• Design, implement, and maintain scalable infrastructure solutions in GCP. • Build, optimize, and manage CI/CD pipelines for application deployments. • Develop and maintain Infrastructure as Code using Terraform. • Containerize applications and manage deployments using Kubernetes and Docker. • Implement monitoring, logging, and alerting solutions to ensure system reliability and performance. • Collaborate with development teams to streamline deployment processes and improve delivery speed. • Automate repetitive tasks and operational processes through scripting and tooling. • Ensure security best practices are applied across cloud infrastructure and pipelines. • Troubleshoot and resolve issues across environments, ensuring minimal downtime. • Design reusable infrastructure templates and deployment standards for multiple teams. • Continuously optimize cloud costs, performance, and scalability. • Support and guide teams in adopting DevOps best practices and cloud-native solutions. • Participate in architecture discussions and contribute to technical decision-making. • Stay up to date with DevOps, Kubernetes, and GCP trends and emerging technologies. • Work closely with cross-functional teams to ensure high-quality, reliable product delivery.

• Supports the design, implementation, and maintenance of scalable, secure, and automated infrastructure and deployment pipelines for applications and services. • Builds and maintains CI/CD pipelines to support reliable deployment of applications and services. • Contributes to infrastructure as code (IaC) development using tools such as Terraform or CloudFormation. • Supports and maintains AWS environments, enhancing scalability, performance, and cost-efficiency. • Implements monitoring, logging, and alerting solutions to ensure system reliability and visibility. • Collaborates with development teams to integrate DevOps best practices into the software development lifecycle. • Automates operational tasks and improves system resilience through scripting and tooling. • Supports security and compliance by applying guardrails, policies, and vulnerability management practices. • Participates in incident response and root cause analysis to enhance system reliability. • Contributes to DevOps standards, documentation, and knowledge sharing across the team.

We're looking for a Forward Deployment Engineer for a client that is building essential infrastructure for AI systems to reliably extract and structure web data. Their core product enables developers to convert URLs into LLM-ready markdown or structured data via a single API call. In a short time, they have achieved significant ARR growth and strong developer adoption, positioning themselves as a fast-scaling AI infrastructure startup. Project Summary The Forward Deployment Engineer will work directly with customers to deploy and optimize the web data for API in real-world production environments. This is a highly hands-on, customer-facing engineering role focused on technical implementation, troubleshooting complex integrations, and transforming customer needs into scalable, repeatable solutions. The role bridges engineering and customer delivery — ensuring successful deployments while feeding real-world insights back into product and core engineering teams. Position Overview This role is ideal for an engineer who enjoys solving complex technical challenges in live environments and working closely with customers. The Forward Deployment Engineer owns technical delivery for priority accounts, from initial integration through long-term optimization. You will operate in ambiguous, fast-moving environments, diagnose issues quickly, and deliver pragmatic solutions that unblock customers. Success in this role requires strong systems fundamentals, clear communication skills, and a bias toward action.

We're looking for a Forward Deployment Engineer for a client that is building essential infrastructure for AI systems to reliably extract and structure web data. Their core product enables developers to convert URLs into LLM-ready markdown or structured data via a single API call. In a short time, they have achieved significant ARR growth and strong developer adoption, positioning themselves as a fast-scaling AI infrastructure startup. Project Summary The Forward Deployment Engineer will work directly with customers to deploy and optimize the web data for API in real-world production environments. This is a highly hands-on, customer-facing engineering role focused on technical implementation, troubleshooting complex integrations, and transforming customer needs into scalable, repeatable solutions. The role bridges engineering and customer delivery — ensuring successful deployments while feeding real-world insights back into product and core engineering teams. Position Overview This role is ideal for an engineer who enjoys solving complex technical challenges in live environments and working closely with customers. The Forward Deployment Engineer owns technical delivery for priority accounts, from initial integration through long-term optimization. You will operate in ambiguous, fast-moving environments, diagnose issues quickly, and deliver pragmatic solutions that unblock customers. Success in this role requires strong systems fundamentals, clear communication skills, and a bias toward action.