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

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

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

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 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

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.

We are seeking a talented and experienced Senior C++ Engineer to join our innovative team. Our project aims to transform traffic management technology through a cutting-edge platform that utilizes advanced sensor fusion to manage complex junction scenarios. If you are passionate about driving technological advancements and enjoy working on challenging problems, we want to hear from you!

Responsibilities:

• Develop and implement interfaces with various sensors within the ROS2 framework.
• Integrate ROS2 nodes with other system components to ensure cohesive functionality.
• Design, implement, and maintain ROS2 nodes (expected to be written in Python and C++)
• Optimize code to enhance performance and efficiency, ensuring robust and scalable solutions.
• Participate in code reviews to uphold high coding standards and promote best practices within the team.

• Write and maintain automated tests to ensure sufficient code quality

   

Requirements:

• 5+ years of experience and strong expertise in C++ programming.
• Familiarity with Python for developing ROS2 nodes.
• Proven track record in developing robotic applications using ROS2, or strong experience with Inter-Process Communication (IPC) technologies (e.g., D-Bus, Binder, or similar) with the ability to quickly ramp up on ROS2.
• Hands-on experience with integrating various sensors into complex systems.
• Understanding of machine learning techniques applied to perception and decision-making tasks.
• Experience with real-time operating systems and real-time programming concepts.
• Experience with Docker, Kubernetes, Helm, Jenkins, and CI/CD practices.
• English level: Upper-Intermediate or higher

Nice to have:

• Familiarity with DDS (Data Distribution Service)

• Knowledge of additional technologies and tools related to robotic systems and sensor integration.

   

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

We are looking for a Lead MATLAB/Simulink Engineer with strong C/C++, embedded systems, and practical hardware-oriented engineering experience to join one of our growing engineering directions. In this role, you will focus on developing system models, control algorithms, simulation logic, and embedded software solutions for real-time systems, while contributing to hardware integration, testing, and validation activities.

Responsibilities:

• Develop system models, control algorithms, and simulation logic in MATLAB/Simulink
• Develop embedded software components in C/C++ for real-time or near-real-time systems
• Build and validate Digital Twin / Digital Shadow solutions
• Integrate models, embedded software, ROS2 nodes, sensors, actuators, controllers, and test benches
• Prepare and execute MIL, SIL, PIL, and HIL test scenarios
• Support lab bring-up, hardware integration, debugging, measurements, and validation on real equipment
• Maintain technical documentation, including requirements, design notes, interfaces, test descriptions, test reports, and integration notes

• Ensure traceability between requirements, models, code, tests, and verification results

   

Requirements:

• Preferred education in Applied Mathematics, Physics, Automation & Control Systems, Robotics, Embedded Systems, Electronics, Automotive Engineering, Mechatronics, or Industrial Automation
• Strong MATLAB/Simulink-based model development and system simulation
• Embedded C/C++ development for real-time or near-real-time systems
• Practical experience with physical hardware, sensors, actuators, and measurement equipment
• Experience with MIL / SIL / PIL / HIL testing
• Control systems, robotics, automotive, or industrial automation background
• ROS2 or similar robotics/control framework experience
• Ability to document engineering work clearly and consistently
• Tools / Technologies: MATLAB, Simulink, Simscape, Stateflow, System Composer, Embedded Coder, Simulink Test, Requirements Toolbox, Instrument Control Toolbox, ROS Toolbox / ROS2, C++, Python, Jenkins, Git, Jira
• English: Upper-Intermediate or higher

Nice to have:

• Computer Vision experience
• AI / ML experience
• Gazebo, NVIDIA Jetson, TensorRT, or similar edge AI platforms
• Automotive diagnostics, BMS, powertrain, or robotic safety systems
• Functional safety understanding

• CI/CD experience for model-based or embedded software development

   

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

Our client is a US-based remote-online-learning provider serving students through live digital instruction and operational student-support workflows. Together with Nucleus AI, the client is building the CCA Wellness Check Compliance Platform — a focused internal system for recording, tracking, and proving weekly student wellness checks.

The platform is designed to solve a concrete compliance and operations problem: the school needs a reliable way to confirm that weekly student wellness checks happened, maintain an auditable record, identify students who were not seen, and support escalation workflows when follow-up is required.

The MVP is time-sensitive and must be production-ready before the August teacher training window and September operational launch.

You’ll join a delivery team building a practical compliance platform from the ground up, working closely with product, engineering, QA, delivery, and client stakeholders.

Responsibilities

Fullstack Product Development

• Build and maintain end-to-end product features across backend services and frontend application layers.
• Work with frontend frameworks such as React, Angular, or Blazor to deliver user-facing functionality.
• Integrate frontend applications with backend APIs and ensure smooth client-server communication.
• Debug issues across the full application stack, including frontend behavior, API contracts, backend logic, database interactions, and deployment environments.
• Collaborate with product, design, frontend, backend, and AI/ML teams to translate requirements into working product features.
• Ensure frontend and backend changes are aligned, tested, and production-ready.

Backend Development & Architecture

• Design and build scalable backend services using .NET Core / .NET Framework.
• Develop RESTful APIs and microservices using ASP.NET Core.
• Apply clean architecture principles and enforce coding standards.
• Ensure systems are performant, secure, and maintainable.

Cloud & Infrastructure

• Build and operate services on Microsoft Azure, including App Services, Functions, Azure SQL, and AKS.
• Implement CI/CD pipelines using Azure DevOps or GitHub Actions.
• Work with containerized environments such as Docker and Kubernetes.
• Ensure system reliability, monitoring, and disaster recovery strategies.

Code Quality & Performance

• Conduct code reviews and enforce best practices across backend and frontend codebases.
• Implement unit, integration, and end-to-end testing where appropriate.
• Monitor, profile, and optimize system performance across application layers.

Security & Compliance

• Implement secure authentication and authorization using OAuth, JWT, or similar approaches.
• Follow OWASP best practices.
• Ensure data protection and system integrity.

Documentation & Improvement

• Document technical decisions, API contracts, system behavior, and development workflows.
• Continuously improve system design and development workflows.
• Stay current with .NET, frontend, and cloud ecosystem developments.

Requirements

• 5+ years of professional engineering experience, with strong commercial experience in .NET / C#.
• Strong experience with ASP.NET Core, Web API, Entity Framework, and SQL Server.
• Hands-on frontend experience with React, Angular, Blazor, or a comparable modern frontend framework.
• Ability to build fullstack features from database and backend logic through API design and frontend implementation.
• Experience integrating frontend applications with REST APIs and debugging client-server issues.
• Hands-on experience with Microsoft Azure.
• Experience with CI/CD pipelines and Git.
• Experience with Docker and Kubernetes.
• Strong understanding of SDLC, SOLID, and design patterns.
• Experience with unit testing frameworks such as xUnit, NUnit, or MSTest.
• Ability to debug and resolve complex issues across the full application stack.
• Strong communication skills and ability to work closely with cross-functional teams.
   

Nice to Have

• Experience with React or AngularJS.
• Experience with messaging systems such as RabbitMQ, Kafka, or Azure Service Bus.
• Familiarity with NoSQL databases such as Cosmos DB or MongoDB.
• Azure certifications.
• Experience in LMS, edtech, legal-tech, fintech, or data-heavy platforms.
• Experience working with AI-assisted systems, AI/ML integrations, or data-driven product features.

What Matters for This Role

• Ownership mindset — ability to take responsibility for features and systems end-to-end.
• Strong backend engineering foundation combined with practical frontend delivery skills.
• Comfort working in ambiguous, fast-moving environments.
• Strong engineering judgment and pragmatic decision-making.
• Ability to collaborate across backend, frontend, cloud, product, and AI/ML teams.

We are seeking an elite, highly independent Principal Software Engineer & Architect who views advanced AI coding harnesses and multi-agent frameworks not as a crutch, but as a force multiplier for rapid, high-quality execution.

In this role, you will not be a cog in a massive machine, nor will you be stuck managing a single legacy codebase. Instead, you will act as a solo "special forces" engineer, moving dynamically from project to project. You will take loose, highly ambiguous business requirements and autonomously transform them into production-ready, enterprise-grade software. Your projects will span the entire functional spectrum—from building complex client portals to engineering mission-critical dispatch systems.

Because our applications deploy across a mix of Azure cloud and secure, on-premises environments, you must possess an uncompromising mindset regarding data sovereignty, rigid deployment constraints, and architectural security.

What You Will Do

• Architect & Execute: Autonomously design, code, and deploy secure, scalable applications from scratch using C#/.NET and JavaScript/Node.js. You own the entire pipeline from blueprint to production.
• Navigate Ambiguity: Translate vague, high-level business concepts into robust system architectures without requiring granular specifications or hand-holding.
• Adapt and Pivot: Shift gears fluidly between rapid-prototyping greenfield sprints (2–4 weeks) and deep-dive enterprise deployments (3–6 months).
• Own the Security Lifecycle: Ensure all codebases are rigorously hardened against the OWASP Top 10 and strictly adhere to secure, on-premises infrastructure requirements.
• Orchestrate AI Workflows: Integrate your own preferred multi-agent frameworks and AI toolchains to accelerate development velocity, while maintaining absolute human oversight of logic, edge cases, and architectural integrity.

Who You Are

• An Independent Thinker: You don't wait for a ticket to be fully groomed. You figure out what needs to be built, challenge assumptions when necessary, and deliver the right solution.
• An AI Realist: You understand that AI is prone to hallucinations and lazy logic. You know how to orchestrate multi-agent workflows to handle the heavy lifting, but your own architectural expertise is what ensures the system is stable, secure, and performant.
• A Full-Stack Enterprise Builder: You have deep, production-tested experience within both the Microsoft ecosystem (C#, .NET) and modern JavaScript/Node.js environments.
• A Security-First Engineer: You have a proven track record of architecting for strictly controlled, hybrid, or on-prem environments where security cannot be an afterthought.

Requirements

• 7+ years of experience in enterprise-level software engineering and hands-on system architecture.
• Mastery of C# / .NET and JavaScript / Node.js.
• Strong experience designing hybrid architectures spanning Azure cloud and on-premises infrastructure.
• Deep, practical understanding of OWASP Top 10 principles and secure coding practices.
• Proven experience leveraging advanced AI coding assistants, custom multi-agent frameworks, or LLM-orchestrated workflows to significantly compress delivery timelines.
• Exceptional ability to work entirely solo, owning projects from concept to deployment.

Why Join Us?

If you are tired of endless committee meetings, rigid corporate bureaucracy, and being locked into one mundane codebase for years, this is your playground. You will have the autonomy to choose your own AI workflow toolchain, the freedom of a fully remote position, and the challenge of building entirely different enterprise systems from scratch back-to-back.