Jobs at Djinni

Job Responsibilities:

• Configure and maintain sandbox environments (Zendesk / Intercom / Gorgias, etc.);
• Test AI solutions (chatbots, translation tools, CRM/helpdesk AI features);
• Run real customer support scenarios and evaluate system performance and quality;
• Configure chatbots and conversational flows within AI platforms;
• Compare and test AI vendors, prepare practical recommendations;
• Provide troubleshooting in test and client environments;
• Support Digital Transformation initiatives and tasks assigned by the team lead;

Candidate Requirements:

• Experience in customer support / BPO (Team Lead, Quality Control, or Senior Agent);
• Strong understanding of support operations (SLA, tickets, communication channels);
• Hands-on experience with CRM / helpdesk systems (Zendesk / Intercom or similar);
• Ability to quickly learn and navigate new systems independently;
• Strong analytical thinking and autonomy;
• English level B2+;

Nice-to-have:

• Basic understanding of APIs / integrations;
• Experience with no-code automation tools (Zapier, Make, etc.);
• Experience with AI tools, chatbots, or LLM-based solutions.
   

Accountant
Finance Department — Toda Pay
Full-time | Remote / Hybrid | Reports to CFO
 

About Toda Pay
Toda Pay is an international fintech company operating in the digital payments and financial infrastructure space across multiple jurisdictions. We support high-growth payment operations with multi-currency transactions, crypto payments, and complex corporate structures.
We are looking for a detail-oriented and proactive Accountant to join our Finance team and support core accounting operations, financial reporting, payroll processing, and coordination with external accountants and auditors across jurisdictions.
 

Position Overview
The Accountant will be responsible for executing core accounting and finance operations including payroll management, vendor invoice processing, reconciliations, month-end close, budgeting support, regulatory compliance, and audit coordination.
This role requires strong attention to detail, ability to work with multi-currency and crypto transactions, and experience operating in a fast-paced fintech environment with multiple legal entities.
 

Key Responsibilities

• Payroll Management
• Process monthly payroll for 50+ contractors across multiple currencies (EUR, USD, GBP, crypto)
• Extract payroll data from HRIS systems (PeopleForce) and prepare payroll registers
• Calculate multi-currency conversions using approved FX rates
• Process crypto payroll payments (wallet validation, network selection, fee calculations)
• Coordinate with Treasury for payroll execution
• Prepare payroll variance analysis (budget vs actual)
• Experience working with high-risk industries (including crypto / fintech / gambling / etc.)
   

Accounts Payable & Vendor Management

• Review and validate vendor invoices against contracts and purchase orders
• Reconcile provider fees using invoices and system/API data exports
• Identify discrepancies and coordinate resolution with providers
• Obtain CFO approvals and submit invoices for payment scheduling
• Maintain vendor master data in accounting systems

Month-End Close & Financial Reporting

• Perform bank and wallet reconciliations
• Record accruals for unpaid invoices, salaries, and expenses
• Prepare adjusting journal entries
• Support CFO in preparation of P&L, Balance Sheet, and Cash Flow statements
• Ensure month-end close completion by the 5th of the following month
• Prepare supporting schedules and management reporting analysis

Budgeting & Planning Support

• Support CFO in annual budgeting process
• Collect budget inputs from department heads
• Consolidate departmental budgets into company-wide financial model
• Prepare monthly budget vs actual analysis
• Investigate and document variances exceeding thresholds (>10%)
• Track budget reallocations and maintain audit trail

External Accountants & Auditors Coordination

• Act as primary liaison with external accounting firms across jurisdictions
• Provide monthly financial data for statutory reporting
• Review statutory accounts prepared by external accountants
• Coordinate annual audit process
• Prepare audit schedules and supporting documentation (PBC lists)
• Respond to auditor requests and track audit recommendations

Regulatory Compliance & Statutory Filings

• Ensure compliance with local GAAP / IFRS standards
• Prepare or coordinate VAT/GST filings
• Coordinate corporate tax submissions across jurisdictions
• File annual accounts with local registrars (Companies House, etc.)
• Prepare transfer pricing documentation where required
• Monitor regulatory deadlines and maintain compliance calendar

Intercompany Transactions

• Record intercompany loans, fees, and settlements
• Perform intercompany reconciliations
• Prepare elimination entries for consolidated financial statements

Process Improvement & Documentation

• Identify automation opportunities in accounting processes
• Document standard operating procedures (SOPs)
• Maintain proper documentation for all transactions
• Collaborate with Finance team on system improvements

Requirements
Education & Experience

• Bachelor’s degree in Accounting, Finance, or related field
• 4–6 years of accounting experience (fintech or payments industry preferred)
• Professional certification (ACCA, CPA, or equivalent) is a plus

Technical Skills

• Strong knowledge of accounting principles (IFRS / GAAP)
• Experience with statutory reporting and regulatory compliance
• Understanding of VAT/GST and corporate taxation
• Advanced Excel skills
• Experience with accounting software (QuickBooks, Xero, NetSuite, or similar)
• Multi-currency accounting experience
• Understanding of cryptocurrency transactions is a plus
• Experience with HRIS systems (PeopleForce, BambooHR, etc.)
• Experience working with external auditors and accountants

Soft Skills

• Exceptional attention to detail and accuracy
• Strong organizational and time management skills
• Ability to manage multiple deadlines across jurisdictions
• Excellent communication skills
• Proactive problem-solving mindset
• Ability to work in a fast-paced environment

Language Requirements

• Fluent English (written and spoken)
• Russian / Ukrainian / Spanish — a plus

What We Offer

• Opportunity to work in a fast-growing international fintech company
• Exposure to multi-jurisdiction financial operations
• Remote / hybrid flexibility
• Professional growth opportunities
• Collaborative team culture

Our client is a well-established European retail company with a strong international presence and millions of customers across multiple markets. The business combines traditional retail with a rapidly evolving digital ecosystem, offering an opportunity to work on large-scale platforms, customer-facing products, and data-driven solutions that directly impact everyday consumer experiences

We are looking for an experienced Cloud DevOps Engineer to join our product team. In this role, you will have complete end-to-end ownership of the application infrastructure: from building and scaling to day-to-day operational support, leveraging a centralized GCP platform.

As part of the GlobalLogic team, you will grow, be challenged, and expand your skill set, working alongside highly experienced and talented people.

If this sounds like an exciting opportunity for you, send over your CV!

Requirements

• Experience: 3–5+ years of proven commercial experience in a DevOps or Cloud Engineering environment.
• GCP Expertise: In-depth technical knowledge of the Google Cloud Platform ecosystem (specifically GKE, Cloud Run, IAM, VPC, DNS, Load Balancing, Secret Manager).
• Terraform: Hands-on experience in production-grade environments (modular repositories, multi-environment setups, Plan/Apply within automated CI/CD workflows).
• Kubernetes: Solid understanding of K8s fundamentals (Networking, Ingress, RBAC, Operators, Storage).
• Scripting & Automation: Strong scripting capabilities in Shell/Bash.
• Networking Knowledge: Foundational understanding of enterprise network protocols and topologies.
• Observability: Familiarity with modern enterprise monitoring and logging stacks (e.g., Datadog, GCP Monitoring/Logging).
• English: Fluent English communication skills for daily interaction.
• Availability: Willingness to participate in an on-call rotation.

Nice to Have:

• Programming experience in Golang.
• Professional proficiency in German.

Job responsibilities

• Infrastructure as Code (IaC): Build, operate, and maintain scalable infrastructure on GCP using Terraform (leveraging centrally managed modules and automated pipelines).
• CI/CD Management: Establish, configure, and optimize robust application deployment pipelines within GitLab CI/CD.
• Kubernetes Orchestration: Manage core K8s resources (Deployments, RBAC, Networking, Policies, Upgrades) and oversee releases using Helm.
• Security & Integration: Enforce a secure-by-default approach across all layers (IAM, Secrets, Networking, TLS). Seamlessly integrate and utilize core platform services (Logging, Secrets Management, VPC, DNS).
• Day-to-Day Operations: Provide operational support, including incident response, proactive infrastructure maintenance, and analyzing performance bottlenecks.
• Cross-Functional Collaboration: Partner closely with the centralized Platform Engineering team to align on governance policies and shared Terraform modules.

What is this project about?

An AI-powered analytics platform built for the defense domain. It ingests and analyzes data from multiple sources, automatically surfacing key findings and generating actionable insights and recommendations. By automating heavy manual analysis, the platform helps organizations make faster, better-informed decisions, reduce manual effort, and improve overall operational performance.

What is the team size and structure?

Project Manager, Backend and ML Engineers, UI/UX Designer, DevOps.

Hard skills

● 7+ years of experience in Software Engineering;
● Strong experience designing complex distributed systems and service-oriented architectures;
● Hands-on experience with AI/ML system architecture, including LLM-based systems, inference layers, vector search, and data pipelines;
● Solid understanding of LLM reasoning, tool calling, agent orchestration, and human-in-the-loop workflows;
● Ability to decompose complex platforms into services, modules, and integration layers, and to define clear boundaries between LLM, ML, deterministic logic, and human validation;
● Strong understanding of data architecture: data lakehouse, vector databases, object storage, and federated queries;
● Experience designing for scalability, latency, throughput, and fault tolerance;
● Experience designing secure systems for sensitive or critical data, with awareness of AI security risks (prompt injection, unsafe tool execution, data leakage, runtime protection);
● Strong documentation skills: architecture diagrams, ADRs, technical specifications, and integration flows;
● Ability to work with incomplete information, technical uncertainty, and evolving requirements;
● High level of ownership, technical leadership, and proactive decision-making;
● Upper-Intermediate level of English.

Responsibilities

● Design end-to-end system architecture for the AI-based data analysis platform;
● Decompose the system into services: agent runtime, orchestration, inference layer, data layer, security layer, and integrations;
● Define boundaries between LLM reasoning, ML processing, deterministic rules, and human decision-making;
● Design architecture for AI recommendations, next-best-action logic, semantic search, and data analysis workflows;
● Design a scalable inference architecture and model-serving approach;
● Define latency, throughput, fault-tolerance, and scaling strategy from single-node to cluster deployment;
● Design data architecture for ingestion, storage, cataloging, vector search, querying, and access control;
● Define the orchestration approach for long-running AI/agent workflows;
● Establish security, auditability, runtime protection, and data leakage prevention principles;
● Collaborate with engineering, DevOps, ML/data engineers, product, and business stakeholders;
● Support technical discovery, feasibility analysis, POC creation, concept validation, estimation, and roadmap planning;
● Identify architectural risks, dependencies, constraints, and mitigation options;
● Prepare and maintain architecture documentation, diagrams, ADRs, and technical recommendations;
● Guide engineering teams on implementation approach, scalability, performance, and architectural standards.

Nice to have

● Experience in the Defense/MilTech and AI domains;
● Experience with on-premise/hybrid infrastructure.

At Crunch-IS, we don't just build technology — we create an environment where talented people can grow, develop innovative solutions, and truly feel their impact. We are a global team with a strong engineering culture, open communication, and genuine passion for what we do. No unnecessary hierarchy or bureaucracy — just professionals collaborating on meaningful and exciting challenges.

Crunch-IS is a trusted software development and technology consulting partner specializing in Artificial Intelligence, Machine Learning, Cloud/DevOps transformation, and Data Analytics. Since 2018, we've partnered with startups, fast-growing companies, and global enterprises across the USA and UK, helping them solve complex challenges in industries such as Healthcare, FinTech, Logistics, and Oil & Gas.
 

We're looking for a 3D Frontend Engineer to join a team building large-scale point cloud rendering pipelines, interactive 3D scenes, and custom WebGL-based viewer tooling — working deep in the Three.js / React Three Fiber / Potree stack.
 

Responsibilities:

— Build and optimize large-scale point cloud rendering pipelines using Potree
— Develop interactive 3D scene experiences with Three.js and React Three Fiber
— Implement custom viewer tooling on top of WebGL — Ensure performance and stability across complex 3D rendering scenarios
— Collaborate with engineering teams on architecture and feature delivery
 

Requirements:

— Strong hands-on experience with Three.js and React Three Fiber
— Experience working with point cloud data and Potree (or similar tools)
— Solid understanding of WebGL and 3D rendering fundamentals
— Ability to optimize performance for large-scale 3D scenes
— Experience in a product or engineering-focused environment
 

Nice to have:

— Experience with custom shader development (GLSL) — Familiarity with geospatial or LiDAR data formats — Background in building viewer or inspection tooling

What is your new project?

• Domain: AdTech / Digital Product Distribution
• Client Location: Israel
• Company size: 11–50

• Founded in: 2017

   

What makes this project exciting?

As a leading digital ad tech company, our client utilizes multi-channel solutions to monetize audiences across the web. One of their primary channels focuses entirely on free downloadable products, utilizing search feeds and monetization models to drive revenue from post-installation user engagement.

What makes you a great fit

• 10+ years of deep experience in Windows Internals, low-level programming, and binary analysis.
• Advanced C/C++ and x86/x64 Assembly for both reverse-engineering and higher-level desktop product development/rebranding.
• Expertise with standard tooling: IDA Pro / Ghidra, x64dbg / WinDbg.
• Hands-on, deep understanding of hooking and injection techniques: API / inline hooking (Detours-style), IAT/EAT hooking, DLL injection (reflective, manual mapping), and process injection (CreateRemoteThread, APC queue, thread hijacking, process hollowing).
• Solid knowledge of Win32 / NT API internals, memory management, and code execution flow under Windows.
• A "Hacker at Core" mindset: Ability to look at automatic flagging, anti-virus blocks, or negative signals without being intimidated, and creatively find ways around them.
• Comfortable with Open Research & Investigative tasks: Proven track record of working without a blueprint or source code, where you need to invent or reinvent solutions from scratch.

• Strong self-reliance and documentation skills to drive your own milestones and report findings so a teammate can re-walk them from your notes.

   

Your day-to-day in this position

• You will reverse-engineer proprietary, third-party Windows products to recover undocumented behavior, derive interop specifications, and produce reference reproductions of how complex commercial software actually works under the hood.
• The work is investigative: no source code is available.
• Most days end with a refined hypothesis rather than a finished feature.
• We expect you to drive your own research, set your own milestones, and report findings a teammate could re-walk from your notes alone.
• Analyze and bypass security and anti-virus mechanisms: Deep-dive into Windows Defender, browser protections, and EDR signals to ensure a clean, unblocked installation flow for our software ecosystem.
• Handle end-to-end product engineering: Transition seamlessly from low-level research to higher-level development tasks, including taking existing products, rebranding, and fully preparing them for global distribution.

• Invent creative workarounds: Face automated flagging and negative SEO head-on, coming up with unorthodox, custom solutions where no blueprint or standard documentation exists.

   

Why work with us?

• People-first management with minimal bureaucracy
• A friendly company culture, proven by employees who choose to return
• Flexible working hours
• Full financial and legal support for independent contractors
• Free English classes, with native speakers or Ukrainian teachers

• Dedicated HR support

   

Our next steps

✅ Intro call with a Recruiter — ✅ Intro with the client — ✅ Home assignment — ✅ Offer

Location: Remote (Ukraine / worldwide)
Company: Claspo — Ukrainian MarTech SaaS
Reports to: CEO
Growth target: $70K MRR

ABOUT CLASPO

Claspo is a pop-up builder that helps e-commerce and growth teams turn existing site traffic into more opt-ins, sales, and revenue.

We are a Ukrainian MarTech SaaS operating globally since 2022. Our users get better results thanks to a library of 1,000+ CRO-ready templates, gamified widgets (spin wheels, scratch cards, gift boxes), smart targeting, and native Shopify integrations — including dynamic, single-use promo codes.

Our priority market is Shopify DTC brands with 50K—1M monthly visitors. We compete in a crowded pop-up/CRO space (OptiMonk, Wisepops, Privy, and others) and win on gamification depth, design quality, and conversion outcomes.

Learn more: claspo.io

WHY THIS ROLE MATTERS NOW

This is a pivotal moment to join Claspo. We have product-market fit, an established marketing team, and a clear growth target: scaling MRR to $70K.

You will own the full marketing strategy and execution — not as a distant strategist, but as a hands-on leader who builds systems, holds the team accountable, and drives measurable revenue growth.

You’ll inherit active acquisition channels, an established marketing team, and a product with paying customers worldwide. The challenge is not to start from zero, but to build a scalable growth system.

WHAT YOU WILL OWN

Revenue growth

• Define and deliver the path to $70K MRR
• Own contribution to pipeline, trials, activations, and paid conversions
• Model, forecast, and optimize the full marketing funnel — from awareness to revenue
• Continuously reduce CAC while improving conversion across the funnel

Channel strategy and execution

You will lead and optimize our current growth channels:

• Brand — Reddit, LinkedIn, Shopify/Klaviyo communities. Build visibility, trust, and brand-led demand.
• Partnerships — Agencies, affiliates, media partners. Scalable co-marketing and referral revenue.
• Marketplaces — Shopify App Store and other distribution platforms.
• SEO — Organic acquisition, content, and LLM/AI visibility.
• PPC — Paid search and performance campaigns with clear ROI.

You will scale what works, stop what doesn’t, and test new channels when the data supports it.

Brand among Shopify merchants

• Make Claspo a recognized, trusted brand in the Shopify ecosystem
• Build presence where merchants actually ask for recommendations — Reddit threads, community forums, partner channels, and review sites
• Turn brand visibility into measurable engagement: signups, trials, and marketplace installs

Team leadership and operations

• Lead the marketing team to hit both growth and operational targets
• Set clear KPIs, run weekly/monthly/quarterly reporting for the executive team
• Build processes so the team executes consistently — not heroically
• Hire, develop, and retain high-performing marketers as we scale
• Manage marketing budget with full transparency and accountability

Cross-functional growth

• Work directly with the Founder, Product team, Sales, and Customer Success to influence both go-to-market strategy and product direction
• Optimize website, landing pages, and conversion paths (CR, messaging, UX)
• Align marketing with the product roadmap and contribute to product growth initiatives

WHAT WE’RE LOOKING FOR

Must have:

• 5+ years in marketing, including 3+ years in a leadership role (Head of Marketing, VP Marketing, or CMO)
• Proven track record of scaling ARR/MRR in B2B SaaS — ideally MarTech, ecommerce tools, or CRO products
• Hands-on experience with our core channels: SEO, PPC, partnerships, community/brand marketing, and app marketplaces
• Exceptional data and analytics skills — funnel modeling, attribution, dashboards, and ROI reporting
• Experience building and leading teams that deliver on measurable targets
• Excellent English (C1+) — you will write, present, and communicate with a global audience daily
• Comfort in a fast-paced, ambiguous scale-up environment — pragmatic, direct, low bureaucracy
• Strong experience using AI tools to improve productivity, experimentation, analytics, content, and marketing operations

Strong plus:

• Experience growing a brand through Reddit, LinkedIn, and community-led marketing
• Strong Shopify ecosystem knowledge — how merchants discover, evaluate, and buy apps
• Background in pop-up/CRO, email marketing, or ecommerce retention tools
• Experience with agency and affiliate partnership programs
• Shopify App Store optimization and marketplace growth
• SQL, Looker/Data Studio, or similar analytics tooling
• Understanding of LLM/AI search visibility and modern SEO beyond traditional rankings

WHAT SUCCESS LOOKS LIKE IN 12 MONTHS

• MRR trajectory clearly on path to $70K
• Marketing team consistently hits quarterly KPIs
• Claspo is mentioned and recommended in the target Shopify/ecommerce communities
• Channel mix is optimized — each channel has a clear ROI and owner
• The executive team has transparent, reliable marketing reporting
• Strong brand recognition among Shopify DTC merchants in our ICP (50K—1M monthly traffic)

WHAT WE OFFER

• Direct impact on a global SaaS product with real users and international customers
• Report to the Founder & CEO — short decision lines, real ownership
• A marketing team already in place (Content team, SEO, PPC, template team, design, lifecycle) — your job is to lead, focus, and scale
• Freedom to build the strategy and stack the team you need
• Flexible schedule (40 hours/week), fully remote
• 18 paid vacation days (don’t expire)
• Paid sick leave
• 50% compensation for professional training and English courses
• A team that values initiative, speed, and results over process theater

If you’re excited about building a category-recognized brand, scaling a global SaaS product, and turning marketing into a predictable growth engine, we’d love to hear from you.

Are you passionate about building cutting-edge, AI-ready data platforms from the ground up? We are looking for a Senior Data Engineer to join our Data Engineering Team and lead high-impact, greenfield initiatives.

You will work on building modern cloud-native data platforms, migrating on-premises legacy systems to the cloud, and laying the architectural foundation for AI-ready data infrastructure.

In this role, you will collaborate closely with Machine Learning, Data Science, and Product teams, serving as a key technical contributor and thought leader. You will also drive R&D efforts around agentic AI architectures, event-driven systems, and LLM-ready data pipelines — turning architectural concepts into production-grade solutions.

Responsibilities:

• Design and build scalable, cloud-native data platforms from greenfield to production
• Implement near-real-time ingestion pipelines using event-driven patterns
• Define and enforce platform standards, including Data Lake / Lakehouse principles, medallion architecture, and data contracts
• Refactor and optimise existing Spark and PySpark scripts for performance and maintainability
• Introduce best practices for code quality, testing, and CI/CD across data pipelines
• Drive adoption of AI tooling and agentic workflows within the data engineering team
• Ensure data quality, observability, and reliability across all pipelines and platforms

• Develop self-service tooling and microservices to simplify platform usage for other teams

   

Requirements:

• 5+ years of professional experience in Data Engineering
• Strong Python and SQL development skills for pipeline development and optimisation
• Proficiency in Apache Spark / PySpark, including query optimisation and performance tuning
• Hands-on experience with Databricks (preferred) or Snowflake
• Experience with at least one major cloud provider: Azure (preferred), AWS, or GCP
• Experience with stream processing technologies (Kafka, Spark Structured Streaming)
• Solid understanding of ETL/ELT patterns, data modelling (dimensional, Data Vault), and data warehousing
• Experience with orchestration tools (Apache Airflow, Azure Data Factory, or equivalent)
• Knowledge of Infrastructure as Code (Terraform or equivalent)
• Understanding of production-grade system requirements: reliability, scalability, observability, and performance

• Upper-Intermediate English level

   

Will be a plus

• Familiarity with RAG pipeline design and LLM integration patterns
• Knowledge of data governance frameworks and tools (Unity Catalog, Apache Atlas, or similar)
• Experience with dbt for data transformation and modelling

• Familiarity with MLflow, Feature Stores, or ML platform integration

   

Personal profile

• Self-driven and proactive in identifying improvements
• Comfortable working in a fast-paced, innovative environment
• Strong problem-solving mindset with attention to detail
• Open to experimenting with emerging technologies and approaches

_____________________________________________________________

Ти захоплюєшся створенням передових, AI-ready дата-платформ з нуля? Ми шукаємо Senior Data Engineer, щоб ти приєднався(-лася) до нашої команди Data Engineering та очолив(-ла) масштабні, інноваційні ініціативи з нуля.

Ти працюватимеш над побудовою сучасних хмарних дата-платформ, міграцією локальних (on-premises) легасі-систем у хмару та створенням архітектурного фундаменту для AI-ready дата-інфраструктури.

У цій ролі ти тісно співпрацюватимеш з командами Machine Learning, Data Science та Product, виступаючи ключовим технічним експертом та лідером думок. Також ти вестимеш R&D-роботи над agentic AI-архітектурами, подієво-орієнтованими системами та LLM-ready дата-пайплайнами — перетворюючи архітектурні концепції на готові до продакшену рішення.

Обовʼязки:

• Проєктувати та створювати масштабовані, хмарні дата-платформи від концепції до продакшену
• Реалізовувати пайплайни для майже реального часу (near-real-time ingestion) з використанням подієво-орієнтованих патернів
• Визначати та впроваджувати стандарти платформи, включно з принципами Data Lake / Lakehouse, медальйонною архітектурою та дата-контрактами
• Рефакторити та оптимізувати наявні скрипти на Spark та PySpark для підвищення продуктивності та зручності підтримки
• Запроваджувати найкращі практики якості коду, тестування та CI/CD для дата-пайплайнів
• Сприяти впровадженню AI-інструментів та agentic-підходів у команді дата-інженерів
• Забезпечувати якість, спостережуваність (observability) та надійність усіх пайплайнів і платформ

• Розробляти self-service інструменти та мікросервіси, що спрощують використання платформи іншими командами

   

Вимоги:

• 5+ років комерційного досвіду в Data Engineering
• Сильні навички розробки на Python та SQL для створення та оптимізації пайплайнів
• Впевнене володіння Apache Spark / PySpark, включно з оптимізацією запитів та налаштуванням продуктивності
• Практичний досвід роботи з Databricks (бажано) або Snowflake
• Досвід роботи з принаймні одним великим хмарним провайдером: Azure (бажано), AWS або GCP
• Досвід роботи з технологіями потокової обробки даних (Kafka, Spark Structured Streaming)
• Глибоке розуміння ETL/ELT-патернів, моделювання даних (dimensional, Data Vault) та побудови дата-складів
• Досвід роботи з інструментами оркестрації (Apache Airflow, Azure Data Factory або аналогами)
• Знання Infrastructure as Code (Terraform або аналогів)
• Розуміння вимог до продакшен-рішень: надійність, масштабованість, спостережуваність, продуктивність

• Рівень англійської — Upper-Intermediate

   

Буде плюсом:

• Знайомство з проєктуванням RAG-пайплайнів та патернами інтеграції LLM
• Знання фреймворків і інструментів для data governance (Unity Catalog, Apache Atlas або подібних)
• Досвід роботи з dbt для трансформації та моделювання даних

• Знайомство з MLflow, Feature Stores або інтеграцією з ML-платформами

   

Особистий профіль:

• Самомотивованість та проактивність у пошуку покращень
• Комфортна робота у швидкому та інноваційному середовищі
• Сильне аналітичне мислення та увага до деталей
• Відкритість до експериментів з новими технологіями та підходами

Requirements

• Strong knowledge of PHP (1+ year of hands-on experience) and Laravel framework (1+ year);
• Basic understanding of front-end technologies: JavaScript, HTML5, CSS3;
• Experience with version control systems such as Git, Bitbucket, or similar;
• Hands-on experience integrating third-party APIs (Google, Facebook, and others);
• High level of self-organization, responsibility, creativity, and professional ethics;

• Strong communication skills and a proactive mindset. 

  Responsibilities

• Develop, maintain, and support company websites and web applications;
• Communicate with clients, clarify requirements, answer questions, and provide effective solutions;
• Participate in all phases of the software development lifecycle;
• Follow best practices in coding, security, and data protection, especially when working with sensitive data (API keys, tokens, etc.);

• Collaborate with the team to improve product quality and performance.

   

  We offer an opportunity to grow professionally, work on interesting projects, and be part of a supportive and dynamic team.

We're looking for a smart QA engineer who can operate independently on a small remote team — flexing between manual, automation, and exploratory work as the situation calls for it, using AI tools to move faster.
 

What you'll do:

• Own QA across multiple projects — manual, automated, and exploratory
• Build and maintain automated test suites
• Catch the bugs developers miss — including the ones that aren't obvious from the ticket
• Work directly with developers from Jira tickets through to release
• Use AI tools (Claude Code) as a core part of your QA process — writing test cases, generating test data, analyzing failures, exploring edge cases, documenting bugs, and accelerating everything in between
   

Must-haves:

• Real QA experience — you've owned quality for a real product
• Comfortable with automation
• Self-starter — you figure out what to test, not wait for assignments
• Daily, hands-on use of AI tools — we'll ask you about your workflow
• Comfort working async in a remote team
• English proficiency

We are seeking a highly skilled and motivated Android BSP Engineer with deep expertise in Android platform development, BSP customization, and system integration. The ideal candidate will bring extensive experience in embedded software/firmware development, Android HAL, and Android BSP, with strong knowledge of Android camera, display, and media subsystems.

This role offers the opportunity to work with the latest Android versions (preferably Android 14 and beyond), contributing to the development and optimization of Android-based embedded platforms. You will work at the intersection of hardware and software, helping to integrate, customize, and enhance core Android platform components while solving complex system-level challenges.

You’ll be part of a cross-functional team developing and optimizing Android-based platforms, collaborating closely with hardware and software engineers to deliver robust, scalable, and high-performance solutions.

Technical Requirements:

• 8+ years of professional experience in embedded software/firmware development.
• 2+ years of hands-on experience with Android BSP development, platform customization, and system integration.
• Hands-on experience with Android AOSP development.
• Strong understanding of recent Android versions, features, APIs, and changes (preferably Android 14 or later).
• Experience working with Android HAL and Android subsystems, particularly Camera, Display, and Media.
• Strong understanding of Android platform architecture and interactions between BSP, HAL, Android subsystems, and hardware components.
• Strong proficiency in C/C++ development.
• Solid experience in Embedded Linux development, including power management, display drivers, and connectivity stacks such as Wi-Fi and Bluetooth.
• Familiarity with Android development tools and workflows, including ADB, Fastboot, Repo, Git, Gerrit, and GitHub.

Responsibilities:

• Work with Android source code and build system: synchronize repositories, manage branches and patches, integrate third-party components, and resolve build issues and conflicts.
• Develop, customize, and maintain Android BSP components, platform integrations, and system-level features for Android-based embedded devices.
• Modify and improve Android platform components according to project requirements, including customization for specific hardware and product needs.
• Develop, integrate, and maintain Android HAL components and support Android subsystems, particularly camera, display, and media.
• Collaborate with hardware teams to support platform bring-up, hardware integration, validation, and troubleshooting activities.
• Customize and maintain Linux kernel and embedded platform components: configure Device Tree, integrate and modify drivers, and support hardware-specific functionality.
• Debug and diagnose software and hardware issues across Android BSP, HAL, camera, display, media, and Embedded Linux layers using logcat, dmesg, ADB, and other debugging tools.
• Analyze root causes, document solutions, and contribute to system stability, performance optimization, and overall platform reliability.

Important: if you believe your experience matches this position, please make sure that all relevant technologies, tools, and skills required for the role are clearly reflected in your CV. We can only evaluate qualifications that are explicitly listed in the resume.

Required skills experience

BSP 3 years

AOSP 1 year

Linux Kernel 2 years

Required languages

English B2 - Upper Intermediate

We are not looking for just a "creative" or an "SMM manager." We are looking for a Growth Architect who understands that content on TikTok is not just art—it is a mathematically driven tool for generating revenue.

Your primary metric is not likes; it is GMV (Gross Merchandise Value). Your primary tool is not inspiration; it is hypothesis testing.

🎯 Who Are We Looking For?

You are the perfect candidate if you are a Performance Marketer with a passion for content, or a Growth Manager who knows how to break down a viral video into its core components.

Your Experience:

• 2–3+ years in performance marketing, e-commerce, or media buying.
• Experience with TikTok Ads / TikTok Shop or Western markets (US/UK).
• You haven't just "seen" a sales funnel; you have personally optimized one (CTR → CR → Average Check).
• Proficiency in analytical tools (Excel / Google Sheets are your best friends).

🧠 What You Will Do (Your Daily Cycle):

Your work is a continuous cycle of Audit → Hypothesis → Test → Scale:

1. Diagnosis: Analyze the funnel to identify where we are losing money. Why is a user watching but not buying?
2. Strategy: Define growth vectors. What offers, triggers, and "hooks" will resonate with our audience?
3. Hypothesis Generation: Create clear briefs for the content team based on the principle: "If we use this hook → we will gain +10% CTR → because it addresses this specific customer pain point."
4. Performance Analysis: Ruthlessly cut what doesn’t work and scale what generates revenue.

💎 What We Offer:

• Real Impact: You don’t just execute tasks; you determine how the business grows.
• No Micromanagement: We care about results (GMV), not the number of hours spent in meetings.
• Flexible Motivation: A stable base salary + bonuses directly tied to the success of your hypotheses and sales growth.

📢 About the Role

This is a "Growth Brain" position. You will be responsible for building a repeatable growth system that converts:
👉 Creatives + Hypotheses → Metrics → GMV → Scalable Growth.

If you are ready to build a system rather than just "make content," we look forward to receiving your CV!

At AMS Pilot, we are looking for an Account Manager to become the coordination hub and the "growth brain" of our TikTok Shop projects. This role is for a systematic thinker who can transform data into strategy, identify analytical anomalies before anyone else, and manage the team’s workflow to ensure consistent GMV growth.
 

🧠 What You Will Do

You will manage projects through the following cycle: Data → Problem → Hypothesis → Task → Control.

• Data Strategy: Daily analysis of the sales funnel and understanding the cause-and-effect relationships behind the metrics.
• Operations Control: Monitoring account "health" (violations, statuses, logistics) to ensure uninterrupted store operations.
• Team Coordination: Assigning and supervising tasks for affiliate managers, the content department, and media buyers.
• Performance Reporting: Preparing analytical reports with concrete insights and recommendations for further scaling.
   

🎓 Our Expectations

• Experience: At least 2 years as an Account Manager, Project Manager, or Performance Manager within e-commerce or marketing agencies.
• English Level: C1 (Advanced).
• Analytical Mindset: Deep data analysis skills and proficiency in Excel/Google Sheets.
• System Thinking: Ability to view a project as a holistic system and manage multiple processes simultaneously.
• Ownership: Accountability for results and a proactive approach to problem-solving.
   

💎 What We Offer

• Salary: Competitive compensation based on interview results.
• Remote & Full-time: Work from anywhere with a focus on results.
• Time Off: Paid vacation and sick leave.
• Growth: Continuous learning, development opportunities, and professional scaling.
• Global Scale: Direct involvement in ambitious international projects.
   

Ready to orchestrate successful TikTok Shop projects? Send your CV and let’s build a growth story together!

About us:

EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 200 customers worldwide.

But that's not all! We're not just about numbers, we're about people. With a team of over 1000 passionate individuals spread across twelve countries in Europe, Asia, and the US, we're all united by our love for innovation and teamwork.

EveryMatrix is a member of the World Lottery Association (WLA) and European Lotteries Association. In September 2023 it became the first iGaming supplier to receive WLA Safer Gambling Certification. EveryMatrix is proud of its commitment to safer gambling and player protection whilst producing market leading gaming solutions.

Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time.

We are looking for a passionate and dedicated AI Engineer to join our team in Lviv!

About the job:

We’re looking for an AI/ML Engineer to support and build AI-powered solutions that enhance automation, analytics, and intelligent workflows across our products. You’ll work with modern LLMs, AI agents, retrieval systems, and scalable backend services, taking ideas from prototype to production in a fast-moving environment and building scalable solutions in a high-impact domain. The ideal candidate for us has strong software engineering fundamentals, practical experience with generative AI systems, and hands-on experience building robust pipelines and production-grade solutions.

What You'll get to do:

• Design, develop, and deploy AI-powered applications and services.
• Integrate LLMs and AI APIs into production systems.
• Build and optimize RAG pipelines, embeddings workflows, and vector search solutions.
• Develop AI agents and workflow automation systems.
• Work with structured and unstructured data for AI-driven use cases.
• Collaborate with Data Engineers and Backend Engineers on scalable infrastructure.
• Monitor AI system performance, quality, latency, and cost efficiency.
• Experiment with prompt engineering, fine-tuning, and model evaluation techniques.
• Participate in architecture discussions and contribute to technical decision-making.

What You need to know:

• Degree in Computer Science, Mathematics, Engineering, or equivalent field.
• 3+ years of hands-on experience in applied AI-engineering.
• Strong programming skills in Python.
• Experience working with LLMs and modern AI frameworks such as LangChain, LlamaIndex, or similar.
• Understanding of RAG architectures, embeddings, vector databases, and semantic search.
• Experience integrating external APIs and cloud-based AI services.
• Knowledge of REST APIs, microservices, and scalable backend architectures.
• Familiarity with Docker, CI/CD, and cloud platforms, especially GCP.
• Strong problem-solving skills and ability to work independently.
• Interest in AI automation, intelligent systems, and applied generative AI solutions.
• Experience in Python backend engineering will be a plus.
   

Here's what we offer:

• Start with 22 days of annual leave, with 2 additional days added each year, up to 32 days by your fifth year with us.
• 3 sick leave days per year, no doctor's note required; 30 medical leave days with medical allowance
• Hybrid work schedule is available after the first three months of employment with 80/20 office/home format until the end of 2026. Starting from 2027, the policy will transition to primarily office-based work, with up to 10 work-from-home days per year with manager approval.
• Benefit from two Free Fridays each year, limited to one per quarter.
• Daily catered lunch or monthly lunch allowance. 
• Private Medical Subscription. 
• Access online learning platforms like Udemy for Business, LinkedIn Learning or O’Reilly, and a budget for external training.
• Gym allowance.
• Corporate English lessons.
• Support for New Parents:
• 21 weeks of paid maternity leave, with the flexibility to work from home full-time until your child turns 1 year old.
• 4 weeks of paternity leave, plus the flexibility to work from home full-time until your child is 13 weeks old.

Our office perks include on-site massages and frequent team-building activities in various locations.

At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference!