to deliver faster and more reliably.

Responsibilities:
  • Design, build, and maintain scalable infrastructure on Microsoft Azure.
  • Create and manage CI/CD pipelines for Python and React applications.
  • Automate infrastructure using Terraform, Bicep, or similar IaC tools.
  • Manage containerized workloads with Docker and Kubernetes (AKS preferred).
  • Implement monitoring, logging, observability, and alerting solutions.
  • Improve platform reliability, scalability, performance, and security.
  • Collaborate with developers to optimize engineering workflows and release processes.
  • Support production environments and contribute to incident response and resolution.
  • Champion DevOps best practices across the engineering organization.
Requirements:
  • 4+ years of experience in DevOps, Platform Engineering, or Site Reliability Engineering (SRE).
  • Strong hands-on experience with Microsoft Azure and Kubernetes.
  • Expertise in Docker, containerization, and cloud-native technologies.
  • Experience building CI/CD pipelines using GitHub Actions, Azure DevOps, GitLab CI, or similar.
  • Strong experience with Infrastructure as Code (Terraform, Bicep, ARM Templates).
  • Solid Linux administration and troubleshooting skills.
  • Experience supporting Python applications in production environments.
  • Familiarity with deployment workflows for React applications.
  • Experience with monitoring and observability tools such as Azure Monitor, Grafana, Prometheus, ELK, or Datadog.
  • Strong scripting and automation skills using Python, Bash, or PowerShell.
  • Excellent problem-solving, communication, and collaboration skills.
Benefits:
  • Experience with AI/ML infrastructure and deployment pipelines.
  • Background in high-growth SaaS environments.
  • Azure certifications.
  • Knowledge of cloud security, compliance, and governance best practices.
  • Experience with microservices architectures.