Azure DevOps Engineer

Job Title: DevOps Engineer (Kubernetes and Azure)

Location: NOIDA (Onsite)

Job Type: Full-time

Experience: 3-6 years of Experience in the related field.

Salary: Upto 15 LPA (based on your experience)

About Us:

DeepSpatial is a

Key Responsibilities:

Kubernetes Administration:

 Manage and optimize Kubernetes clusters on cloud platforms (Azure preferred).

 Implement and monitor Kubernetes resources such as Pods, Deployments, Services, Stateful Sets, ConfigMaps, and Secrets.

 Troubleshoot and resolve Kubernetes-related issues, including networking, storage, and cluster performance problems.

 Set up and manage Kubernetes monitoring and alerting using tools like Prometheus, Grafana, and the ELK stack.

 Ensure high availability, security, and scalability of the Kubernetes clusters.

 Perform regular backups, disaster recovery, and patching of Kubernetes environments.

 Manage Helm charts for package management and deployments.

Azure DevOps Engineering:

 Design, implement, and optimize Continuous Integration and Continuous Deployment (CI/CD) pipelines using Azure DevOps.

 Work with development teams to automate infrastructure provisioning and application deployment in cloud and hybrid environments.

 Integrate and maintain automated testing, security scanning, and code quality checks using SonarQube in the CI/CD pipeline.

 Manage and optimize cloud infrastructure in Azure, ensuring cost efficiency, high availability, and security.

 Use ARM templates, or similar Infrastructure-as-Code (IaC) tools to automate infrastructure provisioning and management.

 Implement monitoring and alerting solutions to ensure the health of DevOps pipelines and services.

 Work with version control systems such as Git, and manage repositories and branches effectively in Azure Repos.

 Collaborate with security teams to ensure the compliance of DevOps processes and environments with industry standards and best practices.

Collaboration and Support:

 Work closely with cross-functional teams (development, operations, QA) to provide solutions for automation, configuration management, and deployment workflows.

 Provide guidance and best practices for Kubernetes usage, Azure DevOps pipelines, and cloud infrastructure management.

 Actively participate in the improvement of DevOps and cloud infrastructure processes, advocating for automation and streamlined workflows.

Other Duties:

 Stay up to date with the latest advancements in Kubernetes, Azure, and DevOps tools and technologies.  Document all operational procedures, best practices, and troubleshooting steps for team reference.

 Support and manage Kubernetes-based applications across multiple environments (Dev, QA, Prod).

Qualifications:

Required Skills:

 Experience with Kubernetes, including cluster administration, deployments, and monitoring.

 Proficiency with Azure cloud services, including Azure Kubernetes Service (AKS), Azure DevOps, and related tools.

Azure DevOps

 Familiarity with Infrastructure-as-Code (IaC) tools like Azure ARM templates, or Bicep.

 Experience with containerization technologies, primarily Docker and contained.

 Proficient with Linux/Unix systems and shell scripting (Bash, Python, etc.).

 Knowledge of CI/CD concepts and best practices.

 Experience with container orchestration, particularly Helm for Kubernetes deployments.

 Familiarity with monitoring tools like Prometheus, Grafana, or the ELK stack.

 Experience with Shell and PowerShell scripting to automate tasks, manage resources, and enhance workflows.

 Understanding of cloud networking, storage, and security best practices, particularly within Azure environments.

Preferred Skills:

Azure

 Experience with serverless architectures and managed Kubernetes services (e.g., AKS).

 Familiarity with GitOps principles and tools (e.g., ArgoCD, Flux).

 Knowledge of security best practices in cloud-native applications, including RBAC, Network Policies, and Pod Security Policies.

Education and Experience:

 Bachelor's degree in computer science, Information Technology, or a related field (or equivalent work experience).

Soft Skills:

 Excellent problem-solving and troubleshooting skills.

 Strong communication skills, both written and verbal, with the ability to communicate complex technical concepts to non-technical stakeholders.

 Ability to work independently as well as part of a team.

 Strong collaboration skills, with a focus on supporting cross-functional teams and delivering customer-driven solutions.

 Proactive, self-motivated, and eager to learn and improve.

Ready to grow with us? Send your resume to Charu.Gautam@deepspatial.ai