About this role
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.