Auto-apply is a Pro feature

Let Findyet apply to this job for you:

  • Your CV is tailored to this posting.
  • The application form's questions are answered from your profile.
  • You review everything and approve before anything is sent.
  • Findyet submits the application and adds it to your tracker.

Available on Greenhouse postings today, up to 3 applications a day on Pro.

The first 100 verified accounts get Pro free for 90 days.

See plans

Thread AI

Infrastructure Software Engineer

Posted Updated
Discussion
  • We are looking for a skilled software engineer with a strong foundation in infrastructure to play a key role in ensuring our platform is scalable, reliable, and capable of supporting complex network topologies.
  • AI infrastructure cuts across many verticals, and we’re looking for curious and creative minds who are determined problem solvers and thrive in fast-paced, high-ownership environments
  • 5+ years of experience with CI/CD pipelines and build tools such as Github Actions, Circle, Argo etc
  • 5+ years of experience in a DevOps, SRE, or platform engineering role
  • 3+ years of software engineering experience in at least one programming language such as Java, Go or Python
  • 5+ years of experience designing, maintaining, optimizing, and supporting Kubernetes
  • Experience with various observability tools such as Prometheus, Grafana, Thanos, etc
  • Advanced trouble shooting capabilities of Kubernetes and associated services
  • Expert knowledge of configuration and best practices around Kubernetes as well as related services like DNS, load balancing, networking, etc
  • Deep understanding of Cloud Native technologies in Infrastructure layer, Provisioning layer, Runtime layer, Orchestration layer and Application development layer
  • Experience with cloud networking technologies (VPC, API Gateway, multi & hybrid cloud networking)
  • 5+ years of experience with development or infrastructure as code tools, including but not limited to Terraform and Helm
  • 3+ years of experience working in public cloud environments (e.g. GCP, AWS, Azure)
  • AWS / GCP / Azure certifications
  • Experience working with AI/ML tools and products, with an understanding of the capabilities and limitations of the technologies

Skills

Apply

See also

Software Engineering jobs by country — openings, pay and top skills →

Tailor your CV for this role?

We couldn't check your fit for this role — add a CV to your profile to see it next time.