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Added
14 days ago
Location
Type
Full time
Salary
Not Specified

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Related skills

aws kubernetes opensearch apache kafka terraform

As a DevOps Engineer at

Logz.io, your goal is to constantly improve and scale our SaaS platform to deliver an exceptional experience to our customers. You will be responsible for the creation, monitoring, and automation of services’ cloud infrastructure and pipelines, while enabling and collaborating with product teams to efficiently deliver high-quality projects. You will have endless opportunities for architecture design and implementation within AWS cloud infrastructures in a largely bottom-up and healthy debate team culture.

As a DevOps Engineer, you will help us provide the highest quality full-stack management solution for companies all over the world. Manage super-large data ingestion and analytics pipeline running on AWS using cutting edge technologies such as Kubernetes, OpenSearch, Apache Kafka, Multi-Cloud Deployments, Thanos, etc.

Responsibilities

  • Work closely with developers in building analysis tools and production automation tools
  • Work with multiple AWS services
  • Manage, monitor, scale, and troubleshoot a distributed, highly scalable, highly available, customer-facing software stack
  • The position requires participation in on-call rotation that includes weekends and nights

    • Requirements

  • 2+ years of experience as a DevOps Engineer in a high throughput, business critical SaaS environment
  • Extensive experience working with AWS
  • Extensive experience with containerized environments and microservices based on Docker, K8s, and Helm.
  • Experience with IaaC, e.g., Terraform, CloudFormation.
  • CI/CD (especially ArgoCD, GitHub Actions and flows, and Jenkins)
  • High level spoken and written English
  • Team Player & Strong communication skills

    • Advantages

  • Experience with logging and monitoring systems based on OpenSearch/ElasticSearch, Kibana, Prometheus, Grafana, and Jaeger
  • Scripting and Development (Go, Python, Bash, Java, Kotlin, Node)
  • Configuration management tools such as Ansible.
  • Experience with KafkaAWS MSK, EKS, and AI Stack

    •

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