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    Job · 18691111

    BENGALURU · FULLTIME

    Azure DevOps Engineer

    DeepSpatial logo

    DeepSpatial

    Bengaluru · onsite · Posted 30d ago

    Sourced fromNaukri
    Undisclosed2–6 yrsfulltimeBengaluru

    About a minute. You'll make an account on the way through.

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    Section · 01

    About this role

    Job Role : Azure DevOps Engineer

    Location : Bangalore

    About Us :

    DeepSpatial is a technology company that specializes in leveraging artificial intelligence and machine learning to analyze geospatial data. By integrating advanced analytics with location intelligence, DeepSpatial helps businesses optimize their operations, enhance decision-making, and drive strategic growth. Their solutions often cater to various industries, including education, retail, and environmental management, enabling organizations to gain insights from complex datasets and visualize trends effectively. With a focus on innovation, DeepSpatial aims to transform how organizations utilize geographic data for impactful outcomes.

    Key Responsibilities :

    Kubernetes Administration :
    - Manage and optimize Kubernetes clusters on cloud platforms (Azure preferred).
    - Implement and monitor Kubernetes resources such as Pods, Deployments, Services, StatefulSets, 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.
    - Hands-on experience with Azure DevOps pipelines, version control, release management, and automation.
    - Familiarity with Infrastructure-as-Code (IaC) tools like Azure ARM templates, or Bicep.
    - Experience with containerization technologies, primarily Docker and containerD.
    - 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 cloud networking, storage, and security best practices, particularly within Azure environments.

    Preferred Skills :
    - Azure certifications such as Microsoft Certified : Azure Administrator Associate or Azure DevOps Engineer Expert.
    - 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).
    - 2-5 years of Experience in the related field.

    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

    Sourced from naukri

    Section · 02

    Skills

    PrometheusDevopsGrafanaDockerTerraformBashKubernetesconfiguration managementinfrastructure as codealertingAksdevops engineerElkPythoncomplianceMicrosoft AzureGITArtificial IntelligenceMachine Learning

    Section · Company

    About DeepSpatial

    DeepSpatial logo

    DeepSpatial

    11-50

    employees

    Toronto

    CA

    ₹14.2L PA avg

    Avg at DeepSpatial

    About

    Deepspatial Inc. is an artificial intelligence, technology SaaS company at the forefront of geospatial artificial intelligence and geographic information systems, specializing in providing robust, AI-powered solutions to businesses by leveraging the power of geospatial data.

    Industries

    Artificial Intelligence (AI)Information TechnologySoftware

    Employee ratings

    4 reviews

    4.7/ 5

    Culture

    4.0

    Career growth

    3.5

    Work-life

    4.3

    Employees rate it well for

    Work Satisfaction47Overall Company47

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