Jobs at Djinni

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the role:
We are looking for a Computer Vision / Machine Learning Engineer to develop offline CV models for industrial visual inspection.

Your main task will be to design, train, and evaluate models on inspection data in order to:

• Improve discrimination between good vs. defect samples
• Provide insights into key defect categories (e.g., terminal electrode irregularities, surface chipping)
• Significantly reduce false-positive rates, optimizing for either precision, or recall
• Prepare the solution for future deployment, scaling, and maintenance
•  

Key Responsibilities:
Data Analysis & Preparation
- Conduct dataset audits, including class balance checks and sample quality reviews
- Identify low-frequency defect classes and outliers
- Design and implement augmentation strategies for rare defects and edge cases
Model Development & Evaluation
- Train deep-learning models on inspection images for defect detection
- Use modern computer vision / deep learning frameworks (e.g., PyTorch, TensorFlow)
- Evaluate models using confusion matrices, ROC curves, precision–recall curves, F1 scores and other relevant metrics
- Analyze false positives/false negatives and propose thresholds or model improvements
Reporting & Communication
- Prepare clear offline performance reports and model evaluation summaries
- Explain classifier decisions, limitations, and reliability in simple, non-technical language when needed
- Provide recommendations for scalable deployment in later phases (e.g., edge / on-prem inference, integration patterns)

Candidate Requirements:
Must-have:
- 1-2 years of hands-on experience with computer vision and deep learning (classification, detection, or segmentation)
- Strong proficiency in Python and at least one major DL framework (PyTorch or TensorFlow/Keras)
- Solid understanding of:

• Image preprocessing and augmentation techniques
• Classification metrics: accuracy, precision, recall, F1, confusion matrix, ROC, PR curves
• Handling imbalanced datasets and low-frequency classes

- Experience training and evaluating offline models on real production or near-production datasets
- Ability to structure and document experiments, compare baselines, and justify design decisions
- Strong analytical and problem-solving skills; attention to detail in data quality and labelling
- Good communication skills in English (written and spoken) to interact with internal and client stakeholders

Nice-to-have:
- Experience with industrial / manufacturing computer vision (AOI, quality inspection, defect detection, etc.)
- Familiarity with ML Ops/deployment concepts (ONNX, TensorRT, Docker, REST APIs, edge devices)
- Experience working with time-critical or high-throughput inspection systems
- Background in electronics, semiconductors, or similar domains is an advantage
- Experience preparing client-facing reports and presenting technical results to non-ML audiences

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

Proxy-Seller is a proxy infrastructure company transitioning to Enterprise. We serve hundreds of thousands of users and are building dedicated B2B content for technical and business audiences.

We're looking for a Senior Content Manager to lead B2B content creation. You'll write for data engineers, DevOps, security teams, and C-level decision-makers — translating complex proxy infrastructure into clear, compelling content. This is a senior IC role with a clear path to Head of Content.

The Role

• Focus: B2B content for Enterprise sales and thought leadership
• Audiences: Technical (engineers, DevOps) + Business (VP Data, CTO, Procurement)
• Formats: case studies, whitepapers, technical guides, comparison articles, landing pages
• Team: work with SEO team (4 people), PMM, freelance writers
• Growth path: Senior Content Manager → Head of Content as team scales
• Reports to: CMO

Requirements

• 4+ years content marketing in B2B tech/SaaS
• Excellent written English — C1+ / near-native (primary content for US/EU audiences)
• Proven ability to write for both technical audiences (engineers) and business leaders (VP, C-level)
• Portfolio with B2B tech content: case studies, whitepapers, technical guides
• Experience managing freelance writers (briefing, feedback, quality control)
• Data-driven: analyze performance, optimize based on metrics
• Strategic thinking — not just execution, but content strategy development
• Comfortable with AI tools for research, drafting, optimization
• Self-starter — can work independently with minimal supervision

Nice to Have

• Experience in proxy/data infrastructure/API/scraping/cybersecurity
• Technical background or ability to quickly grasp technical concepts
• Experience creating content for Enterprise sales cycles (long-form, multi-stakeholder)
• Video scripts, webinar content, podcast experience
• Basic design skills (Figma, Canva) for content visualization

Responsibilities

• Create B2B content: case studies, whitepapers, solution briefs, technical blog posts, landing pages
• Write for dual audiences: technical depth for engineers, business value for decision-makers
• Develop and manage editorial calendar aligned with marketing and sales priorities
• Conduct customer interviews for case studies and testimonials
• Collaborate with PMM on sales enablement materials
• Work with SEO team on content optimization and keyword strategy
• Manage freelance writers: briefing, editing, quality control
• Repurpose content across channels and formats

What We Offer

• Full-time remote, flexible schedule
• Clear growth path: Senior Content Manager → Head of Content
• Shape B2B content strategy from the ground up
• Direct impact on pipeline and revenue
• Education budget (courses, certifications, corporate English)
• PTO: 14 vacation days + 5 days off + 7 sick days + public holidays
• Equipment provided after probation

*We usually review applications within 3−5 business days
We share feedback if we’re able to move forward together. If this role isn’t the right match for now, we’ll keep your resume in our database and gladly reach out when a suitable opportunity comes up

If you like continuous growth and complicated challenges then Proxy-Seller is the way to go! Looking forward to your application

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 9 years, we have diligently fostered the largest Data Science Community in Eastern Europe, boasting a network of over 30,000 AI top engineers.

About the client:
We are working with a new generation of data service provider, specializing in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organizations. The company’s data-driven services are built upon the deep AI expertise the company’s acquired with a 1000+ client base around the globe. The company has 1000 employees across 20 offices who are focused on accelerating digital transformation.

About the role:
We are seeking a Senior Data Engineer (Azure) to design and maintain data pipelines and systems for analytics and AI-driven applications. You will work on building reliable ETL/ELT workflows and ensuring data integrity across the organization.

Required skills:
- 6+ years of experience as a Data Engineer, preferably in Azure environments.
- Proficiency in Python, SQL, NoSQL, and Cypher for data manipulation and querying.
- Hands-on experience with Airflow and Azure Data Services for pipeline orchestration.
- Strong understanding of data modeling, ETL/ELT workflows, and data warehousing concepts.
- Experience in implementing DataOps practices for pipeline automation and monitoring.
- Knowledge of data governance, data security, and metadata management principles.
- Ability to work collaboratively with data science and analytics teams.
- Excellent problem-solving and communication skills.

Responsibilities:
- Transform data into formats suitable for analysis by developing and maintaining processes for data transformation;
- Structuring, metadata management, and workload management.
- Design, implement, and maintain scalable data pipelines on Azure.
- Develop and optimize ETL/ELT processes for various data sources.
- Collaborate with data scientists and analysts to ensure data readiness.
- Monitor and improve data quality, performance, and governance.

About us:
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:
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 looking for a Data Engineer (NLP-Focused) to build and optimize the data pipelines that fuel the Ukrainian LLM and NLP initiatives. In this role, you will design robust ETL/ELT processes to collect, process, and manage large-scale text and metadata, enabling the Data Scientists and ML Engineers to develop cutting-edge language models.

You will work at the intersection of data engineering and machine learning, ensuring that the datasets and infrastructure are reliable, scalable, and tailored to the needs of training and evaluating NLP models in a Ukrainian language context.

Requirements:
- Education & Experience: 3+ years of experience as a Data Engineer or in a similar role, building data-intensive pipelines or platforms. A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field is preferred. Experience supporting machine learning or analytics teams with data pipelines is a strong advantage.
- NLP Domain Experience: Prior experience handling linguistic data or supporting NLP projects (e.g., text normalization, handling different encodings, tokenization strategies). Knowledge of Ukrainian text sources and data sets, or experience with multilingual data processing, can be an advantage given the project’s focus.
Understanding of FineWeb2 or a similar processing pipeline approach.
- Data Pipeline Expertise: Hands-on experience designing ETL/ELT processes, including extracting data from various sources, using transformation tools, and loading into storage systems. Proficiency with orchestration frameworks like Apache Airflow for scheduling workflows. Familiarity with building pipelines for unstructured data (text, logs) as well as structured data.
- Programming & Scripting: Strong programming skills in Python for data manipulation and pipeline development. Experience with NLP packages (spaCy, NLTK, langdetect, fasttext, etc.). Experience with SQL for querying and transforming data in relational databases. Knowledge of Bash or other scripting for automation tasks. Writing clean, maintainable code and using version control (Git) for collaborative development.
- Databases & Storage: Experience working with relational databases (e.g., PostgreSQL, MySQL), including schema design and query optimization. Familiarity with NoSQL or document stores (e.g., MongoDB) and big data technologies (HDFS, Hive, Spark) for large-scale data is a plus. Understanding of or experience with vector databases (e.g., Pinecone, FAISS) is beneficial, as the NLP applications may require embedding storage and fast similarity search.
- Cloud Infrastructure: Practical experience with cloud platforms (AWS, GCP, or Azure) for data storage and processing. Ability to set up services such as S3/Cloud Storage, data warehouses (e.g., BigQuery, Redshift), and use cloud-based ETL tools or serverless functions. Understanding of infrastructure-as-code (Terraform, CloudFormation) to manage resources is a plus.
- Data Quality & Monitoring: Knowledge of data quality assurance practices. Experience implementing monitoring for data pipelines (logs, alerts) and using CI/CD tools to automate pipeline deployment and testing. An analytical mindset to troubleshoot data discrepancies and optimize performance bottlenecks.
- Collaboration & Domain Knowledge: Ability to work closely with data scientists and understand the requirements of machine learning projects. Basic understanding of NLP concepts and the data needs for training language models, so you can anticipate and accommodate the specific forms of text data and preprocessing they require. Good communication skills to document data workflows and to coordinate with team members across different functions.

Nice to have:
- Advanced Tools & Frameworks: Experience with distributed data processing frameworks (such as Apache Spark or Databricks) for large-scale data transformation, and with message streaming systems (Kafka, Pub/Sub) for real-time data pipelines. Familiarity with data serialization formats (JSON, Parquet) and handling of large text corpora.
- Web Scraping Expertise: Deep experience in web scraping, using tools like Scrapy, Selenium, or Beautiful Soup, and handling anti-scraping challenges (rotating proxies, rate limiting). Ability to parse and clean raw text data from HTML, PDFs, or scanned documents.
- CI/CD & DevOps: Knowledge of setting up CI/CD pipelines for data engineering (using GitHub Actions, Jenkins, or GitLab CI) to test and deploy changes to data workflows. Experience with containerization (Docker) to package data jobs and with Kubernetes for scaling them is a plus.
- Big Data & Analytics: Experience with analytics platforms and BI tools (e.g., Tableau, Looker) used to examine the data prepared by the pipelines. Understanding of how to create and manage data warehouses or data marts for analytical consumption.
- Problem-Solving: Demonstrated ability to work independently in solving complex data engineering problems, optimizing existing pipelines, and implementing new ones under time constraints. A proactive attitude to explore new data tools or techniques that could improve the workflows.

Responsibilities:
- Design, develop, and maintain ETL/ELT pipelines for gathering, transforming, and storing large volumes of text data and related information.
- Ensure pipelines are efficient and can handle data from diverse sources (e.g., web crawls, public datasets, internal databases) while maintaining data integrity.
- Implement web scraping and data collection services to automate the ingestion of text and linguistic data from the web and other external sources. This includes writing crawlers or using APIs to continuously collect data relevant to the language modeling efforts.
- Implementation of NLP/LLM-specific data processing: cleaning and normalization of text, like filtering of toxic content, de-duplication, de-noising, detection, and deletion of personal data.
- Formation of specific SFT/RLHF datasets from existing data, including data augmentation/labeling with LLM as teacher.
- Set up and manage cloud-based data infrastructure for the project. Configure and maintain data storage solutions (data lakes, warehouses) and processing frameworks (e.g., distributed compute on AWS/GCP/Azure) that can scale with growing data needs.
- Automate data processing workflows and ensure their scalability and reliability.
- Use workflow orchestration tools like Apache Airflow to schedule and monitor data pipelines, enabling continuous and repeatable model training and evaluation cycles.
- Maintain and optimize analytical databases and data access layers for both ad-hoc analysis and model training needs.
- Work with relational databases (e.g., PostgreSQL) and other storage systems to ensure fast query performance and well-structured data schemas.
- Collaborate with Data Scientists and NLP Engineers to build data features and datasets for machine learning models.
- Provide data subsets, aggregations, or preprocessing as needed for tasks such as language model training, embedding generation, and evaluation.
- Implement data quality checks, monitoring, and alerting. Develop scripts or use tools to validate data completeness and correctness (e.g., ensuring no critical data gaps or anomalies in the text corpora), and promptly address any pipeline failures or data issues. Implement data version control.
- Manage data security, access, and compliance.
- Control permissions to datasets and ensure adherence to data privacy policies and security standards, especially when dealing with user data or proprietary text sources.

The company offers:
- Competitive salary.
- Equity options in a fast-growing AI company.
- Remote-friendly work culture.
- Opportunity to shape a product at the intersection of AI and human productivity.
- Work with a passionate, senior team building cutting-edge tech for real-world business use.

Summary

Backend Engineer, Node.js, Postgres. Remote role building core platform systems for an enterprise AI product. 5+ years of experience required.

About the company

Our client builds an AI platform that enables enterprises to customize and deploy AI capabilities for their specific needs. The platform team is central to this work, responsible for infrastructure, shared components, and internal tooling that the rest of engineering depends on.

The role

This is a hands-on implementation engineering position. You'll work on deploying, configuring, and integrating the platform for enterprise clients, translating their requirements into working solutions, deployed at clients' infrastructures. The role sits between product engineering and customer success: technically deep, but with awareness of real-world client needs.

You'll collaborate closely with platform engineers and business teams, occasionally joining business discussions to clarify technical requirements or explain implementation details.

What you'll work on

• Implementing and configuring platform deployments for enterprise customers
• Building integrations between the platform and client systems
• Working with internal teams to understand client requirements and translate them into technical solutions
• Contributing to implementation tooling, documentation, and repeatable deployment processes
• Troubleshooting and resolving issues during and after deployment
• Occasionally participating in client calls to gather requirements or provide technical guidance

What we're looking for

• Strong proficiency in Node.js and TypeScript
• Experience with React and frontend integration
• PostgreSQL/similar RDBMS and general data modeling knowledge
• Familiarity with cloud platforms (AWS, Azure, or GCP), multi-cloud exposure is valuable
• Clear communication skills, - comfortable explaining technical concepts to non-technical stakeholders
• Ability to work independently and manage multiple implementation workstreams
• 5+ years of software engineering experience

Useful additions / nice to haves

• Experience with AI platforms or AI/LLM integration
• Familiarity with CI/CD pipelines and infrastructure-as-code
• Vue.js experience
• Background in enterprise software implementation or professional services
• Previous work in similar roles

N-iX is a global software development company founded in 2002, connecting over 2,400+ tech professionals across 40+ countries. We deliver innovative technology solutions in cloud computing, data analytics, AI, embedded software,IoT, and more to global industry leaders and Fortune 500 companies. Join us to create technology that drives real change for businesses and people across the world.

Our client is involved in a large-scale Data Transformation project, with a focus on solidifying the foundation of their data operations. They are aiming to ensure that data is accurate, consistent, and available at critical times to support their business needs. 

Responsibilities:

• Design and execute test strategies for real-time streaming workflows (Structured Streaming, Azure Event Hub, Topics & Queues).
• Validate data products transitioning from monolithic to microservices architecture.
• Perform API testing for data services and orchestration layers.
• Implement observability checks using Prometheus & Grafana for monitoring pipeline health and performance.
• Collaborate with DevOps teams to ensure Kubernetes-based deployments meet quality standards.
• Conduct functional, integration, and performance testing for Azure Functions and orchestration workflows.
• Ensure compliance with data governance and SLA optimization initiatives.

• Document test cases, results, and maintain traceability in tools like Jira/Confluence.

   

Requirements:

• QA experience in data engineering or real-time data platforms.
• Strong knowledge of streaming technologies (Structured Streaming, Kafka, Azure Event Hub).
• Hands-on experience with API testing (Postman, REST Assured).
• Familiarity with Kubernetes deployments and observability tools (Prometheus, Grafana).
• Proficiency in SQL and basic scripting (Python).
• Experience with Cloud services.

• Knowledge of orchestration frameworks (AirFlow preferably) and CI/CD pipelines.

   

Nice-to-Have Skills:

• Exposure to Iceberg and ClickHouse.
• Understanding of Kappa Architecture and Data Mesh principles.
• Experience with data product testing in microservices environments.

• Familiarity with BI tools (Power BI, Qlik).

   

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

Product Lead / Product Owner

Scope is an ecosystem of products for traders, combining journaling, analytics, and performance tools for Crypto & Forex markets.

(Competitors: TradeZilla, TradeTeam)

We are looking for a Product Lead / Senior Product Owner who will take full ownership of the product, drive product vision, and lead cross-functional teams to build a data-driven product used by a global audience.

Responsibilities

1. Product Ownership & Strategy

- Own and evolve the product vision and long-term strategy together with founders

- Turn user problems, data, and insights into clear product initiatives

- Build, maintain, and own product roadmap and priorities

2. Leadership & Execution

- Lead and coordinate product work across design, engineering, and marketing

- Own backlog, scope, and product releases

- Make product decisions and take responsibility for results, not just delivery

3. Growth & Metrics

- Own core product metrics: activation, retention, engagement

- Improve onboarding flows and core product loops

- Identify and validate monetization opportunities (subscriptions, ecosystem mechanics)

Requirements

- 4+ years of experience as Product Manager / Product Owner / Product Lead

- Proven experience working with global digital products

- Strong product thinking: ability to generate ideas, not only execute tasks

- Confident use of product analytics and metrics for decision-making

- Experience leading cross-functional teams (design, engineering, marketing)

- Fluent English (working with international teams and users)

Big Plus

- Knowledge of Crypto, Forex, or trading workflows

- Experience with trading, journaling, or analytics products

- Subscription-based monetization experience

What matters to us

- Ownership over outcomes, not tasks

- Ability to lead, influence, and make decisions

- Comfort working with a product that is still evolving and growing

This is not a role for someone executing ready-made specs. We are looking for a product thinker who owns ideas, decisions, and outcomes.

Summary

Senior Backend Engineer, Node.js, Postgres. Remote role building core platform systems for an enterprise AI product. 5+ years experience required.

About the company

Our client builds an AI platform that enables enterprises to customize and deploy AI capabilities for their specific needs. The platform team is central to this work, responsible for infrastructure, shared components, and internal tooling that the rest of engineering depends on. The team works closely with product and applied AI engineers, with short feedback loops and genuine technical ownership.

The role

This is a backend-focused engineering position working on core platform systems. You'll design and build the foundational services that AI-native products run on — dealing with architecture decisions, performance problems, data modeling, and system reliability.

The work is technically demanding. When something difficult or critical needs to be solved properly, this role is expected to lead that effort.

What you'll work on

• Designing and implementing backend services and system components end-to-end
• Building infrastructure that supports fast iteration without sacrificing reliability
• Investigating and resolving complex issues across performance, data, and APIs
• Collaborating with platform, AI, and product teams to deliver systems that are observable and maintainable
• Improving developer experience through better tooling, clearer standards, and thoughtful architecture

What we're looking for

• 5+ years of software engineering experience with JavaScript tech stack, with clear ownership of complex backend systems
• Strong Node.js proficiency- clean, well-structured backend code matters here
• Solid understanding of relational databases (PostgreSQL) and data modeling
• Good debugging instincts and sound engineering judgement
• Ability to learn new domains quickly and work independently

Useful additions

• Experience with distributed systems, caching layers, message queues, or multi-tenant architectures
• Background in AI/LLM integration on the backend
• Familiarity with AI development platforms or coding assistants
• Previous work on enterprise platforms or AI infrastructure
• Platform/infrastructure experience: observability, CI/CD, API design

We are seeking a skilled Senior Business / System Analyst to join our team. In this role, you will support client discovery phases, identify pain points and improvement opportunities, and help translate business needs into clear functional requirements and delivery-ready specifications. This position requires hands-on experience in the manufacturing domain, with a solid understanding of operational workflows and business processes. 
Location: Toronto, Canada (ideally). We also consider candidates from Europe/UA with Canadian visa and ability to travel for crucial project phases. ​Can stick to European business hours.
Engagement: part-time or full-time, we are ready to discuss both.

Key Responsibilities: 
• Conduct process discovery workshops with business stakeholders and operational teams;
• Analyze current-state processes and identify:    
◦ inefficiencies;    
◦ bottlenecks;    
◦ repetitive/manual tasks;    
◦ opportunities for automation and optimization. 
• Document business requirements as:    
◦ functional specifications;    
◦ user stories / acceptance criteria;    
◦ process maps and workflow documentation. 
• Support delivery teams (engineering / DevOps / QA) by clarifying requirements and aligning expectations; 
• Assist in defining project scope, priorities, KPIs, and success criteria; 
• Contribute to solution validation, including supporting UAT preparation and feedback collection. 

Required Skills & Experience:
• 4+ years of experience as Business Analyst / Product Analyst / Systems Analyst 
• Manufacturing domain experience (required) — e.g.:    
◦ production & operations:
◦ quality control;    
◦ supply chain / logistics;    
◦ warehouse operations ;   
◦ ERP / MES-related workflows.
• Strong experience in:    
◦ business process documentation (BPMN / flow diagrams);    
◦ writing user stories, epics, functional requirements;    
◦ working with cross-functional stakeholders.
• Solid communication skills and ability to work with both business and technical teams.

Nice to Have: 
• Understanding of enterprise IT systems and integrations (ERP, MES, CRM, WMS); 
• Knowledge of data reporting, analytics, and BI tools;
• Experience in regulated industries (finance, healthcare, etc.).

What We Offer
 

• 16 days of paid time off.
• Official public holidays.
• Participation in company events.
• Health insurance.
• A friendly environment and supportive team.
• Engaging projects with opportunities for career growth.

About MEGAVAST

MEGAVAST is an innovative IT company developing advanced software products and automation tools for programming and project management. We operate on international markets and build solutions that transform the way software is created.

We are now looking for a Project & Business Operations Coordinator (Business assistant) — a proactive, analytical professional who will strengthen operational and project workflows across the company.

About the Role

This position combines elements of project management, business analytics, and operational support.
It involves direct, frequent collaboration with the CEO, participation in international projects, and engagement in strategic company initiatives.

You will act as a key link between leadership and internal teams, ensuring effective communication, transparency, and timely execution of high-priority tasks.

Key Responsibilities

• Coordinate communication and workflows between the CEO, management, and internal teams.
• Support international projects and track the execution of critical tasks.
• Collect and analyze data; prepare reports, summaries, and presentations.
• Participate in strategic planning and drive follow-up actions.
• Prepare materials for meetings, take notes, and manage action items.
• Monitor deadlines and task progress in PM systems.
• Assist in solving operational and business-related tasks.

Requirements

• 2 years of experience as a Business Assistant, Project Manager Assistant, Operations Coordinator, or similar role.
• Strong analytical mindset and ability to work with data.
• Experience working with project tasks (preferably in IT or tech environment).
• Excellent organizational and communication skills.
• High level of responsibility, autonomy, and proactiveness.
• Strong Intermediate+ / Upper-Intermediate English.
• Confident use of Google Workspace; basic knowledge of Jira or Trello is a plus.

Nice to Have

• Degree in Management, Economics, Finance, or Law.
• Experience preparing management reports or presentations.
• Basic business analysis skills.
• Understanding of modern PM methodologies.

What We Offer

• Hybrid work model.
• Modern office in the centre of Kyiv (Olimpiyska metro station).
• Strong career development opportunities — growth into Project Management or Business Operations.
• Competitive compensation with annual reviews.
• Paid vacation and sick leave.
• All necessary equipment.
• Professional, friendly, result-driven team.

Join MEGAVAST

This is an excellent opportunity for someone who wants to work closely with the CEO, contribute to strategic initiatives, and grow within a fast-developing international IT company.

About MEGAVAST

MEGAVAST is an international IT company that develops software and innovative tools for developers. We are growing rapidly and are looking for a Junior Finance specialist to join our Kyiv team and support the finance department in daily operations.

About the Role
This position is a great opportunity for those who want to build a career in finance and accounting. You will work under the guidance of an experienced Finance Manager, gain practical skills, and gradually take on more complex tasks.

Key Responsibilities:

• Assisting with daily financial operations (processing invoices, primary documentation).
• Supporting the preparation of monthly and quarterly reports.
• Working with banking documents and payments.
• Providing administrative support to the finance team.

Our Expectations:

• Basic knowledge of accounting and financial processes.
• Proficiency in Excel.
• Attention to detail, responsibility, and willingness to learn.
• English level: Intermediate or higher (for communication with colleagues).

Would be a plus:

• 6 months and more of experience as an accounting assistant, finance assistant, or internship in a finance department.

We Offer:

• Competitive salary with growth potential as your skills develop.
• Annual salary review.
• Opportunities for learning and professional development.
• Paid vacation and sick leave.
• Flexible working hours (start between 9:00–11:00).
• Hybrid work format.
• Modern office in the center of Kyiv, near “Olimpiiska” metro station.

Join MEGAVAST and start your career in accounting and finance at an international IT company!

About MEGAVAST

MEGAVAST is an international IT company specializing in software development and innovative code development tools that automate and streamline the software creation process. We are now looking for a Finance Manager to join our Kyiv team and oversee all aspects of financial management, accounting, and compliance.

About the Role
Are you a detail-oriented finance professional with strong accounting expertise? Do you thrive in a fast-paced environment and enjoy balancing day-to-day operations with strategic planning? If so, we want to hear from you!

Key Responsibilities:

• Reporting & Forecasting: Prepare Cash Flow forecasts, monthly and quarterly reports (P&L, Balance Sheet).
• Banking: Open and manage bank accounts, negotiate with banks.
• Financial Operations: Control of day-to-day transactions and invoicing.

• Analysis & Optimization: Identify cost-saving opportunities and improve financial processes.

   

Requirements:

• At least 3 years of experience as an Finance manager or in a similar role.
• Proven skills in financial management and reporting.
• Experience with bank processes.
• Strong communication skills and high professional integrity.
• Attention to detail and analytical mindset.

• Strong Intermediate English or higher for effective communication with the team.

   

What We Offer:

• Competitive, stable salary that reflects your expertise.
• Annual salary reviews and performance-based rewards.
• Opportunity to lead change and implement new approaches.
• Paid vacation and sick leave.
• Flexible working hours (workday starts between 9:00–11:00).
• Hybrid work option.

• Modern office in centre of Kyiv, right next to the Olimpiyska metro station.

   

Join MEGAVAST to shape the financial strategy of a growing international tech company while working in an environment that values both professional excellence and personal well-being.

BrainRocket is a global company creating end-to-end tech products for clients across Fintech, iGaming, and Marketing. ‍Young, ambitious, and unstoppable, we've already taken Cyprus, Malta, Portugal, Poland, and Serbia by storm. Our BRO team consists of 1,300 bright minds creating innovative ideas and products. We don’t follow formats. We shape them. We build what works, launch it fast, and make sure it hits.
 

❗️Please note that this role is office-based for Spain.

❗️If you need to be relocated, we take care of the process.
 

✅ Requirements:

✔️Strong knowledge of JavaScript and the ECMAScript 6 standards;

✔️5+ years of commercial experience with Node.js and Nest.js;

✔️5+ years of commercial experience in web development;

✔️Commercial experience of working with high-load SQL or NoSQL databases;

✔️Commercial experience of implementing the REST, GraphQL, and WebSockets;

✔️Understanding of the TDD principles and experience of writing tests;

✔️Understanding of microservice architecture principles;

✔️Experience of GIT version control system;

✔️Experience with RabbitMQ;

✔️Experience with Redis;

✔️Experience with databases MongoDB, MySQL;

✔️At least an Intermediate level of English.
 

✅ Will be a plus:

✔️2+ years of hands-on experience developing over CI/CD/Micro Services architecture/Containers;

✔️Experience with Kubernetes;

✔️Experience with Nats;

✔️Experience with TypeScript.
 

✅ Duties and opportunities:

✔️In-house platform development;

✔️3rd party API integrations;

✔️Actively participate in developing new features from scratch.

✅ We offer excellent benefits, including but not limited to:

🧑🏻‍💻 Learning and development opportunities and interesting, challenging tasks;
📝 Official employment following Spain/EU laws, including registration of family members;
✈️ Relocation package (flight tickets + 2-week hotel stay);
📚 Language development support and partial compensation for classes;
🎁 Birthday celebration gift;
🏝 23 working days of Annual Vacation for proper rest;

🏋️‍♂️Social Club and more than 50 events per year - coming soon;

⚖️ Competitive remuneration level with annual review;

🏄🏻‍♂️ Teambuilding activities.
 

Bold moves start here. Make yours. Apply today! 

We are looking for a responsible and motivated Junior Payments Operations Specialist to join our Back Office team. This role is a good fit for someone who wants to grow in FinTech, learn new tools, and support smooth and accurate payment processes for our global clients.

Role Mission

• Support and improve daily payment operations to ensure accuracy and efficiency.
• Work closely with Verification, Compliance, Risk, and Support teams to follow internal and regulatory standards.
• Stay updated on industry and regulatory changes to keep processes compliant.
• Investigate and resolve payment discrepancies in a timely manner.
• Help improve workflows to provide fast and seamless service.

• Maintain high standards of accuracy, transparency, and operational quality.

   

Key Responsibilities

• Process, monitor, and review client payments and financial transactions.
• Handle client and partner requests via email.
• Communicate with merchants/providers to resolve disputes or clarify transaction details.
• Ensure compliance with company policies and financial regulations.
• Perform additional operational or technical tasks when needed.

• Collaborate with cross-functional teams to support overall business goals.

   

Requirements — Hard Skills

• Experience in payments, financial operations, or transaction workflows (FinTech experience 1+ year is a plus).
• Good analytical skills and ability to work with data.
• Strong PC user; confident with Excel and Google Sheets.
• Ability to multitask and stay organized in a fast-paced environment.

• English: Strong Pre-Intermediate or higher.

   

Requirements — Soft Skills

• Attention to detail, accuracy, responsibility, punctuality.
• Customer-first mindset.
• Ownership and reliability.
• Willingness to learn and grow.

• Result-oriented attitude.

   

We Offer

• Open to candidates with minimal experience (full training provided).
• 160 paid vacation hours per year.
• 10 paid sick leave days per year.
• Medical insurance.
• Remote work opportunity.
• Professional education budget.
• Language learning budget.
• Wellness budget (gym membership, sports gear, and related expenses).

Revenue Grid is a product-based B2B SaaS company with Ukrainian roots and a global footprint. We build an AI-driven Revenue Intelligence Platform used by thousands of sales teams across the US and Europe to automate sales workflows and prevent revenue leaks.

As we continue to scale out our platform and expand AI-powered modules, we’re looking for a Senior Full-Stack Developer who can confidently own frontend tasks while deeply understanding backend architecture and product logic.

This role is ideal for a senior engineer who wants to influence the product, work across the full stack, and collaborate closely with Product and Engineering teams.

Why this role might be a great fit

• You’ll work on a mature, growing B2B SaaS product with real users and real impact
• You’ll own features end-to-end — from idea and design to implementation and release
• Strong focus on frontend development, with meaningful backend involvement
• Opportunity to influence architecture and technical decisions
• Low bureaucracy, high ownership, and a culture of trust and accountability
• A team that values clarity, proactivity, and engineering excellence

Your Responsibilities

• Own frontend development (~70% of the workload), while contributing to backend development (~30%) to ensure well-designed, scalable, and product-oriented features
• Develop and maintain frontend functionality using React, TypeScript, and modern state management
• Participate in backend development using .NET / .NET Core and related technologies
• Work on integrations with external services and APIs
• Develop and support Chrome Extensions
• Collaborate closely with Product, Design, and Architecture teams
• Continuously improve performance, stability, and code quality across the system
• Own features throughout the full product lifecycle — from concept to release and support

Requirements

• Strong experience with TypeScript / JavaScript
• Solid knowledge of React and state management patterns (Redux / FLUX)
• Experience working with HTML5, CSS3
• Experience with modern frontend tooling and build systems: Vite / Webpack / esbuild; npm / yarn / pnpm; linting, formatting, and code quality tools
• Strong backend expertise with .NET / .NET Core
• Proficiency in C#, ASP.NET, WebAPI
• Experience applying IoC / DI principles
• Hands-on experience with Entity Framework
• Strong SQL skills (MS SQL)
• Experience in designing and consuming RESTful services
• Experience deploying and running applications on Kubernetes
• Understanding of containerization (Docker)
• Experience with Microsoft Azure
• Hands-on experience with Office 365 / Microsoft Graph API
• Experience working with Microsoft Exchange, including Exchange Web Services (EWS)
• Experience developing Chrome Extensions
• Familiarity with WebRTC APIs / protocols
• Ability to work across frontend and backend, owning features end-to-end
• Product-oriented mindset and strong problem-solving skills
• English at intermediate+ level for daily communication

Nice to have

• Experience with ML / NLP platforms or AI-powered product modules
• Background in CRM, ERP, or B2B SaaS products
• Experience working with complex, long-living enterprise systems
• Understanding of scalability, performance optimization, and system design

What you get

• Remote-first work model — from anywhere in Europe
• Contract via Ukrainian FOP or standard B2B
• A global product with tens of thousands of active users
• Skilled teammates who value your input and expertise
• Unlimited vacation policy — we trust responsible adults
• High-quality medical insurance
• Stability, transparency, and long-term collaboration

If you’re looking for a senior full-stack role with real product impact, we’d love to hear from you. Join us in building the future of AI-driven revenue intelligence.