Codesmart

Are you ready to take on a new challenge and build something from the ground up? CodeSmart is looking for an experienced PPC specialist  to lead and develop our Google Adwords campaigns from scratch. If you’re excited about creating and optimizing ad strategies with a focus on both US and worldwide traffic, we want to hear from you!

Key Responsibilities:

• Launch and manage Google Adwords campaigns from scratch, establishing a strong foundation for long-term success.
• Develop and execute strategies to drive traffic, mobile app installs, and conversions, focusing on the US market as well as global traffic.
• Collaborate closely with the design team to create compelling ad creatives that resonate with diverse audiences.
• Continuously monitor campaign performance, optimizing for the best possible ROI.
• Conduct keyword research and competitor analysis to refine paid search strategies.

Requirements:

• At least 3 years of experience in Google Adwords management, with proven success in creating and scaling campaigns.
• Experience in launching new campaigns and driving significant growth from the ground up.
• Experience working with US and worldwide traffic and handling mobile ad campaigns.
• Strong collaboration skills, especially when working with design teams to craft engaging ad creatives.
• Data-driven approach to decision-making and optimization.

Nice to Have:

• Familiarity with additional ad platforms like Facebook Ads or TikTok Ads.

Why Join Us?

• Remote work with flexible hours: Enjoy the freedom to work from anywhere and plan your own schedule.
• Be part of an innovative team where your ideas and creativity are encouraged.
• Opportunities for professional growth and development, with access to continuous learning.
• Competitive compensation and a supportive, collaborative work environment.

If you’re ready to build and optimize Adwords campaigns from scratch while collaborating with a talented team, we’d love to see your application.

To apply, please send your CV, a cover letter, and relevant work samples that highlight your expertise in Adwords and campaign development.

Amplifier AI is building a next-generation surgical planning platform - powered by our own imaging, segmentation, and 3D measurement engine.

We’re a small, no-bullshit team of data scientists, radiologists, developers, and serial entrepreneurs with successful exits - from Ukraine and across Europe. We care about precision, reproducibility, and building tools that actually help doctors plan safer surgeries.

If you love clean Python, 3D geometry, and the smell of medical DICOMs in the morning - read on.

Why Amplifier

Real impact: Your work will directly improve surgical planning and patient outcomes.
Mentorship: A rare chance to dive deep into medical imaging while apprenticing with the CTO.
Growth: Competitive salary and opportunity to get stock options.
Team: A thoughtful, senior, multinational crew of engineers, data scientists, and clinicians - all united by curiosity and precision.

How We Work

Remote: Yes
Time: Flexible, with EU overlap
Communication: Ukrainian, English
Mindset: Precision, curiosity, no corporate BS

And let’s be honest:

• There’s micromanagement - not out of control, but you will get code reviews that feel like philosophy exams.
• Deadlines are brutal. We ship fast because hospitals and surgeries don’t wait.
• Priorities may change overnight. Clinical partners and real-world data tend to break plans.
   

But every time you push a fix that makes a surgery safer, you remember why it’s worth it.
We’re not building “AI for fun.” We’re helping doctors save lives.
Welcome to the hellishly good team.
 

What You’ll Work On

You’ll join the team behind our internal Python library that powers all 3D reconstruction and measurement logic for CT-based clinical workflows.
 

Your playground includes:

• SimpleITK & DICOM: Reading DICOM series, validating LPS origins/directions, resampling safely, and maintaining voxel ↔ physical transforms.
• VTK & Geometry: Generating surfaces from labels, computing distances, intersections, and clipping; exporting nearest-point markers and reliable STL files.
• Measurement & QA logic: Building robust procedural tools that make radiologists’ lives easier (and their reports cleaner).
• Pipeline reliability: Tuning performance, adding structured logging, and ensuring everything survives real hospital data.

Our Stack

Core: Python 3.10+, SimpleITK, VTK, NumPy/SciPy, Pydantic
ML: PyTorch, nnU-Net (for segmentation & experiments)
Tooling: pytest, mypy (strict), ruff, pre-commit, Docker, GitHub Actions, Git LFS, Sentry

We write clean, typed code. Reproducibility matters. And we prefer simple, readable solutions over “clever” ones.

What We’re Looking For

We’re not hiring for a specific seniority level.
We’re hiring thinkers - people who love solving problems and aren’t afraid to go deep into geometry, image transforms, and pixel-level precision.

You’ll thrive if you:

• Write clean, modular Python code.
• Understand how DICOMs work in 3D - origin, spacing, direction, resampling.
• Know the difference between voxel and physical space, and how to transform between them.
• Enjoy debugging weird edge cases and care about correctness.
• Can explain things clearly in English (we love docstrings and discussions).
   

If you’ve worked with SimpleITK, VTK, or PyTorch, that’s a strong plus.
If not - we’ll teach you. We’ve built internal training pipelines and mentoring for people who think fast and learn faster.

Nice to Have

• Experience with VTK surface/volume rendering or pipeline optimization.
• Background in ML segmentation (Dice, Hausdorff, nnU-Net).
• Curiosity about GPU acceleration and large-volume performance.
   

Example Challenges

• Build a robust distance-measurement tool between anatomical segmentations, with exportable nearest-point STL markers.
• Extract centerlines and landmarks from noisy CT scans.
• Enforce consistent spacing/origin/direction when combining data from different scanners and protocols.
   

If these sound fun rather than scary, you’ll fit right in.

How to Apply

Send us:

• Your CV or LinkedIn
• Your GitHub or portfolio (we care more about code than titles)
• A few lines about what you’ve built with Python, and - if you’ve touched SimpleITK or VTK - tell us briefly how.
   

A Note from Us

We’re Ukrainian engineers building something that blends science and purpose.
Our tools help radiologists and surgeons plan procedures that save lives.
We don’t do hype. We build things that work - and we’ll help you grow into an expert if you bring curiosity and grit.

“CodeSmart” Software Engineering Artel is looking for a Middle Backend Java Developer to join our growing team. Under the supervision of the Engineering Manager, you will be responsible for designing, implementing, and maintaining scalable microservices for non-game products. You will work closely with cross-functional teams to ensure seamless integration, robust performance, and top-notch reliability in our applications.

What You Will Do

• Design & Implement Microservices using Java (8+) and Spring Boot frameworks, ensuring high performance and reliability.
• Collaborate with Cross-Functional Teams (QA, Product, DevOps) to troubleshoot, refine requirements, and deliver robust solutions.
• Develop Database Interactions using JDBC, JPA, and modern persistence frameworks.
• Containerize services using Docker and Kubernetes for highly scalable deployments.

Must-Have Requirements

1. Core Java
   • Solid understanding of types, classes, exceptions, collections, and concurrency (multithreading).
   • 4+ years of commercial experience with Java (version 8+).
2. Design Patterns & Refactoring
   • Proven ability to apply common design patterns (e.g., Singleton, Factory, Observer, Strategy)
   • Experience in refactoring legacy code to improve maintainability and performance.
3. Database + JDBC + JPA
   • Familiar with DDL and DML operations, table relationships, and ACID properties.
   • Experience with JDBC: statement, prepared statement, callable statement.
   • Understanding of JPA: entities, EntityManager, EntityManagerFactory, and uni-/bi-directional relationships.
4. Spring Ecosystem
   • Spring Core (DI, IoC): Clear understanding of dependency injection and inversion of control.
   • Spring Security: Basic authentication/authorization principles and secure REST APIs.
   • Spring AOP: Familiarity with aspect-oriented programming for cross-cutting concerns.
   • Spring Data: Experience with Spring Data JPA or similar for data access.
   • Spring Integration: Knowledge of enterprise integration patterns within Spring.
   • Spring Web (Servlet API + Filters): Building RESTful services and handling web requests.
   • Spring Cloud: Familiarity with service discovery, configuration, and distributed tracing.
5. Netflix OSS
   • Hands-on experience with Eureka, Ribbon, Hystrix, etc. for service discovery, client-side load balancing, and resilience.
6. Docker & Kubernetes
   • Ability to containerize applications using Docker.
   • Deploy microservices on Kubernetes (k8s) for orchestration at scale.
7. CI/CD Pipelines
   • Proficiency with automated build and deployment pipelines (e.g., Jenkins, GitLab, GitHub Actions).
8. AWS Cloud Services
   • Practical experience with AWS (EC2, S3, RDS, or other services) to host and manage applications.

Nice to Have

• Monitoring & Logging: Experience with Prometheus, Grafana, ELK stack, or similar.
• Testing Best Practices: Familiarity with TDD/BDD frameworks like JUnit, Mockito, Cucumber.
• Security & Performance: Basic knowledge of securing REST APIs and performance tuning in distributed environments.
• Analytical Mindset: Strong debugging and problem-solving attitude to optimize system performance and reliability.

Why Us

• Cutting-Edge Technologies: Work with a multi-national team of experienced software engineers building high-demand, high-tech products.
• Full Remote Work: Enjoy the flexibility of working from anywhere—offices available in Lisbon and San Francisco if you prefer on-site.
• Result-Driven Organization: Outcomes over processes—no micromanagement, just the freedom to deliver great solutions.
• Flexible Working Hours: Define a schedule that best fits your productivity.
• Competitive Compensation: We offer a market-leading salary and benefits package.

“CodeSmart” Software Engineering Artel is looking for an experienced Senior Backend Java Engineer to join our high-performance engineering team. In this role, you will drive architecture decisions, lead development of scalable microservices, and ensure the technical excellence of our non-game products. You will collaborate closely with product, DevOps, and engineering leadership to influence system design, optimize performance, and uphold best practices across the platform.

What You Will Do

• Architect & Develop Distributed Microservices using Java (8+) and Spring Boot, ensuring system scalability, high availability, and fault tolerance.
   
• Lead Technical Decisions across the backend stack, including design patterns, integration strategies, data models, and service communication.
   
• Mentor and Guide Team Members, set engineering standards, and review code to ensure quality and consistency.
   
• Optimize System Performance through deep profiling, load analysis, and refactoring of critical components.
   
• Collaborate with Cross-Functional Teams (QA, Product, DevOps) to drive technical alignment, resolve complex issues, and deliver high-impact features.
   
• Design & Maintain Database Layers, including optimized query design, indexing strategies, and efficient JPA usage.
   
• Containerize & Orchestrate Services using Docker and Kubernetes for resilient, scalable deployments.
   
• Own CI/CD & Cloud Deployment Strategies to streamline releases and improve reliability.
   

Must-Have Requirements

1. Core Java Expertise

• Deep understanding of collections, concurrency, JVM internals, and performance tuning.
   
• 7+ years of commercial experience with Java (8+).
  
   

2. Advanced Design & Architecture

• Strong command of design patterns, enterprise architecture, and modular system design.
   
• Proven experience refactoring or re-architecting legacy systems at scale.
  
   

3. Databases & Persistence

• Advanced SQL knowledge: schema design, normalization, relationships, and ACID principles.
   
• Expert experience with JDBC, JPA/Hibernate, entity modeling, and performance tuning.
  
   

4. Senior-Level Spring Ecosystem Knowledge

• Spring Core (DI, IoC), AOP, Security, Data JPA, Web, and Integration frameworks.
   
• Experience with Spring Cloud: service discovery, config, load balancing, distributed tracing.
   
• Ability to design secure, modular, and scalable REST APIs.
  
   

5. Netflix OSS & Distributed Systems

• Hands-on experience with Eureka, Ribbon, Hystrix, or modern equivalents.
   
• Strong understanding of resilience patterns (circuit breakers, retries, bulkheads, rate limiting).
  
   

6. Docker & Kubernetes

• Proficiency in containerization, multi-stage builds, K8s deployments, and Helm (optional).
   
• Ability to design scalable, production-grade deployment pipelines.
  
   

7. CI/CD Automation

• Experience with modern CI/CD systems (Jenkins, GitLab CI, GitHub Actions).
   
• Experience automating testing, deployments, and environment management.
  
   

8. AWS Cloud Expertise

• Practical experience with AWS services (EC2, ECS/EKS)