Lead Software Engineer

23 hours ago

INDBangalore India Ecolab Food Safety & Hygiene Solutions Private Limited Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Lead software engineer (Azure Devops)

Role Overview

We are looking for a dynamic DevOps Engineer who can architect, implement, and manage cloud-native solutions on the Azure platform. The role demands strong automation capabilities, deep cloud infrastructure knowledge, and a collaborative mindset to drive continuous integration and delivery.

Key Responsibilities
  • Design and maintain scalable cloud environments across development, testing, and production.
  • Build and manage CI/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, or GitLab CI.
  • Automate infrastructure provisioning using Terraform or Bicep.
  • Deploy and manage containerised applications using Docker and Kubernetes (AKS).
  • Monitor and troubleshoot production issues, ensuring system reliability and performance.
  • Integrate security practices into DevOps workflows (DevSecOps).
  • Collaborate with cross-functional teams to support agile development and release cycles.
  • Lead governance, compliance, and maturity initiatives within cloud operations.
Required Skills
  • Proficiency in Azure cloud services (e.g., Azure Repos, Azure Pipelines).
  • Strong scripting skills (PowerShell, Bash, Python).
  • Experience with Git/GitHub, YAML pipelines, and code quality tools like SonarQube.
  • Familiarity with RBAC, Pod Security Standards, and network policies.
  • Solid understanding of Linux systems and cloud security best practices.
  • Infrastructure as Code (IaC) using Terraform or Bicep.
  • Monitoring and logging tools such as Prometheus, Grafana, or ELK Stack.
Preferred Skills
  • Multi-cloud experience (Azure, GCP, AWS).
  • Automation testing frameworks (e.g., Selenium, JMeter).
  • Experience with service mesh technologies (e.g., Istio, Linkerd).
  • Knowledge of container security tools (e.g., Aqua, Twistlock).
  • Familiarity with API gateways and microservices architecture.
  • Exposure to AI/ML pipeline integration and data engineering workflows.
  • Experience with GitOps practices and tools like ArgoCD or Flux.
  • Understanding of compliance standards (e.g., SOC 2, ISO 27001, HIPAA).
Experience LevelSenior Level

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