Software Engineer - Infrastructure

The role

This person will ensure the platform is scalable, reliable, and capable of supporting complex network topologies. They will work on an AI-native workflow orchestration engine.

What you will do

• Ensure the platform is scalable, reliable, and capable of supporting complex network topologies

Required qualifications

• 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 with development or infrastructure as code tools, including but not limited to Terraform and Helm
• 5+ years of experience designing, maintaining, optimizing, and supporting Kubernetes
• 3+ years of experience working in public cloud environments (e.g. GCP, AWS, Azure)
• Deep understanding of Cloud Native technologies in Infrastructure layer, Provisioning layer, Runtime layer, Orchestration layer and Application development layer
• Expert knowledge of configuration and best practices around Kubernetes as well as related services like DNS, load balancing, networking, etc.
• Advanced trouble shooting capabilities of Kubernetes and associated services
• 5+ years of experience with CI/CD pipelines and build tools such as Github Actions, Circle, Argo etc
• Experience with various observability tools such as Prometheus, Grafana, Thanos, etc
• Experience with cloud networking technologies (VPC, API Gateway, multi & hybrid cloud networking)

Nice to have

• Experience working with AI/ML tools and products, with an understanding of the capabilities and limitations of the technologies
• AWS / GCP / Azure certifications

About the company

Thread AI is focused on building an AI-native workflow orchestration engine. The company is headquartered in New York and consists of a small technical team.