Project Overview:

Our client is innovative and operates in AI and corporations' digitalization by empowering businesses with real-time AI data processing. Their goal is to provide businesses with meaningful AI. The company's approach to the E2E AI product applies to all areas of business. 

We are looking for a Senior DevOps Engineer to join a fast-growing startup whose SaaS application transforms how companies work today by delivering personalized business insights powered by AI.

Рекрутер
Дмитро Поляков
Responsibilities:
  • Be responsible for the planning, implementation, and growth of the internal AWS cloud infrastructure;
  • Help integrate with customer cloud infrastructure (Azure, GCP);
  • Manage the configuration of all dev, test & production systems;
  • Work alongside architecture and engineering teams to design and implement any scalable software services;
  • Implement continuous integration/continuous delivery (CI/CD) pipelines when necessary;
  • Assist in implementing GitOps approach to cloud-native software delivery;
  • Automation of infrastructure provisioning using Terraform/CloudFormation;
  • Supporting K8S (EKS) cluster-appropriate scaling and operation;
  • Ensure necessary system security by using best-in-class cloud security solutions;
  • Implement centralized logging, monitoring and alerting solutions;
  • Troubleshoot the system and solve problems across all platform and application domains;
  • Stay current with new technology options and vendor products, evaluating which ones would be a good fit for the company;
  • Cost/benefit analysis of current cloud resources usage;
  • Recommend process and architecture improvements.
Requirements:
  • Experience in maintaining AWS cloud-native applications
  • Experience using DevOps tools in a cloud environment, such as Ansible,
    Artifactory, Docker, Bitbucket pipelines, Kubernetes
  • Experience using monitoring solutions like CloudWatch, DataDog, ELK Stack, and
    Prometheus
  • An understanding of writing Infrastructure-as-Code, using tools like CloudFormation or Terraform
  • Proficiency in script development and scripting languages
  • The theory, concepts, and real-world application of Continuous Delivery (CD), which
    requires familiarity with tools like AWS CodeBuild, AWS CodeDeploy, and AWS
    CodePipeline, Bitbucket
  • An understanding and Focus on maximum automation
  • The ability to be a team player
  • The ability and skill to train other people in procedural and technical topics
  • Strong communication and collaboration skills

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