Software Engineer - Infrastructure

Posted 8 Days Ago
Be an Early Applicant
Hiring Remotely in Office, Machaze, Manica, MOZ
Remote
145K-200K Annually
Senior level
Artificial Intelligence • Machine Learning • Productivity • Software
The Role
The Software Engineer will design and maintain scalable infrastructure, work with cloud environments, optimize Kubernetes, develop CI/CD pipelines, and ensure reliability for AI workflows.
Summary Generated by Built In

Thread AI

Thread AI is focused on building an AI-native workflow orchestration engine looking for dedicated individuals to join its growing team. Our goal is to make infrastructure simple for enterprises and public sector agencies seeking to get the most from AI.

Headquartered in New York, our growing team is a group of AI, product, and engineering experts, who have a track record of creating and executing against complex workflows and infrastructure.

Engineering Culture

We're a small and committed technical team that oversees engineering, research, design, product, and operations. We believe that a small dedicated team with a flat structure and collaborative culture can move faster and build better products than large hierarchical organizations.

About The Role

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.

What We're Looking For

  • 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

We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, or age, we encourage you to apply!

Don’t meet every single requirement? If you’re excited about this role and the company but your past experience doesn’t align with every qualification, we still encourage you to apply anyway - we'd love to get to know you and see if there's a place for you at Thread!

Compensation

$145,000 - $200,000 + Equity

Applicant must be a U.S. citizen for this role. This is a full-time, in-person position based at our New York City office.

Top Skills

Api Gateway
Argo
AWS
Azure
Ci/Cd
Circle
GCP
Github Actions
Go
Grafana
Helm
Java
Kubernetes
Prometheus
Python
Terraform
Thanos
Vpc
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The Company
22 Employees
Year Founded: 2023

What We Do

Thread AI develops a composable AI orchestration platform called Lemma, designed to simplify infrastructure for enterprises and public sector agencies, enabling them to design, implement, and manage AI-powered workflows.

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