Platform Engineer

Jobgether; United States; Remote; USD 30,000 - 50,000; Full time

Benefits offered by this job

Remote position

Full-time opportunity

Direct involvement in core infra and平台

Job summary

Jobgether is seeking a Platform Engineer/SRE to design, build, and scale backend systems and APIs for a growing AI/ML platform. You will work with the founding team to optimize infrastructure, deploy robust cloud solutions, and improve deployment pipelines.

Ideal candidates have 3+ years in production infrastructure, hands-on Docker/Kubernetes, and experience with Terraform or CloudFormation. Remote, full-time role with international scope.

Qualifications

• 3+ years in platform engineering, SRE, or DevOps affecting production infrastructure.
• Deploying and maintaining production systems at scale and resolving outages.
• Hands-on with containerization/orchestration (Docker/Kubernetes).
• Experience with IaC (Terraform, CloudFormation, or Ansible).
• Cloud experience (AWS/GCP/Azure) and CI/CD pipelines.
• Backend languages and API familiarity; databases and observability awareness.
• Strong problem-solving and communication; capable of cross-team collaboration.

Responsibilities

• Design, build, and maintain scalable backend systems and APIs.
• Collaborate with founders and stakeholders to remove bottlenecks.
• Maintain and scale cloud infrastructure, databases, and pipelines.
• Contribute to architectural decisions for long-term platform growth.
• Investigate incidents, troubleshoot outages, and improve monitoring.
• Develop infrastructure-as-code, containers, and CI/CD pipelines.
• Automate deployments and improve operational efficiency.

Skills

Python

Go

Node.js

Java

APIs

Tools

Docker

Kubernetes

Terraform

CloudFormation

Ansible

CI/CD

Job description

Accountabilities

• Design, develop, and maintain scalable backend systems and APIs that support essential product workflows.
• Collaborate with the founding team and cross-functional stakeholders to identify infrastructure bottlenecks and implement effective solutions.
• Maintain, optimize, and scale cloud infrastructure, databases, and deployment pipelines to ensure reliability and performance.
• Contribute to architectural decisions and establish technical foundations that support the platform's long-term growth.
• Investigate production incidents, troubleshoot system failures, and implement improvements to monitoring, logging, and observability.
• Build and maintain infrastructure-as-code solutions, containerization and orchestration systems, and CI/CD pipelines.
• Automate deployment processes and improve operational efficiency, system resilience, and development workflows.

Requirements

• At least 3 years of experience as a Platform Engineer, Site Reliability Engineer, DevOps Engineer, Backend Engineer, or in a similar role involving production infrastructure and core platform services.
• Demonstrated experience deploying, operating, and maintaining production systems at scale, including troubleshooting incidents and resolving outages.
• Hands-on experience with containerization and orchestration technologies such as Docker and Kubernetes, or equivalent tools.
• Practical knowledge of infrastructure-as-code tools such as Terraform, CloudFormation, or Ansible.
• Experience working with cloud platforms such as AWS, Google Cloud, or Microsoft Azure.
• Proven ability to build, maintain, and improve CI/CD pipelines and automated deployment workflows.
• Strong backend development skills in Python, Go, Node.js, Java, or a comparable programming language, alongside experience with databases and APIs.
• Familiarity with monitoring, logging, and observability tools, as well as message queues or event-streaming technologies.
• Strong problem-solving and analytical skills, with the ability to diagnose complex technical issues and implement sustainable solutions.
• Effective communication and collaboration skills, including the ability to work with both technical and non-technical stakeholders.
• Comfort working in an early-stage environment where priorities can evolve quickly, flexibility is essential, and engineers are expected to take ownership of their work.

Benefits

• Compensation: Annual salary below $50,000 USD.
• Work arrangement: Remote position, with a preference for candidates based in India or Latin America.
• Employment type: Full-time opportunity.
• Professional impact: Direct involvement in building and scaling the core infrastructure of an AI and machine learning platform.
• Technical ownership: Opportunities to contribute to architectural decisions, infrastructure strategy, and platform improvements while working closely with the founding team.