About the Role As a Platform Engineer, you will build and maintain the core infrastructure behind an AI and machine learning platform that turns real-world company data into useful datasets. You will work closely with the founding team and have a direct impact on reliability, performance, and the pace of product development. What You'll Do • Design and implement scalable backend systems and APIs that support core product workflows. • Partner with founders and cross-functional teams to identify platform bottlenecks and deliver improvements. • Maintain and optimize infrastructure, databases, and deployment pipelines. • Contribute to architectural decisions that guide the platform's long-term direction. • Investigate production issues and improve monitoring and observability. • Build and maintain infrastructure-as-code, containerization, orchestration, and CI/CD systems. What We're Looking For • At least 3 years of experience as a Platform Engineer, Site Reliability Engineer, DevOps Engineer, or Backend Engineer building or maintaining production infrastructure, deployment systems, or core platform services. • Experience shipping or maintaining production systems at scale and resolving incidents or outages. • Hands-on experience with Docker, Kubernetes, or similar containerization and orchestration technologies. • Experience with infrastructure-as-code tools such as Terraform, CloudFormation, or Ansible, and cloud platforms such as AWS, Google Cloud, or Azure. • Experience building or improving CI/CD pipelines and deployment automation. • Strong backend language fundamentals in Python, Go, Node.js, Java, or a similar language, plus experience with databases and APIs. • Familiarity with monitoring, logging, and observability tools, as well as message queues or event streaming systems. • Comfort working in an early-stage environment with changing priorities and communicating with technical and non-technical stakeholders. Compensation & Benefits Salary is under $50,000 USD per year. Equity and visa sponsorship details were not provided. Location Remote, with preference for candidates based in India or Latin America.