Remote Backend Engineer for AI Infrastructure

Alignerr

Jakarta Pusat

On-site

IDR 983,122,000 - 1,720,464,000

Part time

6 days ago
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Job summary

Alignerr is seeking a Back End Developer to design, build, and optimize server-side systems and APIs powering AI products. This is a fully remote hourly contract based in Jakarta, with flexible hours and a focus on scalable infrastructure.

You will work on data pipelines, model-serving infrastructure, and microservices that handle real-world traffic at scale, collaborating asynchronously with a global team of engineers and researchers.

Qualifications

  • Experience designing robust backend services and APIs.
  • Strong knowledge of RESTful architectures and microservices.
  • Experience with relational and NoSQL databases.
  • Familiarity with cloud platforms (AWS/GCP/Azure).
  • Proficient in Docker and Kubernetes; experience with CI/CD pipelines.

Responsibilities

  • Design, develop, and maintain backend services, APIs, and data pipelines.
  • Build scalable server-side architecture to support AI workloads.
  • Write clean, tested code with good docs and tests.
  • Integrate with databases, queues, cloud services, and external APIs.
  • Optimize performance, reliability, and scalability as usage grows.
  • Collaborate asynchronously with distributed teams of engineers and researchers.
  • Troubleshoot production issues and participate in architecture decisions.
  • Work independently on task-based assignments with your own schedule.

Skills

Python
Go
Java
Node.js
Rust
REST APIs
Microservices
Distributed systems
Git
Docker
Kubernetes
AWS
GCP
Azure

Tools

PostgreSQL
MongoDB
Redis
Docker
Kubernetes

Job description

Alignerr is seeking a Back End Developer to design, build, and optimize server-side systems and APIs powering AI products. This is a fully remote hourly contract based in Jakarta, with flexible hours and a focus on scalable infrastructure.

You will work on data pipelines, model-serving infrastructure, and microservices that handle real-world traffic at scale, collaborating asynchronously with a global team of engineers and researchers.

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