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Backend & systems engineer – ai startup founder

Islands
LAULAU
Systems engineer
Posted: 11h ago
Offer description

About the RoleWe 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 ResponsibilitiesMaintaining and improving Linux-based VPS infrastructure (deployments, monitoring, security)Managing Dockerized services and applicationsImplementing automation scripts and CI/CD pipelinesContributing to backend services and APIs using Python (preferred) or TypeScriptSupporting migrations between VPS and cloud platforms (AWS, GCP, Azure)Learning and supporting GPU-enabled cloud services (e.g. Runpod)Troubleshooting performance, security, and integration issuesWriting clean, maintainable, and well-tested codeCollaborating with senior engineers on system design and architectureKey QualificationsBachelor's degree in Computer Science, Software Engineering, or a related field2+ years of experience in backend engineering, systems engineering, or DevOps roles supporting US-based companiesStrong foundations in algorithms, data structures, and programming fundamentalsProficiency in Python (TypeScript / is a plus)Solid Linux server administration and CLI experienceHands-on experience with Docker, systemd, and VPS environments (DigitalOcean, Linode, etc.)Familiarity with Git and CI/CD pipelinesBasic understanding of networking, firewalls, and SSL/TLSAbility to work reliably during US business hours with minimal supervisionBonus (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 FastAPIBasic understanding of observability (logs, metrics, uptime monitoring)Exposure to distributed systems or container orchestration

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