Full Stack Developer (Rust / Python / Qdrant) – Dallas

Swarmlens; Town of Texas (WI); On-site; USD 80,000 - 120,000; Full time

Job summary

Swarmlens is looking for a Full Stack Developer to contribute to cutting-edge hybrid architectures. Based in Wisconsin, this role involves creating high-performance applications with a focus on both backend and frontend development.

Your responsibilities will include building scalable APIs using Rust and Python, developing responsive UIs, and managing complex multi-cloud deployments. If you have a strong background in DevOps and containerization with Docker and Kubernetes, this hands-on role is an excellent opportunity.

Qualifications

• Proven software engineering experience, focusing on Rust and Python.
• Practical experience with vector database integration.
• Experience in building responsive UI applications.
• Strong knowledge of hybrid cloud and on-premise deployments.
• Hands-on with Docker and Kubernetes for orchestration.
• Experience in designing CI/CD pipelines.

Responsibilities

• Architect and build high-performance applications.
• Develop scalable APIs and services using Rust and Python.
• Integrate Qdrant for optimal vector search performance.
• Create intuitive UIs with React, Vue, or similar.
• Design CI/CD pipelines for efficient application delivery.
• Manage multi-cloud and on-premise deployments.

Skills

Proficiency in Rust

Proficiency in Python

Experience with vector databases like Qdrant

Experience with React or Vue

Experience with Docker

Experience with Kubernetes

DevOps practices

Job description

We are working with a client at the cutting edge of cloud + on‑premise hybrid architectures and we’re looking for an exceptional Full Stack Developer to help to build it.

Role Overview

As a Full Stack Developer, you will architect, build, and ship high-performance applications that power advanced AI-driven workflows. You will be joining a Dallas-based AI company where your work will span backend engineering, intuitive frontend design, and complex multi-cloud deployments. Your work will involve leveraging GCP Cloud, Oracle Cloud, and on‑prem deployments to power applications built on vector search (Qdrant). If you’re excited by the challenge of building scalable systems across hybrid environments and want to help define the future of AI-driven infrastructure, this role is for you.

Key Responsibilities

• Backend Engineering & Architecture
  • Build and maintain scalable APIs and services using Rust and Python.
  • Architect systems to run seamlessly across Oracle Cloud, GCP, and on‑prem setups.
  • Integrate and optimize Qdrant for high-performance similarity search and vector storage.
• Frontend Development
  • Develop intuitive, responsive User Interfaces (UIs) using React, Vue, or similar modern frameworks.
  • Connect front-end experiences seamlessly with vector-powered backends to ensure a smooth user journey.
• DevOps & Infrastructure
  • Design and maintain robust CI/CD pipelines to ensure streamlined delivery.
  • Manage deployments across complex multi-cloud (Oracle & GCP) and on‑prem environments.
  • Work with Docker and Kubernetes for efficient containerization and orchestration.

Required Qualifications

• Engineering Expertise: Proven experience as a software engineer with strong proficiency in Rust and Python.
• Vector Database Knowledge: Practical experience integrating and optimizing Qdrant (or similar) for vector storage and similarity search.
• Modern Frontend Skills: Experience building responsive applications using React, Vue, or similar frameworks.
• Hybrid Cloud Fluency: Solid background in architecting and deploying solutions across GCP, Oracle Cloud, and on‑premise environments.
• Containerization: Hands‑on experience with Docker and Kubernetes for orchestration.
• DevOps Practices: Experience designing and maintaining CI/CD pipelines in a hybrid environment.
• Oversee deployments across multi‑cloud and on‑prem environments.
• Use Docker/Kubernetes for containerization and orchestration.
• Monitor, troubleshoot, and optimize production systems.

Collaboration

• Work closely with engineering, infrastructure, and AI/ML teams.
• Participate in architecture discussions, code reviews, and planning.

Preferred Qualifications

• Experience with ML pipelines or embedding models.
• Hybrid architecture (cloud + on‑prem) experience.
• Background in high‑performance distributed systems.
• Experience designing end‑to‑end workflows for AI‑driven applications.
• Familiarity with advanced hybrid architecture patterns and data synchronization between cloud and on‑premise systems.
• Experience working in a hands‑on contract role with high autonomy.

Why Join us?

• Build the Future of Hybrid AI: Work at the cutting edge of cloud + on‑premise hybrid architectures.
• High Ownership: This is a hands‑on role where you will design, develop, and deploy high‑performance applications.
• Advanced Tech Stack: Deepen your expertise in Rust, Python, and Qdrant while managing complex multi‑cloud deployments.