AI Infrastructure Engineer

Location: Remote in the U.S.

Salary: $200K–$290K plus equity

Company

hirify.global builds multi-agent AI systems that automate complex enterprise workflows across platforms including SAP, Salesforce, Workday, Snowflake, and Databricks.

What you will do

• Design, build, and maintain production-grade AI agent infrastructure across customer environments and cloud providers.
• Own the Azure or Oracle Cloud variant of Tessera’s infrastructure while supporting GCP and AWS.
• Deploy and operate applications with Kubernetes and Terraform, improving portability, observability, security, and reliability.
• Design and own CI/CD pipelines, GitOps-driven deployments, release automation, and build, test, and deployment workflows.
• Build reusable automation and self-service tooling for environment provisioning, secret rotation, dependency updates, compliance checks, and release management.
• Partner with product and platform engineers to remove delivery bottlenecks and automate recurring operational work.

Requirements

• 10–15+ years of experience as a Cloud Infrastructure Engineer.
• Strong hands-on experience with Terraform and Kubernetes.
• Strong hands-on experience with Azure, Oracle Cloud, GCP, or AWS.
• Experience designing and owning CI/CD systems, pipeline architecture, GitOps deployments, release automation, and pipeline-as-code practices.
• Experience building DevOps and developer workflow automation frameworks using Bash, Python, or similar scripting, workflow orchestration, and self-service tooling.
• Strong networking fundamentals and experience deploying and operating production systems.
• Experience with FluxCD or other GitOps controllers such as ArgoCD.
• Understanding of cloud security and DevSecOps, including security gates, SBOM generation, and compliance checks in CI/CD pipelines.
• Software development and SDLC experience, a builder mindset, strong ownership, and the ability to defend complex AI agent infrastructure decisions.

Nice to have

• Experience in startup and/or big tech environments.
• Passion for learning, unified infrastructure, and robust, reliable systems.

Culture & Benefits

• Full-time remote role limited to the U.S.
• Work on cutting-edge AI infrastructure with enterprise impact.
• Own foundational systems at an early-stage, high-growth company.
• Collaborate with an execution-focused founding team.
• Help shape how AI is deployed across major enterprise platforms.