Jobs Kyiv

Help99 https://www.help99.co/ is Europe’s most effective NGO focused on supplying Ukraine’s frontline with pickup trucks and drones. Rooted in the European startup ecosystem, our early supporters include founders and investors, and our donor base has grown to 42,000+ NAFO fellas globally.

We’ve organized 54 convoys, delivered almost 1,000 trucks, and moved €23M in aid. But the frontline is shifting, and we need to adapt just as fast.

That’s why we’re hiring.

🚀 Help99 is hiring: Marketing Lead (Fundraising & Growth)

Location: Tallinn, Estonia or Kyiv, Ukraine

We are looking for a strong growth operator to help us scale fundraising and grow our donor community.

This is not a generic marketing lead role.

We already run campaigns, work with influencers, and operate across multiple channels. What we need now is someone who brings a new view and new skills we do not yet have.

The gap is not “more posting.”

The gap is finding new funnels, testing them fast, and scaling what actually brings donations.

You will work directly with the founders and help build the next fundraising engine for Help99.

What you’ll do:

🧪 Find & Test: Build new fundraising funnels beyond our current core channels and test ideas fast.

📊 Read the Signal: Analyze campaign, website, donor, and channel performance — and turn data into action.

⚡️ Scale What Works: Spot winning ideas, improve them fast, and turn them into repeatable growth models.

🤝 Build Partnerships: Work with influencers, partners, and collaborators to create new fundraising formats.

🎯 Drive Results: Improve how we measure ROI, conversion, donor growth, and campaign performance.

🧠 Lead Projects: Coordinate people and experiments across paid, organic, website, email, and partner channels.

Who you are:

📈 Analytical: You know how to read data, spot patterns, and make smart decisions fast.

💡 Creative: You generate ideas, test them in the real world, and are not afraid to kill weak ones.

🛠️ Operator: You like building systems, not just throwing out ideas.

👥 Lead: You have some team lead experience and can coordinate people and move projects forward.

🌍 Communicator: Strong English is a must.

🔥 Driven: High ownership, hands-on mindset, and real hunger to grow donations.

Big pluses:

YouTube growth, influencer-led campaigns, e-commerce, non-profit fundraising, performance marketing, or building online communities.

What matters most:

Your main KPI is simple: grow donations and our donor community.

What we offer:

💰 Salary: €2,500–€3,000 gross/month

🏢 Location: Tallinn or Kyiv

⚡️ Ownership: Real autonomy, direct access to founders, and fast decision-making

🇺🇦 Impact: Your work will directly help us raise more money, move faster, and save lives

This is an NGO, not a venture-funded startup.

But for the right person, this role offers something better: real ownership, visible impact, and a chance to help build a fundraising machine that actually matters.

If you are strong in analytics, growth, testing, and building new fundraising engines — we want to talk.

AI-First Senior Software Engineer

Ukraine, Kyiv  On-Site · Full-Time

Company: Orbox.ai - AI-Native PropTech Operating System for Real Estate

Location: Ukraine, Kyiv - on-site, office in the city centre

Employment: Full-time, permanent

Seniority: Senior

Reports to: Tech Lead

Works with: AI-Engineer, Product Analyst, UI/UX Designer, QA Engineer

PropTech experience: Not essential, very good if has direct or indirect experience

English: Advanced (B2-C1)

About

We are building an AI-native operating system for real estate. The product is a PropTech platform where LLMs and AI agents are not bolted on top - they are the architecture. Owners, operators and guests interact with the AI system through natural language. AI autonomously generates compliance documents, routes staff, answers guest queries from a RAG-indexed knowledge base in real time and orchestrates financial split-payments.

But the product is only half of it.

We are equally an AI-first delivery organization. The way we discover, define and ship is as differentiated as what we ship. Specs, stories and designs are machine-readable artifacts our coding and review agents consume directly - and senior engineers are the ones who design the system, direct the agents and own every line that reaches production.

The role

This is the role that turns machine-readable specs into production software - by leading AI agents, not by typing every line yourself.

You will report directly to the Head of Delivery & Product, with short decision loops to founders and direct access to product, design and QA.

This is a hands-on senior engineering role at the core of the delivery machine. Most of our code is written by AI coding agents against machine-readable specs. That makes senior engineering judgment more valuable, not less: agents write fast, but still pick wrong abstractions, miss edge cases, leak data across tenants and ship code that passes its own tests and breaks in production. You are the engineer who designs the system, sets the guardrails and owns what gets merged.

You will build and ship features end to end across backend, frontend and integrations: service design, data models, APIs, UI, government and third-party integrations, AI features (LLM agents, RAG, document generation) and the infrastructure they run on.

You will work side by side with the AI-First Product Analyst (who writes the specs), Product Designers (who own the mockups) and QA (who holds the release bar). You will use our shared Claude Team / Claude Code with premium seating along with the company's AI tools daily, deeply and natively - not as a novelty, but as the default way you work.

We operate in a fast-moving startup environment where speed and precision both matter. You must be opinionated about which engineering tasks AI does well today (boilerplate, refactors, tests, migrations, docs), which it does not (architecture, security boundaries, trade-off calls, debugging subtle production issues) - and how to combine both deliberately.

What you will own & do

AI-First Engineering

• Daily, deep, native use of AI coding agents for implementation from specs, refactoring, test writing, code review, debugging and documentation.

• Treat agents like a team you lead: clear specs in, reviewed code out - you own the context, rules files, guardrails and the review bar.

• Build and improve our agentic delivery pipeline: repo conventions, agent instructions, MCP tooling and CI checks that keep agent output safe to merge.

• Contribute to internal evals from the engineering side: define what “good” looks like for AI-generated code and for our user-facing AI features.

Product Engineering

• Own features end to end: from spec & acceptance criteria to design, implementation, tests, deployment and monitoring on prod.

• Design clean service boundaries, data models and APIs for a multi-tenant B2B2C platform with role-based access.

• Build complex frontend surfaces: dashboards, real-time data, multi-step workflows, back-office tooling.

• Integrate with government and regulatory APIs, payment providers and third-party systems - reliably, idempotently, with proper error handling and audit trails.

AI & LLM Systems

• Build production AI features: LLM agents, tool calling, RAG pipelines, compliance document generation - with grounding, fallbacks and cost control.

• Engineer the non-deterministic layer: prompt versioning, structured outputs, guardrails against hallucinations and prompt injection, tenant-safe retrieval.

• Instrument AI behaviour with tracing, logging and metrics - treat AI output as something to be measured, not trusted.

Engineering Quality & Ownership

• Own the merge bar: review agent and human PRs, enforce architecture, security and performance standards.

• Write automated tests and CI that make agent output safe to ship; partner with QA on test strategy and release readiness.

• Feed spec & story defects back upstream: when the work item is wrong or ambiguous, it gets fixed at the spec layer, not hacked around in code.

• Shape the engineering practice at an early stage: conventions, environments, observability, incident handling - lightweight enough for startup speed, rigorous enough to trust.

What we are looking for

Must have

• 4+ years of hands-on software engineering on production web products, with senior-level ownership of a system or major product area.

• Strong full-stack skills: modern backend (TypeScript / Node.js or Python), modern frontend (React / Next.js or similar) and relational databases (PostgreSQL or similar).

• Daily, deep, native use of AI coding tools (Claude Code, Cursor or similar) in your engineering workflow. You have a real, opinionated workflow built around them and can defend your choices.

• Hands-on experience building LLM-based features: agents, tool calling, RAG, structured outputs - shipped to production, not just demos.

• Solid system design: multi-tenant SaaS, role-based access, API design, async processing, third-party integrations.

• Critical code review skills: you read AI-generated code with suspicion and catch what agents miss - security holes, data leaks, wrong abstractions, hidden complexity.

• Cloud & DevOps fluency: Docker, CI/CD, at least one major cloud (AWS / GCP / Azure), logging and monitoring.

• 0 → 1 mindset: comfortable in an early-stage team, working directly with founders and product, shipping fast without losing rigor.

• Strong written and verbal communication in English - including specs, PR descriptions and technical discussions.

Strong advantage (Nice to have)

• Background in PropTech, hospitality tech, Fintech or multi-sided marketplace platforms.

• Exposure to payment flows, compliance / regulatory workflows, document-generation systems or government API integrations.

 Experience with LLM evals and observability (Langfuse, LangSmith or similar) and vector databases.

• Real-time systems, IoT or tokenization / blockchain infrastructure.

Why this role

You will help build the first AI-native operating system for real estate in Dubai and define how software gets built when AI agents write most of the code.

• Genuine engineering ownership.

• Clear growth trajectory - Tech Lead / Engineering Lead.

• Direct access to founders and Head of Delivery & Product.

• Technically ambitious product surface - AI-native, Agentic system, RAG, IoT, real-time systems, government APIs, tokenization.

• AI-first by default.

• Great office in the centre of Kyiv.

AI-First Senior Software Engineer

Ukraine, Kyiv · On-Site · Full-Time

Company: Orbox Group - new AI-native product for the oil & petroleum business in Ukraine

Location: Ukraine, Kyiv - on-site, office in the city centre

Employment: Full-time, permanent

Seniority: Senior

Reports to: Tech Lead

Works with: Business Analyst, UI/UX Designer, QA Engineer, business owners & operations team

Languages: English - Advanced (B2-C1); Ukrainian - fluent

The role

This is the role that turns a real offline business into production software - by leading AI agents, not by typing every line yourself.

This is a hands-on senior engineering role. Most of our code is written by AI coding agents against machine-readable specs. That makes senior engineering judgment more valuable, not less: agents write fast, but still pick wrong abstractions, miss edge cases, get money and inventory maths wrong and ship code that passes its own tests and breaks in production. You are the engineer who designs the system, sets the guardrails and owns what gets merged.

We operate in a fast-moving startup environment where speed and precision both matter. You must be opinionated about which engineering tasks AI does well today (boilerplate, refactors, tests, migrations, docs), which it does not (architecture, security boundaries, trade-off calls, debugging subtle production issues) - and how to combine both deliberately.

What you will own & do

AI-First Engineering

• Daily, deep, native use of AI coding agents for implementation from specs, refactoring, test writing, code review, debugging and documentation.

• Treat agents like a team you lead: clear specs in, reviewed code out - you own the context, rules files, guardrails and the review bar.

 Set up the agentic delivery pipeline for the new product from day one: repo conventions, agent instructions, MCP tooling and CI checks that keep agent output safe to merge.

• Contribute to internal evals from the engineering side: define what good” looks like for AI-generated code and for the product's user-facing AI features.

Product Engineering

• Own the architecture from zero: service boundaries, domain and data model, APIs, environments - built for a real operational business with multiple sites and roles.

• Own features end to end: from spec & acceptance criteria to design, implementation, tests, deployment and monitoring on prod.

• Build operational surfaces: dashboards, inventory and stock movements, orders, pricing, documents, approvals, reporting and back-office tooling - including mobile-friendly flows for people in the field.

Integrations & Data

• Integrate with the existing world: accounting and ERP systems, Excel and legacy data, banks and payment providers, fiscalization and regulatory reporting.

• Connect the physical side of the business where relevant.

• Plan and run data migration from spreadsheets and legacy tools - reliably, idempotently, with proper error handling and audit trails.

AI & LLM Systems

• Build production AI features: LLM agents, tool calling, RAG, document processing (waybills, invoices, contracts), reconciliation, forecasting and anomaly detection - with grounding, fallbacks and cost control.

• Engineer the non-deterministic layer: prompt versioning, structured outputs, guardrails against hallucinations and prompt injection, role-safe access to data.

• Instrument AI behaviour with tracing, logging and metrics - treat AI output as something to be measured, not trusted.

Engineering Quality & Ownership

 Own the merge bar: review agent and human PRs, enforce architecture, security and performance standards.

 Write automated tests and CI that make agent output safe to ship; partner with QA on test strategy and release readiness.

• Feed spec & story defects back upstream: when the work item is wrong or ambiguous, it gets fixed at the spec layer with the Business Analyst, not hacked around in code.

• Shape the engineering practice for the product: conventions, environments, observability, incident handling - lightweight enough for startup speed, rigorous enough to trust.

What we are looking for

Must have

 4+ years of hands-on software engineering on production web products, with senior-level ownership of a system or major product area.

 Strong full-stack skills: modern backend (TypeScript / Node.js or Python), modern frontend (React / Next.js or similar) and relational databases (PostgreSQL or similar).

• Daily, deep, native use of AI coding tools (Claude Code, Cursor etc.) in your engineering workflow. You have a real, opinionated workflow built around them and can defend your choices.

• Hands-on experience building LLM-based features: agents, tool calling, RAG, structured outputs - shipped to production, not just demos.

• Solid system design for operational B2B software: transactional data, inventory and money flows, role-based access, API design, async processing, third-party integrations.

• Critical code review skills: you read AI-generated code with suspicion and catch what agents miss - security holes, data leaks, wrong abstractions, hidden complexity.

• Cloud & DevOps fluency: Docker, CI/CD, at least one major cloud (AWS / GCP / Azure), logging and monitoring.

• 0 → 1 mindset: comfortable starting a product from an empty repo, working directly with founders, business owners and product, shipping fast without losing rigor.

• Strong written and verbal communication in English and Ukrainian - including specs, PR descriptions, technical discussions and talking to the people who run the business.

Strong advantage (Nice to have)

• Experience integrating with BAS / 1C, Ukrainian banks and payment providers, fiscalization or tax / excise reporting.

• Document processing (OCR, extraction), forecasting or anomaly detection in production.

• Experience with LLM evals and observability (Langfuse, LangSmith or similar) and vector databases.

Why this role

You will own a new AI-native/AI-first engineering from an empty repo and prove that an AI-first delivery machine can transform a traditional industry, not just a startup niche.

• Genuine engineering ownership - you design the system from zero and hold the merge bar.

 A real business as your first customer - live operations, real users, real volumes and money.

• Clear growth trajectory - Tech Lead / Engineering Lead for this product line.

• Direct access to founders and Head of Delivery & Product.

• AI-first by default.

• Great office in the centre of Kyiv.

AI-First Senior Business Analyst

Ukraine, Kyiv · On-Site  Full-Time

Company: Orbox

Product: AI-native software digitalizing an existing offline business

Location: Ukraine, Kyiv - on-site, office in the city centre

Employment: Full-time, permanent

Seniority: Senior

Reports to: Head of Delivery & Product

Works with: Business owners & operations team, Engineering team, Design team, AI agents

Languages: Ukrainian - native / fluent; English - Upper-Intermediate+ (B2+)

The role

This is the role that defines what this new product is, why each part of it is worth building and how it is described to the machines that build it.

You will report directly to the Head of Delivery & Product and sit in one team with Orbox - same AI-first delivery machine, same tools, same standards. You will own product from the analysis side: discovery, process analysis, PRDs and agent-ready specifications.

This is a hands-on, 0 → 1 analytical role. You will dig into where the work happens. You will map as-is workflows, find where time, money leak and design the to-be processes where AI agents and software do the routine work and people make the decisions.

We operate in a fast-moving startup environment where speed and precision both matter. You must be opinionated about which analysis and documentation tasks AI does well today, which it does not and where in a traditional business AI creates real value versus where it is just noise.

What you will own & do

AI-First Way of Working

• Daily, deep, native use of AI tools for interview and field-note synthesis, process mapping, document analysis, PRD and spec drafting, competitor teardowns and data analysis.

• Treat AI tools the way an engineer treats their IDE: opinionated, tuned, integrated into every step of your workflow.

• Co-design the boundary between what you produce by hand and what is generated, transformed or validated by agents.

• Contribute to internal evals from the analysis side: define what “good” looks like for AI-generated artifacts and for the product's user-facing AI features.

Business Discovery & Process Analysis

• Own end-to-end discovery of the existing business: stakeholder and staff interviews, shadowing, field visits, document and data audits across departments.

• Map as-is workflows (BPMN or similar) and design to-be processes - roles, handoffs, documents, approvals, exceptions and the data behind each step.

• Find and size the opportunities: manual work, errors, delays, fuel and cash losses, reporting pain - and where AI agents can take over routine work (document processing, reconciliation, dispatch, forecasting, anomaly detection).

• Understand the regulatory and accounting side of the business (excise, fiscalization, tax and fuel reporting, primary documents) well enough to turn it into requirements.

• Evidence over opinion: maintain a living research repository so every product decision traces back to a real workflow, a real number or a real user.

PRDs & Specs for the AI-First Delivery Machine

• Own the PRD & spec layer for the product: vision, scope, modules, user stories, acceptance criteria, edge cases, data contracts and state behaviour.

• Convert validated requirements into clear, structured, machine-readable specifications our orchestrator and coding agents can implement, test and evolve reliably.

• Define the domain model: products, tanks and depots, vehicles and routes, counterparties, contracts, prices, documents - the single source of truth for engineering, QA and evals.

• Keep specs in sync with reality: when the business or product changes, the spec changes first.

Delivery, Rollout & Adoption

• Shape the roadmap and scope with the Head of Delivery & Product and business owners - what we digitalize first and why.

• Plan integrations and migration from existing tools and legacy systems (Excel, accounting software, equipment and sensor data where relevant).

 Run UAT with real users in the business, define success metrics per capability and track what actually changed after release.

• Drive adoption: training materials, rollout plans and feedback loops with staff who have worked offline for years.

What we are looking for

Must have

• 4+ years of relevant experience as a business analyst, systems analyst or product analyst, with senior-level ownership of discovery and requirements.

• Digital transformation experience: you know how to take real offline or legacy business processes (operations, logistics, finance, supply chain) and turn them into working software together with an engineering team.

• 0 → 1 builder: comfortable being the first and only analyst on a new product (for the start), working directly with business owners, Heads and engineering.

• Strong process analysis craft: interviews, shadowing, BPMN / process modeling, as-is / to-be design, requirements that hold up in the real world.

• Excellent product documentation: PRDs, user stories, acceptance criteria, edge cases, data models - clear, testable, unambiguous, structured enough that engineers (and agents) do not have to guess.

• Daily, deep, native use of AI tools in your analysis workflow. You have a real, opinionated workflow built around them and can defend your choices.

• Comfortable with complex operational B2B domains: inventory, logistics, back-office, finance and accounting flows, role-based access, reporting.

• Data literacy: comfortable reading data (Excel, SQL or BI tools) to back decisions and quantify the problem.

• Strong communication in Ukrainian and English (B2+): you can interview a depot operator in the morning and write a spec for an international engineering team in the afternoon.

Strong advantage (Nice to have)

• Knowledge of Ukrainian regulatory and accounting specifics: excise, fiscalization, tax reporting, primary documents; experience with BAS / 1C or ERP implementations.

• Experience defining specs or workflows for AI agents, RAG systems or document processing (OCR, extraction).

Why this role

• Genuine product ownership - you define the product from discovery to specs.

• A real business as your first customer - live operations, real users, real numbers.

• Clear growth trajectory: evolves into AI-First Product Manager and then Head of Product for this product line.

• Direct access to founders and Head of Delivery & Product.

• AI-first by default.

• Great office in the centre of Kyiv.

AI-First Senior QA Engineer (Manual)

Ukraine, Kyiv · On-Site · Full-Time

Company: Orbox.ai - AI-Native PropTech Operating System for Real Estate

Location: Ukraine, Kyiv  on-site, office in the city centre

Employment: Full-time, permanent

Seniority: Senior

Reports to: Technical Lead 

Works with: Product Analyst, Product Designer, Engineering team, Fleet of Agents

PropTech experience: Not essential; very good if you have direct or indirect experience

English: Advanced (B2+)

About

We are building an AI-native operating system for real estate. The product is a PropTech platform where LLMs and AI agents are not bolted on top - they are the architecture. Owners, operators and guests interact with the AI system through natural language. AI autonomously generates compliance documents, routes staff, answers guest queries from a RAG-indexed knowledge base in real time and orchestrates financial split-payments.

But the product is only half of it.

We are equally an AI-first delivery organization. The way we discover, define and ship is as differentiated as what we ship. Specs, stories and designs are machine-readable artifacts our coding and review agents consume directly — and quality is verified by a human who knows exactly where agents fail, where specs lie and where the product breaks in real hands.

The role

This is the role that decides whether what we ship actually works  for humans and for the agents that built it.

You will report directly to the Head of Delivery & Product, with short decision loops to founders and direct access to engineering.

This is a hands-on, manual-first QA role at the core of the delivery machine. Most of our code is written by AI agents against machine-readable specs. That makes human quality judgment more valuable, not less: agents pass their own checks and still ship broken flows, wrong edge-case behaviour and UX that technically matches the spec but fails the user. You are the last honest reader of the product before it reaches staging review and then customers on prod.

You will own manual testing end to end: exploratory testing, spec-based test design, UAT coordination, regression passes and release sign-off. You will test not just deterministic UI flows, but AI-driven behaviour  agent responses, RAG answers, document generation  where “expected result” is a judgment call, not an assert.

You will work side by side with the AI-First Product Analyst (who writes the specs you test against) and engineering (whose agents implement them). You will use our shared Claude Team / Cowork with premium seating along with the company's AI tools daily, deeply and natively — not as a novelty, but as the default way you work.

We operate in a fast-moving startup environment where speed and precision both matter. You must be opinionated about which QA tasks AI does well today (test-case generation, coverage analysis, log triage), which it does not (exploratory judgment, UX intuition, risk feel) — and how to combine both deliberately.

What you will own & do

AI-First Way of Working

• Daily, deep, native use of AI tools for test-case generation from specs, coverage gap analysis, bug report drafting, log and session triage, regression checklist upkeep.

• Treat AI tools the way an engineer treats their IDE: opinionated, tuned, integrated into every step of your workflow.

• Contribute to internal evals from the QA side: define what “good” looks like for AI-generated code, AI-generated test artifacts and our user-facing AI features.

Manual Testing & Test Design

• Own manual testing end to end: exploratory sessions, spec & story-based test design, edge cases, negative paths, cross-role and multi-tenant scenarios.

• Convert machine-readable specs & stories with acceptance criteria into structured, traceable test cases and checklists — every requirement maps to a verification.

• Run deep exploratory testing where scripted coverage ends: real-world flows, messy data, weird devices, impatient users.

• Verify complex B2B2C surfaces: dashboards, role-based access, real-time data, payment flows, document generation, back-office tooling.

Testing AI-Driven Behaviour

• Test the non-deterministic layer: agent conversations, autonomously generated compliance documents — correctness, groundedness, tone, failure modes.

• Design and run structured evaluation of LLM outputs with the Analyst and engineering: treat AI output as something to be measured, not trusted.

• Hunt for hallucinations, prompt-injection surfaces, permission leaks across tenants and roles, and silent agent failures.

Quality Process & Release Ownership

• Own release readiness: regression scope, smoke passes, UAT coordination with stakeholders, GO/NO-GO input for every release.

• Write bug reports engineers (and agents) can act on without a follow-up question: environment, steps, expected vs actual, evidence, severity.

• Feed spec & story defects back upstream: when the work item is wrong or ambiguous, it gets fixed at the spec/story layer, not patched in QA.

• Build the QA practice from scratch: process, tooling, test data, defect workflow in Jira — lightweight enough for startup speed, rigorous enough to trust.

What we are looking for

Must have

 4+ years of hands-on manual QA experience on web products, with senior-level ownership of quality for a product or major product area.

• 0 → 1 builder: comfortable being the first and only QA, setting up the practice yourself, working directly with founders and engineering — not joining an already-scaled QA org.

• Experience testing LLM-based features, chatbots, RAG systems or agent workflows — including designing evals or output rubrics.

• Daily, deep, native use of AI tools in your QA workflow: test generation, triage, analysis, documentation. You have a real, opinionated workflow built around them and can defend your choices.

• Excellent test design craft: from acceptance criteria to test cases, edge cases, negative scenarios and risk-based prioritization — structured, traceable, unambiguous.

• Strong exploratory testing instincts: you find the bugs no script would — and can explain how you found them.

• Sharp written bug reporting and strong verbal communication in English (C1+), under startup timelines, without losing rigor.

• Comfortable with complex B2B / multi-sided product surfaces: multi-tenant SaaS, role-based access, real-time data, payments, back-office tooling.

 Working knowledge of APIs and databases for verification: reading API responses (Postman or similar), basic SQL to check data behind the UI, reading logs.

Strong advantage (Nice to have)

• Background in PropTech, hospitality tech, Fintech or multi-sided marketplace platforms.

• Exposure to payment flows, compliance / regulatory workflows or document-generation systems.

• Test automation literacy (Playwright, Cypress or similar) — enough to direct agents that write automation, even if you don't write it daily.

Why this role

You will help build the first AI-native operating system for real estate in Dubai and define what quality means when AI agents write most of the code. Both are differentiators, both are hard and both are yours to own at the senior level.

• Genuine quality ownership — you build the QA practice from zero and hold the release bar. This is not a “execute someone else's test cases” role.

• Clear growth trajectory — this role evolves into AI-First QA Lead / Head of Quality as the team scales.

• Direct access to founders and Head of Delivery & Product — short decision loops, no middle management.

• Technically ambitious product surface  AI-native, Agentic system, RAG, IoT, real-time systems, government and regulatory APIs and eventually tokenization infrastructure.

 AI-first by default — you will co-design how quality assurance works inside an AI-first delivery machine.

• Great office in the centre of Kyiv — one on-site team, short feedback loops, fast decisions.

Responsibilities:

• Work in SCRUM team 
• Design and develop high-load microservices
• Produce high-quality code covered with different levels of tests
• Maintain services on production and assure their stability and performance
• Provide code review for teammates 
• Contribute to the Company’s development processes and practices 

Requirements:

• 5+ years of professional Java development experience, including at least 2 years in a product company or product-focused environment
• Proficiency in Java 17+ and modern backend development practices
• Solid experience with the Spring Framework and Spring Boot
• Practical experience designing and developing microservices
• Experience with MySQL, Redis, and other SQL or NoSQL databases
• Experience with Kafka and event-driven architectures
• Experience building REST APIs and working with Protobuf
• Hands-on experience with SQL and database schema design
• Experience with CI/CD practices and tools such as GitLab CI
• Ability to write unit and integration tests using tools such as Mockito, WireMock, and Testcontainers
• Strong understanding of SOLID principles, clean code, and common software design patterns
• Experience with Git and modern software development workflows
• Excellent troubleshooting and problem-solving skills
• Good communication and collaboration skills
• English proficiency at Intermediate level or higher

AI-enabled software development

• Hands-on experience using AI coding agents in day-to-day software development.
• Ability to break down engineering goals into clear, well-scoped tasks for AI agents.
• Ability to provide effective context, constraints, acceptance criteria, and validation steps.
• Strong awareness of the risks and limitations of AI-generated software.
• Ability to distinguish where AI can accelerate delivery and where human judgment is essential.
• Interest in exploring and improving agentic development workflows.
• Willingness to share effective workflows and lessons learned across engineering team.

Would be great to have:

• Experience with Aerospike
• Experience with Spring Cloud
• Experience with Docker and Kubernetes
• Experience developing and operating high-load distributed systems
• Experience with Google Cloud Platform (GCP) and its core services, including BigQuery

What we offer:

• International company with several offices in different locations : Tel-Aviv, Kyiv, Warsaw, Limassol.
• Granting an Option;
• A professional environment with great people to work with;
• Competitive salary, performance review;
• Flexible working hours, no one here tracks your work time because our culture is built on trust and cooperation;
• Social and welfare packages;
• 20 working days paid vacation, official public holidays and 100% sick leave coverage;
• Opportunities to make a difference, to develop and grow;
• Regular corporate celebrations, team building and fun activities;
• Comfortable office in the city center. Our Kyiv office is open 24/7 with all safety and health measures in place.

The full production cycle IT company Nabuto specializes in the development of software products and services in the field of information technology. We operate in the FinTech and trading domain, running a data-intensive platform that processes millions of real-time events.

We are looking for a Senior HRBP to join our rapidly growing start-up ecosystem.

The candidate should be based in Kyiv and ready to visit  an office (Unit City) .

Responsibilities

• Organisational design and recruitment planning.
• Supporting the full employee lifecycle: from pre-onboarding and induction to offboarding.
• Managing employee performance, development, engagement, and retention.
• HR partnership with managers and support for key people-related decisions.
• Implementation of HR strategy, development of corporate culture, and internal communications.

• Coordination of HR operations, staff changes, leave, and relocation.

   

Requirements

• 3+ years of experience as an HRBP or HRPP in big IT product company.
• Experience in developing and implementing onboarding and induction processes.
• Performance management (Performance Reviews).
• HR project management.
• Developing initiatives to engage and retain staff (Engagement & Retention).
• Consultancy skills (supporting managers, team development, conflict resolution).
• Employment law and HR administration procedures.
• Fundamentals of recruitment and interviewing.
• Internal communications and change management.
• Organisational development.

• Basic analysis of compensation and benefits.

   

What We Offer

• Work-Life Balance — 25 days of paid vacation + 30 days of paid sick leave.
• Care from Day One — medical insurance from your first day, including dental care, massage, and professional psychological support.
• Knowledge Library — office books and access to the Kuka online library.
• Investment in Your Energy — partial reimbursement for sports and fitness activities.
• Growth & Learning — coverage for English or Ukrainian language courses and a dedicated professional development budget.

• Island Relaxation — up to 14 days per year at the company villa in Cyprus.

   

Join the Nabuto team, where your talents and aspirations will be recognized! We offer a dynamic work environment, opportunities for professional growth, and support at every step of your career path. Start your journey to success with us—apply today and take the first step towards your bright future!

Nabuto is an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences. Please note that only shortlisted candidates will be contacted. Thank you for considering Nabuto as your next career move!

Since 2013, Duanex has been building custom software for international companies and startups, from mobile applications to complex cloud solutions.

Our clients operate across healthcare, fintech, digital banking, and insurance. We follow Agile practices and place a strong emphasis on automated testing.

We're looking for a creative Content Writer who can turn technology and business topics into engaging LinkedIn content that people actually want to read.

You'll work directly with our CEO, creating content for multiple LinkedIn profiles. 

We value fresh ideas, independent thinking, and a results-driven approach to content creation.

What you'll be working on

• Creating English-language LinkedIn posts for 5–8 profiles, adapting content to each profile's voice and audience.
• Researching IT, AI, business, and technology topics to develop fresh ideas and engaging content.
• Creating strong hooks and experimenting with different writing approaches to capture attention and encourage discussion.
• Analyzing post performance and using insights to improve future content.
• Writing occasional expert articles for external publications or our company blog (approximately one every 1–2 months).
• Potentially creating short posts and comments for Threads and X.

What we're looking for

• 1+ year of experience in copywriting, content writing, or content marketing.
• English at B2 level or higher, with strong writing skills.
• Experience creating content for LinkedIn.
• Ability to research complex topics and turn them into clear, engaging content.
• Understanding of LinkedIn performance metrics and basic analytics.
• Experience using AI tools for research, brainstorming, and editing.
• Creativity, independence, and willingness to experiment with new approaches.

Would be a plus

• Experience writing for IT, SaaS, or B2B companies.
• Experience developing personal brands of founders, CEOs, or industry experts.
• Understanding of the US market and international B2B audiences.
• Experience creating content for Threads, X, or Reddit.

What we offer

• Remote work, with optional office space in Kyiv or Lviv.
• 20 paid vacation days and 10 paid sick days.
• Medical insurance after 3 months of employment.
• Corporate English classes (group lessons and speaking club).
• Opportunities to experiment with different content approaches and develop your skills.
• Direct communication with the CEO and a supportive team where your ideas and initiative are welcome.

Hiring Process: Recruiter Interview → Test Assignment → Technical Interview → Offer

Interested? Send us your CV and a few examples of LinkedIn posts you've written. If possible, include examples of posts that performed particularly well.

Join the NAVI Team as a Junior Account Manager!
 

NAVI is one of the leading esports organizations in the world, with millions of fans across the globe. We’ve gathered the best talents and professionals, and together we’re moving forward because we are BORN TO WIN! 

We’re looking for a dynamic and driven individual to help manage key sponsorships and projects. If you’re passionate about esports and ready to take on a role where you’ll collaborate with top industry partners, coordinate exciting initiatives — apply!

KEY REQUIREMENTS:

• Up to 1 year experience in areas where constant communication with clients is required;
• English knowledge from Intermediate level;
• Basic knowledge and understanding of Digital Marketing;
• Basic understanding of Social Media as working tool;
• Project management skills: setting technical specifications, planning, prioritization, team management, quality control;
• Proven use of G-Suite (knowledge and skills in Figma would be a plus);
• Knowledge of Project Management tools would be an advantage;
• Knowledge and understanding of the gaming and esports industry are mandatory.

KEY RESPONSIBILITIES:

• Сommunicating with sponsors on projects and cooperation on the daily basis;
• Planning and managing the implementation of sponsorship obligations;
• Setting and monitoring the implementation of tasks within teams (marketing / media / operations / merchandise / community), both long-term and 'one-time';
• Communicating with contractors, project budgeting, reporting;
• Controlling and administrating the payment process;
• Preparing quarterly reports on sponsorship contracts.

WHAT WE OFFER:

• Medical insurance (after successfully passing the probation period).
• 24 working days of annual leave.
• Fully paid holidays and sick leave.
• Flexible working hours.
• Group sports sessions for employees.
• Bonus system for Office Employees
• 50% reimbursement for English lessons.
• Educational support.
• 50% discount on shop.navi.gg.
• Modern office, snacks in the office, corporate events, and watching matches together :)

Feel like this could be a match? 
Send in your application, and we’ll get back to you with feedback.

We are looking for driven, motivated, fast-learning individuals who are eager to  start a  DevOps career, keen on knowledge, and aspire to automate and optimize everything. This is an excellent opportunity for you to work as part of a  skilled team and gain valuable experience in building, deploying, and operating a variety of  systems.

RESPONSIBILITIES

• Learn and stay up to date with new technologies and tools related to DevOps practice
• Provide high-quality, professional day-to-day execution of tasks
• Work closely with development team members to achieve goals

REQUIREMENTS

• Experience as a System Administrator, or  DevOps Engineer, or SRE
• Practical experience with Bash or Python scripting
• Knowledge of networking (routing, firewall, VPN)
• Understanding of the Linux operating system
• Knowledge of web and application servers such as Nginx and, Apache
• Familiarity with CI/CD tools such as Jenkins, GitLab CI, etc.
• Basic experience with cloud providers such as AWS, GCP, and Azure
• Basic knowledge of K8s
• Basic knowledge of Terraform and Ansible
• Basic knowledge of Git
• Upper-Intermediate level of English
   

WOULD BE A PLUS: 

• Familiarity with software development life cycle (SDLC) and Agile principles
• Other DevOps skills

Ми шукаємо цілеспрямованих, мотивованих людей із бажанням навчатися новому, які прагнуть розпочати кар'єру в сфері DevOps. Це чудова можливість працювати в команді професіоналів і здобути цінний досвід у створенні, розгортанні та експлуатації різноманітних систем. 

ОБОВ’ЯЗКИ

• Вивчати та бути в курсі нових технологій та інструментів, пов'язаних з DevOps  
• Забезпечувати якісне, професійне виконання щоденних завдань
• Тісно співпрацювати з командою розробників для досягнення цілей
   

ВИМОГИ 

• Досвід роботи системним адміністратором, DevOps інженером або SRE  
• Практичний досвід написання скриптів на Bash або Python  
• Знання мережевих технологій (маршрутизація, брандмауер, VPN)  
• Знання операційної системи Linux   
• Знання вебсерверів і серверів додатків, таких як Nginx і Apache  
• Знання інструментів CI/CD, наприклад, Jenkins, GitLab CI тощо  
• Базові навички роботи з хмарними провайдерами, такими як AWS, GCP та Azure 
• Базові знання K8s 
• Базові знання Terraform та Ansible  
• Базові знання Git 
• Володіння англійською мовою на рівні Upper-Intermediate 
   

ПЕРЕВАГОЮ БУДЕ

• Розуміння життєвого циклу розробки програмного забезпечення та Agile принципів 
• Інші навички в сфері DevOps 

IoT Solution Consultant

Office Location: 40G, Kyryllivska St, Kyiv, Ukraine (remote work is available) 

Company: Kaa IoT – A leading platform for IoT solutions (www.kaaiot.com)

Location: Hybrid / Remote / Office in Ukraine or abroad

Who We Are Looking For:

An ambitious, motivated, and energetic junior sales professional with a strong interest in technology and solution-based selling. We are looking for someone who is comfortable with outbound sales and lead generation and is eager to gradually grow into a client-facing sales role.

You will start by focusing on prospecting, outreach, and lead qualification, and over time take on more responsibility for customer conversations, product demonstrations, and sales opportunities across different IoT industries.

Experience or interest in IoT, Cloud, Building Management Systems (BMS), energy monitoring, connected devices, or other technology solutions is a plus.

 

      Responsibilities:

• Research target markets, companies, and contacts based on our Ideal Customer Profile (ICP), and build relevant prospect lists.
• Create personalized outreach messages and manage outbound campaigns across email, LinkedIn, and other channels.
• Engage and qualify prospects through written communication, including outbound outreach, inbound leads, and other channels.
• Manage outreach across multiple accounts and maintain consistent communication with prospects.
• Manage sales activities and opportunities in the CRM, ensuring consistent follow-ups and keeping communication history and next steps up to date.
• Responsible for achieving aggressive weekly targets such as number of qualified opportunities per campaign, number of daily activities/tasks, call quality, appointment setting, and sales skills.
• Collaborate with the marketing team on LinkedIn activities and product-related content to support outreach and engagement.

Over time:

• Conduct initial calls and discovery with qualified prospects to understand their use case, devices, project scope, and key requirements.
• Conduct product demonstrations and develop strong product knowledge.
• Support prospects during product evaluations and coordinate with the technical team when needed.
• Build long-term client relationships and gradually take ownership of qualified opportunities throughout the sales process.

Requirements:

 - Skills:

• Basic understanding of IT and IoT concepts.
• Experience with AI tools, modern technologies, or a technical background is a plus.
• Ability and willingness to learn technical products and understand different IoT use cases.
• Understanding of ICP-based prospecting and lead qualification.
• Experience or familiarity with lead generation and prospecting tools such as Apollo, Clay, LinkedIn Sales Navigator, and other similar tools is a plus.
• Experience with email and LinkedIn outreach, including writing personalized messages, building outreach sequences, and handling initial objections or “not interested” responses.
• Experience in direct written communication with clients and stakeholders.
• Hands-on experience with CRM tools or sales pipelines.
• Strong organizational skills with attention to follow-ups, priorities, and next steps.

 - Languages: English (B2–С1 level)

 - Mindset: High motivation, strong work ethic, and a results-driven approach

What We Offer:

- A fast-growing and innovative work environment

 - Competitive salary with an attractive commission model

 - Opportunities for international networking and career growth

 - Dynamic and supportive team

 - Work flexibility: Hybrid / Remote options available

Are you ready to build your career in IoT and Cloud sales

This role is available in the following shift: Monday - Friday 09am-06pm

As a Customer Care Expert at Wix, you’ll be responsible for helping our over 278 million users worldwide make their online dreams a reality. We work hard for our users, and our Customer Care teams are always there to make sure problems are solved and challenges are tackled.

1. Provide care to our users through calls, chats and email
2. Get to know each user’s business goals, uncover their needs and help guide them through their journey, providing advice regarding their sites and businesses
3. Help users solve problems while exposing them to additional ways they can achieve their goals and succeed online
4. Analyze user behavior, content suitability and content relevance to determine effects on user satisfaction
5. Develop and maintain positive customer relations and satisfaction
6. Influence the way we support our users and improve it to make sure our users’ experience is the best possible
7. Work with all other departments and product teams, and stay aligned about users’ needs

Qualifications

• Fully proficient in German and fluent English 
• 1+ years of customer service experience (in any industry)
• Proactive problem-solver who can work independently, taking initiative to seek solutions
• Professional who loves helping others succeed and is curious to know what really drives users and their needs
• Great communication skills that enable you to solve problems thoughtfully and effectively
• Fast learner, with the ability to adapt with a can-do attitude
• Tech savvy and eager to explore new technologies

Please send your CV in English.

Additional information

We are Wix’s Customer Care Guild. We're not your typical customer support. We represent the Wix user's voice and work closely with Product to deeply understand Wix technologies and services. As part of our global organization of Customer Care, we’re responsible for building solid relationships with Wix users, uncovering their business needs, and guiding them to success. Working with us, you’ll find a friendly atmosphere, fantastic coworkers, and diverse growth opportunities in a dynamic environment. We’re spread across the globe and offer an office, remote, or hybrid work model depending on the site. 

Our partner is an innovative technology company specializing in the development and implementation of cutting-edge solutions in embedded systems and radio frequency (RF) engineering.

We are currently seeking an experienced Firmware Engineer to join our team.

Key Qualifications:
BA or Master’s degree in computer science
Strong level of C/Embedded programming (FW, drivers)
5+ years of experience in industrial or embedded software development
Excellent debugging skills
Familiarity with embedded firmware design
Expertise in hardware components and design
Programming under Linux environment
Advanced experience with Git tools and workflows

Responsibilities:
Developing and implementing software for industry specific hardware
Designing firmware solutions based on company or project needs
Designing detailed firmware plans
Ensuring that firmware is always functional and up-to-date
Troubleshooting and optimising firmware

Our client is the Inflight Internet Company that is specialized in delivering reliable Internet connectivity and entertainment multimedia to aircrafts for the USA, enhancing the experience for both passengers and crew. It is the leading global provider of broadband connectivity products and services for aviation. It designs and source innovative network solutions that connect aircraft to the Internet, and develop software and platforms that enable customizable solutions for and by their aviation partners. Once connected, they provide industry leading reliability around the world. Their mission is to help aviation go farther by making planes fly smarter, so our aviation partners perform better and their passengers travel happier.

Responsibilities:

• Implementation of Data Quality Automation processors to verify data identity between databases and efficiently detect differences. This includes data research and program code development.
• Implementation of GreatExpectations Data Quality processors to check for unexpected data and special conditions. This involves both data research and program code development.
• Ensuring data integrity by checking for the absence of duplicates and other anomalies across different data sources.
• Validating the correctness of processors, ensuring their proper deployment using AWS, verifying the structure of GitHub repositories, and checking the availability of up-to-date documentation. This includes reviewing all aspects of the deployment to ensure everything was executed correctly.
• Creating defect tickets in case of any issues discovered during the process.
• Producing test results, compiling test reports, and documenting tickets with all necessary links and outcomes.
• Monitoring the operation of data quality processors, identifying problems as they arise, and finding solutions.

Qualifications:

• Bachelor’s degree or equivalent
• Strong data analysis skills with the capability to identify, analyze, and integrate various large complex data sources.
• AI usage experience
• A passion for working with huge data sets
• Proficiency in SQL and a solid understanding of RDBMS, given the diversity of data sources in use.
• Good Python skills, familiarity with the pandas tool is also a big plus.
• Experience with Bash commands and scripting.

Nice to have:

• Knowledge of Big Data technologies such as Hadoop, PySpark, Hive, and Airflow is advantageous

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 Junior Manual QA Engineer to join our team and support the delivery of a high-quality web-based product.

Requirements 

 

• At least half a year of experience in software testing of web-based applications.
• English proficiency at B1 level or higher.
• Basic understanding of version control systems, such as Git.
• Knowledge of HTTP request methods and status codes, and an understanding of how they function in web applications.
• Practical experience with browser development tools, such as Chrome DevTools.
• Deep understanding of the software development life cycle (SDLC).
• Experience with API testing tools, such as Postman or Insomnia.
• Completed Bachelor’s degree in a technical field, such as Computer Science, Engineering, or Mathematics. This is a mandatory requirement.

Nice to have

 

• Experience with test documentation management tools, such as TestRail or Qase.
• Knowledge of project management platforms, such as Jira, Trello, or Rally.
• Knowledge of test case development techniques to improve testing efficiency and effectiveness.
• Strong soft skills, including communication and problem-solving abilities.

Responsibilities

 

• Conduct thorough testing of new functionality during the implementation phase to ensure high-quality deliverables.
• Identify, document, and test defects, ensuring they are resolved in a timely manner.
• Participate in smoke and regression testing to verify overall system integrity and quality.
• Develop and review test documentation, including checklists, test cases, and acceptance criteria, to ensure comprehensive coverage.
• Perform API testing using Postman to validate request and response behaviour and ensure backend functionality works as expected.
• Gather and analyse requirements for new and existing functionality, contributing to the knowledge base and improving product understanding.

We Offer:

 

• Medical insurance.
• Cozy office at Leonardo Business Center.
• Friendly and supportive team environment.
• Opportunities for professional and career growth.
• Access to AI-powered tools to enhance productivity and daily work.
• Involvement in a fast-growing project.
• Paid lunch, corporate and team-building events.

📍 For candidates based in Kyiv, this position requires working from our Kyiv office during the probation period. Once onboarding is successfully completed, you can transition to a hybrid or remote work model.