Qualified

Software Engineer, Infrastructure

Qualified

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

AWSCloudDistributed SystemsDockerEC2GoGrafanaJavaKubernetesLinuxPostgresPrometheusPythonRubyTerraform

About the role

  • Lead the design and implementation of secure, fault-tolerant, and robust cloud infrastructure on public cloud services.
  • Contribute directly through hands-on coding to develop innovative software tools and implement streamlined automation processes.
  • Plan and execute timely launches of infrastructure upgrades and changes to enable faster execution, improved scale, and increased cost efficiency.
  • Evolve Continuous Integration and Deployment in a multi-service environment, reducing complexity and increasing resilience.
  • Leverage DataDog, Sentry, and other tools to monitor system infrastructure and configuration for disruption, anomalies, or evidence of intrusion.
  • Define, promote, and maintain runbooks and operating procedures; create and maintain system and architecture diagrams and documentation.
  • Mentor and support the development team, acting as a force multiplier and aiding their growth and productivity.
  • Embrace a startup culture: be adaptable, comfortable with ambiguity, and capable of wearing multiple hats.

Requirements

  • Bachelor’s or Master’s degree in Computer Science or a related field.
  • 3+ years of experience in software development in one or more programming languages like Go, Python, Ruby or Java.
  • 1+ years of experience in cloud platforms, infrastructure, and DevOps.
  • Deep experience architecting solutions on cloud-based infrastructure.
  • Experience in architecting secure networks in public clouds.
  • Delivered and refined CI/CD pipelines.
  • Experience with Linux.
  • Experience in automated provisioning using infrastructure-as-code, such as CDK, Cloudformation, Terraform, or Pulumi.
  • Automated deployments using container orchestration technologies such as Kubernetes, AWS EC2 Container Service, or Docker.
  • Strong experience with monitoring and logging tools such as DataDog, Prometheus, Grafana, or ELK.
  • Database management experience a plus, especially with PostgreSQL or ClickHouse.