About the Role
We are hiring a Backend & Systems Engineer to support a growing technology team working on production backend services and Linux-based infrastructure. This is a hands-on role combining backend development and systems/DevOps responsibilities.
You will work closely with senior engineers and the Enterprise Architect, supporting Linux VPS environments, containerized services, and backend APIs, while gradually expanding your exposure to cloud platforms and GPU-enabled services.
This role is ideal for a junior to mid-level engineer who is dependable, technically curious, and comfortable owning production systems.
Key Responsibilities
Maintaining and improving Linux-based VPS infrastructure (deployments, monitoring, security)
Managing Dockerized services and applications
Implementing automation scripts and CI/CD pipelines
Contributing to backend services and APIs using Python (preferred) or TypeScript
Supporting migrations between VPS and cloud platforms (AWS, GCP, Azure)
Learning and supporting GPU-enabled cloud services (e.g. Runpod)
Troubleshooting performance, security, and integration issues
Writing clean, maintainable, and well-tested code
Collaborating with senior engineers on system design and architecture
Key Qualifications
Bachelor's degree in Computer Science, Software Engineering, or a related field
2+ years of experience in backend engineering, systems engineering, or DevOps roles supporting US-based companies
Strong foundations in algorithms, data structures, and programming fundamentals
Proficiency in Python (TypeScript / is a plus)
Solid Linux server administration and CLI experience
Hands-on experience with Docker, systemd, and VPS environments (DigitalOcean, Linode, etc.)
Familiarity with Git and CI/CD pipelines
Basic understanding of networking, firewalls, and SSL/TLS
Ability to work reliably during US business hours with minimal supervision
Bonus (Nice to Have)
Experience with AWS, GCP, or Azure (VMs, storage, networking)
Exposure to GPU cloud platforms (Runpod, Lambda Labs, Paperspace)
Infrastructure as Code tools (Terraform, Ansible)
Experience with Nginx, PostgreSQL, or FastAPI
Basic understanding of observability (logs, metrics, uptime monitoring)
Exposure to distributed systems or container orchestration