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    Senior DevOps Engineer - San Diego, United States - Veear

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    Description
    Job Description


    As a Lead DevOps Engineer, you will be responsible for delivering technology solutions by working closely with Product and Platform teams.

    About The Role

    The role is of a DevOps engineer to work on enabling SaaS products to run on the SaaS Platform.
    The role needs an expert understanding of Docker and experience on running application in Kubernetes.

    The role also involves cloud technologies - strong working experience in a public cloud (Google Cloud is preferred) is essential.

    The candidate should have strong experience of DevOps technologies like Ansible, Terraform, Terragrunt and Jenkins.
    The candidate is expected to have a working understanding of data and messaging technologies like Kafka, Zookeeper, Elasticsearch. Understanding container monitoring and metrics solution.
    Design custom automation solutions based on the application/business requirements and workload characteristics.
    Understanding of High Availability architectures to maintain 99.99% availability SLA
    Strong Experience in performance tuning, identifying bottlenecks, minimizing response time meeting performance SLAs as per business requirements. This requires close collaboration with Product Architects.

    Excellent application architecture & development awareness - architectural patterns, development lifecycle and tools, programming techniques, methods, languages, DevOps methods & tools, etc.

    Demonstrate and cultivate a passion for delivering high quality products aligned with customer needs; increase customer exposure to build empathy.

    Employ continuous learning; build domain expertise and keep abreast on new technology, processes, systems and tools.


    Requirments :
    BS degree in Computer Science or related degree preferred.
    Minimum 12 years of experience in programming and DevOps technologies
    Strong communication skills and ability to work effectively across multiple business and technical teams
    Expertise in working with Agile/ Scrum teams
    Strong understanding of systems fundamentals including OS, networking, storage, load balancing, etc.

    Proficient in following technologies:
    Orchestration Kubernetes, OpenShift, Docker
    Languages Python, Shell, Ant; Java or Golang will be plus
    DevOps tools Ansible, Terraform, Terragrunt, Helm & Docker Compose, Jenkins (CI/ CD)
    Cloud/PaaS Environments Working knowledge of Google Cloud Platform (preferred), Amazon Web Services & Microsoft Azure
    Middleware technologies Elasticsearch, Logstash, Kibana, Kafka, RabbitMQ, Redis
    A passion for automation to reduce repeatable mundane day-to-day tasks and improve consistency and in results.
    Experience in any/combination of Monitoring tools Stackdriver, Cloudwatch, Prometheus, Grafana, Alert Manager, AIOps
    Experience with Migration of workloads across different Cloud platforms
    Experience with running services in large Kubernetes clusters.
    Experience with documentation of standard procedures, architecture, design and deployments
    Ability to thrive in a fast-paced, tight deadline delivery environment.

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