Improvado

Senior AI-assisted DevOps Engineer

Improvado
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1 month ago
Remote, AmericasSenior

Responsibilities

  • Manage and evolve AWS/Azure cloud infrastructure and Kubernetes clusters, including capacity planning, autoscaling, reliability, incident response, and post-mortems.
  • Design scalable infrastructure for AI-driven analytics and high-volume data processing.
  • Build and maintain Helm charts, Terraform configurations, and multi-environment deployments.
  • Own monitoring and alerting using Prometheus/Mimir, Grafana, and CloudWatch.
  • Administer PostgreSQL, ClickHouse, and Redis, and support RabbitMQ, AWS SQS, and Temporal.
  • Implement infrastructure security through secrets management, IAM policies, vulnerability scanning, and encryption.
  • Own network design and configuration across VPCs, subnets, firewalls, load balancers, and VPNs.
  • Monitor cloud spending, identify waste, right-size resources, and report on cost efficiency.
  • Participate in an on-call rotation and use AI-assisted development practices with appropriate code validation.

Requirements

  • At least 5 years of experience in a DevOps or SRE role.
  • Hands-on experience with most of the stated stack, including AWS, Azure or GCP, Kubernetes, Helm, GitHub CI, Terraform, PostgreSQL, ClickHouse, Redis, RabbitMQ, AWS SQS, Temporal, Prometheus/Mimir, Grafana, and CloudWatch.
  • Strong Linux fundamentals and Bash and/or Python scripting skills.
  • Practical experience using Claude Code or agentic coding, including validating AI-generated code.
  • Availability aligned with the US Eastern time zone and fluency in English.
  • Ability to work through ambiguity and rapidly changing priorities with strong attention to detail and ownership.
  • Preferred: Go or Python development experience, Vault, Packer, ClickHouse administration, and experience supporting data-intensive pipelines.

Benefits

  • Remote-first work environment.
  • 20 days of paid time off plus US holidays.
  • Optional relocation support to Latin America.
  • Modern AI-native technology stack.
  • Stock options.
  • Professional development reimbursement.
  • Transparent startup culture.

Tech Stack

AWSAzureBashClickHouseGoGoogle Cloud PlatformGrafanaHelmKubernetesLinuxPostgreSQLPrometheusPythonRabbitMQRedisTerraformVault

Categories

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