Platform Engineer

Clera; United States; Remote; USD 45,000 - 55,000; Full time

Job summary

Clera is seeking a Platform Engineer to build and maintain the core infrastructure behind our AI and machine learning platform. You will design scalable backend systems, APIs, and deployment pipelines that power real-world data products.

You will work with the founding team to reduce bottlenecks, improve reliability, and guide the platform’s long-term direction. The role is remote, with a preference for candidates in international regions.

Qualifications

• 3+ years as Platform/SRE/DevOps or backend engineer building production infrastructure
• Experience shipping production systems at scale and handling incidents
• Hands-on with Docker, Kubernetes
• Experience with Terraform, CloudFormation, or Ansible and cloud platforms such as AWS, Google Cloud, or Azure
• Experience building CI/CD pipelines and deployment automation
• Strong backend fundamentals in Python, Go, Node.js, or Java; with databases and APIs
• Familiar with monitoring, logging, observability, and messaging/event streams
• Comfort in early-stage environments with changing priorities and stakeholder communication

Responsibilities

• 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

Skills

Platform engineering

System reliability

Tools

Docker

Kubernetes

Terraform

CloudFormation

Ansible

AWS

Google Cloud

Azure

CI/CD

Go

Python

Node.js

APIs

Databases

Observability tools

Messaging/Streaming

Job description

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.