Remote Backend Engineer — AI Infrastructure

Alignerr Corp.; Austin (TX); Remote; USD 83,000 - 165,000; Part time

Job summary

Alignerr Corp. is seeking Back End Developers in Austin for designing, building, and optimizing server-side systems and APIs that power AI products.

You will work on data pipelines, model-serving infrastructure, and scalable microservices handling real-world traffic at scale, with a focus on reliability and performance. Remote, hourly contract with 10–40 hours per week and flexible scheduling to accommodate time zones.

Qualifications

• Proficient in back end languages and RESTful APIs.
• Experience with microservices and distributed systems.
• Skilled with relational and NoSQL databases.
• Experience with cloud platforms (AWS, GCP, Azure).
• Familiar with Git, CI/CD, Docker, Kubernetes.

Responsibilities

• Design, develop, and maintain robust back end services, APIs, and data pipelines.
• Build scalable, high-performance server-side architecture to support AI workloads.
• Write clean, well-documented, and testable code following best practices.
• Integrate with databases, queues, cloud services, and third-party APIs.
• Optimize performance, reliability, and scalability as usage grows.
• Collaborate asynchronously with distributed teams across time zones.
• Troubleshoot production issues and contribute to architecture decisions.
• Work independently on task- and project-based assignments with flexible scheduling.

Skills

Backend languages

RESTful APIs

Distributed systems

Databases

Cloud platforms

Git & CI/CD

Debugging

Asynchronous work

Tools

Docker

Kubernetes

PostgreSQL

MongoDB

Redis

Git

Job description

Alignerr Corp. is seeking Back End Developers in Austin for designing, building, and optimizing server-side systems and APIs that power AI products.

You will work on data pipelines, model-serving infrastructure, and scalable microservices handling real-world traffic at scale, with a focus on reliability and performance. Remote, hourly contract with 10–40 hours per week and flexible scheduling to accommodate time zones.