DevOps/Infrastructure Engineer at Signifyd () (allows remote)

DevOps/Infrastructure Engineer at Signifyd () (allows remote)


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Type: Full Time
Created: 2021-04-14 05:00:30

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Our system infrastructure is 100% cloud based. We practice infrastructure-as-code. Each development team manages their product end to end. We need Infrastructure engineers who can accelerate developer teams, while maintaining low latency and highly available shared infrastructure.

Responsibilities;

  • Manage and own shared infrastructure for Engineering including Kubernetes, Teamcity, Jaeger, Gradle, and internal tooling.
  • Automate new and existing processes/environment to build, test and deploy software and infrastructure.
  • Be subject matter expert in container technologies, networking, and build tooling.
  • Security compliance tasks for SOC2 and PCI.
  • Be a part of the standard developer on call rotation. (This rotation is Infrastructure specific; all engineers are a part of it.)

About You

  • Developer experience is your first priority; you get excited by unlocking other people's ability to produce at high speed.
  • You love rolling up your sleeves and helping others.
  • You take an engineering first approach to problem solving.
  • You understand that iteration is the way to consistently make systems better.
  • You know observability into systems is how we can make them reliable.

Core Skills

  • 2+ years of Infrastructure engineering experience
  • 2+ years of experience developing infrastructure for SaaS products
  • Experience working with Kubernetes and Docker
  • Strong programming skills in Python is required
  • Proficient programming skills in Java or any other high level programming languages preferred

Bonus Skills

  • Build technologies such as gradle or bazel, especially with regards to caching and mono repo optimization
  • Using AWS.
  • Cost optimization of infrastructure in AWS.
  • Networking, especially in Kubernetes using a service mesh like Linkerd and ingresses.
  • Knowledge of infrastructure tools such as Cloudformation or Terraform.
  • Linux administration, performance monitoring and debugging tools.

Our stack: Kubernetes, Java, Python, Terraform, Teamcity, Gradle, Linux

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