CareerPlanGet AI match score →
🌐 Remote💼 Full-time🗓 2026-06-25

Core

Junior backend engineer building scalable APIs and services with exposure to DevOps and ML integrations.

Role type

Junior IC backend developer (intern)

Builds

Scalable APIs, backend services, CI/CD pipelines, containerized applications

Domain

Web development, Cloud infrastructure, Machine Learning integration

Deliverable

production ML models | product features | infrastructure

Required skills

Python (Django/Flask), JavaScript (Node.js), Relational and NoSQL databases, Docker, AWS/GCP/Digital Ocean, CI/CD pipelines, API design, Code reviews

Preferred skills

ML model deployment, Performance tuning, Log analysis

Technologies

Python, Django, Flask, JavaScript, Node.js, Docker, AWS, GCP, Digital Ocean, OpenCV, OpenAI LLMs

Responsibilities

Design and build scalable APIs and backend services, Write clean and testable code, Participate in code reviews, Work with databases and optimize schemas, Maintain CI/CD pipelines, Manage containerization and cloud infrastructure, Monitor application health and performance, Support ML model integration and deployment

Seniority

Junior, hands-on IC (Intern)

Rewrite
## About the role We are looking for a motivated and curious software development engineer I (SDE I) to join our engineering team. As an SDE I, you will work alongside experienced engineers on production-grade systems, gain hands-on experience with modern DevOps practices, and support machine learning integrations. This is a great opportunity for someone who wants to build strong backend fundamentals while also getting early exposure to DevOps and real-world ML applications. ## Responsibilities - Assist in designing and building scalable APIs and backend services. - Write clean, maintainable, and testable code in Python (Django/Flask) and JavaScript (Node.js). - Participate in code reviews and help improve system design and performance. - Work with relational and NoSQL databases, including schema changes and optimization. - Help maintain and enhance CI/CD pipelines and deployment workflows. - Hands-on with containerization (Docker) and cloud infrastructure (AWS/GCP/Digital Ocean). - Monitor application health, log performance metrics, and contribute to reliability improvements. - Support integration of ML models and APIs (e.g., OpenCV, LLMs like OpenAI). - Assist in model deployment, testing, and performance tuning in production environments. - Collaborate with ML engineers and gain exposure to real-world machine learning systems. ## Requirements - will be graduated in the year of 2027 and later - has minimum 6 months of technical internship experience - are available for the work from home job/internship for duration of 6 months - can start the work from home job/internship immediately - can give 42 hours per week to the internship - have relevant skills and interests
Sourced via wellfound · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.
Apply on Wellfound ↗