QOVES

We are seeking a skilled Mid-Senior Django Engineer with approximately 3-5 years of professional experience to join our innovative biomedical startup. In this role, you will build and maintain the backend of our SaaS platform using Django and Django REST Framework, working alongside our backend developers and AI engineers to integrate various APIs, computer vision tools, and Large Language Models into production-ready solutions. You will collaborate on deploying AI models, designing robust endpoints, and creatively leveraging LLMs for structured outputs. Selected applicants will be asked to perform a short take-home test task and submit a 30-second video introduction—this is the main criterion we will use for our interview process before the final meeting.

 

Company Overview

QOVES is a biomedical startup focused on improving patient experiences in cosmetic medical clinics through software. We develop AI-powered applications that predict post-surgery appearances and assist in diagnosing the necessity of cosmetic procedures. Our goal is to transform cosmetic surgery consultations into a well-defined, clinical process of diagnosis and visualization through our software integrations with clinics.
 

Your Role
 

As a Senior Django Engineer at QOVES, you will be responsible for:

• Building and Maintaining Backend Services
  Develop and integrate Django-based microservices and RESTful APIs (using Django REST Framework) to power our SaaS platform.
• Integrating AI and Computer Vision
  Collaborate with our AI engineers to incorporate computer vision techniques (e.g., GLCM, SWFT transformers) and Large Language Models into robust, scalable solutions.
• LLM Utilization and Prompt Engineering
  Design innovative prompts for LLMs to produce structured JSON outputs and other data formats required by our applications.
• DevOps for AI Model Deployment
  Set up and manage the infrastructure needed to deploy prebuilt AI models, ensuring reliability, security, and scalability. While we have a dedicated DevOps team, you should be comfortable configuring and running your own test environments quickly.
• Collaboration and Code Quality
  Participate in code reviews, share best practices, and contribute to key architectural decisions.
• Problem-Solving and Innovation
  Think creatively to solve complex backend challenges and continuously optimize system performance.
  
   

Required Qualifications

• 5-10 years of professional experience in Python and Software Engineering.
• Strong proficiency in Python, with a deep understanding of Django and Django REST Framework.
• Demonstrable experience building APIs, microservices, and backend systems using Django.
• Computer Vision Exposure: Familiarity with techniques such as GLCM, SWFT transformers, or similar methodologies.
• LLM Experience: Comfortable using Large Language Models, including prompt engineering and handling structured outputs (e.g., JSON).
• DevOps for AI: Ability to deploy and manage AI models using tools such as Docker, Kubernetes, or equivalent CI/CD solutions.
• Proficiency in version control with Git, including branching, pull requests, and collaborative workflows.
• Bachelor’s Degree in Computer Science or a related field (or equivalent work experience).

Preferred Qualifications

• Startup Environment Experience: Comfortable with fast-paced, iterative development and wearing multiple hats.
• Machine Learning Pipelines: Familiarity with frameworks such as TensorFlow, PyTorch, or similar.
• Cloud Services Expertise: Experience with AWS, GCP, or Azure for deploying and scaling AI services.
• Testing and Automation: Proficient in unit testing, integration testing, and CI/CD pipelines.
• Security and Performance: Strong understanding of best practices for securing REST APIs and optimizing performance.

Our Culture

• Curiosity and Continuous Learning: We are always seeking new ways to solve problems and innovate.
• Hard Work and Dedication: Our mission is to improve patient experiences through technology, and we value the extra effort that goes into making that happen.
• Meritocracy: The best ideas win, regardless of seniority.

Why Work at QOVES

• Impactful Work: Solve real healthcare problems with cutting-edge technology that directly improves patient outcomes.
• Stability and Growth: Join a well-funded startup with the resources to build meaningful products.
• Advanced AI Integration: Work with an expert team that pushes boundaries in AI and medicine.
• Dynamic Team Environment: Collaborate with driven professionals in a fast-paced setting.

Benefits

• Competitive Salary
• Equity Options
• Performance and Quarterly Bonuses
• Flexible Work Arrangements (Hybrid or Remote)
• Professional Development Opportunities

Expected Start Date: May 4, 2026

About QOVES

We’re changing the way consultations are performed in cosmetic clinics. If you’re a creative problem-solver passionate about AI, computer vision, and building robust backends with Django, we’d love to hear from you!

About QOVES

We make software that helps patients and cosmetic medical clinics diagnose, plan, and visualize appearance improvements. Our platform is used by clinics worldwide with an online fan base of 2 million+ and quickly growing.

Unlike typical cloud-only startups, we've built a cost-optimized hybrid infrastructure that combines AWS CDN delivery, bare metal compute, Kubernetes clusters, and self-hosted internal tools, saving significantly on compute while maintaining enterprise-grade security and performance.

About the Role

We're looking for a Mid-Senior DevOps Engineer to establish and lead our DevOps culture from the ground up in our London headquarters. This isn't just about maintaining infrastructure, you'll be setting company-wide policy, building security-hardened environments, and creating the documentation and processes that will scale with us.

In short, you will be guiding the technical team on how to ensure our Production systems stay robustly online to serve our many customers.

What You'll Build

• Hybrid Infrastructure Management: Architect and maintain our unique infrastructure spanning AWS CDN, bare metal servers, and Kubernetes clusters for computationally intensive facial analysis workloads
• CI/CD Pipeline Architecture: Design and implement CircleCI or Jenkins pipelines with comprehensive build testing, versioning, and change logging
• Zero-Trust Networking: Build and maintain mesh topology networks using Tailscale or Wireguard to securely connect our hybrid infrastructure
• Security-First Culture: Establish and enforce security policies including key rotation, access controls, compliance frameworks, and employee security management
• Infrastructure as Code: Document and codify all infrastructure decisions, creating repeatable, auditable deployments
• Containerization Strategy: Implement and optimize Docker/K8s deployments for our AI/ML workloads
• Cost Optimization: Continue our approach of strategic compute placement using owned, rented or borrowed infrastructure where it makes financial sense without sacrificing security or reliability
• Observability & Monitoring: Implement comprehensive logging, monitoring, and alerting across our distributed systems

What You Bring

• 5+ years of DevOps or infrastructure engineering experience, with a track record of building from scratch
• Hybrid infrastructure expertise: Experience managing both cloud (AWS) and self-hosted infrastructure, understanding the tradeoffs and security risks of each
• Kubernetes production experience: Deep knowledge of K8s cluster design, operations, and scaling
• Networking mastery: Strong understanding of VPCs, mesh networks, VPNs, and zero-trust architectures (Tailscale, Wireguard, or similar)
• Security-first mindset: Experience with security compliance, key management, IAM policies, and hardening production systems
• CI/CD expertise: Hands-on experience building robust pipelines (CircleCI, Jenkins, GitHub Actions, or similar) for build testing before deployment
• Infrastructure as Code: Proficiency with Terraform, Ansible, or similar tools
• Scripting & automation: Strong Python, Bash, or Go skills for tooling and automation
• Policy & documentation: Ability to establish best practices and document them clearly for team adoption
• Leadership mentality: Comfortable setting standards and directing technical decisions, not just executing them

Technologies We Use

• Cloud: AWS (CDN, S3, IAM)
• Compute: Bare metal servers, Kubernetes (transitioning from bare metal)
• Networking: Tailscale/Wireguard for mesh topology, zero-trust architecture
• CI/CD: CircleCI or Jenkins
• Containerization: Docker, Kubernetes
• IaC: Terraform
• Monitoring: Grafana, Sentry, Glance

Why QOVES?

• Ownership & Impact: You'll establish the DevOps foundation and policy that scales with the company.
• Profitable & Growing: We're VC-backed and profitable, meaning sustainable growth and job security
• Real-World AI: Work on infrastructure powering actual AI/ML workloads used by medical professionals worldwide
• Security Focus: Build a security-hardened culture from day one, not retrofit it later
• Small Team, Big Decisions: Your architectural choices will shape how we scale to the next level

What Success Looks Like

• You've audited our current infrastructure, documented everything, and established a roadmap
• CI/CD pipelines are running, security policies are enforced, and zero-trust networking is operational
• The team is following your documented standards, infrastructure is code, and we're scaling confidently

Compensation

Competitive salary based on experience, equity options, and benefits. We value expertise and are prepared to compensate accordingly for the right candidate.

Position: Mid-level Frontend Developer

Salary: Competitive, based on experience
Work: Remote

Summary

We are seeking a skilled frontend developer with 4-5 years of experience in Next.js and React to join our innovative biomedical startup. The ideal candidate will have a strong background in building responsive, user-friendly web applications and a passion for creating cutting-edge user interfaces for healthcare software. 

Company Overview

QOVES is a biomedical startup focused on improving patient experiences in cosmetic medical clinics through software. We develop AI-powered applications that predict post-surgery appearances and assist in diagnosing the necessity of cosmetic procedures. Our goal is to transform cosmetic surgery consultations into a well-defined, clinical process of diagnosis and visualization through our software integrations with clinics.

Your Role

• Developing and maintaining our web applications using Next.js and React

• Collaborating with our AI and backend teams to integrate complex functionalities into user-friendly interfaces

• Implementing responsive designs that work across various devices and screen sizes

• Optimizing application performance for maximum speed and scalability • Writing clean, maintainable, and efficient code

• Participating in code reviews and contributing to our frontend architecture decisions

Required Qualifications

• 3-5 years of professional experience in frontend development

• Strong proficiency in Next.js and React

• Excellent knowledge of JavaScript, HTML5, and CSS3

• Experience with state management libraries (e.g., Redux, MobX, or Recoil)

• Familiarity with RESTful APIs and GraphQL

• Version control with Git

• Understanding of cross-browser compatibility issues and ways to address them

• Bachelor's degree in Computer Science or related field (or equivalent work experience)

Preferred Qualifications

• Experience working in a startup environment

• Knowledge of TypeScript

• Familiarity with UI/UX design principles

• Experience with testing frameworks like Jest and React Testing Library 

• Understanding of server-side rendering and its benefits

• Experience with CI/CD pipelines

Why Work at Qoves

• Opportunity to solve real healthcare problems with cutting-edge technology

• Well-funded startup with a strong market presence

• Work with advanced AI technology in a healthcare context

• Collaborate with a talented team in a fast-paced environment

• Competitive salary with equity options

• Performance and quarterly bonuses

• Flexible work arrangements (hybrid or remote)

• Professional development opportunities