Jobs at Djinni

Collaborator is a PR distribution marketplace created to help SEO specialists and marketers distribute content on websites and social media.

We are looking for a remote, full-time Onboarding & Sales Manager to join our team and run product demos, onboard new clients, and support their success on the platform.

 Key responsibilities:

• Conduct product demos for potential clients in US time zones (EST/PST), clearly explaining platform features and value based on client needs;
• Onboard new clients: guide them from signup to a confident and effective start on the platform;
• Help clients build and refine their SEO/linkbuilding strategy using Сollaborator.pro, aligned with their business goals;
• Provide hands-on support during the first stages of client activity and answer strategic and product-related questions;
• Collect client feedback and share insights with the product and internal teams to improve the user experience.

What we’re looking for:

• Previous experience in SEO and link building (guest posts, backlinks, PR placements, outreach, etc.);
• Experience in sales, onboarding, customer success, or account management;
• Strong English communication skills (spoken and written), with confidence presenting to clients;
• Ability to work with clients in American time zones;
• Strategic mindset and the ability to recommend optimal approaches for using the platform.

Benefits of working with us:

• Freedom in making decisions that will help to achieve the KPI of the project — we are for proactivity and are always open to new ideas.
• The opportunity to improve your professional skills in working with a growing IT platform.
• Vacation 22 working days per year and paid sick leave.

Other perks:

A welcoming team, ever-ready to lend a hand.

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the role:
We are looking for a Platform+Python/JS Engineer to join our team and help build, maintain, and scale AI-powered interactive products.
This is a hands-on role for an engineer who owns deployment, infrastructure, real-time systems, and AI-service integration end to end. You will work on production systems that combine web applications, real-time communication, Kubernetes-based backend services, and GPU-hosted AI pipelines.
The core of this role is production reliability and deployment ownership — keeping live systems stable, responding to incidents, and integrating AI models into scalable real-time infrastructure. Frontend work exists but is secondary: the team has a designer and uses AI-assisted tooling for UI iteration.

Responsibilities:
- Own deployment, environment management, and release workflows across Kubernetes-based, Railway-hosted, and other cloud infrastructure.
- Deploy and operate AI inference services on GPU platforms such as Modal or RunPod and integrate them into real-time product flows.
- Build and maintain real-time communication and async processing flows, including LiveKit-based session infrastructure.
- Work with Python and TypeScript(Node.js) / JavaScript application code in production environments.
- Support database-backed product features, schema evolution, and migration workflows.
- Improve observability, logging, monitoring, and incident debugging workflows.
- Contribute to frontend and backend product functionality as needed, using AI-assisted tooling where appropriate.
- Maintain clear and up-to-date documentation for every product, service, and integration, including architecture diagrams, API contracts, deployment procedures, and environment configuration.
- Ensure every new feature is discussed, scoped, and agreed upon before implementation begins. No undocumented or uncoordinated changes to production systems.
- Collaborate with engineering and product stakeholders to clarify requirements, identify risks, and ship practical solutions.

Required skills:
- Experience with AWS, Kubernetes, Helm, and container-based deployment workflows.
- Experience maintaining or modifying CI/CD pipelines, preferably with Jenkins or a similar legacy setup.
- Experience with real-time systems: WebSocket-based communication, session lifecycle management, and event-driven flows.
- Experience deploying and operating AI inference services on GPU platforms such as Modal, RunPod, Replicate, or similar.
- Experience with Python for production backend development.
- Experience integrating LLM-based services, voice AI APIs, or media-processing pipelines into production systems.
- Experience debugging distributed or multi-service systems, including reading logs across multiple services and environments.
- Solid understanding of backend APIs, service integration, and system design.
- Experience with PostgreSQL and ORM-backed schema management and migrations.
- Experience with TypeScript (Node.js) and frontend experience to ship and deploy UI changes with AI-assisted tooling.
- Ability to work independently and bring structure to ambiguous technical situations.
- Strong written and verbal English communication skills.
- Experience using AI-assisted coding tools (e.g., Cursor, GitHub Copilot, Gemini) for faster development and iteration

What we offer:
- Real impact: your content will directly attract new clients.
- Mentorship and growth.
- Freedom to experiment and test new formats.
- Flexible schedule and a remote-first culture.

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the role:
We are looking for a Platform+Python/JS Engineer to join our team and help build, maintain, and scale AI-powered interactive products.
This is a hands-on role for an engineer who owns deployment, infrastructure, real-time systems, and AI-service integration end to end. You will work on production systems that combine web applications, real-time communication, Kubernetes-based backend services, and GPU-hosted AI pipelines.
The core of this role is production reliability and deployment ownership — keeping live systems stable, responding to incidents, and integrating AI models into scalable real-time infrastructure. Frontend work exists but is secondary: the team has a designer and uses AI-assisted tooling for UI iteration.

Responsibilities:
- Own deployment, environment management, and release workflows across Kubernetes-based, Railway-hosted, and other cloud infrastructure.
- Deploy and operate AI inference services on GPU platforms such as Modal or RunPod and integrate them into real-time product flows.
- Build and maintain real-time communication and async processing flows, including LiveKit-based session infrastructure.
- Work with Python and TypeScript(Node.js) / JavaScript application code in production environments.
- Support database-backed product features, schema evolution, and migration workflows.
- Improve observability, logging, monitoring, and incident debugging workflows.
- Contribute to frontend and backend product functionality as needed, using AI-assisted tooling where appropriate.
- Maintain clear and up-to-date documentation for every product, service, and integration, including architecture diagrams, API contracts, deployment procedures, and environment configuration.
- Ensure every new feature is discussed, scoped, and agreed upon before implementation begins. No undocumented or uncoordinated changes to production systems.
- Collaborate with engineering and product stakeholders to clarify requirements, identify risks, and ship practical solutions.

Required skills:
- Experience with AWS, Kubernetes, Helm, and container-based deployment workflows.
- Experience maintaining or modifying CI/CD pipelines, preferably with Jenkins or a similar legacy setup.
- Experience with real-time systems: WebSocket-based communication, session lifecycle management, and event-driven flows.
- Experience deploying and operating AI inference services on GPU platforms such as Modal, RunPod, Replicate, or similar.
- Experience with Python for production backend development.
- Experience integrating LLM-based services, voice AI APIs, or media-processing pipelines into production systems.
- Experience debugging distributed or multi-service systems, including reading logs across multiple services and environments.
- Solid understanding of backend APIs, service integration, and system design.
- Experience with PostgreSQL and ORM-backed schema management and migrations.
- Experience with TypeScript (Node.js) and frontend experience to ship and deploy UI changes with AI-assisted tooling.
- Ability to work independently and bring structure to ambiguous technical situations.
- Strong written and verbal English communication skills.
- Experience using AI-assisted coding tools (e.g., Cursor, GitHub Copilot, Gemini) for faster development and iteration

What we offer:
- Real impact: your content will directly attract new clients.
- Mentorship and growth.
- Freedom to experiment and test new formats.
- Flexible schedule and a remote-first culture.

Senior Full-Stack Developer — LifeChef Healthcare Platform | Medically Tailored Meals | HIPAA-Compliant

Hard requirements: Next.js App Router (not Pages) • TypeScript • AWS serverless • PostgreSQL • AI-assisted development workflow • Regulated industry experience. If you don't meet all of these, this isn't the role.

What You'll Build

LifeChef delivers Medically Tailored Meals through a HIPAA-compliant healthcare platform with clinical workflows, insurance billing, and third-party integrations. You're not building a food app — you're building healthcare infrastructure that touches patients, providers, and payers.

We're a small, senior team building toward an agentic AI layer for clinical operations. The platform integrates with NetSuite, HubSpot, RCM billing systems, Stripe, Canvas (LMS), and healthcare APIs. The work is complex, consequential, and interesting.

We're hiring two senior full-stack developers simultaneously. Both will work on parallel tracks: one focused on the AI/backend integration layer, the other on the patient-facing experience. If both perform, both stay. This isn't a bait-and-switch — it's a deliberate strategy to compress our roadmap.

The Stack

Core (daily use):

• Frontend: Next.js 16 App Router, React 19, React Server Components, TypeScript 5.9
• State management: XState (complex clinical workflow state machines), Zustand (client state)
• UI: Radix UI primitives / shadcn/ui component architecture, Tailwind CSS 4, CVA
• Forms & validation: React Hook Form + Zod v4 schema validation
• Backend: Node.js, TypeScript, Python (for AI/ML pipelines)
• Database: PostgreSQL with Drizzle ORM, complex queries, window functions, ledger patterns
• Cloud: AWS — Lambda, CDK, Amplify Gen 2, EventBridge, Step Functions, S3, SQS/SNS, KMS
• Observability: Pino structured logging, AWS Lambda Powertools (metrics), PHI-safe audit trails
• Payments: Stripe (webhooks, reconciliation, idempotency)
• Testing: Vitest (unit, integration, security test suites), Testing Library
• IaC: TypeScript-first infrastructure (CDK + Amplify), not ClickOps

Integrations:

• NetSuite (ERP / source of truth for financials)
• HubSpot (CRM / patient engagement)
• RCM billing systems
• Canvas EMR
• OpenWebUI (internal AI gateway with RBAC)

Dev workflow:

• Enso methodology with BMAD framework for spec-driven, AI-assisted development
• Husky + lint-staged with automated secret scanning on every commit
• PHI scanning enforced in CI (not optional — the pipeline blocks on violations)
• Environment isolation validation, compliance checks, audit-PHI validation — all automated
• Docker Compose for local development
• GitHub Actions CI/CD

What We Actually Require

If you don't meet these, save us both the time. We're direct about this because we respect yours.

• 5+ years full-stack development with TypeScript as your primary language
• Next.js App Router in production. Not Pages Router. Not tutorials. Shipped, maintained, Server Components and all.
• PostgreSQL depth. You can write window functions, CTEs, and think in terms of ledger patterns, double-entry accounting, and audit trails.
• AWS serverless architecture. Lambda, CDK or Amplify Gen 2, event-driven patterns. IaC, not console clicking.
• 2+ years in a regulated industry (healthcare, fintech, payments). You understand what it means to handle PHI/PII, write audit logs, and build with compliance as a design constraint — not a checkbox.
• AI-assisted development is your default workflow. You use Claude Code, Cursor, Copilot, or similar daily. Not as autocomplete — as a thinking partner. You plan before prompting, you validate output, you know when to trust it and when not to. This is non-negotiable.
• Spec-driven development mindset. We use the Enso methodology with the BMAD framework — every feature starts with a clear spec before code is written. If you're used to jumping straight to code without understanding the problem first, this will be a culture mismatch.
• Strong async communication. You write clearly, you document decisions, you don't need to be chased for updates.

What Sets You Apart

Not required, but moves you to the top:

• Experience with agentic AI development — not just using AI to write code, but designing systems where AI agents operate autonomously: LLM orchestration, tool-use architectures, eval frameworks, structured validation of AI output. We use the Enso methodology with spec-driven AI workflows, and we're building toward autonomous agentic systems for clinical operations. If you've worked in this space, tell us. If you haven't but it excites you, that matters too.
• HIPAA compliance experience specifically (not just "security-aware")
• XState experience — complex state machine design for business workflows
• Experience with agentic AI patterns — tool-use architectures, eval frameworks, multi-step autonomous workflows
• Drizzle ORM experience (vs. Prisma or raw queries)
• Familiarity with shadcn/ui / Radix primitives over opinionated component libraries (Material UI, Chakra)
• Zod for runtime schema validation across client and server boundaries
• Stripe integration depth beyond basic checkout — reconciliation, dispute handling, webhook reliability
• Double-entry accounting or financial ledger design patterns
• Vitest over Jest (you've made the switch and know why)

• Experience working in small teams (<10 engineers) where you own entire features end-to-end

   

How We Evaluate

No algorithm puzzles. No whiteboard hazing.

1. Quick-filter questionnaire (15 min) — Short, specific technical questions. If your answers show depth, you move forward.
2. System design conversation (60 min) — Real scenario from our domain. We'll discuss architecture, tradeoffs, and how you think about data integrity in a healthcare context.
3. AI-assisted live coding (90 min) — Build a real feature using AI tools. We're evaluating how you work with AI, not whether you can memorize APIs. Bring your preferred tools.
4. CTO conversation (60 min) — Architecture, culture fit, your questions for us. If we both like what we see, we start the trial.

The 60–90 day trial sprint has defined success criteria at 30, 60, and 90 days. You'll know exactly what "success" looks like before day one.

The Team

Small, senior, primarily Ukraine-based. No junior developers. No dead weight. Everyone ships.

The CTO has 20+ years of full-stack experience across healthcare, threat intelligence (FBI/CIA/DOD clients), and enterprise platforms. Technical, direct, builds systems — not org charts.

We use the Enso methodology — spec-driven, AI-augmented development with the BMAD framework. Every feature has a clear spec, validation criteria, and defined outcomes before a line of code is written. Compliance isn't a department — it's enforced in the pipeline. PHI scanning, secret detection, environment isolation, and audit validation all run automatically on every commit and in CI.

We're building toward an agentic AI architecture for clinical operations. If you want to work at the intersection of healthcare, AI, and serious infrastructure — this is the role.

How to Apply

Reply with:

• One paragraph on why this role specifically interests you (not a generic cover letter)
• Your experience with regulated industries — what compliance constraints have you built around?
• Which AI tools you use daily and how

We read every response. Generic templates get skipped.

About the Role

We are looking for a Senior ML/Ops Engineer to join a core algorithmic platform team building real-time ML inference systems at massive scale.

This is a highly technical, hands-on role focused on designing and operating production-grade ML systems, not research. You will work on systems that handle high throughput and strict latency requirements, with full ownership across backend, ML, and infrastructure layers.

Responsibilities

• Design, build, and maintain real-time ML inference services
• Develop and scale backend systems in Python
• Own end-to-end ML systems (architecture, services, pipelines, infrastructure)
• Integrate ML models into production services and business logic
• Optimize systems for low latency and high throughput
• Work with streaming systems and event-driven architectures
• Ensure system reliability, monitoring, and performance in production
• Collaborate closely with Data Scientists and engineering teams

Tech Stack

• Python (core language)
• Kafka / streaming systems
• Kubernetes, AWS / GCP
• FastAPI, Triton or similar inference frameworks
• Feature stores, model serving, A/B testing, monitoring tools
• High-performance data stores (Redis, Aerospike, etc.)

Requirements

• Strong backend engineering background in Python
• Hands-on experience with MLOps and production ML systems
• Experience building and owning end-to-end systems
• Experience with real-time / low-latency systems
• Experience working with high-scale environments (large traffic, high throughput systems)
• Strong system design skills (APIs, inference services, SLAs)
• Solid understanding of the ML lifecycle (training → deployment → monitoring)

Ideal Background

• Started as a Backend Engineer (Python) and transitioned into ML Engineering / MLOps
• Built production-grade ML services, not just pipelines
• Experience in high-scale domains (AdTech, Fintech, Gaming, streaming systems)

Important Notes

• This is a high-ownership role in a core team
• The domain is complex and niche — focus is on quality over quantity
• Experience with high-scale systems is highly preferred

Not a Fit If

• Pure DevOps / Infrastructure profile
• Only worked with ML pipelines (Airflow, ETL) without production ML
• No experience with real-time systems or latency constraints
• Mostly research or Data Science background without production systems

Hiring Process

• 2–3 interview stages

This role is ideal for engineers who combine strong backend engineering with ML systems experience and enjoy building real-time, high-scale production systems from end to end.

Code&Care — is a successful full-stack development company, which provides clients with high-quality development assistance worldwide.

Now our team has a position for Senior Laravel Developer.

Requirements:

• 5+ years of experience with PHP and Laravel
• Strong experience with REST APIs
• Good understanding of Laravel (Service Container, Providers, Facades)
• Solid experience with Eloquent ORM
• Experience with Redis and caching
• Experience with queues (Laravel Queues, Horizon)
• Experience with AWS (EC2, S3, RDS)
• Strong SQL and database design skills
• Experience with Docker
• Git, Agile (JIRA)
• Upper-Intermediate or higher level of English
• Availability to overlap with UK time
 

Nice to have:
• Meilisearch / Algolia
• CI/CD (GitHub Actions)
• Multi-tenant systems
• Vue.js / Nuxt

What the company offers:
• Constant and interesting work with foreign clients
• Flexible working hours
• 50% cost compensation of sports, English lessons
• Annual paid 30 days vacation and paid sick days
• Medical insurance policy

Responsibilities:
• Develop and maintain backend on Laravel
• Build and support APIs and integrations
• Work on performance and scalability
• Implement queues, caching, and background jobs
• Collaborate with the team and participate in planning

About the role:

We are building a fintech ecosystem under FinDech, with several products in development, including Woney, Monobank.com, Chinatown Bank, and others.
 

We are looking for someone who can connect partners, product, and internal operations into one working system.
 

This is not a classic business development role.
It is also not just project management.
 

This role is about structure, execution, and bringing complex fintech setups to launch.
 

---

What you will do:

🤝 Partnerships and integrations

You will work directly with external providers, including:

• BIN sponsors
• card processors
• KYC / AML providers
• payment infrastructure partners
• banking and crypto infrastructure providers
   

Your job will be to understand not only commercial terms, but also how the real operating model works:

• who is responsible for what
• how money flows
• how data flows
• what the partner covers
• what we need to build internally

---

⚙️ Operations and process design

You will help design and document operational flows, including:

• user onboarding
• card issuing
• payment flows
• limits and risk logic
• partner handoffs
• internal approval processes

The goal is simple: turn unclear ideas into clear workflows, rules, and operating processes.

---

🧩 Product ↔ partners ↔ team coordination

You will work closely with the founder and product/development team to:

• translate business ideas into clear product and technical tasks
• define what should be handled by a partner and what should be built by our own system
• participate in feature logic and infrastructure design
• make sure partner capabilities match real product needs

This is not a UI role, but you should be able to think deeply about product logic.

---

🌍 Market launches

You will support launches in new countries and markets by helping define:

• partner requirements
• compliance requirements
• product requirements
• operational launch steps

You will help build a repeatable launch model instead of restarting from zero every time.

---

📊 Execution

You will be responsible for moving things forward.

That means:

• following up with partners
• tracking integration progress
• identifying bottlenecks
• pushing decisions forward
• making sure agreements turn into real implementation

We need someone who can bring structure where there is chaos.

---

Who we are looking for:
 

Must have

• Experience in fintech, payments, banking, or crypto infrastructure
• Understanding of how card programmes work, including BIN sponsorship and processing
• Understanding of payment flows
• Basic understanding of KYC / AML
• Ability to break complex systems into clear logic, flows, and dependencies
• Strong execution mindset
• Ability to work independently and bring things to completion

Nice to have:

Experience working with:

• BIN sponsors
• card processors such as Thredd, Clowd9, Paymentology, Tribe, etc.
• KYC providers such as Sumsub, Veriff, iDenfy, ShuftiPro, etc.
• payment providers, banking infrastructure, or crypto infrastructure

Also useful:

• experience launching fintech products
• experience launching new markets
• startup experience
• experience in fast-changing environments

---

Who this role is not for

This role is probably not a fit if you are:

• only strong in negotiations but do not understand product or infrastructure
• a pure project manager without system thinking
• a consultant who creates presentations but does not implement
• someone who needs very detailed instructions for every step
• someone who is uncomfortable with uncertainty and fast decisions

---

Work style

• Full-time role
• High level of autonomy
• Direct work with the founder
• Fast-moving environment
• Practical execution over theory
• Clear ownership of outcomes

---

What matters most

We are not looking for someone who only “manages processes”.

We are looking for someone who can build a system where there was chaos before — and bring it to a real working launch.

This role is for a person who can understand fintech infrastructure, ask the right questions, structure the answers, and push the project until it works in real life.

Our client is an international product-based IT company specializing in the iGaming industry. Born in 2014, they rocked the CIS region, and now take the success to the world. 

We are currently looking for a SEO specialist to drive organic growth in highly competitive niches, including iGaming and betting. This role is focused on strengthening online presence and supporting the overall growth of projects.

📋 Key responsibilities and your contribution:

• Developing SEO strategies for cross-brand websites targeting;
• Launching and reviewing websites: preparing technical requirements for developers and conducting technical audits of launched sites;
• Managing website content: semantic core collection, keyword clustering, text analysis of competitors’ articles, preparing briefs for copywriters, generating texts with AI, and reviewing completed content;
• Off-page optimization: auditing the backlink profile of the site and its competitors, preparing anchor lists, and purchasing links;
• Searching for and selecting drop domains, participating in auctions and purchasing them, restoring domains, placing links, and sourcing new domains;
• Monitoring search results and reacting quickly to changes;
• Analyzing competitor strategies and identifying growth opportunities for promoted websites;
• Monitoring and analytics, including conversion-focused work;
• Testing hypotheses: running A/B tests, analyzing results, and adjusting approaches accordingly.

📚 Your qualifications:

• 2+ years of hands-on SEO experience;
• Proven experience in betting / iGaming / gambling, or other gray-area, highly competitive niches targeting the CIS market (is a must), with a solid understanding of the restrictions and specifics involved;
• Ability to conduct competitor analysis and develop SEO strategies;
• Strong expertise in technical SEO, content strategy, and link building;
• Proficiency with the following tools: Ahrefs, SEMrush, GSC, GA4, Screaming Frog, Jira;
• Working knowledge of CSS/HTML required for SEO tasks;
• Ability to independently source and purchase drop domains;
• Experience collaborating with developers and copywriters;
• Self-sufficiency, strong organizational skills, and a willingness to grow and test hypotheses.

➕ Nice to have:

• Experience with behavioral factor manipulation is a strong plus.

   

Benefits:

⭐ Days of recovery: 20 paid vacation day per year and unlimited sick leave days.

⭐ Opportunities for professional development: training, workshops, internal experts, and working with modern SEO tools.

⭐ Support for initiatives and access to resources for growth.

⭐ Participation in highly competitive projects where you can quickly level up your skills.

⭐ A professional team and a product-driven approach.

We are looking for a skilled WordPress Developer to join our team and work on creating high-quality landing pages and websites. The main focus will be on building custom themes, templates, and functionalities based on WordPress — without direct integration into WooCommerce or other complex e-commerce systems.

Responsibilities:

• Develop responsive landing pages and websites using WordPress.
• Create and customize WordPress themes and templates from scratch or based on existing designs.
• Implement both front-end and back-end functionality (custom post types, taxonomies, plugins, etc.).
• Ensure cross-browser and cross-device compatibility.
• Optimize websites for speed and performance.
• Collaborate with designers and project managers to deliver high-quality results on time.

Requirements:

• 3+ years of experience in WordPress development.
• Strong proficiency in PHP, HTML5, CSS3, JavaScript/jQuery.
• Experience with WordPress theme and plugin development.
• Good understanding of WordPress core and best practices.
• Experience working with page builders (e.g., Elementor, WPBakery) is a plus.
• Basic understanding of SEO principles and website performance optimization.
• Attention to detail, responsibility, and ability to work independently.

We offer:

• Remote work with flexible working hours (part-time).
• Interesting and diverse projects.
• Competitive compensation based on skills and experience.

If you are passionate about creating clean, functional, and visually appealing websites — we’d love to hear from you!

We are looking for a Sales Engineer who can quickly learn our software products and translate technical capabilities into clear business value for customers. You will partner closely with Sales and our technical team to run discovery calls, design the right solution approach, and deliver confident, tailored demos that match the customer’s level of technical expertise.

You will work primarily with English-speaking customers across the US, Canada, and Europe. Knowledge of Ukrainian is a plus.

Key Responsibilities:

• Lead English discovery calls to understand customer goals, current workflows, constraints, and success criteria
• Analyze customer business processes and identify high-impact opportunities for process automation
• Shape the solution approach with internal technical teams, balancing feasibility, timeline, and customer priorities
• Prepare and deliver customized demos aligned to each prospect’s use case, industry language, and technical level
• Support Sales through the full presales cycle: qualification, solution positioning, technical validation, and next steps
• Provide clear, structured answers to technical questions while keeping discussions customer-friendly and outcome-focused
• Assist with RFPs / security or technical questionnaires when needed
• Capture discovery outcomes, risks, and requirements in a structured way, ensuring smooth handoff to implementation teams

What We’re Looking For (Required):

• Experience in Pre-Sales, Solutions Engineering, Technical Consulting, or Implementation Consulting for software products
• Strong technical foundation and ability to learn new platforms quickly (integrations, automation, workflows, data concepts)
• Proven ability to run effective demos: engaging, structured, and tailored to different customer audiences
• Excellent communication and presentation skills: you can explain complex topics simply, confidently, and professionally
• Strong sales awareness: you understand how deals progress and how to support Sales without turning calls into deep technical lectures
• Fluent English (Upper-Intermediate / Advanced) for customer calls, demos, and written responses

Nice to Have:

• Experience with B2B SaaS, enterprise workflows, or document/process automation platforms
• Understanding of common integration patterns (APIs, webhooks, SSO, ERP/CRM integrations)
• Familiarity with security and compliance topics (data handling, access controls, cloud fundamentals)
• Knowledge of Ukrainian (spoken/written) is a plus

What Success Looks Like:

• Customers clearly understand the value, the process, and the “how” without feeling overwhelmed
• Demos feel relevant and easy to follow, with the right level of technical depth for each audience
• Sales cycles move faster because technical risks are identified early and addressed calmly and clearly

We’re looking for an analyst with a curious and proactive mindset — someone who:

• doesn’t just build reports, but understands the story behind the numbers
• asks the right questions
• digs deeper than what’s initially requested

This is not a pure BI developer role. We’re looking for someone who thinks through data.

Qualifications:

• Analyze product and business metrics within the iGaming domain
• Build, maintain, and improve dashboards (Tableau / Power BI / similar tools)
• Work with data using SQL (data extraction, transformation, validation)
• Identify insights, trends, and anomalies in datasets
• Translate data into clear conclusions and actionable business recommendations
• Contribute to defining KPIs and key metrics
• Communicate with clients: gather requirements and уточнять задачи
• Improve existing reporting systems and analytical approaches

Responsibilities:

• 2+ years of experience in analytics (data / product / BI / marketing analytics)
• Strong SQL skills
• Hands-on experience with BI tools (Tableau, Power BI, Looker, or similar)
• Strong analytical and critical thinking skills
• Ability to structure ambiguous problems independently
• End-to-end data handling skills: from query to insight
• Clear written and verbal communication

NICE TO HAVE

• Experience in iGaming or related industries
• Understanding of product analytics (funnels, retention, LTV, etc.)
• Experience working with large datasets
• Knowledge of Python or R for data analysis
• Experience in outsourcing or consulting environments

What we offer

• 40-hour working week
• Flexible schedule
• Fully remote work
• Opportunity to work with multiple products and clients (not just one project)
• Fast professional growth through diverse cases and early-stage company exposure
• Real impact on business decisions and product development

Web Flutter Developer (Remote)

We are looking for a Web (Flutter) Developer to join the company's digital team and help support and evolve web platforms. 

What you’ll do:

• Build and maintain Flutter Web applications
• Work with Dart, async programming, and RESTful APIs / JSON
• Implement the BLoC pattern and follow MVVM / Clean Architecture principles
• Write clean, readable, and maintainable code
• Collaborate with the team and participate in code reviews

Requirements:

• Have at least 1 year of commercial experience with Flutter on web development. Experience with Dart.
• Understanding of asynchronous operations and HTTP requests
• Strong willingness to learn and grow professionally
• Team-oriented mindset
• It would be nice if you have a conversational English level, but it is not mandatory.

What company offers:

• Fully remote, work from anywhere
• Opportunity to grow into a Middle/Senior role
• Supportive team and mentorship

Who you are:

• Curious, proactive, and enjoy solving problems
• Detail-oriented and take pride in getting things right
• Communicate clearly and work well with different teams
• Motivated to build a strong foundation and grow as a web professional

Nice to have (but not required)

• Basic knowledge of PHP, HTML, CSS, JavaScript
• Exposure to CMS platforms, performance basics, or SEO fundamentals
• Interest in analytics and measurement tools (e.g. GA4)

Personal projects on Flutter (Web) to share (GitHub, portfolio, university projects).

We're looking for a QA Engineer to take ownership of quality assurance for critical backend systems in our iOS applications — from core API behavior to payment infrastructure and subscription flows.

We process subscription payments through web funnels (webview in iOS apps), so this role requires strong focus on payment systems, subscription logic, and integration reliability.

What you'll do

• Test backend APIs related to payments, subscriptions, and authentication
• Validate subscription lifecycle logic — rebilling, renewals, retries, cancellations
• Test integrations with payment systems (Stripe and similar)
• Verify webhook handling and event-driven payment workflows
• Design and execute test scenarios for critical business logic
• Perform regression testing before releases
• Test edge cases in payment flows
  (failed payments, duplicate charges, retries, cancellations)
• Analyze logs and debug backend behavior
• Collaborate closely with backend, frontend, and product teams
• When needed:
• Write automated tests (API / integration level))

Requirements

• 2+ years of commercial QA experience
• Experience testing backend systems and APIs
• Understanding of REST API testing
  (Postman, Swagger, or similar tools)
• Experience testing payment systems or financial workflows
• Understanding of subscription logic
  (subscriptions, renewals, retries, cancellations)
• Experience working with webhooks
• Ability to write clear test cases and bug reports
• Ability to analyze logs and identify root causes
• Understanding of client-server architecture
• Additional experience that will be a strong advantage:

Nice to have

Test automation experience (JavaScript / Python / Java)
Experience testing high-load systems
Experience with message queues or event-driven systems
Experience with CI/CD pipelines

We're NOT looking for

• QA engineers who only test UI
• Candidates without API testing experience
• Candidates without experience testing payment or financial logic
• People who cannot analyze root causes of failures
• Candidates without experience working with webhooks or async workflows

What we offer

• Work on a real product with direct impact on revenue
• Ownership of backend and payment systems
• Remote work and flexible schedule
• Fast product iterations without unnecessary bureaucracy
• Strong product team and engineering culture

CrunchCode — міжнародна сервісна ІТ-компанія з досвідом близько 7 років у розробці вебсервісів і вебзастосунків. Ми працюємо у форматах staff augmentation (outstaff) та outsourcing і підключаємо спеціалістів до проєктів клієнтів у довгостроковій моделі співпраці.

Ми працюємо переважно з проєктами в доменах логістики (включно з last mile),e-commerce, fintech та банкінгу, а також enterprise-рішеннями.
Для нас важливо, щоб проєкт був “чистим” і зрозумілим з точки зору етики та цінності для користувачів.

Ми принципово не беремо проєкти, пов’язані з:
● gamblng / гемблінгом,
● adult-контентом та порнографією,
● шахрайством або будь-якою розробкою, що спрямована на обман чи маніпуляції.

What We Offer:
● Fully remote work
● Long-term, stable project
● High level of autonomy and trust
● Minimal bureaucracy
● Direct impact on business-critical logistics systems
● Long-term engagement, not a short-term contract.

Project Overview
Enterprise-grade data engineering role within a Pan-Baltic banking environment. The engineer will work on large-scale data platforms, building and maintaining production-ready pipelines and modern data lakehouse architectures across the organization.

Tech Stack
Python, Apache Spark, AWS (EMR, Glue, Athena, S3), SQL, Data Lakehouse, ETL/ELT

Requirements (Must-have):
- Strong hands-on enterprise data engineering experience
- Advanced SQL skills and solid understanding of analytical and dimensional data modeling
- Proven experience with Data Lakehouse / modern data platform concepts (cloud object storage, open table formats, distributed processing)
- Strong hands-on experience with AWS data services: EMR, Glue, Athena, S3-based data lakes
- Strong hands-on experience with Apache Spark for large-scale data processing
- Strong Python skills for ETL development, data processing, and automation
- Very strong analytical, problem-solving, and system-level thinking skills
- Fluent English B2+ — required for Pan-Baltic communication (spoken and written)

Responsibilities:
- Design, implement, and maintain robust production data pipelines
- Build and optimize Data Lakehouse and modern data platform solutions
- Work with AWS data services across the full data engineering stack
- Process large-scale data using Apache Spark
- Develop ETL workflows and automation scripts in Python
- Apply advanced SQL and dimensional/analytical data modeling
- Contribute to system-level thinking and data architecture decisions

Nice to Have:
- Experience in banking or financial services
- Familiarity with data governance and compliance practices

Hiring Process:
Intro call
Technical discussion
Offer
Start: ASAP

Project Description

We are a global audience and location intelligence company that helps marketers connect the digital and physical world. We provide data-driven solutions to enhance marketing campaigns by leveraging location and audience data to reveal consumer behavior and enable more precise targeting and measurement. We work on high-end / high-performance / high-throughput systems for in-time analysis of data for autonomous driving and other big data applications e.g. for E-commerce.

Job Responsibilities

Work in a self-organised agile team with a high level of autonomy, and you will actively shape your team's culture.

Design, build, and standardise privacy-first big data architectures, large-scale data pipelines, and advanced analytics solutions in AWS.

Develop complex integrations with third-party partners, transferring terabytes of data.

Align with other Data experts on data (analytics) engineering best practices and standards, and introduce those standards and data engineering expertise to the team in order to enhance existing data pipelines and build new ones.

Successfully partner up with the Product team to constantly develop further and improve our platform features.

Requirements:

You have 4+ years of experience on similar position.

You have significant experience with Python. Familiarity with Java or Scala is a plus.

Hands-on experience building scalable solutions in AWS.

Proficiency in NoSQL and SQL databases and in high-throughput data-related architecture and technologies (e.g. Kafka, Spark, Hadoop, MongoDB, AWS Batch, AWS Glue, Athena, Airflow, dbt).

Excellent SQL and data transformation skills.

Excellent written and verbal communication skills with an ability to simplify complex technical information.

Experience guiding and mentoring junior team members in a collaborative environment.