Jobs at Djinni

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

About your role: You will create high-impact creatives across paid traffic channels, directly supporting the performance of our user acquisition efforts in US, UK, CA, and AU markets — one of the most competitive niches in the industry. You'll be involved from concept ideation through to final delivery, working closely with designers, the UA team, and cross-functional partners.

Here you'll enjoy full ownership and the freedom to make independent decisions in your area of responsibility, within a bureaucracy-free environment built on fast, direct communication.

 

In this role, you will

• Creative production for each traffic channel (Meta, TikTok, Snapchat, DSP, Google)
• Collaborate with designers to create visual and textual content for each platform
• Develop and brainstorm creative concepts, from initial ideation to finalized execution
• Analyze competitors' concepts to generate new ideas and provide creative inspiration for the design team
• Research user behavior and funnels, identifying factors that impact performance and success
• Close cooperate with the user acquisition team and other departments (analytics, product team, b2b)
• Analyze creative testing, including structured reporting for product & marketing teams"

It’s all about you

• At least 6 months of experience in performance marketing with a focus on app and/or web projects
• KPI-driven mindset: hands-on daily work with CPA, CTR, ROI, and a clear understanding of how to hit and optimize targets
• Experience creating detailed technical briefs for designers to ensure effective creative production
• Proven ability to conduct competitor and market research and translate insights into strategy
• Confident user of analytical and data visualization tools (GA4, Looker Studio, Power BI, Tableau)
• Strong organizational skills: backlog management, task prioritization, launch planning, and production coordination
• English level B2+

Nice to have:

• Experience in the social discovery niche
• Familiarity with AI tools for creative generation or performance analysis

What we offer

Care and support: 

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

Comfortable working environment:

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

Investment in your future:

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

Hiring process

• Interview with HR
• Test Task
• Interview with Hiring Team
• Bar-rasing 
• Reference check
• Offer

Our client is a payment provider seeking a proactive, hunter-minded B2B Sales Executive to accelerate the adoption of its transactional financial products. You will manage the entire outbound sales cycle, pitching dedicated corporate IBAN accounts and global card issuing solutions to clients.

📋 Key responsibilities and your contribution:

• Identify, map, and thoroughly research target corporate clients worldwide. Target verticals: e-commerce, media buyers, and high/medium tech firms.
• Execute cold and warm multi-channel outreach strategies (LinkedIn, email, phone) to connect with decision-makers like CEOs, CFOs, Heads of Payments, and Treasury Managers.
• Attend high-visibility fintech expos, payment forums, and industry conferences to capture high-value inbound leads and pitch live.
• Assess the unique cross-border flows of prospects, tailoring customized proposals that combine our multi-currency SEPA/SWIFT wire routing and high-approval card networks.

📚 Your qualifications:

• 3+ years of proven B2B sales experience working inside an EMI, payment service provider (PSP), card acquiring network, or commercial transaction bank.
• Clear understanding of how a SEPA Instant wire flows, how SWIFT intermediate banking networks clear, and what a "high approval rate" card BIN means for international ad spend platforms.
• An existing active book of business or strong network of digital merchants, affiliates, or corporate entities requiring reliable payment rails.
• Solid knowledge of standard corporate onboarding workflows (KYB/KYC expectations) to ensure deals passed to the risk team are pre-vetted.
• Full working fluency in English is mandatory. Fluency in another major European language (e.g., Spanish or German) is a heavy plus.

Benefits:

⭐ Competitive base salary accompanied by an uncapped, performance-linked commission model tied to transaction processing volumes.

⭐ Flexible remote work.

⭐ Paid travel allowances for fintech networking expos and industry summits.

Account Manager for AI Calls Startup 19.08.26

About Us

We are a fast-growing and leading company in the AI Voice space for the iGaming industry. Our AI Voice & Messaging Player Activation Platform helps casino and betting operators turn registrations into deposits and reactivate inactive players — improving Reg→Dep conversion and player LTV at a scale human call centers can't match. Our product is already used by 20+ brands across 8+ geographies. We are funded and building a team of top-tier talent.

Who We're Looking For

We are looking for an Account Manager who will own client results after the sale. You take the client over at kickoff and become their main point of contact: you design campaigns from our funnel library, own the campaign spec, interpret results, present reports, and prepare data-based briefs for the next launches. You work in a trio: a Coordinator handles data collection, statuses, and ops routine; Sales closes commercial deals — you own decisions and results.

About You

You come from Retention / CRM in iGaming and understand how player campaigns actually work: bonus mechanics, segmentation, reactivation logic. You read campaign analytics and turn numbers into decisions and next steps. You build warm, trusted relationships with clients and can defend your recommendations in English.

What Awaits You

A high-intensity team where everyone is focused on results. No bureaucracy, no pointless rules, no slow teammates. Transparent motivation tied directly to the value you create: bonus per launched campaign plus a recurring bonus per active brand on subscription. Clear processes, playbooks, and a funnel library from day one — and real room to grow as the department scales.

Responsibilities

• Own the client relationship after kickoff: onboarding call, regular syncs, main point of contact.
• Qualify each project and select the funnel and segment logic from our funnel library.
• Fill in the campaigns: segments, agent & SMS scripts and parameters, volumes, dates, alerts, postbacks.
• Own launched campaigns by result: interpret metric deviations, decide on pauses and changes.
• Check in with clients after launch: conversions visible on their side, traffic quality.
• Interpret campaign analytics, build reports present to clients.
• Prepare plan scaling of clients, brands to new geos, segments, etc.
• Escalate complex cases and needs for new funnels or scripts to the Retention Manager, with campaign data.

Requirements

• 2+ years in Retention / CRM / Account Management in iGaming, Gambling, or Betting — Retention or CRM Manager is the ideal background
• Understanding of retention mechanics: bonuses, segmentation, reactivation, player lifecycle.
• Confident with metrics: Reg→Dep conversion, LTV, GGR/NGR — plus campaign funnel metrics (answer/reach rate, conversion to deposit).
• Experience with CRM / campaign tools (Smartico, Optimove, Customer.io, or similar).
• Ability to turn analytics into recommendations and defend them to a client.
• English — confident working level.

Nice to Have

• Experience in a performance call center or with voice/SMS channels.
• Experience working alongside sales on account growth.

What we offer

• Fully remote work format and flexible working hours.
• Competitive salary pegged to USD + performance bonuses.
• 24 days of paid vacation (sick leave, national, religious, and company holidays).
• A friendly communication culture and transparent processes.
• Dynamic work environment.
• Opportunities for professional development and career growth.
• No micromanagement — just trust, ownership, and freedom to experiment.

EverHelp is a team of professionals, that’s developing outsourcing support services for plenty of products all over the world at a dynamic tempo. The project launched in 2021, and last year we experienced a yearly growth rate of +82%. Since February 2022, we’ve managed to preserve all our workplaces and, most importantly, we continue to strengthen our team while maintaining an employee satisfaction rate of over 90%.

In 2026, EverHelp received 9 international workplace and employer awards. The company ranked #1 in the Top 30 Inspiring Workplaces in Europe, was named the #1 employer among European companies with 500–4,999 employees, and earned Best-in-Class recognition across 6 categories: Culture & Purpose, Leadership, Inclusion & Belonging, Wellbeing, Employee Voice, and Employee Experience. EverHelp was also named one of the 28 Best Places to Work by Business Intelligence Group — a global award recognizing companies with strong workplace cultures and outstanding employee experience.

Our statement:

• We’re against war and unjustified aggression,
• We evacuated all the teammates and their families from the frontline, helped them find a new place to live and provided financial support,
• We provided the team with charging stations,
• We continue to work together for the future of Ukraine.

EverHelp is building a product portfolio from scratch: Evly (AI customer service), analytics, a voice agent, and Zendesk Migration. We’re looking for a Full-stack Engineer (Agentic Systems) to own end-to-end product development — from the client-facing web layer to backend business logic, including agentic engineering, highload system design, and shipping AI features against real business and product requirements. This is an engineer who turns a product idea into a working, scalable feature by closing the whole stack independently, not just one layer of it.

Your future responsibilities include:

• End-to-end feature development: frontend, backend business logic, APIs, and integrations — owning the full stack independently
• System design for highload systems: scalability, queues, caching, and resilience under load
• Agentic engineering: AI agents, Copilot-style flows, and LLM orchestration (tool/function calling, prompt engineering, memory, fallback logic)
• RAG systems: embeddings, vector search, and building/optimizing retrieval pipelines
• Working with pre-deployed self-hosted models and integrating LLMs into the product
• AI security: data protection, prompt injection defense, access control, handling sensitive data
• LLM evaluation & optimization: quality metrics, observability (logging, tracing, latency/cost), and reducing costs without sacrificing quality
• Data work: database modeling, SQL and MongoDB (document/NoSQL structures), and preparing data for analytics and AI flows
• Independently deploying features on top of existing infrastructure (via pre-built Helm chart templates)
• Code review, test coverage, and maintaining the technical health of the codebase
• Maintaining up-to-date technical documentation: architecture, API contracts, AI flows

• Clarifying requirements, estimating and decomposing tasks, and raising technical risks early (in collaboration with design)
  
  Needed experience & skills:

  Frontend:

• React + Next.js, TypeScript/JavaScript, Vite, TailwindCSS — able to build client applications independently

• Understanding of UI state, API integration, and basic attention to UX and interface performance
   

  Backend:

• Node.js and Python — business logic, REST APIs, WebSockets, integrations
• Database design and hands-on work with PostgreSQL and MongoDB; confident SQL
• Queues and caching: RabbitMQ, Redis; object storage (S3)

• Containerization with Docker; deploying services via existing Helm chart templates
   

  AI / LLM Engineering:

• Agentic engineering: building AI agents with LangChain, LangGraph, AutoGen, CrewAI, or similar
• Tool/function calling, prompt engineering, memory and fallback logic
• RAG systems: embeddings & vector search; vector DBs such as Qdrant, pgvector, or Pinecone
• Experience working with pre-deployed self-hosted models
• LLM evaluation & optimization: quality, latency, and cost metrics; AI solution observability

• Understanding of AI security: prompt injection, handling sensitive data
   

  General:

• Systems design and understanding of highload architecture (scalability, resilience under load)
• Observability: instrumenting services with logs and metrics; familiarity with the Grafana/Loki/Prometheus stack
• Code under test: unit, integration, and load testing; code review discipline; clean, documented codebase
• English B2+ (technical documentation, external integrations, written communication)

• 2–3 years of experience as a Full-stack developer, plus at least 1 year in AI engineering
   

  Working with EverHelp is about:

• Opportunity to join the Ukrainian company and help the Ukrainian economy,
• 20+ vacation days and unlimited sick leaves, corporate doctor & psychologist,
• Medical insurance and +10 Healthcare leaves for mental & physical recovery,
• Systematic learning & development inside a team and on an individual level: compensation for professional webinars, courses, conferences, etc.,
• Ability to work from Lviv & Kyiv offices with free breakfasts and lunches, or fully remotely,
• Team of professionals ready for knowledge sharing, internal professional communities, team buildings,
• Corporate discounts for gym membership and other services like medical services, language schools, etc.

Who Are We?

Welltech is a global wellness technology company with Ukrainian roots. Our mission is to build and scale wellness apps globally through state-of-the-art, tech-driven performance marketing.

We are one of the most established players in the wellness app space, and we are accelerating. Over 25.5 million people across the world use our apps — Muscle Booster, Yoga-Go, and WalkFit — to build healthier habits, move more, and feel better every day. Every subscription represents a real person making a real change in their life, and we take that seriously.

With 500+ people across hubs in Cyprus, Ukraine, Poland, Spain, and the UK, we combine the scale of a market leader and the drive of a team that's just getting

What We're Looking For

We are looking for a Senior Marketing Analyst focused on measurement and signal engineering — ensuring Meta, Google Ads, TikTok, and other ad platforms receive accurate, timely, and high-quality conversion signals. You will work closely with Marketing, Product, Data Engineering, and ad platform representatives to improve campaign measurement and optimization.

Main Responsibilities

• Marketing & signal optimization — Partner with Marketing and ad network representatives to improve conversion signals, assess product and ad platform changes, and investigate signal-related performance drops.
• Ad network S2S integrations — Design and maintain conversion pipelines for ad networks with support from Data Engineering team. Ensure timely, deduplicated, and high-quality signal delivery.
• New ad platform onboarding — Set up and launch integrations with new ad platforms, covering conversion signal delivery and reporting data feeds for Marketing
• Pixel & GTM management — Manage GTM releases across multiple web properties and implement pixels and conversion events for ad networks.
• Signal quality & monitoring — Monitor Meta EMQ, pixel and CAPI diagnostics, deduplication, Google Ads conversion diagnostics, Enhanced Conversions, click ID capture, and offline conversion uploads. Build monitoring and alerts for errors, latency, coverage, and discrepancies.
• UTM & Attribution — Maintain UTM parameters and campaign naming conventions and ensure correct attribution.
• Reporting & analytics — Build ad-hoc and monitoring reports for conversion values, bidding performance, signal delivery, and funnel metrics. Define Signal Engineering metrics.

• Marketing datasets — Build and maintain custom marketing datasets

   

Required Skills and Experience

• 3+ years of experience in marketing analytics, digital measurement, ad tech, or tracking
• Advanced SQL (window functions, CTEs, performance-aware querying, data quality checks) and experience working with large data warehouses
• Hands-on experience with Google Tag Manager
• Experience with visualization tools (Tableau, Looker, or similar) — Tableau is our primary BI tool
• Proven experience partnering with performance marketing / UA stakeholders and communicating insights to non-technical audiences
• Understanding of browser-side and server-side tracking
• Hands-on knowledge of at least one ad platform, including campaign types, bidding strategies, and conversion setup
• Solid understanding of marketing metrics
• Understanding of GDPR-compliant tracking approaches

• Ability to communicate effectively in English (written + spoken)

   

Nice to Have

• Understanding of mobile attribution & tracking, including SKAdNetwork (SKAN), and experience with an MMP such as AppsFlyer, Adjust, or similar.
• Experience with incrementality and holdout testing (e.g. Meta Conversion Lift, Google Ads Conversion Lift, geo-experiments) to validate the impact of signal changes on campaign performance
• Experience with Meta Conversions API (CAPI) or Google Data Manager API.
• Experience with LTV modeling and calculations, preferably for subscription-based products.

• Experience with Airflow, dbt, or similar data tools.

   

Candidate journey

⭕️ Recruiter call --> ⭕️ Meet a team member --> ⭕️ Meet the Leadership team --> ⭕️ Skills assessment

Locations: Ukraine; Armenia; Bulgaria; Cyprus; Estonia; Hungary; Latvia; Lithuania; Romania

Responsibilities

• Developing functionality for personal accounts for webmasters and administrators.  
• Creation of a system for receiving and processing postback notifications from partners. 
• Integration of third-party services (SMS gateways, anti-fraud, Geo-IP).  
• Code coverage with tests (PHPUnit). 

Requirements

• At least 3 years of experience in commercial development on Symfony. 
• Ability to write clean, maintainable code (SOLID, DRY).  
• Experience with PostgreSQL (complex joins, indexes). 
• Experience with queues (Redis/RabbitMQ). 
• Attention to detail.  

🔹 100% remote | 🌎 Global team | ⏳ Full-time

NineTwoThree AI Studio is a premier product design, engineering, and marketing firm specializing in custom AI, web, and mobile applications for established brands and funded startups. We are based in Massachusetts but with an American and European staff and a strong, collaborative remote culture.

We’re a team that loves doing good work with great people. Our relatively small size keeps us fast and nimble. The wealth of knowledge, experience and talent paired with proven recipes and best practices allows us to find opportunities to help new products succeed.

With a portfolio of over 150 launched products over 13 years, NineTwoThree has garnered recognition as a top AI agency in the U.S., earning accolades such as inclusion in the Inc. 5000 list for four consecutive years and being named among the top 50 AI firms alongside industry leaders like Microsoft, NVIDIA, and IBM. We’ve built AI and ML tech for big brands like Consumer Reports, FanDuel, and Nara, as well as startups in legal tech, logistics, education, and more. 

Role Overview

As a Senior ML Engineer at NineTwoThree AI Studio, you will sit at the intersection of production-grade software engineering, advanced natural language processing, and client delivery. We build custom, high-impact AI systems for brands and startups across diverse industries (such as healthcare, logistics, and fintech).

Instead of siloed academic research, this role demands a product-minded builder. You will design, optimize, and deploy robust LLM applications, custom predictive analytics, and agentic workflows directly into our clients' software ecosystems, taking absolute ownership of features from prototype to production.

Technology Stack

• Core Frameworks & Arch: Transformer models, modern LLM APIs (Anthropic Claude, OpenAI, AWS Bedrock, etc.), Open-Source LLMs.
• Orchestration & Agentic Design: Experience designing LLM workflows, agentic systems, or retrieval pipelines using frameworks such as Langchain, LangGraph, LlamaIndex, or equivalent approaches.
• Data & Search: Vector databases (Pinecone, pgvector, Milvus, Qdrant, etc.), SQL, and data engineering pipelines.
• Traditional ML: Supervised and Unsupervised learning (Classification, Regression, Anomaly Detection).
• Cloud & Infrastructure: AWS (Lambda, SageMaker, Bedrock, EC2) and modern DevOps/retraining pipelines.
• Languages: Production-grade Python.

Responsibilities

• Architect & Build AI Features: Design and implement robust classical ML and generative AI solutions, striking the right balance between autonomous agentic architectures and deterministic pipelines.
• Evaluate: Design and maintain evaluation frameworks to measure AI quality, reliability, safety, and business impact before and after deployment.
• Integrate & Deploy: Partner closely with full-stack developers and DevOps to seamlessly integrate AI capabilities into client web and mobile applications using serverless architecture (e.g., AWS Lambda) or API endpoints.
• Optimize for Production: Refine prompts, system instructions, and chunking strategies to balance accuracy, latency, token consumption, and data privacy.
• Traditional Predictive Analytics: Clean and process unstructured or historical client data to train/fine-tune custom algorithms for specific business problems (such as forecasting, classification, or anomaly detection).
• Collaborate & Communicate: Actively participate in client discovery sessions, translate ambiguous business requirements into viable technical scopes, and demo prototypes directly to stakeholder teams.
• Maintain Engineering Excellence: Engage in constructive code reviews, implement rigorous validation patterns to test AI outputs, and contribute templates or runbooks to our internal AI knowledge base.

Technical Experience

• Proven Track Record: 3+ years of experience engineering software with a strong focus on machine learning and natural language processing.
• LLM & Generative AI Mastery: In-depth understanding of modern LLM architectures, context window mechanics, semantic search techniques, and the limitations of generative systems. Ability to identify when a deterministic solution is preferable to an LLM or agent-based solution.
• Production experience: Experience building and operating production AI systems, including monitoring, evaluation, debugging, and iterative improvement.
• Evaluation experience: Understanding of evaluation methodologies for LLM-based systems, including retrieval quality, hallucination detection, and task-specific performance measurement. Ability to reason about tradeoffs between quality, latency, cost, reliability, and engineering complexity.
• Python & SQL Proficiency: Exceptional Python coding skills and the ability to query, clean, and structure data efficiently.
• Cloud Infrastructure: Hands-on experience deploying ML or API services within cloud ecosystems, preferably AWS.
• Ownership: Comfortable taking ownership of ambiguous problems from initial discovery through production deployment and ongoing support.

Product & Team Capabilities

• Ambiguity to Execution: Ability to drop into a completely new industry vertical, understand its data constraints, and spin up a working proof-of-concept within a few weeks.
• The "Product Engineer" Mindset: Passion for seeing things ship and understanding why something is being built from a business value standpoint, not just what is being built.
• Communication: Fluent written and spoken English. Comfortable interacting with client stakeholders and breaking down technical workflows into clear concepts.
• Adaptability: Eagerness to experiment with and evaluate fast-emerging AI development tools, models, and frameworks.
• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent practical experience).

What We Offer

• Annual paid vacation: 20 days off per year during the first 3 years, increasing to 25 days in later years
• Paid sick leave, 10 national holidays, and 2 company days off
• Well-being budget
• Global health coverage 
• Maternity/paternity leave
• Reimbursement of expenses for professional development courses and certifications (up to 100% in agreement with Manager)
• Strong positive engineering culture, a tightly-knit team of professionals with a good sense of humor

What's The Process

We value your time and ours and make the process fast and easy. Our interview process takes the following steps: a short interview with the HR, 2nd technical interview with ML Engineer and CTO (optional), 3rd live-coding interview, Offer.

We are looking for a skilled QA Automation Engineer to develop and maintain automated testing solutions and ensure high product quality.
You will work closely with developers, DevOps, and product teams to improve test coverage, optimize testing processes, and support stable releases.
Our product is a mobile application in the EV (electric vehicles & charging infrastructure) domain, so your work will directly contribute to an innovative and rapidly growing field.

Responsibilities:
• Develop and maintain automated API(Rest Assured) tests;
• Gradually writing tests in Playwright and for mobile native tests;
• Support and improve existing AQA processes;
• Contribute to test strategy (automation, regression);
• Integrate automated tests into CI/CD pipelines;
• Ensure coverage of critical product functionality;
• Analyze test results, identify defects, and support root cause analysis;

Requirements:
• 2+ years of Automation QA experience;
• Strong hands-on experience in test automation Java / Kotlin;
• Solid experience in test planning and test design;
• Knowledge with API testing tools (Postman, REST Assured);
• Basic debugging & log analysis skills;
• Meticulous attention to even the smallest details;
• English Intermediate or higher;

Will be a plus:
• Able to write SQL joins;
• A basic level of understanding of Jenkins Pipelines scripts;
• Be familiar with basic AWS features (lambda/log queries/SQS);
• Docker;
• Performance testing;
• Kotlin;
• Mobile test automation;

What We Offer:
• An opportunity to influence the quality of an innovative product and processes within the company.
• A friendly team of professionals who value growth and collaboration.
• Competitive salary.
• Flexible work schedule with remote options.
• Opportunities for learning, growth, and professional development.

Level: Middle Engagement: Long-term contract Location: Europe (EU / EEA / UK), remote Working hours:EU business hours, shifted 2–3 hours later to ensure daily overlap with US West Coast (PST/PDT) mornings

ABOUT THE CLIENT

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

ABOUT THE ROLE

We are looking for a Middle-level Software Engineer to work on the core query engine of a large-scale distributed data platform. You will develop features across query planning, optimization, and execution, contribute to performance-critical components, and help evolve the platform's ability to process massive analytical workloads across heterogeneous data sources.

This is a systems-level, backend engineering role focused on distributed data processing internals — not application development or CRUD services.

RESPONSIBILITIES

• Develop and maintain features across the query engine — planning, optimization, execution, and data access layers.
• Write high-quality, performance-conscious code in Java and/or C++.
• Work with SQL semantics, query plans, and execution operators over large-scale distributed data.
• Integrate with columnar formats, open table formats, and connectivity drivers used across the platform.
• Contribute to CI/CD pipelines and automated testing — participate in build, test, and release workflows in Jenkins.
• Deploy and validate work in Kubernetes (GKE / EKS / AKS) across GCP, AWS, and Azure using Docker.
• Debug complex issues spanning query planning, distributed execution, memory management, and I/O.
• Collaborate closely with US-based engineering teams on design reviews, code reviews, and technical decisions.

REQUIRED QUALIFICATIONS

• Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
• Programming: Strong proficiency in Java or C++, with solid OOP and software design fundamentals. Candidates comfortable with both are especially valued.
• SQL & Data: Strong SQL skills and solid understanding of relational and analytical data systems, including query execution concepts.
• Data processing systems experience: Hands-on experience with data processing systems — query engines, distributed databases, ETL/ELT frameworks, or analytical platforms.
• Engineering experience: 3+ years in backend/systems software engineering.
• CI/CD & DevOps basics: Practical experience with Jenkins pipelines and modern development workflows.
• Containers: Working knowledge of Docker and basic Kubernetes (running workloads, debugging pods, kubectl fluency).
• Cloud: Comfortable operating in at least one major cloud (GCP, AWS, or Azure).
• Version Control: Confident with Git / GitHub workflows.
• English: Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team.
• Availability: Able to work EU hours with a 2–3 hour shift toward US West Coast time to ensure daily overlap with the client team.

DESIRED SKILLS

• Experience with Apache Arrow (columnar in-memory format).
• Familiarity with Apache Calcite (SQL parsing, planning, optimization framework).
• Exposure to Gandiva or LLVM-based expression compilation.
• Experience with open table formats — Apache Iceberg, Delta Lake, or Hudi.
• Familiarity with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines(e.g., Presto, Trino, or similar).
• Understanding of query planning, optimization, and execution internals.
• Experience with data connectivity drivers: JDBC, ODBC, Arrow Flight.
• Kubernetes on managed services (GKE / EKS / AKS) and multi-cloud exposure.
• IaC tools such as Terraform.
• Experience with performance profiling and optimization of latency-sensitive systems.
• Please note: We can consider only candidates currently residing in the EU, EEA, or the UK.

Level: Senior Engagement: Long-term contract Location: Europe (EU / EEA / UK), remote Working hours:EU business hours, shifted 2–3 hours later to ensure daily overlap with US West Coast (PST/PDT) mornings

ABOUT THE CLIENT

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

ABOUT THE ROLE

We are looking for a Senior Software Engineer to design, build, and own significant components of the core query engine of a large-scale distributed data platform. You will lead work across query planning, optimization, and execution — driving architectural decisions, mentoring middle engineers, and pushing the platform's performance and scalability boundaries across all major clouds.

This is a systems-level, backend engineering role focused on distributed data processing internals — not application development or CRUD services.

RESPONSIBILITIES

• Architect, design, and implement significant components of the query engine — planner, optimizer, execution operators, memory management, and data access layers.
• Write and review high-quality, performance-critical code in Java and/or C++.
• Own end-to-end delivery of features from technical design through production rollout.
• Drive performance optimization work — profiling, benchmarking, and eliminating bottlenecks in latency- and throughput-sensitive paths.
• Integrate deeply with columnar formats, open table formats, and connectivity drivers.
• Mentor middle engineers, lead code reviews, and set technical standards for the team.
• Contribute to CI/CD architecture and quality processes across Jenkins, containerization, and multi-cloud deployment (GCP, AWS, Azure via Kubernetes / Docker).
• Debug complex, cross-layer issues spanning query planning, distributed execution, memory management, and I/O.
• Partner with US-based engineering leads on design reviews, architectural decisions, and roadmap execution.

REQUIRED QUALIFICATIONS

• Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
• Programming: Strong proficiency in Java or C++, with deep understanding of OOP, systems design, memory management, and concurrency. Candidates strong in both are especially valued.
• SQL & Data: Advanced SQL skills and strong understanding of query execution internals — planning, optimization, and operator implementation.
• Data processing systems experience: Demonstrated experience building or extending data processing systems — query engines, distributed databases, ETL/ELT frameworks, or analytical platforms.
• Engineering experience: 5+ years in backend/systems software engineering, with a track record of owning significant components.
• CI/CD & DevOps: Solid experience with Jenkins and modern engineering workflows.
• Containers & Orchestration: Strong working knowledge of Docker and Kubernetes.
• Cloud: Hands-on experience with at least one major cloud (GCP, AWS, or Azure); exposure to more than one is a strong plus.
• Version Control: Confident with Git / GitHub workflows and rigorous code review practices.
• English: Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team.
• Availability: Able to work EU hours with a 2–3 hour shift toward US West Coast time to ensure daily overlap with the client team.
• Leadership: Prior experience mentoring engineers, leading technical designs, or owning components end-to-end.

DESIRED SKILLS

• Deep experience with Apache Arrow (columnar in-memory format).
• Hands-on experience with Apache Calcite (SQL parsing, planning, optimization framework).
• Experience with Gandiva or LLVM-based expression compilation and code generation.
• Experience with open table formats — Apache Iceberg, Delta Lake, or Hudi.
• Deep familiarity with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines (e.g., Presto, Trino, or similar).
• Deep understanding of query planning, optimization (cost-based, rule-based), and execution internals.
• Experience with data connectivity drivers: JDBC, ODBC, Arrow Flight.
• Kubernetes on managed services (GKE / EKS / AKS) and multi-cloud exposure.
• IaC tools such as Terraform.
• Track record of performance optimization at the systems level — profiling, vectorization, cache/memory-conscious design.
• Prior experience contributing to open-source data infrastructure projects.
• Please note: We can consider only candidates currently residing in the EU, EEA, or the UK

Level: Middle Engagement: Long-term contract Location: Europe (EU / EEA / UK), remote Working hours:EU business hours, shifted 2–3 hours later to ensure daily overlap with US West Coast (PST/PDT) mornings

ABOUT THE CLIENT

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

ABOUT THE ROLE

We are looking for a Middle-level SDET to design and maintain automated tests for a large-scale distributed data platform. You will validate the correctness, performance, and reliability of the query engine, connectivity layer, and backend services across all major clouds.

This is a data-heavy, backend-focused role. We are not looking for web/UI QA engineers — the work centers on validating distributed query execution, data correctness at scale, connectivity drivers, and backend microservices.

RESPONSIBILITIES

• Develop and maintain automated tests in Python / pytest for backend services, REST APIs, and distributed data components.
• Write end-to-end, integration, and regression tests covering SQL query execution, data correctness, and platform APIs.
• Support performance and load testing with JMeter, including workloads over JDBC / ODBC / Arrow Flightdrivers.
• Validate data-intensive scenarios — query plans, result correctness across data sources, metadata consistency, and behavior under concurrency.
• Contribute to CI/CD test pipelines in Jenkins — configure, maintain, and troubleshoot.
• Provision and manage test environments in Kubernetes (GKE / EKS / AKS) across GCP, AWS, and Azure using Docker.
• Investigate failures across the stack — query engine, distributed services, drivers, infrastructure — and drive them to resolution with engineering.
• Collaborate with US-based developers on testability and quality gates.

REQUIRED QUALIFICATIONS

• Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
• Programming: Strong proficiency in Python, including pytest, with a solid grasp of OOP and software design principles.
• SQL & Data: Strong SQL skills and solid understanding of how relational and analytical data systems work.
• Data-intensive testing experience: Hands-on experience testing data-intensive systems — query engines, ETL/ELT pipelines, streaming platforms, or analytical databases. Candidates with only web/UI QA backgrounds are not a fit.
• Testing experience: 3+ years in backend/system test automation or SDET roles.
• CI/CD & DevOps basics: Practical experience with Jenkins pipelines and deploying/maintaining test environments.
• Containers: Working knowledge of Docker and basic Kubernetes (running workloads, debugging pods, kubectl fluency).
• Cloud: Comfortable operating in at least one major cloud (GCP, AWS, or Azure).
• Version Control: Confident with Git / GitHub workflows.
• English: Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team.
• Availability: Able to work EU hours with a 2–3 hour shift toward US West Coast time to ensure daily overlap with the client team.

DESIRED SKILLS

• Experience testing REST APIs and backend microservices at scale.
• Familiarity with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines(e.g., Presto, Trino, or similar).
• Understanding of modern data lakehouse concepts, open table formats (Apache Iceberg), and data warehousing.
• Experience with data connectivity drivers: JDBC, ODBC, Arrow Flight.
• Performance testing with JMeter or comparable load-testing tools.
• Kubernetes on managed services (GKE / EKS / AKS) and multi-cloud exposure.
• IaC tools such as Terraform.
• Understanding of query plan generation, query acceleration / materializations, and metadata integrity in distributed data systems.
• Please note: We can consider only candidates currently residing in the EU, EEA, or the UK

Level: Senior Engagement: Long-term contract Location: Europe (EU / EEA / UK), remote Working hours:EU business hours, shifted 2–3 hours later to ensure daily overlap with US West Coast (PST/PDT) mornings

ABOUT THE CLIENT

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

ABOUT THE ROLE

We are looking for a Senior SDET to lead the design of automated test frameworks and testing strategy for a large-scale distributed data platform. You will own the quality of the query engine, connectivity layer, and backend services end-to-end — from framework architecture through CI/CD infrastructure across all major clouds — and mentor middle engineers on the team.

This is a data-heavy, backend-focused role. We are not looking for web/UI QA engineers — the work centers on validating distributed query execution, data correctness at scale, connectivity drivers, and backend microservices.

RESPONSIBILITIES

• Architect, design, and evolve automated test frameworks in Python / pytest for backend services, REST APIs, and distributed data components.
• Define testing strategy for new features and platform components — coverage, risk assessment, and quality gates.
• Own end-to-end, integration, performance, and regression testing covering SQL query execution, data correctness at scale, and platform APIs.
• Lead performance and load testing efforts with JMeter, including workloads over JDBC / ODBC / Arrow Flightdrivers.
• Design and validate large-scale data testing scenarios — query plans, result correctness across heterogeneous data sources, metadata consistency, and behavior under high concurrency.
• Own CI/CD test pipelines in Jenkins — architect, maintain, and continuously improve.
• Provision and manage test environments in Kubernetes (GKE / EKS / AKS) across GCP, AWS, and Azure using Docker; drive automation and reproducibility.
• Investigate complex, cross-layer failures and drive root-cause analysis with engineering.
• Mentor middle SDETs, review test designs, and set quality standards across the team.
• Partner with US-based development leads on shift-left practices, testability, and release readiness.

REQUIRED QUALIFICATIONS

• Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
• Programming: Strong proficiency in Python, including pytest, with deep understanding of OOP, software design principles, and test framework architecture.
• SQL & Data: Advanced SQL skills and strong understanding of relational and analytical data systems, including query execution internals.
• Data-intensive testing experience: Demonstrated experience testing data-intensive systems — query engines, ETL/ELT pipelines, streaming platforms, or analytical databases. Candidates with only web/UI QA backgrounds are not a fit.
• Testing experience: 5+ years in backend/system test automation, with demonstrated ownership of test strategy and infrastructure.
• CI/CD & DevOps: Solid experience architecting and maintaining Jenkins pipelines and test environments.
• Containers & Orchestration: Strong working knowledge of Docker and Kubernetes (running workloads, debugging pods, deploying complex environments).
• Cloud: Hands-on experience with at least one major cloud (GCP, AWS, or Azure); exposure to more than one is a strong plus.
• Version Control: Confident with Git / GitHub workflows and code review practices.
• English: Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team.
• Availability: Able to work EU hours with a 2–3 hour shift toward US West Coast time to ensure daily overlap with the client team.
• Leadership: Prior experience mentoring engineers, defining test strategy, or leading a QA/SDET function.

DESIRED SKILLS

• Deep experience testing REST APIs and backend microservices at scale.
• Hands-on with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines(e.g., Presto, Trino, or similar).
• Strong understanding of modern data lakehouse concepts, open table formats (Apache Iceberg), and data warehousing.
• Experience with data connectivity drivers: JDBC, ODBC, Arrow Flight.
• Performance testing with JMeter or comparable load-testing tools at production scale.
• Kubernetes on managed services (GKE / EKS / AKS) and multi-cloud exposure.
• IaC tools such as Terraform.
• Deep understanding of query plan generation, query acceleration / materializations, and metadata integrity in distributed data systems.
• Prior experience leading a QA/SDET function in a data-platform or database engineering environment.
• Please note: We can consider only candidates currently residing in the EU, EEA, or the UK.

Location & English requirements:
This is a fully remote position within the European Union, with priority given to candidates based in Poland. Other EU locations may also be considered.
Strong English (Upper-Intermediate/C1 or higher) is required - all calls, discussions, and documentation happen fully in English, and you'll be expected to actively participate in technical conversations: asking questions, raising concerns, proposing alternatives. If your English is below this level, you likely won't feel comfortable in this role's day-to-day communication - so please keep that in mind before applying.

Who we're looking for:
This is not a "heads-down, ticket-by-ticket" role. Our client's team is a well-established international group of up to 50 people, and they're explicit about what doesn't work for them: people who stay quiet in discussions, who wait to be told exactly what to do, or who seem to be splitting focus with other projects.

What they want instead:

• Someone who speaks up - asks clarifying questions, flags risks, and isn't afraid to challenge an approach if they see a better one
• Someone who treats this as their project, not a rotation - full commitment, no split attention across other engagements
• Someone comfortable operating with a good degree of autonomy, while staying closely aligned with the team
• Someone who brings ideas to code reviews and architecture discussions, not just implementations

If that sounds like you, and your English lets you do it comfortably - read on.

Required skills:

• Commercial experience with PHP and JavaScript, Middle+/Senior level
• Experience with modern JS frameworks (Vue.js preferred)
• Strong understanding of OOP, interfaces, and clean code principles
• Experience with PSR-4 standards and service-oriented architecture (SOA)
• Experience with unit testing (PHPUnit or similar)
• Upper-Intermediate+ English, spoken and written
• Demonstrated ability to communicate proactively: asking questions, giving feedback, contributing opinions in team settings

Will be a plus:

Experience with MediaWiki

Experience with enterprise web platforms or CMS

Prior experience working in distributed international teams (not local outsourcing setups)

Project description:

Our client is a German product company focused on enterprise wiki solutions based on MediaWiki, used by companies worldwide for internal documentation, collaboration, and knowledge management.

This is a long-term product, not a short-term outsourcing project - the team has been building and refining this platform for years, with a strong focus on code quality, usability, and sustainable architecture. The team (Germany + EU, up to 50 people) genuinely values open communication and healthy work-life balance - but that culture depends on people who participate in it, not just execute tasks silently.

Responsibilities:

• Develop and maintain customer-specific features for BlueSpice
• Continuously improve and modernize the product
• Support the team with bug fixing and error analysis
• Write clean, maintainable, and testable code
• Actively participate in code reviews and technical discussions — bring your perspective, don't just approve
• Work closely and communicatively with the German product team
• Technology stack: PHP, JavaScript, Vue.js, MediaWiki, MySQL, Elasticsearch, PHPUnit, SOA, PSR-4

We offer:

• Long-term, stable product project - full commitment expected, no parallel projects
• Direct collaboration with the German team
• Predictable workload and healthy work environment
• Interesting technical challenges and a mature, well-maintained codebase
• Competitive compensation
• Paid vacation and sick leave
• Optional business trips to Germany
• Professional growth within a strong product team

Platform Focus: Magento 2 (Adobe Commerce)

Location: Fully Remote

Employment Type: B2B Contract

About the Role

We are seeking an experienced and proactive  eCommerce Project Manager to lead complex e-commerce projects on the Magento 2 platform. In this role, you will act as a bridge between technical teams and clients, taking full ownership of project delivery, timeline execution, and budget management.

If you thrive in an agency environment, love structured communication, and have hands-on experience delivering Magento-based solutions, we’d love to have you on board!

Requirements & Must-Haves

• Senior-level IT Project Management experience: Proven track record in managing web development, maintenance, and support for e-commerce projects in an agency environment.

• Strong Magento 2 Expertise: In-depth knowledge of the Magento 2 platform, including managing complex development workflows, integrations, and releases.

   

• Languages:
  • English: Minimum B2 (Upper-Intermediate) / C1 for daily client and team communication.

  • Polish: Minimum B2 (Upper-Intermediate) / C2 for effective work with Polish-speaking stakeholders/clients.

    
     

• Client & Scope Management: Experience gathering functional requirements, scoping tasks, gathering estimates, defining budgets, and managing client expectations proactively.
• QA / Quality Control: Solid understanding of QA processes, testing methodologies, and feature validation before production releases.
• Tooling: Proficiency in modern project management and collaboration tools (Jira, Confluence, Slack, Google Workspace, Git/GitLab, AI tools).
• Self-Management: Strong leadership skills, ability to prioritize tasks, mitigate risks, and manage multidisciplinary teams (Developers, QA, DevOps, Designers).
   

Nice to Have (Bonus)

• Experience with other e-commerce platforms (Shopify, BigCommerce, Sylius, Hyvä Theme).
• Familiarity with AI tools to enhance daily PM workflows and productivity.
• Experience with test automation or QA management platforms (Testomat, TestMonitor, etc.).

• Technical background or hands-on experience in software development / QA.

  
   

Key Responsibilities

• Project Ownership: Drive the execution of Magento 2 projects, overseeing timelines, deliverables, scope, and budgets.
• Client Advisory: Serve as the main point of contact for clients — providing daily updates, risk assessments, and strategic guidance on their e-commerce vision.
• Team Leadership: Manage cross-functional project teams (Backend & Frontend Developers, QA Engineers, DevOps, UI/UX Designers).
• Resource & Capacity Planning: Collaborate with Delivery Directors and Resource Managers to maintain optimal team staffing and high quality standards.

• Documentation & Process: Maintain Jira boards, backlog prioritization, change requests, and technical project documentation.

   

What We Offer

• B2B Contract: Long-term cooperation with flexible, autonomous work organization.
• 100% Remote Work: Complete location freedom.
• International Environment: Collaboration with experienced, supportive, and skilled e-commerce professionals.
• Growth & Certification: Support for professional training, courses, and certifications in the Magento / Adobe ecosystem.

• Flat Structure: Direct communication with key decision-makers without unnecessary bureaucracy.

   

Recruitment Process

1. HR Interview (Online): Introduction call to discuss your background, experience, and expectations.
2. Technical & PM Interview (Online): In-depth discussion with our Delivery Lead covering Magento domain knowledge, project management scenarios, and client communication skills.
3. Offer & Feedback: Swift final decision and feedback.

Hello, future colleague!

We create pixel-perfect slot games powered by our own engine. We are reinventing the gambling experience by delivering unique, high-quality games to the market.

We are a team of professionals who value quality, ownership, transparency, and collaboration. We believe in a results-driven environment where everyone has the space to grow, contribute, and make an impact.

We are currently looking for a Senior Back-End Developer to join our team.
As a Senior Backend Developer, you will drive backend architecture and support the growth of the backend team.
If you are passionate about building scalable backend systems for gaming products and enjoy solving complex technical challenges, we would love to meet you.

Requirements:
Must have:

• Strong experience with Java.
• Experience with Scala + Akka.
• Experience building high-load backend systems.
• Docker experience.
• Experience with CI/CD pipelines.
• Experience working in the iGaming industry.
• Understanding of slot games architecture.

Would be helpful: 

• Experience with SBT.
• Experience working with distributed systems.
• English: B1+.

Key Responsibilities:

• Design and maintain scalable and reliable backend architecture.
• Write, review, and maintain clean, efficient, and maintainable code.
• Collaborate closely with game developers, frontend engineers, and product teams.
• Participate in architecture discussions and technical decision-making.
• Ensure performance, stability, and scalability of backend services.
• Contribute to improving development processes and engineering standards.
• Estimate tasks and ensure timely delivery of backend features.

We Offer:

• Opportunity to work remotely.
• Flexible working hours - you choose when to start your day.
• Career growth within a team of iGaming professionals.
• Supportive, transparent team culture with minimal bureaucracy.
• Time-off policy that fits real life (paid vacation, sick leave, public holiday).
• Benefits for employees.