Jobs

We are looking for a skilled and proactive Senior Full-Stack Developer to join our partner company, Investing.com — one of the world’s leading financial platforms with millions of users globally.
 

In this role, you will work on high-scale web applications, taking full ownership of features from design to production. You will contribute to building reliable, scalable, and high-performance systems used by millions of users worldwide, while collaborating closely with cross-functional teams in a fast-paced, product-oriented environment.

    Requirements:

• 5+ years of hands-on experience in software development
• Strong backend development experience with Node.js
• At least 2+ years of experience working with React
• Proven experience building and maintaining production systems at scale
• Strong knowledge of SQL databases (e.g., PostgreSQL, MySQL)
• Experience with caching solutions (e.g., Redis, Memcached)
• Experience working in cloud environments (preferably GCP)
• Experience with Docker and CI/CD pipelines
• Solid understanding of system design, scalability, and performance optimization
• Experience working in microservices architecture
• Familiarity with Agile methodologies
• Strong ownership mindset and ability to work independently
  
  Nice to have:
• Experience with Go
• Experience working with AI tools as part of daily workflow
  
  Soft skills:
• Strong communication, teamwork, and problem-solving skills
• Proactive and independent working style
• Motivation to take ownership and drive initiatives

• Natural leadership mindset with the ability to mentor others

  
  Additional requirements:

• Upper-Intermediate (B2+) or higher level of English
• Availability to work within European / Israel time zones

Automat-it is an all-in AWS Premier Partner and Managed Services Provider specializing in the startup ecosystem. With over 800 customers and 500+ AWS certifications, Automat-it brings hands-on expertise in AI, DevOps, and FinOps to empower fast-paced startups to grow, deliver & win. Our customers save significant time-to-market and optimize their cloud performance and costs.

We work across EMEA and the US, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.

We seek a DevOps Team Lead to anchor the expansion of our EU-based engineering team. You will mentor and coach a team of DevOps engineers while rolling up your sleeves to architect and deliver best-in-class infrastructure solutions for high-growth startups. This is a leadership role with real technical depth. You'll shape how we build, and you'll be accountable for the quality of what we deliver.

If you are interested in this opportunity, please submit your CV in English.

Work location - Remote from Ukraine.

Key Responsibilities

• Lead and manage a team of 6–8 DevOps Engineers, ensuring on-time, high-quality project deliveries
• Define and participate in creating architecture and designs for infrastructure and CI/CD solutions
• Conduct code reviews, hands-on coaching, and enforce technical best practices across the team
• Manage and track Statements of Work (SoWs) in collaboration with customers, PMO, and leadership
• Provide hands-on guidance on complex elements of build automation, continuous deployment, and IaC
• Facilitate transparent communication between the team and customers
• Manage estimations for pre-sale and sale stages

• Drive continuous learning within the team, including staying current with AI-assisted development practices using tools like GitHub Copilot, Amazon Q, or Cursor to accelerate infrastructure-as-code delivery and code reviews

   

Requirements

• Proven experience successfully leading IT projects from inception to delivery
• 2+ years of Team Lead (or similar) experience managing DevOps and/or SysAdmin teams
• 5+ years of hands-on AWS infrastructure experience; AWS certification is a plus
• 5+ years of experience with Docker, Kubernetes, and Infrastructure as Code (Terraform, CloudFormation, etc.)
• Familiarity with Configuration Management tools (Ansible, Puppet, Chef, etc.)
• Experience with CI/CD tools (Jenkins, GitHub Actions, etc.)
• Solid Linux OS and networking knowledge
• Fluent written and verbal communication in English
• Strong task management and organizational skills

• Hands-on experience with AI-assisted dev tools (GitHub Copilot, Amazon Q, Cursor) to accelerate IaC and code reviews

   

Why join Automat-it?

• Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
• International work environment
• Referral program – enjoy cooperation with your colleagues and get a bonus
• Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
• English classes
• Soft skills training

• Country-specific benefits will be discussed during the hiring process.

   

Country-specific benefits will be discussed during the hiring process.

Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognizing the value you bring to our team.

On behalf of our Client from Canada, Mobilunity is looking for a Full Stack Java Developer.

Our Client is a technology company focused on automating customs and freight logistics processes. The company’s main goal is to help customs brokers, freight forwarders, and importers simplify and optimize cross-border trade through modern, cloud-based solutions and well-structured APIs.

They are seeking a talented and experienced Full Stack Java Developer to join its fully remote team. You will play a key role in designing, developing, and maintaining a next-generation cloud-native SaaS platform for customs brokers and freight forwarders in North America. This is an exciting opportunity to contribute to a fast-paced development environment focused on high-quality design and clean code, using modern Java technologies and a service-based architecture.

Key Responsibilities:

• Design, develop, and implement new features across the full stack, including UI, backend server-side code, and functional concepts
• Work within a modular monolith architecture based on OSGI
• Ensure high performance, scalability, and security of applications
• Collaborate closely with product, design, and support teams to define and deliver new product capabilities
• Write and maintain comprehensive automated test units

Required Skills and Experience:

• 5+ years of professional experience in Full Stack Development
• Expertise in Java (preferably Java 21+)
• Strong working knowledge of Backend Server-Side development
• Experience with Service-Based Architectures (ideally OSGI/Bnd)
• Proficiency in modern UI Design/Development (e.g., Eclipse SWT or equivalent thick client/desktop application experience is a plus)
• Experience with PostgreSQL or other relational databases
• Working knowledge of developing automated test units using frameworks like JUnit/Mockito
• Familiarity with version control systems, particularly Git (GitHub)
• Ability to work independently and excel in a collaborative team environment
• At least Upper-Intermediate level of English

Nice-to-Have skills:

• Experience with reactive programming ,RXJava
• Experience using AI-powered coding tools like CoPilot

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the client:
The company is a trailblazer in the world of data-driven advertising, known for its innovative approach to optimizing ad placements and campaign effectiveness through advanced analytics and machine learning techniques. Our mission is to revolutionize the advertising sector by enabling brands to reach their audiences more effectively.

About the role:
We are seeking an experienced and motivated Senior Data Scientist to join our dynamic team. The ideal candidate will have deep expertise in supervised learning, reinforcement learning, and optimization techniques. You will play a pivotal role in developing and implementing advanced machine learning models, driving actionable insights, and optimizing our advertising solutions.
This position is based in Ukraine. The team primarily works remotely, with occasional in-person meetings in the Kyiv or Lviv office.

Responsibilities:
- Develop and implement advanced supervised and reinforcement learning models to improve ad targeting and campaign performance.
- Collaborate with cross-functional teams to identify opportunities for leveraging machine learning and optimization techniques to solve business problems.
- Conduct extensive data analysis and feature engineering to prepare datasets for machine learning tasks.
- Apply optimization algorithms to enhance the effectiveness and efficiency of advertising campaigns.
- Evaluate and refine existing models to enhance their accuracy, efficiency, and scalability.
- Utilize statistical techniques and machine learning algorithms to analyze large and complex datasets.
- Communicate findings and recommendations effectively to both technical and non-technical stakeholders.
- Stay updated with the latest advancements in machine learning, reinforcement learning, and optimization techniques.
- Work with engineering teams to integrate models into production systems.
- Monitor, troubleshoot, and improve the performance of deployed models.
- Mentor junior data scientists and contribute to the continuous improvement of the data science practice within the company.

Requirements:
- 5+ years of experience in data science or machine learning roles, with a strong focus on supervised learning, reinforcement learning, and optimization techniques.
- Technical Skills:
- Proficiency in Python.
- Strong understanding of working with relational databases and SQL.
- Experience with machine learning libraries such as scikit-learn, TensorFlow, PyTorch, or similar.
- Deep understanding of statistical modeling and supervised learning algorithms (e.g., linear regression, logistic regression, decision trees, random forests, SVMs, gradient boosting, neural networks).
- Hands-on experience with reinforcement learning algorithms and frameworks like OpenAI Gym.
- Practical experience with optimization algorithms (linear, non-linear, combinatorial, etc.).
- Hands-on experience with data manipulation tools and libraries (e.g., pandas, NumPy).
- Familiarity with cloud services, specifically AWS, is a plus.
- Practical experience building and managing cloud-based ML pipelines using AWS services (e.g. SageMaker, Bedrock) is a plus.
- Education:
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field. A PhD is a plus.

Other Skills:
- Strong analytical and problem-solving skills.
- Excellent communication skills, with the ability to clearly articulate complex concepts to diverse audiences.
- Ability to work in a fast-paced environment and manage multiple priorities.
- Strong organizational skills and attention to detail.
- Ability to mentor and guide junior data scientists.
- Must be able to communicate with U.S.-based teams

The company offers:
- An opportunity to be at the forefront of advertising technology, impacting major marketing decisions.
- A collaborative, innovative environment where your contributions make a difference.
- The chance to work with a passionate team of data scientists, engineers, product managers, and designers.
- A culture that values learning, growth, and the pursuit of excellence.

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the client:
Our client is an IT company that develops technological solutions and products to help companies reach their full potential and meet the needs of their users. The team comprises over 600 specialists in IT and Digital, with solid expertise in various technology stacks necessary for creating complex solutions.

About the role:
We are seeking an experienced Data Scientist with a passion for large language models (LLMs) and cutting-edge AI research. In this role, you will design and prototype data preparation pipelines, collaborating closely with data engineers to transform your prototypes into scalable production pipelines, design and implement a state-of-the-art evaluation and benchmarking framework to measure and guide model quality, and do end-to-end LLMs training. You will work alongside top AI researchers and engineers, ensuring our models are not only powerful but also aligned with user needs, cultural context, and ethical standards.

Responsibilities:
- Curation of datasets for pre-training, supervised fine-tuning, and alignment
- Research and develop best practices and novel techniques in LLM training and evaluation pipelines.
- Collaborate closely with data engineers, annotators, linguists, and domain experts to scale data processes, define evaluation tasks and collect high-quality feedback.

Requirements:
Education & Experience:
- 3+ years of experience in Data Science or Machine Learning, preferably with a focus on NLP.
- An advanced degree (Master’s or PhD) in Computer Science, Computational Linguistics, Machine Learning, or a related field is highly preferred.
GenAI & NLP Expertise:
- Practical experience with fine-tuning LLMs / VLMs models
- Hands-on experience with modern NLP approaches, including embedding models, semantic search, text classification, sequence tagging (NER), transformers/LLMs, RAGs.
ML & Programming Skills:
- Strong experience with deep learning frameworks such as PyTorch or JAX for building models.
- Ability to write efficient, clean code and debug complex model issues.

Nice-to-have:
Advanced NLP/ML Techniques:
- Applied experience using Reinforcement Learning in NLP / LLM settings
- Prior work on LLM safety, fairness, and bias mitigation.
- Experience generating and curating synthetic datasets for Supervised Fine-Tuning (SFT), including quality control and scaling considerations.
Research & Community:
- Publications in NLP/ML conferences or contributions to open-source NLP projects.
- Active participation in the AI community or demonstrated continuous learning (e.g., Kaggle competitions, research collaborations) indicates a passion for staying at the forefront of the field.
MLOps & Infrastructure:
- Hands-on experience with containerization (Docker) and orchestration (Kubernetes) for ML, as well as ML workflow tools (MLflow, Airflow).
- Experience in working alongside MLOps engineers to streamline the deployment and monitoring of NLP models.
- Experience with cloud platforms (AWS, GCP, or Azure) and big data technologies (Spark, Hadoop, Ray, Dask) for scaling data processing or model training is a plus.
Problem-Solving:
- Innovative mindset with the ability to approach open-ended AI problems creatively.
- Comfort in a fast-paced R&D environment where you can adapt to new challenges, propose solutions, and drive them to implementation

The company offers:
- Office or remote — it’s up to you. You can work from anywhere, and we will arrange your workplace
- Remote onboarding
- We train employees with the opportunity to learn through the company’s library, internal resources, and programs from partners
- Health and life insurance
- Wellbeing program and corporate psychologist
- Reimbursement of expenses for Kyivstar mobile communication

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the role:
We are looking for a hands-on Sr. Machine Learning / Computer Vision Engineer with strong practical experience in designing, training, evaluating, and improving vision systems for real-world applications. The ideal candidate combines solid theoretical ML/CV fundamentals with an engineering mindset and is comfortable taking ownership of the full pipeline, from data preparation and experimentation to model optimization and deployment.

Responsibilities:
- Design, train, evaluate, and improve machine learning and computer vision models for real-world production use cases
- Build and maintain end-to-end ML pipelines, including data collection support, preprocessing, feature engineering, training, validation, and inference
- Develop solutions across both computer vision and machine learning tasks depending on business needs
- Perform error analysis, diagnose model weaknesses, and drive improvements in accuracy, robustness, and reliability
- Select and justify appropriate methods and model architectures based on dataset characteristics, product constraints, and deployment requirements
- Work with challenging real-world data, including noisy, limited, imbalanced, or weakly labeled datasets
- Collaborate with engineering and product teams to translate business problems into practical ML solutions
- Contribute to production-ready development with a focus on maintainability, reproducibility, and performance

Requirements:
- 3–5+ years of professional experience in Machine Learning / Computer Vision
- Strong senior-level practical expertise in computer vision, machine learning, and applied model development
- Hands-on experience with tasks such as object detection, image classification, anomaly detection, feature-based approaches, or similar
- Solid understanding of classical ML methods, including tree-based models, linear models, feature engineering, model selection, and evaluation
- Strong Python skills and practical experience with PyTorch, OpenCV, and common ML tooling
- Experience building full ML workflows including data preparation, augmentation, preprocessing, training, validation, testing, and deployment handoff
- Strong understanding of model evaluation, debugging, overfitting, generalization, optimization, and experiment-driven improvement
- Ability to write clean, modular, maintainable code and independently own technical solutions
- Strong analytical thinking, engineering maturity, and problem-solving skills

Nice to Have:
- Experience in adjacent ML domains such as time-series, audio, or NLP
- Experience with embedding-based methods, metric learning, retrieval systems, or memory-bank approaches
- Practical experience with model optimization techniques such as quantization, pruning, distillation, or related efficiency-focused approaches
- Experience working with real-world industrial datasets and ambiguous problem formulations
- Knowledge of software engineering best practices, reproducible experimentation, and pipeline design

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.

About the Client
Our client is a UK-based company operating a live B2B SaaS multi-module platform which is already serving paying users. They are currently undergoing a structured transition from a rapidly AI-prototyped codebase (using Lovable.ai) to a production-grade solution — built for long-term scalability and maintainability.

Job Description
We are looking for a Senior React / Supabase / TypeScript Developer who will take ownership of refactoring and hardening an existing SaaS platform. The core product logic, UI, and data layer are functional — this is not a rebuild. The goal is to elevate code quality, architecture, and operational reliability to production standards.

Stack

• Frontend: React 18, TypeScript, Vite, Tailwind CSS, shadcn/ui, React Router.
• Backend: Supabase (PostgreSQL, RLS, Deno Edge Functions, Auth, Realtime).
• Payments: Stripe (subscriptions, webhooks, metered billing).
• Auth: Google OAuth via Supabase Auth.
• Deployment: Currently Lovable Cloud (migration to Vercel or similar is in scope).
• AI Layer: External LLM API calls orchestrated through Edge Functions (you won’t need to write prompts, but you will need to understand and refactor the function architecture around them).

Scope of Work
The engagement is structured across three sequential phases.
Phase 1 — Audit & Architecture Proposal. Full codebase audit with a written proposal and prioritised recommendations. Sign-off from the client required before proceeding to Phase 2.
Phase 2 — Refactor & Harden. Systematic refactoring of the frontend architecture, Edge Functions, RLS policies, Stripe integration, and performance optimisation.
Phase 3 — Testing & CI/CD. Test coverage for critical paths, CI/CD pipeline setup, staging and production environments, and technical documentation for team onboarding.

Engagement & Payment
This is hourly, project-based engagement. Phase 1 is scoped as a standalone paid deliverable — upon successful completion, we move forward with Phases 2 and 3.

Requirements

• Proven experience refactoring an AI-generated or rapidly prototyped React + Supabase codebase to production grade — mandatory.
• Strong expertise in React 18, TypeScript, and component architecture patterns.
• Deep hands-on knowledge of Supabase: RLS policies, Deno Edge Functions, Auth, and Realtime.
• Experience with Stripe billing integrations (subscriptions, webhooks, lifecycle events).
• Familiarity with Vite, shadcn/ui, Tailwind CSS, and React Router
• Experience setting up CI/CD with GitHub Actions and modern deployment platforms (Vercel or similar).
• English — B2+ (working proficiency required for client communication).

Send us your CV — we'll be happy to work together!

We are looking for a talented Blockchain Engineer to design, develop, and maintain internal platforms, with a primary focus on backend development using Node.js.

In this role, you will also contribute to front-end features and blockchain-integrated systems. You will be responsible for building scalable services, integrating Web3 technologies, and supporting workflows for decentralized applications.

Responsibilities:

• Design and develop backend services using Node.js
• Integrate blockchain/Web3 technologies into existing systems
• Build and maintain scalable APIs and microservices
• Collaborate on front-end features when needed

• Ensure performance, security, and reliability of applications

   

Requirements:

• 5+ years of experience in software development
• Strong experience with Node.js
• Experience with blockchain technologies (Ethereum, smart contracts, Web3.js, etc.)
• Understanding of decentralized applications (dApps)
• Experience with REST APIs and microservices architecture

• Basic front-end knowledge (React or similar)

   

Nice to have:

• Experience with Solidity
• Experience with DeFi / NFT projects

• Familiarity with cloud platforms (AWS, GCP)

   

We offer:

• Remote-friendly environment
• Competitive compensation
• Work on innovative Web3 products

JD:
In a partnership with one of global consulting companies, we are searching for a Principal Software Engineer In Test. The client is a UK-based telecommunication company.

Responsibilities:

Maintain the quality of the company’s Customer Data Platform (CDP) by validating accuracy, performance, consistency, and reliability. T

his involves working across internal and external teams to ensure the platform continues to operate effectively.

Testing multiple third party integrations along with company teams.

Our CDP is powered by AWS Redshift, mParticle, and Airship, and the testing will focus on ensuring seamless data ingestion, transformation and storage.

Requirements:

·      Expertise of 10+ years with key data and platform testing practices, including schema validation, data integrity, performance, security testing, and notification validation.

·      Experienced in building Test Automation Frameworks and test suites, following industry best practices.

·      Experience in non-functional testing.

·      Excellent proactive communication skills and confidence working with stakeholders in multiple locations and part of an Agile team.

We are looking for a Senior Data Scientist with strong technical expertise and a practical mindset to work on complex data-driven challenges. In this role, you will design and implement ML and GenAI solutions, experiment with modern approaches, and transform ambiguous business problems into scalable, production-ready systems.

Requirements
Must-have

• 4+ years of experience in Data Science
• 4+ years of hands-on experience with Python
• Strong understanding of Machine Learning fundamentals, including:
  • regression and classification models
  • feature engineering and model evaluation
• Practical experience with LLMs and GenAI, including:
  • GPT / ChatGPT or similar LLMs
  • LangChain
  • Retrieval-Augmented Generation (RAG)
• Experience with EDA, data preprocessing, and basic dimensionality reduction (e.g. PCA)
• Hands-on experience with tree-based models (e.g. XGBoost)
• Experience building scalable and high-load solutions
• Ability to write clean, maintainable code
• Participation in technical and architectural decisions
  
  Nice to have
• Experience with NLP libraries (SpaCy, Hugging Face)
• Understanding of Explainable AI (XAI) and model interpretability
• Experience with cloud platforms (AWS / GCP / Azure)
• Ability to translate business problems into ML solutions

• Background in R&D, experimentation, or prototyping

  
  Key Responsibilities

• Develop AI agents that utilize LLM, RAG and langchain approach;
• Implement LLM and Diffusion models to boost business productivity;
• Utilize LLM (LLM Vision) to improve object detection, text classification and extraction;
• Create forecasting, recommendation, and classification models;
• Transform business challenges to AI applications;
• Conduct R&D activities: explore new ML/GenAI techniques and assess their practical impact.
• Collaborate with engineering, product, and business teams to deliver impactful data-driven solutions.
  
  We offer:
• Great networking opportunities with international clients, challenging tasks;
• Building interesting projects from scratch using new technologies;
• Personal and professional development opportunities;
• Competitive salary nominated in USD;
• Paid vacation and sick leaves;
• Flexible work schedule;
• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

   

We are looking for a Senior Full-stack .NET Engineer with Blazor to join our team. 

Our Client is a leading provider of automated storage and logistics systems. Together with N-iX and client engineers, you will work on developing a comprehensive, scalable, and efficient solution to meet the evolving needs of modern warehouse management, ensuring a robust, future-proof operational environment.

Responsibilities:

• Actively engaging in development meetings to stay abreast of new technologies and understand the company's vision and objectives.
• Playing a key role in technical planning meetings, collaborating with colleagues to discuss user stories and decompose tasks with the end result in mind.
• Ensuring the delivery of high-quality products through meticulous practices such as documentation, code reviews, unit tests, API tests, and comprehensive monitoring.
• Collaborating closely with the product manager to ensure the team's clear understanding of the project's purpose.
• Proactively escalating issues to the Head of Development when assistance is required.
• Aligning with the team's goals during daily stand-up meetings.
• Advocating for improvement suggestions during retrospective meetings that lead to positive changes.

Requirements:

• Strong proficiency in C#, .NET Core, and .NET Framework - 5+ years of experience
• Experience with the Blazor framework
• Solid understanding of Clean Code, DDD, and CQRS principles
• Practical knowledge of CI/CD pipelines
• Experience with PostgreSQL and SQLite
• Hands-on familiarity with Docker
• Knowledge of RabbitMQ and MassTransit
• Practical experience with gRPC
• Strong skills in Unit Testing and Integration Testing
• Proficiency with Git
• English level - Upper-intermediate+

We are searching a Senior .NET developer for one of the client for Outsourcing Company

Technical Skills
▪️ Expert (10+ years) C#.NET experience and expertise;
▪️ Understanding of how to apply microservice architectures successfully, with expert knowledge of many patterns and techniques, including the tradeoffs of each. Experience working with microservices in more than one context;
▪️ Significant (2+ years) experience with event-driven architectures and event streaming/messaging tools like Kafka (preferred), Pulsar, RabbitMQ, etc.;
▪️ Experience using NoSQL databases - ElasticSearch (preferred), Dynamo, MongoDB, Redis, etc. Understanding of which database is best deployed depending on the use case.;
▪️ Proven ability to identify opportunities for best practice improvements and drive change across multiple teams;
▪️ Ability to tackle the most complex technical problems independently;
▪️ Evidence of driving complex technical decisions involving multiple stakeholders in critical areas;
▪️ Ability to pre-empt technical risks, raise awareness, and coordinate mitigation of the risk;
▪️ Track record of quickly learning about complex architectures and code-bases and becoming an expert;
▪️ Strong knowledge of deploying and scaling cloud applications, including use of containerization (Docker) and orchestration (Kubernetes);
▪️ Experience working in an Agile environment;
▪️ Technical leadership experience (3+ years), including mentoring other engineers. Examples could include leading projects or initiatives, leading a team, organizing engineering community events, etc.;

About the client:

Our customer is the European online car market, with over 30 million monthly users and a presence in 18 countries. As a Lead FullStack Engineer, you will play a pivotal role in shaping the future of online car markets and enhancing the user experience for millions of car buyers and sellers.

Responsibilities:

• Continue the evolution and scaling of our freshly released, native ChatGPT apps and custom MCP integrations.
• Develop and maintain high-traffic, public-facing interfaces hosted on AWS modern cloud infrastructure.
• Work heavily with AI agents (Claude Code, ChatGPT/Codex) to maintain and extend a codebase 
• Operate with full team autonomy, collaborating closely with the Engineering Manager in a "co-author" environment.
• Follow the "you-build-it-you-own-it" philosophy, taking full responsibility for the SDLC and production readiness.
• Explore and implement emerging AI frameworks and technologies to keep the product at the forefront of the GenAI market.

Requirements:

• 7+ years of experience developing reliable, highly available, and scalable software systems.
• Strong experience working with AI agents (Claude Code, ChatGPT/Codex) to maintain and extend a codebase 
• Strong proficiency with backend development using Node.js and TypeScript.
• Deep experience with Model Context Protocols (MCP).
• Proven track record of using AI tooling (ChatGPT, Codex, Claude Code) for rapid operator-driven development.
• Hands-on experience with modern cloud infrastructures, specifically AWS, Terraform, and Docker.
• Strong proficiency with frontend development (HTML, CSS, JavaScript) and component-based SSR frameworks like Next.js or React.
• Experience with SQL and NoSQL datastores, as well as developing in service-based API environments.
• Strong understanding of software architecture, design patterns, and clean code principles.
• A modern, energetic mindset with critical thinking and systemic vision skills, the ability to work independently and take high-level ownership.
• Experience with formal CI/CD pipelines and monitoring services.
• At least Upper-intermediate English level.

RedCore is an international business group that creates technological solutions for digital markets. 

Our products and services cover fintech, marketing, e-commerce, customer service, communications, and regulatory technologies.

Powering Growth from the Core — this is the key mission laid under RedCore’s strong foundation. This is how we consistently stay ahead: by evolving and creating scalable solutions, while remaining committed to open and transparent communication with our partners.

We are looking for a Product Manager Sports!

Requirements:

- 3+ years of experience in Product Management.
- Strong understanding of product and business metrics and ability to work with data independently.

- Experience in Sports/iGaming domain is a plus but not mandatory.
- Strong knowledge of prioritization frameworks and practical experience applying them to product decision-making.
- High level of ownership and proactivity.
- Ability to operate autonomously and manage multiple parallel initiatives.

Responsibilities:

- Own operational tasks within the Sports domain, including product metrics monitoring, incident management audit, and timely communication of product and process changes to stakeholders.
- Lead the end-to-end operational launch and ongoing support of new licenses, from business request to production, coordinating cross-functional teams and external stakeholders.
- Manage and support 3rd party integrations (Fantasy Sports, Sports Lotteries), ensuring stability, SLA compliance, and alignment with business objectives.

- Act as the primary point of contact for external stakeholders, facilitating meetings, collecting requests, analyzing their business impact, and prioritizing them according to product strategy and operational capacity.
- Own and improve internal admin systems, including Backoffice 2.0 migration and continuous enhancement of sportsbook admin tools.
- Deliver small-to-mid size sportsbook features, conduct competitor analysis, and continuously generate and validate new product hypotheses.

Our benefits to you:
- Modern corporate equipment based on macOS or Windows and additional equipment are provided
- Paid vacations, sick leave, personal events days, days off
- Referral program — enjoy cooperation with your colleagues and get the bonus
- Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences
- Rewards program for mentoring and coaching colleagues
- Free internal English courses
- In-house Travel Service
- Multiple internal activities
- Other benefits could be added based on your location

N-iX is looking for a Lead Machine Learning Engineer (Computer Vision) to join our external expert network.

We are looking for a Lead-level ML expert who will support our hiring process by conducting technical interviews and evaluating candidates according to our internal competency matrix. This is not a full-time project role, but a flexible collaboration where you will participate in technical interviews when needed.

Responsibilities:

• Conduct technical interviews for ML / Computer Vision candidates
• Evaluate candidates according to the competency matrix
• Assess both practical experience and theoretical knowledge
• Provide clear and structured feedback after interviews
• Validate real-world experience in building and deploying ML solutions

 Requirements:

• 6+ years of experience in Machine Learning / Computer Vision
• Experience taking ownership of technical solutions (design, decision-making, mentoring, or leading initiatives)
• Strong hands-on engineering background
• Experience working with production ML systems
• Upper-Intermediate English or higher
  Strong hands-on experience with PyTorch or TensorFlow
• Solid understanding of end-to-end ML lifecycle
  Experience with model deployment and inference optimization
• Experience with experiment tracking tools
  (MLflow, Weights & Biases, DVC, or similar)
• Understanding of distributed training concepts