Jobs

Requirements:

• Strong production experience with both Vue.js and React
• Proficiency with JavaScript / TypeScript for frontend development
• Hands-on experience with Three.js and Canvas-based rendering
• Demonstrable frontend performance optimization experience (page load time, rendering efficiency, working with large or real-time data sets)
• Comfortable working across the stack — willingness to occasionally pivot to backend tasks (backend is primarily C++ with a small Python service)
• Ability to work highly autonomously, proactively clarify requirements and drive work forward with minimal supervision
• Strong communication skills and experience working in distributed teams (Europe/Ukraine time zone; ~1–2 hours of daily overlap with a US-based team)
• Hands-on experience with AI-assisted development tools — e.g. Claude Code and Codex — including AI skills, plugins, and MCP (Model Context Protocol), with a clear understanding of how to boost personal productivity and code quality using AI tooling

Nice-to-Have:

• Hands-on experience migrating a frontend from Vue to React (strong plus — the team will be defining its migration strategy together with this engineer)
• Experience rendering large, real-time data streams in the browser
• Familiarity with deck.gl and Leaflet
• WebGL experience beyond Three.js abstractions
• Familiarity with C++ or general backend development

Key Responsibilities:

• Help drive the migration of the application's frontend from Vue.js to React, including advising the team on transition strategy
• Optimize frontend performance — faster page loads and more efficient rendering of heavy real-time 3D scenes and data
• Build and maintain visualization UI components that render synchronized 3D, lidar, and media data
• Take ownership of features end-to-end, proactively clarifying requirements and assumptions
• Collaborate with a primarily US-based team with ~1–2 hours of daily overlap, while working largely independently
• Participate in code reviews and design discussions

About the Project:

You'll join the engineering team of a leading technology company building autonomous mobility and robotics systems. The team develops an internal data visualization platform — essentially a "video and data player" that renders a 3D scene, a lidar feed, and an audio feed in sync, used to inspect and debug the data recorded by autonomous vehicles.

The current focus spans two directions: optimizing the platform's performance and migrating the frontend from Vue.js to React, as the broader engineering organization standardizes on React. This is a long-term engagement for an engineer who is comfortable across the stack, cares about clean and performant code, and can drive features from design to production with high ownership and minimal supervision.

External Engineer — Google Data API / DV360 Integration

We are looking for an experienced external engineer to help build a new integration with Google’s data APIs, replacing our existing DV360 integration.

The work will involve designing and implementing a production-grade integration with Google’s APIs, including authentication, API request/response handling, data ingestion, error handling, retries, observability, and integration into our existing backend services. The engineer will work with our internal team to understand the current DV360 implementation, map the new Google API capabilities to existing product flows, and deliver a clean, maintainable replacement.

Required experience

• Strong hands-on experience with Clojure
• Experience building backend integrations with external APIs
• Ability to read API documentation, clarify edge cases, and independently drive implementation
• Experience with OAuth / service-account-based authentication, pagination, rate limits, retries, and API error handling
• Strong production engineering practices: testing, logging, monitoring, and maintainable code

Advantage

• Experience with Google Marketing Platform, DV360, Bid Manager API, Google Ads, or similar advertising / marketing-channel APIs
• Familiarity with reporting, campaign, audience, or measurement data flows
• Experience replacing or migrating legacy third-party API integrations

Engagement scope

• Review the current DV360 integration and identify required migration points
• Implement the new Google data API integration in Clojure
• Support testing, validation, and rollout with the internal AppsFlyer team
• Document key implementation decisions, API assumptions, and operational considerations

Summary

• Senior Data Analyst with experience in cloud databases, data pipelines, and advanced SQL/NoSQL.
• Experienced in Python and AWS services, contributing to semantic search and AI-driven customer-facing platforms.
• Skilled in designing and deploying analytics applications, creating data-driven dashboards, and collaborating in agile, multicultural teams.
• Background in data architecture, automation, and delivering high-quality data products supporting digital transformation.

Job Description

The Senior Data Analyst role is a critical position within a travel agency company, focusing on enhancing a customer-facing platform integrated with an intelligent chatbot. The primary objective is to analyze customer requests and behaviors to improve the recommendation and matching process, addressing challenges such as interpreting general customer inquiries and uncovering implicit preferences.

The project centers on a platform designed to assist users in selecting suitable travel offers through an integrated chatbot. A key challenge addressed is the interpretation of general customer requests that lack explicit preferences, requiring advanced analysis to infer user expectations.

Role and Responsibilities

• Collaborate with cross-functional agile teams, including developers, architects, QA engineers, business analysts, product owners, and technical leads, to deliver semantic search functionality and data-driven services.
• Define, document, and communicate business, user, and system requirements, supporting the full requirements lifecycle from planning and elicitation through testing, delivery, and business acceptance.
• Analyze complex business problems, identify relevant data sources, and evaluate solution options to provide data-driven recommendations to stakeholders.
• Design and deliver high-quality data products, dashboards, and analytics solutions that support business growth and digital transformation across key markets.
• Create meaningful dashboards focused on answering key business questions and enabling self-service analytics.
• Work with cloud databases, data pipelines, and database structures, collaborating closely with data engineers and contributing to discussions around data architecture and solutions.
• Design, build, test, and deploy analytics applications, owning and evolving the AI/Search architecture roadmap in coordination with Domain and Group Architecture teams.
• Ensure solutions balance customer impact, security, compliance, and cost, promoting secure behaviors and security-first practices in all activities.
• Contribute actively to the Analytics community and continuous improvement initiatives within the organization.

Key Skills and Competencies

• Strong analytical and problem-solving skills with the ability to decompose complex problems.
• Excellent communication skills for collaboration with both technical and non-technical stakeholders.
• Experience with cloud databases, data pipelines, and strong SQL/NoSQL capabilities.
• Senior-level proficiency in Python programming.
• Experience with AWS services and the ability to design, build, test, and deploy analytics applications.
• Automation mindset and customer-centric approach focused on delivering high-quality data products and services.
• Passion for continuous improvement, teamwork, and learning new technologies.
• Comfortable working autonomously in ambiguous environments within international and multicultural agile teams.

Technologies and Methodologies: AWS cloud services, Python programming (senior-level expertise), semantic search technologies (advantageous), cloud databases, data pipelines, SQL/NoSQL databases, agile methodologies, and security-first practices.

Hello everyone!
We’re looking for a hands-on QA Lead to manage quality practices for our project. This role combines people/process leadership with strong practical expertise in both Manual QA and Automation QA, with automation built using our Playwright-based (JS) framework.
 

Project Idea

The project was founded back in 2014 with the goal of connecting private and government universities/schools with regular people like we are. You have a variety of auditoriums, gyms, classrooms, and other venue options available for community use —
schedule facility uses and manage requests from the community all in one place.Just imagine that you’re a football player and you can rent a football field at Harvard to play with your friends. Amazing, right?
 

What exciting things is the product doing for the community?

The product is transforming the way public and private spaces are discovered, reserved, and used across communities — all online and accessible anywhere.
 

What is the team size and structure?

Our team consists of: 2 Front-End developers, 3 Back-End developers, 1 React-Native developer, 2 UI/UX Designers, 2 QA, 3 AQA, and PM.

How many stages of the interview are there?

— Interview with the Recruiter — up to 30 min.;

— Technical interview — up to 1.5 hours;

— Interview with the client — up to 1 hour.
 

Key Responsibilities:

• Own and drive the overall QA strategy across the project (manual and automation), defining quality standards, release readiness criteria, and continuous improvement initiatives aligned with product risk and delivery cadence.

  ‼️ Work with a required daily overlap of ~6 hours with the client’s time zone; this typically means working until approximately 9 PM — 12 AM EET.

• Lead hands-on test planning and execution for features and epics, providing early feedback on requirements to improve clarity, testability, and quality.
• Maintain a hands-on balance between leadership and execution, with approximately 60% focused on QA leadership and strategy, and 40% dedicated to hands-on testing and automation.
• Ensure efficient, lightweight test documentation, strong regression coverage, and clear traceability between requirements, tests, and defects.
• Own, maintain, and evolve test automation using the Playwright-based JS framework, expanding reliable coverage for critical user flows.
• Proactively manage flaky tests, improve test stability, and ensure automation is trusted by the team.
• Partner closely with Engineering and Product teams to establish shared ownership of quality, run bug triage, align on defect severity and priorities, and support confident release decisions.
• Mentor QA and AQA engineers through coaching, reviews, and knowledge sharing; help define clear QA ownership within the team.
• Contribute to hiring, onboarding, and shaping QA best practices when needed.

Requirements:

Must have:

• 5+ years in Quality Assurance with a mix of manual and automated testing.
• Prior experience in a QA Lead role with clear ownership of QA processes within a team.
• Solid hands-on experience with test automation using Playwright framework.
• Strong understanding of test strategy, test planning, risk-based testing, and release readiness.
• Ability to mentor, coach, and review the work of other QA engineers.
• Strong communication skills and a proactive, ownership-driven mindset.
• Upper-Intermediate English or higher for effective communication and documentation.

Nice to Have:

• Experience with API testing (Postman and/or automated API tests).
• Basic knowledge of SQL and experience debugging web applications using browser developer tools.
• Experience with CI/CD integration (GitHub Actions, CircleCI, Jenkins).
• Familiarity with test reporting tools (Allure, HTML reports) and test management tools.
• Exposure to performance, accessibility, or security testing fundamentals.
• Prior experience building or heavily refactoring a test automation framework, including architecture decisions, patterns, and stability improvement.

What Success Looks Like (first 3-6 months):

• Clear QA operating model is in place: test strategy, quality gates, regression approach, and triage routine.
• Automated suite coverage increases for critical paths, and flakiness decreases with a stable CI signal.
• Fewer escaped defects and better predictability for releases.
• The team demonstrates stronger testing habits: better AC clarity, earlier risk identification, and consistent QA standards.

Місія ролі - забезпечити безпеку AI-застосунків, LLM/RAG-систем, API, інтеграцій і software delivery lifecycle: threat modeling, secure architecture review, secure coding controls, application security testing, AI-specific risk assessment.

Обов'язки:
-Threat modeling для AI-сервісів, RAG-пайплайнів, API та integrations.
-Security review архітектури перед розробкою та production release.
-Визначення security requirements і abuse cases для AI-функціональності.
-Перевірка access control, tenant/data isolation, auditability.
-Організація SAST/DAST/SCA/secrets scanning у SDLC.
-Проведення або координація penetration/security testing.
-Рев’ю vendor-delivered компонентів з точки зору AppSec.
-Розробка security checklist для AI-рішень.
-Спільна робота з SecOps щодо логування, detection і incident response.

Вимоги:
-5+ років досвіду в AppSec, product security, security engineering або penetration testing.
-Практичний досвід secure architecture review.
-Досвід threat modeling: STRIDE, attack trees або інші практичні підходи.
-Знання OWASP Top 10, OWASP API Security Top 10.
-Досвід SAST, DAST, SCA, secrets scanning, dependency security.
-Розуміння authN/authZ, OAuth2/OIDC, JWT, API gateways, RBAC/ABAC.
-Досвід security testing для web/API applications.
-Розуміння secure SDLC і security acceptance criteria.
Бажано:
-Досвід з OWASP Top 10 for LLM Applications.
-Розуміння prompt injection, data leakage, insecure output handling, excessive agency, model abuse.
-Досвід з RAG security: access control на рівні документів, source trust, leakage prevention.
-Досвід red teaming AI/LLM systems.
-Досвід із sensitive/classified data handling.
-Досвід із regulated environments: banking, defence, govtech, critical infrastructure.

Умови для цивільних:
-Офіційне працевлаштування
-Офісна робота, Київ, Центр
-Можливе бронювання


Умови для чинних військових:
-Військова служба
-Служба в Києві (житло не надається), Центр, Київ
-Повне грошове забезпечення для тилової посади

We are building one of the most powerful live-streaming platforms, already connecting 400K+ monthly active users through live events, interactive video chats, and real-time community experiences. Our mission is bold: bring joy, fight loneliness, and deliver safe, ad-free entertainment that keeps people coming back.
This is a complex, fast-moving space, and we love it that way! So, you will join a passionate, expert team tackling everything from scaling AI-powered recommendations to launching high-impact, data-driven features that boost monetization and engagement. Every idea counts here, and every release reaches a massive global audience.
We are now expanding into Arab countries and Europe, enhancing content quality, and rolling out new features to keep users hooked. We are among the Top 5 streaming products in the US and rank in the Top 10 worldwide. Our next milestone: break into the global Top 5, and we are moving fast to make it happen.

About the role: In this role, you will strengthen our product analytics by bringing senior-level expertise in statistical analysis, retention analytics, and experimentation. From your first weeks, you’ll dive into our product, data pipelines, and key metrics, delivering deep insights into retention and monetization, and independently running A/B tests to shape decisions at scale. Your input will help refine analytical processes and frameworks, directly influencing product strategy. With the chance to grow horizontally through diverse tasks, and to be involved in many of the company’s key processes, you’ll see the tangible impact of your work across the business.

In this role, you will

• Drive deep-dive analyses of user behaviour, retention, and monetization
• Independently design, monitor, and evaluate A/B tests and experiments
• Build, maintain, and improve analytical frameworks, dashboards, and reporting systems to ensure clarity and efficiency across the team
• Collaborate closely with product managers to define success metrics, uncover growth opportunities, and shape the product strategy
• Identify gaps and inefficiencies in current processes and elevate the team’s analytical capabilities by proposing smart improvements
• Ensure all product research meets the highest standards of statistical rigour, reliability, and scalability

It’s all about you

• Experience in product or marketing analytics and working cross-functionally with product, marketing, and engineering teams
• Advanced SQL skills and a solid foundation in statistics, including hypothesis testing, causal inference, regression, and retention/survival analysis
• Proven track record in product analytics, ideally in transactional or subscription-based business models, with experience in designing and evaluating A/B tests
• Ownership mindset, strong communication skills and structural thinking that will allow you to  translate complex data into actionable business recommendations for both technical and non-technical stakeholders
   

Would be a plus

• Experience with GBQ, Python and R for analytics
• Familiarity with cohort analysis, LTV modelling, and churn prediction
• Regular usage of AI tools like ChatGPT, Claude AI, Gemini, or similar to support your work

What we offer

Care and support: 

• 20 paid vacation days, 15 sick days, and 6 additional days off for family events
• Up to 10 additional days off for public holidays
• 100% medical insurance coverage
• Sports and equipment reimbursement
• Team building events, corporate gifts, and stylish merch
• Financial and legal support
• Position retention and support for those who join the Armed Forces of Ukraine
• Participation in social initiatives supporting Ukraine
   

Comfortable working environment:

• Work from our Kyiv hub or remotely with a flexible schedule 
• Workspace rental reimbursement in other cities and abroad
• Modern equipment or depreciation of your own tools
   

Investment in your future:

• Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking niche
• 70% of our heads and leads have grown into their roles here – so can you!
• Performance-oriented reviews and Individual Development Plans (IDPs)
• Reimbursement for professional courses and English classes
• Corporate library, book club, and knowledge-sharing events
   

Hiring process

• Intro call
• Technical interview
• Reference check
• Offer

Overview

We are looking for a Middle Computer Vision / Visual Navigation Engineer to improve and extend our GPS-independent navigation stack.

This is a hands-on R&D role: you work with real flight data, bring algorithms from experimentation to production, and collaborate closely with software and flight teams. Day to day you balance navigation and CV development, post-flight analysis, sensor calibration, and integration work. The role suits someone who is comfortable with classical geometry-based CV, modern feature pipelines, and turning prototypes into stable behavior on constrained hardware.

Responsibilities

Navigation & computer vision

• Improve existing visual-inertial navigation on real UAV platforms - both copters and planes
• Develop and refine algorithms for estimating position and orientation from camera and onboard sensor data
• Research and implement additional computer vision that extend the current system (e.g. use of satellite data, map or scene-based cues)
• Handle difficult real-world conditions: vibration, blur, changing scenery, sensor noise, and platform-specific setup differences

Flight analysis & tooling

• Analyze flight recordings to find issues, propose fixes, and verify improvements
• Extend automated post-flight analysis to reduce repetitive manual work
• Define clear quality metrics and use them to judge whether changes are ready for the deployment

Calibration

• Improve calibration procedures for cameras, IMU, and related sensors on new platforms
• Make calibration more repeatable and less dependent on one-off manual steps

Cross-team delivery

• Work closely with software and flight teams on testing, integration, and rollout
• Bring new methods into the production system with attention to performance and reliability
• Document limitations, risks, and operational guidance for the rest of the team

Required skills & experience

• 2+ years of practical experience in computer vision
• Solid fundamentals in image processing and geometric computer vision (camera models, epipolar geometry, robust estimation)
• Good Python for prototyping, analysis, and integration
• Practical production mindset
• English B2+ for documentation and technical discussion; Ukrainian for day-to-day team communication

Nice to have

• Experience with multi-sensor fusion / SLAM / EKF
• Sensor calibration experience on robotic or aerial platforms
• Map-based or semantic localization experience
• Deep learning applied to perception / matching
• UAV / robotics / aerospace experience

What we offer

• Team eager to share the knowledge we have and help you become proficient across a wide range of areas;
• Courses and investment in your professional growth;
• Work on game-changing products which have real impact on the world;
• Team which share common values and meanings, help and support each other;
• Possibility to create, test and improve real autonomous aircrafts;
• Official employment, booking, 21 days of vacation;
• There is some food in office, water, beer, cigarettes;
• You will definitely not be the same as before!

About the company: United Tech is a global IT product company shaping the future of real-time social connection. With millions of users across North America, Europe, LATAM, and MENA, we build next-gen mobile and web apps for live-streaming and social networking. Our platforms enable connection at scale fast, interactive, and deeply engaging. The market is projected to exceed $206B by 2030, and we are already leading the evolution. Founded in Ukraine, scaling worldwide
 

About your role: In this role, you will directly influence product growth and monetization by improving Recommendation Systems for gifts and coins. You’ll work end-to-end on ML solutions — from defining the Data Science roadmap and running experiments to deploying production-ready models — while collaborating closely with Product Managers, Analysts, and Engineers. The role offers a combination of hands-on machine learning, recommendation systems, MLOps, and strategic ownership in a fast-paced product environment where your work will have visible business impact.

In this role, you will

• Create, develop, and improve machine learning models to enhance business performance and product effectiveness
• Collaborate closely with cross-functional teams, including Product Managers, Analysts, and Engineers, to deliver innovative ML-driven features and improvements
• Apply expertise in machine learning algorithms, data structures, and optimization techniques to improve model accuracy, scalability, and efficiency
• Implement and maintain MLOps best practices for model deployment, monitoring, retraining, and maintenance in production environments
• Investigate, troubleshoot, and resolve technical issues related to machine learning models, data pipelines, and infrastructure
• Stay up to date with the latest advancements, technologies, and best practices in machine learning, artificial intelligence, and data science

It’s all about you

• 4+ of Machine learning and deep learning on tabular data, Recommendation systems. 
• 4+ years of software development experience in Python with experience working with ML and DL
• Experience in designing a data science roadmap and the leading technical execution of the project
• Experience with Cloud development AWS/GCP
• Experience of deploy API models on Dev/Prod environment
• Practical understanding of A/B tests process
• Practical understanding of the mathematics behind modern machine learning, linear algebra, and statistics.
• Extensive SQL knowledge

What we offer

Care and support: 

• 20 paid vacation days, 15 sick days, and 6 additional days off for family events
• Up to 10 additional days off for public holidays
• 100% medical insurance coverage
• Sports and equipment reimbursement
• Team building events, corporate gifts, and stylish merch
• Maternity recovery support allowance 
• Financial and legal support
• Position retention and support for those who join the Armed Forces of Ukraine
• Participation in social initiatives supporting Ukraine
   

Comfortable working environment:

• Work from our Kyiv hub or remotely with a flexible schedule 
• Modern equipment or depreciation of your own tools
   

Investment in your future:

• Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking niche
• 70% of our heads and leads have grown into their roles here – so can you!
• Performance-oriented reviews and Individual Development Plans (IDPs)
• Reimbursement for professional courses and English classes
• Corporate library, book club, and knowledge-sharing events
   

Hiring process

• Intro call
• Technical Interview
• Final Interview
• Reference check
• Offer

We believe in thinking big – creating solutions that have a meaningful, far-reaching impact, whether through digitizing governments, improved healthcare, convenient telecom services or creating a competitive edge and agility for large businesses, industry, and manufacturing companies. Our projects have touched more than half a billion people’s lives worldwide, and the vision is to build a Seamless Society.

To reach our ambitious goals, we are looking for a Senior Software Developer.

Responsibilities
Have good communication skills (spoken and written) with fluent English as essential
Like a challenge of collaboration with globally distributed teams
Articulates the high-level business value on projects
Creates and maintains documentation of APIs and technical user stories
Approve technical concepts of realizations
Knows and can explain ways to automate documentation generation
Run an agile Scrum or Kanban process for a team when needed
Identify performance issues with software applications and troubleshoot performance problems in distributed systems
Coordinate evaluation of tools and frameworks for the engineering team
Analyze and understand flows and end-to-end interactions for a distributed system

5+ years of experience

Qualifications
Proficient knowledge of Java and Spring Framework
Know the major Java frameworks and libraries
Cloud native development experience from one of the major providers: AWS, GCP or Azure
Knowledge of Docker/Kubernetes is considered as plus
Understands different types of programming methodologies (functional vs. object-oriented, imperative vs. declarative) and scenarios where each would be applicable
Optimizes SQL schemas and understands NoSQL solutions and trade-offs involved
Proficient using version control systems, preferably Git
Proficient and capable to introduce and setup CI and DevSecOps practices
Understands and implements performance and security testing practices

About the company

We are a global digital consulting and engineering organization. We combine large-scale transformation capability with an agile delivery model, working across public and private sector clients worldwide. The environment is low-hierarchy, collaborative, and focused on solving complex distributed system challenges with modern engineering practices.

💡About Epom:

We are a family of ad tech products designed for meaningful advertising. Our brand is an early adopter of programmatic and ad tech innovations. We entered the industry at its dawn and honed an ad serving technology to perfection.

Today, we produce solid pieces of ad technology to empower brands, agencies, and networks. We make ad tech accessible, transparent, and effective for our clients. On the other side, we are flexible, friendly, and value the human approach to the business.

⚡️Epom Product: 

White-label DSP

A sleek toolkit for your programmatic campaigns. Thanks to a refined set of Bidding Autopilot algorithms, it works — you just revise. The white-label functionality guarantees 100% data transparency, custom targeting options, no bid markups, and all admin benefits.

⚙️Technology stack: 
JavaScript, TypeScript, Angular, RxJs, HTML, CSS  

SDLC: Jira, Bamboo, Bitbucket, SonarQube, Confluence, Git
 

📈Your Responsibilities: 
Lead the frontend development team: plan sprints, distribute tasks, track delivery and quality  

Drive architectural decisions for the frontend layer, ensuring scalability and long-term maintainability  

Own and enforce code quality standards through systematic code reviews and automated quality gates (SonarQube)  

Collaborate closely with UX, Product Owners, Backend leads and stakeholders to shape technical solutions  

Define and evolve frontend guild standards: coding style, component architecture, testing practices, and CI/CD pipelines  

Mentor and grow Mid/Junior frontend developers through 1:1s, technical guidance and constructive feedback  

Participate in hiring: conduct technical interviews and evaluate frontend candidates  

Identify and proactively address technical debt, performance bottlenecks, and security concerns

🪄Your Experience & Skills: 
 2+ years of experience developing web applications, with at least 1–2 years in a tech lead or lead developer role  

Deep expertise in Angular, RxJs, TypeScript and modern JavaScript ecosystem  

Proven experience designing and implementing scalable frontend architectures  

Strong understanding of performance optimization, cross-browser compatibility and adaptive/responsive design  

Proficiency with SCSS/SASS and design system collaboration via Figma Solid experience with the full SDLC toolchain: Git, Jira, Bamboo, Bitbucket, Confluence  

Strong communication skills — ability to align technical and non-technical stakeholders  

Experience with CI/CD pipelines and code quality tooling (SonarQube or similar)

💎We offer:

🔹 Great team ready to assist and give feedback on any stage to celebrate great results together;

🔹 Ongoing opportunities and personal growth in a leading ad tech company;

🔹 Flexible working hours (start your day between 9:00 and 10:00);

🔹 Wellbeing program;

🔹 PE accounting support;

🔹 Paid vacation and sick leaves;

🔹 Social events;

🔹 Good salary in USD that matches your skills and experience.

CHIEF MARKETING OFFICER (CMO)

Remote | South Africa Preferred | iGaming / Betting
 

ABOUT THE COMPANY

We are a fast-growing international iGaming company operating in the South African market. Following a successful launch phase, the business is now entering a new stage of growth and scaling.

Our product portfolio includes both mass-market and premium betting brands, with a strong focus on customer acquisition, retention, and brand development. We are building a high-performance team that combines operational excellence, entrepreneurial mindset, and deep market expertise.

As part of our growth strategy, we are looking for an experienced marketing leader who can take ownership of the entire marketing function, build scalable processes, and drive sustainable business growth.
 

ABOUT THE ROLE

We are looking for a hands-on Chief Marketing Officer (CMO) to lead and scale the company's marketing organization.

This role combines strategic leadership with operational execution. You will oversee all major marketing functions, including CRM, Affiliate Marketing, Organic Growth, Social Media, Digital Marketing, and Brand initiatives.

The ideal candidate has experience working in iGaming or Betting, understands performance-driven marketing, and is comfortable operating in a fast-paced startup environment where building teams and improving processes are equally important as delivering business results.

You will work directly with the CEO and Executive Team and play a key role in shaping the company's future growth strategy.
 

GOALS FOR THE FIRST 90 DAYS

• Conduct a full audit of current marketing operations, team structure, channels, and performance

• Ensure continuity of ongoing marketing initiatives while identifying improvement opportunities

• Evaluate existing marketing processes and implement quick wins

• Assess team capabilities and identify hiring needs

• Build a roadmap for marketing optimization and future scaling

• Establish clear KPIs and reporting frameworks across all marketing functions

• Develop a strategic growth plan aligned with business objectives
 

WHAT YOU WILL DO

• Own and execute the overall marketing strategy across all acquisition and retention channels

• Lead CRM, Affiliate Marketing, Organic Marketing, Social Media, Digital Marketing, and Brand Marketing initiatives

• Build, manage, mentor, and scale the marketing team

• Develop marketing processes, reporting structures, and operational frameworks

• Analyze channel performance and allocate budgets based on ROI and business impact

• Identify growth opportunities and launch new acquisition initiatives

• Improve customer acquisition, retention, and lifetime value metrics

• Work closely with Product, Operations, and Executive teams to support business growth

• Drive marketing innovation, testing, experimentation, and optimization

• Ensure compliance with local regulatory and licensing requirements

• Provide regular reporting, insights, and recommendations to senior leadership

• Act as a key stakeholder in strategic business decisions

WHAT WE ARE LOOKING FOR

• 5+ years of experience in iGaming, Betting, or performance-driven digital marketing

• 3+ years in a leadership position managing multiple marketing functions

• Strong experience across CRM, Affiliate Marketing, Organic Growth, Digital Marketing, and Social Media

• Proven experience building and scaling marketing teams

• Experience developing marketing strategies and managing budgets

• Strong analytical mindset and ability to make data-driven decisions

• Experience working in startup or scale-up environments

• Ability to balance strategic thinking with hands-on execution

• Strong stakeholder management and communication skills

• B2+ English
 

NICE TO HAVE

• Strong understanding of the South African betting market

• Experience working with licensed betting operators

• Experience managing multi-channel marketing organizations

• Experience launching or scaling betting brands

• Experience building marketing teams from scratch
 

WHY JOIN US

• Opportunity to lead the entire marketing function and shape company growth

• Direct collaboration with founders and executive leadership

• High level of ownership and decision-making authority

• Ability to build and structure your own team

• Fully remote work environment

• Fast-growing company with ambitious expansion plans

• Competitive compensation package

• Future performance-based bonus program

• Potential participation in share option programs

• Dynamic startup culture with significant growth opportunities

• Opportunity to make a measurable impact on business performance

About the Role

We are expanding our team and looking for a DevOps Engineer to join our RnD department. You will be responsible for building, maintaining, and optimizing our infrastructure, ensuring high availability and performance of services across multiple internal systems. This is a great opportunity to work on high-load projects, improve reliability, and contribute to scalable architecture solutions.

Who We Are

Our RnD department is a key driver of innovation in the company, consisting of multiple teams that develop CRM systems, marketing tools, CMS, payment solutions, and internal platforms. We focus on automation, scalability, and performance, building systems that support business growth across multiple products and regions.

Why Join Us?

• You’ll work on high-load, scalable infrastructure supporting critical business systems.
• You’ll have the opportunity to design and improve DevOps processes, including CI/CD, monitoring, and cloud infrastructure.
• We use modern technologies and cloud solutions, with a strong focus on automation and reliability.
• You’ll collaborate closely with backend developers, DevOps engineers, QA, and architects.
• We encourage knowledge sharing, and continuous improvement of processes and tools.

Requirements

Must-Have:

• 2+ years of experience as a DevOps Engineer.
• Strong hands-on experience with Kubernetes, including creating and maintaining Helm charts.
• Deep understanding of Docker and Docker Compose, experience building service images.
• Experience with cloud platforms such as AWS and DigitalOcean.
• Experience building and maintaining CI/CD pipelines (GitLab CI, GitHub Actions).
• Experience with database setup and clustering (PostgreSQL, MySQL, MongoDB).
• 3+ years of experience with Linux administration.
• Experience deploying and supporting PHP applications (php-fpm, Roadrunner).
• Experience configuring and optimizing web servers (Nginx, Traefik) and working with Cloudflare.
• Experience with monitoring and logging stack: Prometheus, Grafana, ELK.
• Scripting skills for automation (Python, Bash).

Nice-to-Have:

• Experience with EKS or managed Kubernetes services.
• Experience with ArgoCD or GitOps approaches.
• Experience designing and maintaining High Availability architectures.
• Experience with Infrastructure as Code (Terraform, Ansible).
• Understanding of cloud security best practices.

Responsibilities

• Maintain and improve the company’s infrastructure and DevOps processes.
• Ensure high availability, stability, and performance of services.
• Investigate and resolve production incidents.
• Develop and maintain monitoring, logging, and alerting systems.
• Organize and improve backup and disaster recovery processes.
• Collaborate with development teams to optimize deployment and infrastructure workflows.
• Participate in planning and designing system architecture and environments.

Benefits

• 18 business days of paid vacation + public holidays compensation.
• Insurance Fund of the company.
• Partial coverage of professional courses.
• Coverage of sick leaves, sports activities, and English language courses.

TeqBlaze is an international AdTech company specializing in white-label programmatic solutions for businesses worldwide.

Since 2014, the company has been building scalable technology products that help clients launch and manage their own advertising ecosystems, including SSPs, DSPs, Ad Exchanges, Ad Servers, and AI-driven monetization tools.

Today, TeqBlaze works with partners across the US, Europe, and LATAM markets, helping them optimize traffic, improve monetization, and automate internal processes.

As the company continues to grow, TeqBlaze is looking for an AdOps Specialist: proactive, analytical, and comfortable working in a fast-paced programmatic environment. 

Our candidate has a strong understanding of the AdTech ecosystem, enjoys solving technical challenges, and communicates confidently with international partners. 

This role is on the client side of our white-label programmatic platform, helping partners manage and optimize their advertising infrastructure and monetization processes.

What you will be doing:

• supporting the technical onboarding of new partners, including DSPs, SSPs, and publishers;
• testing integrations and validating initial launches;
• configuring and optimizing platform settings to improve traffic quality and revenue performance;
• communicating daily with international partners via email and calls, troubleshooting issues, and sharing performance updates;
• monitoring and analyzing key metrics such as fill rate, win rate, and eCPM to identify optimization opportunities;
• performing regular financial and technical reconciliations between platform data and partner reports;
• investigating discrepancies and collaborating with internal teams to resolve them;
• monitoring traffic quality and helping identify invalid or low-quality traffic patterns.

Your background:

• 2+ years of AdOps experience within a programmatic environment (SSP, DSP, ad network, or publisher side);
• good understanding of the programmatic ecosystem and industry standards, including OpenRTB, ads.txt, and key performance metrics;
• excellent English level, you’ll communicate with international clients daily;
• strong analytical skills and confidence working with excel or google sheets;
• high level of independence, attention to detail, and ability to adapt quickly to new processes and tasks.

TeqBlaze offers:

• fully remote work within Ukraine or the EU, with optional office access in Kyiv or Lviv;
• work with international clients and well-known brands across global markets;
• paid vacation and sick leaves, covered medical insurance;
• hands-on experience with large-scale programmatic products and cutting-edge advertising technologies;
• participation in team building activities, corporate parties with colleagues beyond work.

Let`s talk.

About us

DroneOps is a company creating innovative UAV-related products, focused on UAV autonomy and navigation, founded in 2023. We are a team of innovators and inventors who take on the duty to help the armed forces of Ukraine defend our country and democracy by providing reliable advanced systems that simplify their work, improve personnel safety, and enable more cost-effective and precise UAV mission execution.

Overview

We are looking for a Middle / Senior Computer Vision / Deep Learning Engineer to extend our onboard navigation capabilities with modern perception and learning-based methods.

This is a hands-on R&D role: you work from research and prototypes to production on edge hardware, collaborate with software, and flight teams, and help shape how new CV/DL features are built and shipped. The role suits someone who can follow state-of-the-art work, implement what fits our constraints, and care about real-world performance—not only offline benchmarks.

Responsibilities

Relocalization & navigation

• Design and develop satellite, map, and semantic navigation capabilities that improve the overall quality of our navigation
• Build and maintain pipelines for map and reference-data preparation before missions
• Extend the existing visual-inertial navigation stack with relocalization and map-based aiding features
• Develop training pipelines for these tasks (data preparation, training, evaluation, and iteration)
• Create utilities that make map preloading and mission setup convenient for operators and integrators
•  

Research & implementation

• Track relevant research and industry approaches; prototype and adopt methods where they clearly improve the product
• Reimplement or adapt algorithms when off-the-shelf solutions do not fit our data, hardware, or latency requirements
• Define evaluation metrics and acceptance criteria for new features before field and deployment rollouts
•  

Edge deployment & production

• Optimize models and inference for target onboard hardware
• Integrate new features into the production codebase with stable APIs, logging, and failure handling
• Take part in architecture decisions, code review, and team practices that keep production quality high as the stack grows
•  

Required skills & experience

• 3+ years of practical experience in computer vision and deep learning
• Strong Python; ability to write clear, maintainable code for experiments and production paths
• Experience with training and deploying deep learning models (PyTorch)
• Familiarity with model optimization for edge or embedded devices (pruning, quantization, ONNX/TensorRT-class tooling, or equivalent)
• Comfort working with geospatial or map-related data and preprocessing pipelines
• Practical production mindset: reproducible experiments, versioning, and validation on real data
• English B2+ for documentation and technical discussion; Ukrainian for day-to-day team communication
•  

Nice to have

• Experience with deep learning keypoint detection and matching approaches
• Comfortable with geometric computer vision (camera models, epipolar geometry, robust estimation)
• Multi-sensor fusion / SLAM / EKF background
• UAV, robotics, or aerospace field experience
• Experience with satellite or aerial imagery, semantic segmentation, or visual place recognition
•  

What we offer

• Team eager to share the knowledge we have and help you become proficient across a wide range of areas;
• Courses and investment in your professional growth;
• Work on game-changing products which have real impact on the world;
• Team which share common values and meanings, help and support each other;
• Possibility to create, test and improve real autonomous aircrafts;
• Official employment, booking, 21 days of vacation;
• There is some food in office, water, beer, cigarettes;
• You will definitely not be the same as before!

We are the Product Security team, responsible for the security, reliability, and trust of Raiffeisen Bank’s digital ecosystem.
Our mission is to embed security at every stage of the software development lifecycle and continuously strengthen the resilience of our services.

We are looking for an AI Engineer (Security) — a specialist who combines strong software engineering experience, hands-on expertise with LLMs and AI tools, and a desire to apply these skills within the cybersecurity domain.

In this role, you will design AI-driven solutions to automate security team processes, assess the security of AI systems implemented across business and IT, and help colleagues integrate AI into their daily workflows.

Your future responsibilities:

In this role, you will be responsible for designing and implementing AI solutions for security teams. You will build LLM agents, RAG systems, AI pipelines, and integrations using modern tools.

At the same time, you will implement a Shift-Left AI Security approach — embedding AI security checks early in the development lifecycle by integrating them into CI/CD pipelines and SSDLC processes. This includes:

• Analyzing AI-specific threats
• Managing Shadow AI risks
• Helping Security team to build tools for conducting security reviews of AI products before they go into production
• Defining architectural standards for AI security tooling across the organization
• Mentoring engineering teams on secure AI integration patterns and best practices
• Leading technical decision-making for AI security infrastructure choices

If you are passionate about combining artificial intelligence and cybersecurity in a complex, technology-driven financial environment — this role is for you.

Your skills and experience:

• 5+ years of software development experience
• Strong proficiency in Python and other programming languages for building automation, scripts, and integrations
• Hands-on experience with LLMs: prompt engineering, building chains/agents, working with model APIs (e.g., OpenAI, Anthropic)
• Experience with LLM frameworks
• Practical use of AI assistants in development (e.g., GitHub Copilot, Claude Code, Cursor or similar)
• Understanding of RAG architectures: vector databases, embedding models, chunking strategies
• Knowledge of OWASP Top 10 for LLM Applications
• Ability to rapidly prototype — from idea to working PoC in days, not months
• Experience influencing technical direction across multiple teams or projects
• Track record of knowledge transfer — documentation, workshops, or internal enablement

Will be a plus:

• Experience with model fine-tuning
• Knowledge of Cloud AI services: Azure OpenAI, AWS Bedrock, GCP Vertex AI
• Basic understanding of information security processes (SOC, Incident Response, AppSec, GRC)
• Familiarity with NIST AI RMF, EU AI Act, or other AI regulations
• Experience building multi-agent systems
• AI or Cloud certifications

Personal Qualities:

• Practitioner mindset — not just understanding LLMs, but having built real solutions
• Self-sufficiency — ability to take ownership from problem to solution without micromanagement
• Strong communication skills — able to explain complex topics in simple terms to non-AI teams
• Curiosity and adaptability in a fast-evolving AI landscape
• Focus on delivering measurable business value
• Ability to lead by expertise — guiding teams without formal authority

We offer what matters most to you:

• Competitive salary: we guarantee a stable income and annual bonuses for your personal contribution. Additionally, we have a referral program with rewards for bringing in new colleagues to Raiffeisen Bank. 
• Social package: official employment, 28 days of paid leave, additional paternity leave, and financial assistance for parents with newborns. 
• Comfortable working conditions: possibility of a hybrid work format, offices equipped with shelters and generators, modern equipment. 
• Wellbeing program: all employees have access to medical insurance from the first working day; consultations with a psychologist, nutritionist, or lawyer; discount programs for sports and purchases; family days for children and adults; in-office massages. 
• Training and development: access to over 130 online training resources; corporate training programs in CX, Data, IT security, leadership, agile, сorporate library. 
• Great team: our colleagues form a community where curiosity, talent, and innovation are welcome. We support each other, learn together, and grow. You can find like-minded individuals in over 15 professional communities, reading clubs, or sports clubs. 
• Career opportunities: we encourage advancement within the bank across functions. 
• Innovations and technologies: Infrastructure: AWS, Kubernetes, Docker, GitHub, GitHub actions, ArgoCD, Prometheus, Victoria, Vault, OpenTelemetry, ElasticSearch, Crossplain, Grafana. Languages: Java (main), Python (data), Go (infra, security), Swift (IOS), Kotlin (Android). Data stores: Sql-Oracle, PgSql, MsSql, Sybase. Data management: Kafka, AirFlow, Spark, Flink. AI: building expertise and actively integrating into processes. 
• Support program for defenders: we maintain jobs and pay average wages to mobilized individuals. For veterans, we have a support program and develop the Bank’s veterans community. We work on increasing awareness among leaders and teams about the return of veterans to civilian life. Raiffeisen Bank has been recognized as one of the best employers for veterans by Forbes. 

Why Raiffeisen Bank? 

• Our main value is people, and we support and recognize them, educate them and involve them in changes. Join Raif’s team because for us YOU matter! 
• One of the largest lenders to the economy and agricultural business among private banks. 
• Recognized as the best employer by EY, Forbes, Robota.ua, Stud-Point, Delo.UA, NV, Odgers, UAFIC. 
• The largest humanitarian aid donor among banks (Ukrainian Red Cross, UNITED24, Superhumans, СМІЛИВІ). 
• One of the largest IT product teams among the country’s banks. 
• One of the largest taxpayers in Ukraine; 6 billion UAH were paid in taxes in 2025. 

Opportunities for Everyone: 

• Raif is guided by principles focused on human development and the well-being of 5,000 employees and over 2.5 million clients. 
• We uphold the principles of diversity, equity, and inclusion. 
• We are open to hiring veterans and people with disabilities and are ready to adapt the work environment to meet your specific needs. 
• We collaborate with students and experienced professionals alike, creating opportunities for growth at every stage of a career 

You matter at Raif! 

Want to learn more? — Follow us on social media:

Facebook, Instagram, LinkedIn