Вакансии

Руководство командой из 5–7 разработчиков. Проектирование и развитие исполнительного контура на базе Temporal и AWX/AAP.

опыт работы с Power BI от 3-х лет; опыт работы с SQL & DWH: сложные запросы, оптимизация производительности PostgreSQL/MS SQL;

разрабатывать новый функционал на платформе 1С; дорабатывать типовой функционал;

Location: United Kingdom; Germany; Poland; South Africa; United Arab Emirates; Egypt About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Rust Backend Architect to contribute to an AI training project focused on production-grade Rust development, backend architecture, and complex systems engineering. You will solve and validate technical problems involving APIs, persistence, asynchronous processing, concurrency, performance, and service reliability. You will also build reproducible implementation and testing environments, assess architectural decisions, and ensure backend solutions meet production-quality standards. The ideal candidate combines strong hands-on Rust programming skills with proven experience designing, debugging, and evaluating reliable backend systems. SENIORITY: Senior / Architect-Level Engineer LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide START DATE: Immediate availability preferred Key Responsibilities Solve and validate Rust backend engineering problems involving APIs, service behavior, data persistence, concurrency, performance, and reliability. Translate functional requirements, performance targets, and failure-handling expectations into reproducible implementation and testing workflows. Design, review, and assess backend architectures for correctness, scalability, maintainability, and production readiness. Prepare Rust crate workspaces, configuration files, test fixtures, dependency services, databases, and containerized development environments. Develop and validate test cases that assess expected behavior, edge cases, failure scenarios, and system reliability. Debug complex backend issues and identify weaknesses in implementation, architecture, or system design. Evaluate asynchronous and concurrent systems, including potential race conditions, resource contention, and performance bottlenecks. Produce clear technical explanations and implementation artifacts that meet project specifications and support AI training and evaluation. Maintain consistent output quality while meeting weekly submission requirements and project deadlines. Requirements Strong hands-on proficiency in Rust, demonstrated through substantial professional, research, or open-source software development. Strong understanding of backend service design, APIs, data persistence, and production software architecture. Practical knowledge of asynchronous programming, concurrency, error handling, and performance optimization in Rust. Experience analyzing and resolving complex backend correctness, scalability, reliability, or performance problems. Ability to translate technical requirements into working implementations, reproducible tests, and verifiable outcomes. Experience with Rust workspaces, dependency management, test environments, and backend development tooling. Strong debugging, analytical reasoning, and technical problem-solving skills. Clear written communication and the ability to explain architectural decisions and technical findings. Availability to contribute approximately 15 hours per week and meet the project's minimum weekly task requirements. Ability to begin work within 24–48 hours after completing onboarding.

Location: Brazil; Argentina; Colombia; Chile; Peru; Uruguay About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Rust Backend Architect to contribute to an AI training project focused on production-grade Rust development, backend architecture, and complex systems engineering. You will solve and validate technical problems involving APIs, persistence, asynchronous processing, concurrency, performance, and service reliability. You will also build reproducible implementation and testing environments, assess architectural decisions, and ensure backend solutions meet production-quality standards. The ideal candidate combines strong hands-on Rust programming skills with proven experience designing, debugging, and evaluating reliable backend systems. SENIORITY: Senior / Architect-Level Engineer LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide START DATE: Immediate availability preferred Key Responsibilities Solve and validate Rust backend engineering problems involving APIs, service behavior, data persistence, concurrency, performance, and reliability. Translate functional requirements, performance targets, and failure-handling expectations into reproducible implementation and testing workflows. Design, review, and assess backend architectures for correctness, scalability, maintainability, and production readiness. Prepare Rust crate workspaces, configuration files, test fixtures, dependency services, databases, and containerized development environments. Develop and validate test cases that assess expected behavior, edge cases, failure scenarios, and system reliability. Debug complex backend issues and identify weaknesses in implementation, architecture, or system design. Evaluate asynchronous and concurrent systems, including potential race conditions, resource contention, and performance bottlenecks. Produce clear technical explanations and implementation artifacts that meet project specifications and support AI training and evaluation. Maintain consistent output quality while meeting weekly submission requirements and project deadlines. Requirements Strong hands-on proficiency in Rust, demonstrated through substantial professional, research, or open-source software development. Strong understanding of backend service design, APIs, data persistence, and production software architecture. Practical knowledge of asynchronous programming, concurrency, error handling, and performance optimization in Rust. Experience analyzing and resolving complex backend correctness, scalability, reliability, or performance problems. Ability to translate technical requirements into working implementations, reproducible tests, and verifiable outcomes. Experience with Rust workspaces, dependency management, test environments, and backend development tooling. Strong debugging, analytical reasoning, and technical problem-solving skills. Clear written communication and the ability to explain architectural decisions and technical findings. Availability to contribute approximately 15 hours per week and meet the project's minimum weekly task requirements. Ability to begin work within 24–48 hours after completing onboarding.

Location: United States; Canada; Mexico; Costa Rica; Panama; Guatemala About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Rust Backend Architect to contribute to an AI training project focused on production-grade Rust development, backend architecture, and complex systems engineering. You will solve and validate technical problems involving APIs, persistence, asynchronous processing, concurrency, performance, and service reliability. You will also build reproducible implementation and testing environments, assess architectural decisions, and ensure backend solutions meet production-quality standards. The ideal candidate combines strong hands-on Rust programming skills with proven experience designing, debugging, and evaluating reliable backend systems. SENIORITY: Senior / Architect-Level Engineer LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide START DATE: Immediate availability preferred Key Responsibilities Solve and validate Rust backend engineering problems involving APIs, service behavior, data persistence, concurrency, performance, and reliability. Translate functional requirements, performance targets, and failure-handling expectations into reproducible implementation and testing workflows. Design, review, and assess backend architectures for correctness, scalability, maintainability, and production readiness. Prepare Rust crate workspaces, configuration files, test fixtures, dependency services, databases, and containerized development environments. Develop and validate test cases that assess expected behavior, edge cases, failure scenarios, and system reliability. Debug complex backend issues and identify weaknesses in implementation, architecture, or system design. Evaluate asynchronous and concurrent systems, including potential race conditions, resource contention, and performance bottlenecks. Produce clear technical explanations and implementation artifacts that meet project specifications and support AI training and evaluation. Maintain consistent output quality while meeting weekly submission requirements and project deadlines. Requirements Strong hands-on proficiency in Rust, demonstrated through substantial professional, research, or open-source software development. Strong understanding of backend service design, APIs, data persistence, and production software architecture. Practical knowledge of asynchronous programming, concurrency, error handling, and performance optimization in Rust. Experience analyzing and resolving complex backend correctness, scalability, reliability, or performance problems. Ability to translate technical requirements into working implementations, reproducible tests, and verifiable outcomes. Experience with Rust workspaces, dependency management, test environments, and backend development tooling. Strong debugging, analytical reasoning, and technical problem-solving skills. Clear written communication and the ability to explain architectural decisions and technical findings. Availability to contribute approximately 15 hours per week and meet the project's minimum weekly task requirements. Ability to begin work within 24–48 hours after completing onboarding.

Location: India; Australia; Japan; Singapore; Philippines; New Zealand About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Rust Backend Architect to contribute to an AI training project focused on production-grade Rust development, backend architecture, and complex systems engineering. You will solve and validate technical problems involving APIs, persistence, asynchronous processing, concurrency, performance, and service reliability. You will also build reproducible implementation and testing environments, assess architectural decisions, and ensure backend solutions meet production-quality standards. The ideal candidate combines strong hands-on Rust programming skills with proven experience designing, debugging, and evaluating reliable backend systems. SENIORITY: Senior / Architect-Level Engineer LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide START DATE: Immediate availability preferred Key Responsibilities Solve and validate Rust backend engineering problems involving APIs, service behavior, data persistence, concurrency, performance, and reliability. Translate functional requirements, performance targets, and failure-handling expectations into reproducible implementation and testing workflows. Design, review, and assess backend architectures for correctness, scalability, maintainability, and production readiness. Prepare Rust crate workspaces, configuration files, test fixtures, dependency services, databases, and containerized development environments. Develop and validate test cases that assess expected behavior, edge cases, failure scenarios, and system reliability. Debug complex backend issues and identify weaknesses in implementation, architecture, or system design. Evaluate asynchronous and concurrent systems, including potential race conditions, resource contention, and performance bottlenecks. Produce clear technical explanations and implementation artifacts that meet project specifications and support AI training and evaluation. Maintain consistent output quality while meeting weekly submission requirements and project deadlines. Requirements Strong hands-on proficiency in Rust, demonstrated through substantial professional, research, or open-source software development. Strong understanding of backend service design, APIs, data persistence, and production software architecture. Practical knowledge of asynchronous programming, concurrency, error handling, and performance optimization in Rust. Experience analyzing and resolving complex backend correctness, scalability, reliability, or performance problems. Ability to translate technical requirements into working implementations, reproducible tests, and verifiable outcomes. Experience with Rust workspaces, dependency management, test environments, and backend development tooling. Strong debugging, analytical reasoning, and technical problem-solving skills. Clear written communication and the ability to explain architectural decisions and technical findings. Availability to contribute approximately 15 hours per week and meet the project's minimum weekly task requirements. Ability to begin work within 24–48 hours after completing onboarding.

Location: United States; Canada; Mexico; Costa Rica; Panama; Guatemala About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

Location: Brazil; Argentina; Colombia; Chile; Peru; Uruguay About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

Location: United Kingdom; Germany; Poland; South Africa; United Arab Emirates; Egypt About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

Разрабатывать и поддерживать продукт на React + TypeScript. Оптимизировать производительность и повышать стабильность приложения.

Location: Makkah, Saudi Arabia; Dubai, United Arab Emirates; Cairo, Egypt; New Delhi, India Job Summary We are looking for an Enterprise Risk Management Specialist with 3–6 years of experience in enterprise risk management, risk governance, risk assessment, monitoring, and reporting. The ideal candidate should have experience managing risk registers, reviewing controls, engaging stakeholders, and using Microsoft Power BI for reporting and dashboards. Experience: 3–6 years Key Responsibilities Support enterprise risk management and risk governance activities. Identify, assess, monitor, and report organizational risks. Develop and maintain risk registers. Review controls embedded within risk registers. Prepare risk reports and dashboards using Microsoft Power BI. Engage with stakeholders across the organization. Requirements Relevant Expertise Enterprise Risk Management Risk Governance Risk Identification & Assessment Risk Register Management Risk Monitoring & Reporting Controls Review Microsoft Power BI Stakeholder Engagement Preferred Certifications CRMP, CRISC, ISO 31000, or equivalent.

Location: Los Angeles, United States; Warsaw, Poland; Tbilisi, Georgia; Batumi, Georgia; Buenos Aires, Argentina; Tallinn, Estonia Think You Can Make AI Notice Us? Prove It. At LBC Mortgage, we’re looking for a curious, ambitious, and unconventional thinker who is ready to experiment, challenge assumptions, test new ideas, and help make our brand visible across the rapidly evolving world of AI platforms. The way people discover businesses is changing. More and more people are turning to AI assistants like ChatGPT, Gemini, and Perplexity to ask questions, compare services, and decide which companies deserve their attention. We want LBC Mortgage to be part of those conversations. Not just on Google. Not just on social media. We want our brand to be discoverable, recognizable, and accurately represented wherever people search for answers, recommendations, and solutions. Your mission is simple: help make LBC Mortgage impossible to overlook. We’re not looking for someone who needs ten years of experience, a complicated strategy document, or permission to try every new idea. We’re looking for someone who is genuinely interested in how AI works, enjoys exploring new tools, and isn't afraid to test an approach that nobody on the team has tried before. You don't need to know everything on day one. You need to be willing to learn, think independently, take initiative, and turn ideas into action. This is not about taking reckless risks or doing things without a plan. It’s about having the confidence to experiment intelligently, measure results, and improve continuously instead of assuming that yesterday’s methods will always work tomorrow. You will help establish and maintain our presence across relevant business directories, search engines, review websites, social platforms, online communities, and emerging AI-driven discovery channels. You’ll work on making sure our business information is accurate and consistent, our profiles are complete, and our content clearly communicates who we are and what we do. You’ll also explore how brands are mentioned in AI-generated answers, identify opportunities to strengthen our online presence, and investigate what helps AI systems discover and understand reliable information about businesses. From improving business listings to researching customer questions, contributing appropriately to relevant communities, and testing new content strategies, your work will help us understand how to become more visible in a world increasingly shaped by AI. You should be comfortable following a strategy while also recognizing opportunities to improve it. If you notice something that could work better, speak up. If you discover a promising platform, explore it. If you have an idea worth testing, explain your reasoning and help us evaluate the results. We value people who combine initiative with accountability and creativity with attention to detail. Most importantly, we want someone who sees this role as an opportunity rather than a checklist. Someone who wants to help shape how a brand competes in a changing digital landscape. Someone who understands that there may not always be a ready-made answer and is willing to find one. We’re not promising that every experiment will succeed. We’re offering the opportunity to explore, test, learn, and contribute to something that is evolving in real time. You’ll have a clear objective, the freedom to investigate different approaches, and the responsibility to turn what you learn into meaningful progress. Don’t just tell us you’re different. Show us how you think, what you’re curious about, and what you would try first. Ready to make AI notice us? Apply.

Location: Amsterdam, Netherlands We are looking for a Senior Game Designer who combines systems design and economy design expertise with LiveOps and product strategy. You will shape the core progression and monetization systems of our free‑to‑play titles while owning an events and content roadmap that boosts retention and revenue. You’ll blend creative design with data‑driven decision‑making, transforming KPIs and player insights into clear, high‑impact updates. You’ll be a key force in an agile, multidisciplinary and creatively charged development team. About CoolGames At CoolGames, we’re proud to be a leading international HTML5 game studio, working with some of the world’s biggest ‘Big Tech’ game platforms, such as Netflix, Discord, Facebook and Microsoft Play. We also work with famous games IP such as Battleship, Angry Birds and Monopoly. CoolGames is part of Keesing, the world’s largest Braintainment company. Keesing is a financially strong publisher of engaging sudokus, crosswords and many other puzzles & games with a presence in over 20 countries and headquartered in The Netherlands. With the CoolGames HQ in Amsterdam, supported by our global remote teams, we offer market-competitive salaries, the chance to contribute to successful casual games that are played by millions and work directly with some of the biggest brands in the world. We believe in creativity, collaboration and delivering world-class gaming experiences, while giving you the choice to either join our Amsterdam studio or become part of our remote teams. If you want to grow your career in a profitable, internationally recognized company, work closely with world-famous partners and be part of a highly professional international team,CoolGames is the right place for you. About the role As a Senior Game Designer, you will be responsible for the entire systems and LiveOps lifecycle. This includes designing new casual free-to-play games for desktop, tablets, and mobile, from initial concept through all stages of the product lifecycle. You will design and balance core loops, progression, rewards and game economy, then extend them through LiveOps: in‑game events, content drops, experiments and monetization changes that address KPI opportunities, lift retention and grow both IAP and ad revenue. Armed with analytical tools, you will translate insights into actions, weigh impact versus effort, and continuously iterate to keep our games fresh and competitive. Working side‑by‑side with developers, artists, QA and marketing in an agile environment, you will articulate strategy and results to stakeholders at every level, ensuring smooth execution. At the same time you will coach and inspire other game designers, fostering a culture of creativity, data‑driven decision‑making and constant improvement across the team. Your responsibilities will include: Define and maintain the systems design for core loops, progression, rewards and economy (sources/sinks, pacing, difficulty), ensuring they align with player needs and business goals Build and evolve a LiveOps strategy and content roadmap (events, seasonal mechanics, IAP offers and ad-driven promos) that drives engagement and revenue Design and implement in-game experiments (A/B tests, event variations) and use the results to inform design decisions; iterate so each update measurably improves retention and monetization Specify clear, developer-ready design documents and balancing sheets; be the single source of truth for feature scope, rationale and success metrics Stay on top of casual F2P market trends and top-grossing competitors; pitch new content, meta features or mechanics (e.g., collections, passes, streaks, time-limited challenges) that fit our audience Collaborate within a multidisciplinary team (design, engineering, art, QA, marketing) to deliver features and LiveOps smoothly; participate in agile rituals to align with development cycles and product goals Present product vision, LiveOps plans and post-event analyses; communicate the “why” behind your strategy with data and research to secure buy-in from internal stakeholders and external partners Mentor other game designers and raise team craft through feedback and reviews Requirements About You 5+ years of professional experience as a Senior Game Designer within the mobile or web F2P industry, with hands-on systems/economy and LiveOps experience Deep familiarity with top-grossing casual games and F2P mechanics; you know what keeps players returning and spending, and can anticipate shifts in player behavior or monetization patterns Ability to translate complex data and KPIs into actionable design changes and clear roadmaps, balancing player enjoyment with business objectives Strong written and verbal communication in English; concise specs and clear presentation skills Proven experience in cross-functional teams; you integrate creative, technical and commercial perspectives into a cohesive product direction Experience in mentorship or leadership, fostering designer growth, and promoting a positive, solution-oriented approach. Bonus: game economy design specialization; puzzle/casual background; HTML5/web distribution experience Benefits What we can offer you: An international team of 80+ professionals from almost 20 different countries; Work closely with some of the biggest (upcoming) game platforms in the world on high-quality casual games that are played by millions of gamers; Competitive remuneration; A flexible remote working environment; Company events in HQ Amsterdam Office; A very open, informal and international company culture where everyone can make a difference.

Location: Metn, Lebanon Role Overview At Toters, we are on a mission to be the heartbeat of local economies, driving growth by connecting people with anything they need, fast. We believe in turning big ideas into real-world impact, empowering local businesses and making everyday life easier for our customers. We are looking for an HR Officer to support the day-to-day delivery of HR services for Toters Fresh and Trade warehouse employees. This role will support recruitment coordination, onboarding and offboarding, employee documentation, workforce system updates, attendance and payroll inputs, and employee queries. It is suited to an organized and proactive HR professional who can manage a high volume of recurring tasks accurately, provide responsive employee support, and ensure that established processes are followed across warehouse locations. Key Responsibilities Recruitment & Staffing Coordination Coordinate recruitment activities for warehouse roles, including candidate screening, interview scheduling, candidate communication, recruitment events, and maintenance of hiring trackers. Follow up with hiring managers and candidates to keep recruitment steps moving and help ensure selected candidates are ready to join on the agreed date. Support referral and other approved recruitment initiatives and maintain accurate records of candidate progress and recruitment outcomes. Onboarding, Offboarding & Employee Documentation Collect and check required onboarding documents, coordinate joining formalities, and ensure employee records and system setup are completed in line with established procedures. Follow up on missing documents and NSSF-related information with employees and relevant stakeholders, escalating delays or gaps that could affect compliance or payroll. Coordinate offboarding documentation, employee status updates, and transfers between warehouse branches, ensuring records are updated accurately and on time. HR Systems, Attendance & Payroll Inputs Maintain accurate employee data in the applicable HR and workforce management systems, including Upthyme for warehouse workforce administration. Collect, verify, and coordinate attendance, overtime, leave, time deviations, and other payroll-related inputs with warehouse managers before submission deadlines. Flag data errors, system discrepancies, missing approvals, and unusual timekeeping records, and follow through with the relevant teams until resolved. Employee Support & HR Administration Respond to routine employee questions and direct complex or sensitive matters to the appropriate HRBP or senior HR colleague. Support the administration of probation reviews, employee communications, performance documentation, and approved recognition or engagement initiatives. Maintain orderly and confidential employee files and ensure employee transactions are processed only with the required approvals and supporting documents. Reporting & Process Follow-up Update trackers relating to recruitment, onboarding, offboarding, employee documents, attendance exceptions, and other routine HR activities. Prepare accurate periodic reports and summaries, highlighting outstanding actions, recurring errors, and items requiring manager follow-up. Follow approved SOPs and checklists, meet recurring deadlines, and suggest practical improvements where a process is unclear or inefficient. What We're Looking For 1 to 3 years of experience in HR, HR operations, recruitment coordination, or a related administrative role. Bachelor’s degree in Human Resources, Business Administration, or a related field is preferred. Experience in a high-volume or operational environment is an advantage. Basic understanding of employee lifecycle processes, employee documentation, attendance, and payroll inputs. Comfortable using HRIS or workforce management systems; experience with Excel and data tracking is important. Awareness of Lebanese employment documentation and NSSF processes, or willingness to learn these quickly. Strong attention to detail, organization, and follow-through, with the ability to handle recurring deadlines. Clear communication skills, a service-oriented approach, discretion, and the ability to work effectively with employees and operational managers. What Sets This Role Apart Direct exposure to the employee experience across a large and growing warehouse network. An opportunity to develop broad HR operations skills, from recruitment and onboarding to employee support and workforce data. A practical role where accuracy, responsiveness, and follow-through make a visible difference to operations. The opportunity to grow within a developing HR function and take increasing ownership over time.

Location: Colombia Paired is a global staffing and recruiting agency that connects talented professionals with US-based companies. We help businesses find exceptional remote talent and support candidates throughout the hiring process. Our client is a US-based company that provides leads to real estate investors and is expanding into home services. The team moves quickly, uses data to make decisions, and takes customer problems seriously. About the role We’re looking for a hands-on Senior Customer Support to manage the day-to-day support function within the Customer Success team. You’ll guide the support team while also working directly with customers through tickets, calls, texts, and voicemails. You’ll be responsible for timely responses, strong service quality, and resolving issues thoroughly. What you’ll do Coordinate incoming support requests and ensure customers receive prompt, helpful answers. Handle complex or sensitive customer issues and follow them through to resolution. Review support conversations and coach the team on accuracy, empathy, and professionalism. Track response times, resolution rates, customer satisfaction, and support quality. Create clear processes, training materials, and knowledge base resources. Help onboard and train new support team members. Work with Customer Success, Technology, and Refunds teams to resolve issues and improve workflows. Identify opportunities to use automation and technology to make support more efficient. Requirements 3+ years of experience in customer support, customer service, or another B2B customer-facing role. Excellent written and spoken English. Experience guiding teammates, training others, or improving support processes. Strong judgment when handling frustrated customers and escalations. An organized, detail-oriented approach to managing multiple requests. Comfort using ticketing platforms, CRMs, and reporting tools. The team uses Freshdesk and GoHighLevel. A problem-solving mindset and the ability to work across teams. Experience in real estate is a plus. What success looks like Customers receive fast, complete answers; more issues are resolved without repeat contacts or unnecessary escalations; and the team has clear processes that help it deliver consistently excellent support. Benefits Benefits Competitive salary (USD) Work From Home

Location: Bangalore, India You Are passionate about technology, wake up every morning to experiment, learn and develop new solutions! You Will Work on latest edge Cloud computing to solve difficult, manual and repeatable tasks for users adopting Cloud technologies like AWS, Salesforce, Microsoft and more Use the latest trends on building SaaS applications using multitenancy, scalability large data volumes / Big Data and more Develop and expand our portfolio to support most popular Cloud apps (200+) Develop understanding of not just software development, but also how to design, develop and launch a product from concept to high customer use. About Us At DBSync we provide opportunity to use technology that creates innovative and next generation data integration products which helps our employees to cultivate their creativity and sense of belonging. DBSync is a leading provider for data integration and Data warehousing services for both cloud/SAAS-based-on-demand applications. We were incubated by Salesforce.com (as a part of Avankia), before getting spunned off as a separate company. DBSync provides data integration as a SAAS-based, Standalone or hosted integration at a competitive price with a plethora of benefits for business users. Our main motto is to provide a strong foundation for businesses in solving complex problems and automating their workflows while acting as a pillar of support for all their data integrations needs. At DBSync we encourage innovation and creativity and our team is diverse comprising of a nice mix of cultural blends. We are a family where each talent is recognised and honed for the best of the individual and the company as a whole. We maintain a very professional, learn and excel vision with a hint of a start-up-like environment making each individual feel important and responsible with an equal opportunity to grow to the sky’s limit! If you have a spirit of enthusiasm to grow beyond horizons, a determination to work hard, confidence to achieve success and influence future visions and products and be a successful part of the next gen trend, DBSync is the place for you! Our Value System We genuinely care We do not waste time on manual or mundane task We have a fun environment We own it We are experts on what we do We win together DBSync has been: We have been rated 4.7 / 5 on G2. We have got around 125 reviews in 2023. Based on the reviews G2 has awarded DBSync following badges. - Best Relationship- Winter 2024 - Leader Americas Winter 2024 - Best Results - Winter 2024 - Best Usability - Winter 2024 About the Role We are looking for a creative, detail-oriented Graphic & Video Production Specialist for a 3 to 6-month contract engagement. In this role, you will help elevate our brand visuals and digital storytelling across our website, social media, product explainers, and marketing campaigns. This role is ideal for a skilled intern or junior-to-mid creative professional eager to build high-impact multimedia assets for an established B2B SaaS brand. Roles and Responsibilities Video Production & Editing: Edit short-form and long-form video content, including SaaS product demos, customer testimonials, feature releases, and webinar recordings. Add motion graphics, kinetic typography, lower thirds, animations, and sound design to make technical B2B topics engaging and easy to understand. Repurpose existing video assets into bite-sized clips for LinkedIn, YouTube Utilize modern AI tools to generate, compose, and edit to produce the final output (mandatory) Graphic Design & Branding: Design visual assets for digital marketing: social media banners, blog headers, email newsletters, and digital ad sets. Create high-quality collateral such as sales one-pagers, whitepaper layouts, presentation pitch decks, and infographics. Maintain and uphold DBSync’s brand guidelines across all produced creative assets. Work closely with the marketing and product teams to translate technical specs and scripts into clear storyboards and visual concepts. Manage project timelines to deliver high-quality assets within agreed sprint cycles. Skills and Qualifications: Prior internship, freelance, or contract experience in graphic design and video editing (B2B, tech, or agency experience is a plus). Excellent knowledge of AI tools and video generation (Claude Code, ChatGPT Codex, etc). Using the AI skills, plugins, and connectors to create and scale video production. Software Proficiency: Video/Motion: Adobe Premiere Pro, After Effects, Veed.io , or similar video editing tools. Graphic Design: Adobe Illustrator, Photoshop, and/or Figma / Canva. AI tools: Claude Code, HeyGen, ElevenLabs, HyperFrames, or similar AI video generation/editing tools (Mandatory) Portfolio: A portfolio or reel showcasing video editing, motion design, and graphic design samples is required. Skills: Solid understanding of layout, typography, color theory, and composition. Basic audio editing and cleanup skills (noise reduction, leveling, background music integration). Ability to translate abstract or technical SaaS integration concepts into clean, accessible visuals. Work Style: Self-starter with good communication skills, receptive to creative feedback, and able to work independently in a remote environment.un a discovery workshop, explain a technical trade-off to a non-technical stakeholder, and write clear documentation. Location: Bangalore (Remote) Shift Timings: U.K. Shift (1:30 PM IST - 10:30 PM IST) For more information about DBSync, visit www.mydbsync.com. Video: https://www.youtube.com/playlist?list=PLJzycdoERLoekPWNkXEsuih807TQAEnnB

Location: Marousi, Greece Position Overview The Legal Counsel will provide strategic legal support to the Group's operations across Greece, Luxembourg and other jurisdictions where the Group operates, advising senior management and business stakeholders on a broad range of legal and regulatory matters, with particular emphasis on corporate governance, corporate affairs, and legal support for Finance and HR operations across the Group's subsidiaries and affiliated entities worldwide. Key activities and responsibilities: Offering strategic legal counsel to senior management and other stakeholders on a broad range of legal and regulatory matters; Ensuring the company adheres to all applicable laws and regulations, including those related to corporate governance, finance, employment and industry-specific requirements; Managing corporate governance and corporate housekeeping matters for the Greek and Luxembourg entities and coordinating corporate legal affairs across the Group's subsidiaries and affiliated companies worldwide, including board and shareholder matters, corporate records, powers of attorney and coordination with external counsel; Drafting, reviewing and negotiating day-to-day commercial and corporate agreements, including employment agreements, freelance contracts, confidentiality agreements, terms and conditions, non-competition agreements, NDAs and DPAs for the Group's entities worldwide; Drafting, negotiating and supporting the performance of public procurement contracts, ensuring that the company's interests are adequately protected; Drafting and reviewing legal documents, pleadings and other documents to be submitted before courts and administrative authorities; Providing legal support in public procurement procedures; Managing litigation matters, including coordinating and supervising external counsel in Greece and other jurisdictions; Reviewing and updating employee handbooks, codes of conduct, internal policies and corporate compliance documentation; Monitoring legal and regulatory developments affecting the Group's operations across multiple jurisdictions and advising the business on legal risks and compliance requirements. Requirements University Degree in Law and membership of a Greek Bar Association; At least 5-8 years of professional experience as a lawyer, preferably in an international corporate environment or a leading law firm; Demonstrated experience in corporate law and corporate governance, including management of multinational corporate structures and coordination of cross-border corporate matters; Excellent written and verbal communication skills in Greek and English; Excellent command of the French language; Excellent knowledge of Microsoft Office applications; Strong legal drafting, analytical, negotiation and problem-solving skills; An LL.M. or professional experience in one or more of the following areas will be considered an asset: EU law, corporate law, public procurement law, employment law and commercial contract law; Litigation experience will be considered an advantage; Ability to work independently, manage multiple priorities and collaborate effectively within a fast-paced international environment; Benefits We believe in rewarding talent and dedication. Here's what you can expect as part of our team: Competitive full-time salary and participation in incentive plan of the senior management of the group; Private Health Coverage on the Company’s group program; Flexible working hours; Top-of-the-Line Tools; Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities; Career Growth: Work with some of the most innovative and exciting specialists in the industry; Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth. If you want an exciting challenge, work with some of the coolest technologies and enjoy your time doing it, then join us! Submit your detailed CV in English, quoting reference: ( SLC/11/26 ). You may also consider all our other open vacancies by visiting the career section of our website ( www.eurodyn.com) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS (ED) ( www.eurodyn.com) is a leading European Software, Information, Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.). The company employs over 1100 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. ED is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion. ED adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in www.eurodyn.com/privacy. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorise ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.