Job VC

🚀 Project Description

From the engineering side, this role is focused on
Backend + Infrastructure / DevOps
as secondary skillset, with strong ownership over the technical foundation of the features.

✅ You are:

Have practical experience from commercial projects, pet projects, hackathons, or open-source contributions
Confident with
Java
, with readiness to work close to ML workloads and model-serving pipelines
Comfortable building
backend services and REST APIs
Understand
System design
, asynchronous processing, and service integration
Have experience with
Docker
and deploying services in cloud environments
Understand how to build and maintain
CI/CD pipelines
Have hands-on experience with
AWS
or similar cloud platforms
Are comfortable working with
PostgreSQL
Understand logging, monitoring, environment setup, and deployment workflows

➕ Will be a plus:

Experience with
MLOps
or model-serving infrastructure
Experience deploying ML models for inference on
CPU
Familiarity with Python,
FastAPI
,
Spring Boot
, or similar backend frameworks
Experience with
AWS services
or similar
Understanding of
job queues
, background workers, and long-running processing workflows
Familiarity with infrastructure-as-code tools such as
Terraform
or similar
Comfortable working with AI platforms and developer tools such as
Cursor, Claude Code, or Codex

♟️ What We Expect from You:

Use modern AI tools, frameworks, and approaches to work faster and more effectively
Make practical decisions that help us launch faster without unnecessary overengineering
Proactively identify bottlenecks, propose solutions, and help shape technical decisions
Be comfortable working in an evolving product with changing priorities and early-stage ambiguity

🔑 Responsibilities:

Implement and enhance backend services
Actively collaborate with the team lead and team
Maintain the initial
cloud environment
for development, testing, and production
Build and support processing pipelines for model execution and result delivery
Configure logging, monitoring, and basic operational observability
Ensure
the system is reliable, maintainable, and easy to extend
Utilize AI
to review pull requests and contribute to engineering best practices

🍩 What we offer:

Opportunity to work on an innovative product in the medical-tech domain
High
ownership
and direct impact on product architecture
Flexible
work hours within the European time zone
A fast-moving environment where strong engineers can
influence
product and technical decisions
Paid
200$+ AI
assistants and modern engineering tooling
Professional development support, latest courses and certifications
20 business days of vacation
5 sick leave days
National holidays covered

🗣 Recruitment process:

✔️ Technical Task → ☑️ AI Live Coding Task → ✅ Cultural-Fit Interview → 🏁 Offer