Jobs at Djinni

Essential Expertise:

• At least 3 years of experience managing affiliate programs as a manager or team lead
• Experience in OTA, airline sales, or travel-related industries is highly preferred
• Strong understanding of performance marketing, CPA models, and attribution principles
• Hands-on experience with affiliate platforms (CJ, FlexOffers are a strong plus)
• Solid analytical mindset with the ability to interpret performance data and draw actionable conclusions (report creation is not required)
• Confident conversational English for daily communication with international partners
• Strong negotiation skills with the ability to maximize partner performance and build win-win relationships

• Knowledge of compliance standards, brand safety, and affiliate best practices
   

   

Key Contributions:

• Grow affiliate channel profitability with a clear focus on profit, qualified leads, and new connected affiliates as core KPIs
• Recruit, onboard, and activate new high-quality affiliate partners aligned with company goals
• Optimize partner performance through continuous testing, negotiation, and relationship management
• Build long-term, trust-based relationships with key strategic affiliates
• Provide clear performance insights and recommendations to leadership based on data analysis
• Collaborate with marketing and product teams to align affiliate initiatives with overall business strategy

• Participate in international industry exhibitions and conferences 2–4 times per year (all business trips are fully covered)
   

   

Distinctive Advantages:

• Opportunity to grow into a Head of Affiliate / Lead role within 9–12 months based on performance
• Work on travel and aviation-related products with strong international exposure
• Stable position with competitive salary and full benefits package
• Paid business trips to major affiliate and travel industry events
• Professional growth through hands-on experience with large-scale partner networks
• Supportive team environment focused on long-term collaboration and results

📍 Ukraine (Kyiv / Lviv / Remote)
⚠️ We consider candidates located in Ukraine only

We are looking for a Senior Data Scientist who enjoys solving complex ML problems, working with large datasets, and delivering models that directly impact real business metrics.

This is not a research-only role. Your models will go to production and influence real decisions.

What you will do

• Build and deploy supervised and reinforcement learning models
• Optimize ad targeting and campaign effectiveness
• Perform deep data analysis and feature engineering
• Apply optimization algorithms (linear / non-linear / combinatorial)
• Improve accuracy, scalability, and performance of existing models
• Work closely with engineering to integrate models into production
• Monitor and troubleshoot deployed solutions
• Communicate insights to product and business teams
• Mentor junior data scientists

Requirements

• 5+ years of experience in Data Science / Machine Learning
• Strong experience with supervised learning
• Hands-on reinforcement learning experience
• Solid understanding of optimization techniques
• Python
• SQL and relational databases
• scikit-learn / TensorFlow / PyTorch
• pandas / NumPy
• Production mindset and ownership

Nice to have

• OpenAI Gym or other RL frameworks
• AWS
• MLOps practices (Docker, CI/CD, versioning, Kubernetes)
• Experience with large-scale production systems

Soft skills

• Strong analytical thinking
• Clear communication
• Ability to work independently
• Prioritization in fast-paced environments
• Mentorship experience

 

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

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! 

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.

Who we are 

We are a Ukrainian multiproduct company that creates database development and management tools, connectivity solutions, productivity tools, and data services for more than 500.000 clients from 120 countries. Among our clients, you can find such legends as Microsoft Corporation, Oracle America, IBM, Intel, and many more companies that deserve their place in the Fortune 100 and Fortune 500.

Since 1997, we have been streamlining data workflows for professionals and teams with our intuitive and efficient software products. We’re committed to enhancing our customers’ experience across the globe by minimizing data-related tasks and enabling them to focus on more inspiring goals. Whether it’s Fortune-100 companies or individuals, we provide a customer-centric approach, delivering high-quality solutions and exceptional support.

Driven by passion, we play a substantial role in shaping the future of data management.

Product that needs your engagement 

As a part of our Core Business Unit, you will be engaged in working with various product lines of our Company.

Core BU is a fundamental group of service departments that helps to manage smooth and seamless work of all other business units, departments and teams, being a glue that holds us together.

Your future team of professionals 

You will join the IT Department, which brings together the Head of IT, a Technical Lead, three System Administrators, a DevOps Engineer, and a Security Engineer to ensure the stability, scalability, and security of our infrastructure.

Your future challenges

The System Administrator is responsible for the stable operation of Devart’s user and test IT environments, ensuring reliable support for employees, infrastructure, and internal IT processes. The role combines operational support, workstation administration, and responsibility for executing and coordinating multi-level onboarding and offboarding processes, including access and equipment management.

Working within a product-focused company environment, the specialist supports the preparation and maintenance of test environments for internal teams, ensures the proper operation of various operating systems and software, and performs initial diagnostics of infrastructure-related issues.

The position involves close collaboration with the IT team and business units, participation in internal IT projects, and a gradual expansion of responsibilities as technical expertise grows.

Impact you will make 

IT Support & HelpDesk (L1—L2):

• Handling user requests, diagnosing issues, and resolving incidents.
• Escalating complex issues and tracking their resolution.
• Providing user support in accordance with SLA requirements.

Identity & Endpoint Administration:

• Managing users and access rights in Microsoft Entra ID and Active Directory.
• Handling employee onboarding and offboarding processes.
• Full administration of Windows workstations, with additional support for macOS and Linux.

Virtualization & Test Environments:

• Working with local and server-side virtualization.
• Preparing and providing test environments for internal product teams.
• Configuring various OS and software setups for product testing.

Monitoring & Infrastructure:

• Participating in infrastructure and environment monitoring.
• Performing initial issue diagnostics and collaborating with relevant specialists.

IT Assets & Internal Projects:

• Maintaining IT asset inventory and managing the equipment lifecycle.
• Procuring, preparing, and distributing hardware.
• Participating in internal IT projects and process improvement initiatives.

Skills we are looking for 

• 3+ years of experience as a System Administrator / HelpDesk (L1.5—L2).
• Strong Windows administration skills, with confident support of user and test environments.
• Hands-on experience with Microsoft Entra ID and Active Directory.
• Required experience with virtualization, both local (desktop) and server-side.
• Solid knowledge of networking: LAN, Wi-Fi, VPN, DNS, DHCP, and network troubleshooting.
• Experience in preparing and supporting test environments (OS, software, configurations).
• Nice-to-have experience with databases (understanding core principles, basic operations).
• Experience working with ITSM systems (Jira Service Management or similar).
• Strong sense of ownership, structured thinking, and the ability to work effectively with users and development teams.

Benefits you get

• Maintain your work-life balance

Manage your own working hours with our flexible schedule

19 days of annual vacation granted on a pro-rata basis

No overtimes required

• Hybrid type of cooperation

Whether you prefer to work remotely in the comfort of your home office or from one of our 4 offices, you can still take part in increasing the world`s awareness about quality Ukrainian products from any part of the world

• Stay healthy

Medical insurance from one of the top insurance companies in Ukraine with a wide range of included services, as well as special programs for relatives; and special options for those who live abroad.

15 working days of sick leave per year — because your health is a priority.

• Grow with us

In-house English courses — increase your proficiency through our online courses and speaking clubs with a native speaker

Online learning activities — workshops, lectures, and webinars to enhance your leadership, management, and self-awareness skills

Experience exchange — we are proud of our team of professionals who gladly share their deep expertise in all kinds of fields with the rest of the team

Promotions, rotations, and transitions — when you believe your skills could benefit a different role or team.

• Stand with Ukraine!

We have an active pro-Ukrainian position, and that means we help our army, our servicemen, and their families not only through constant donations and volunteering, but also through our military leave policy, special health insurance options, and financial help

We are a perfect match if you share our values

We are professionals in our field.

We know how to turn up our professionalism to the maximum, because we are experts who enjoy solving complex tasks.

We know how to focus on the product, think big, and at the same time delve deep into the details.

We create a calm and friendly atmosphere within the company.

We value the freedom of open and transparent communications.

Radical honesty is embedded in the foundation of our culture.

We are open to new things and constantly develop and practice regular knowledge sharing, which helps us evolve continuously.

Most importantly, the company creates an environment where we can fulfill our potential upon a solid foundation.

Our Hiring Process

• Recruitment Interview
• Technical Interview
• Offer Call

We strive to ensure transparency and openness in the hiring process, and we understand the importance of providing timely feedback. If your resume meets the job requirements, we will contact you to clarify details and schedule an interview within 2 weeks after your application is submitted.

The timeframe for feedback between interview stages may take up to 2 weeks.

Responsibilities:

• Create content for email, SMS, push notifications, Viber, and WhatsApp.
• Write copy for promotions, tournaments, and bonus programs.
• Work with landing pages: descriptions of bonuses, terms & conditions, new games.
• Prepare scripts and copy for gamification features (missions, challenges, wheels of fortune).
• Develop a content strategy aimed at player engagement and retention.
• Analyze competitors and content trends in iGaming and betting.
• Collaborate closely with CRM marketers, designers, and the SMM team.

Probation Goals:

• Adapt to the product and dive into the specifics of the content.
• Get familiar with the product, bonus mechanics, and gameplay processes.
• Study content communications (email, SMS, push notifications, landing pages, SMM).
• Conduct competitor analysis: copy, mechanics, and formats used by market leaders.
• Prepare and launch pages for bonuses, tournaments, and other activities.

Requirements:

• 2+ years of experience as a Content Manager (gambling, betting, iGaming).
• Strong understanding of content specifics for online casinos and sports betting.
• Ability to write high-converting copy (headlines, offers, promotional descriptions).
• Experience working with CMS platforms: creating and updating content.
• Basic skills in Figma.
• Ability to adapt content for different channels (landing pages, email, Telegram, push notifications, etc.).

About Teramind

Teramind is the leading platform for user behavior analytics, serving multiple use cases from insider risk mitigation to business process optimization. With our comprehensive suite of solutions, organizations gain unprecedented visibility into user activities while enhancing security, optimizing productivity, and ensuring compliance. Trusted by Fortune 500 companies and businesses of all sizes across industries, our innovative platform helps organizations protect sensitive data, maximize workforce performance, and create safer, more efficient digital workplaces. Through real-time monitoring and advanced analytics, we enable businesses to safeguard their most sensitive information while optimizing employee productivity in both in-office and remote work environments.

Our Core Values

At Teramind, our values drive everything we do. We embrace innovation as a fundamental principle, constantly pushing boundaries to improve our products, streamline processes, and enhance customer experiences. We foster resourcefulness by empowering our team members with the autonomy and confidence to solve problems independently while providing collaborative support when needed. As a globally inclusive organization, we celebrate diversity and create an adaptable work culture where respect and collaboration thrive across our international teams. Above all, we are committed to excellence, delivering the highest quality in every aspect of our work and consistently exceeding expectations in service to our clients and each other.

We are looking for a Principal Full-Stack Engineer to provide technical leadership across our product and engineering teams. This role is a combination of hands-on coding and architectural guidance. You’ll work across the stack — from building intuitive, performant front-end experiences to optimizing back-end services, APIs, and data models. We’re using React, Node.js, TypeScript, GraphQL, PostgreSQL, CQRS, and event sourcing. As a Principal Engineer, you’ll drive complex feature development, set technical standards, and ensure our systems are scalable, secure, and maintainable. 

Responsibilities

• Defining and refining architecture for new features and long-term platform evolution.

• Designing and coding features end-to-end, from front-end components to backend APIs and data layers.

• Reviewing pull requests and contributing high-quality, scalable code across the stack.

• Troubleshooting complex issues in production and guiding incident response when needed.

• Set technical direction through architecture discussions, coding standards, and best practices.

• Collaborate closely with product, design, and other engineers to deliver solutions that balance technical and business needs.

• Operate with minimal supervision, driving complex initiatives from design through delivery.

• Troubleshoot, optimize, and improve performance, scalability, and reliability of systems.

Requirements

• 8+ years of professional experience in software engineering, with deep expertise in full-stack development.

• 4+ years of experience with React (Next.js), Nest.js (or Express.js), GraphQL, Docker

• Deep expertise in modern front-end technologies, including HTML, CSS, and JavaScript/TypeScript.

• Hands-on experience with back-end technologies, including SQL databases (e.g., PostgreSQL) and API design.

• Familiarity with event-driven architectures, particularly patterns like CQRS and event sourcing.

• Proven experience designing and consuming RESTful APIs and building scalable, production-grade solutions.

• Strong foundation in software engineering principles such as data structures, algorithms, and object-oriented design.

• Exceptional communication and interpersonal skills, with the ability to collaborate effectively across teams.

• Highly organized with strong attention to detail and commitment to delivering high-quality results.

• Comfortable working in fast-paced, dynamic environments, balancing multiple priorities.

• Growth mindset with a strong desire to learn, adapt, and embrace new technologies.

• Proficient in spoken and written English, capable of communicating clearly with technical and non-technical audiences.

Nice to have

• Hands-on experience with Tailwind CSS, D3.js, Angular, and AG Grid for building rich and performant user interfaces.

• Working knowledge of DevOps practices and CI/CD pipelines, with familiarity in modern tools and automation processes.

• Exposure to AI/ML integration, data pipelines, or advanced analytics systems.

Why join us?

• Opportunity to shape the technical vision of a fast-growing company.

• Work alongside talented engineers solving challenging problems.

• Influence not just the codebase, but also the culture and processes of the engineering organization.

Benefits

This is a remote job. Work from anywhere! We’ve been thriving as a fully-remote team since 2014. To us, remote work means flexibility and having truly diverse, global teams.

Additionally:

• Collaboration with a forward-thinking team where new ideas come to life, experience is valued, and talent is incubated.

• Competitive salary

• Career growth opportunities

• Flexible paid time off

• Laptop reimbursement

• Ongoing training and development opportunities

About our recruitment process

We don’t expect a perfect fit for every requirement we’ve outlined. If you can see yourself contributing to the team, we want to hear your story. You can expect up to 3 interviews. In some scenarios, we’re able to streamline the process to have minimal rounds. Director-level roles and above should expect a more thorough process, with multiple rounds of interviews.

All roles require reference and background checks

Teramind is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration without regard to race, age, religion, color, marital status, national origin, gender, gender identity or expression, sexual orientation, disability, or veteran status.