Вакансии

Location: Belgrade, Serbia As part of our continued growth, Neo Group is recruiting on behalf of one of our local partners , leveraging our network of 1,400 talented professionals across 10+ countries. Together, we are committed to delivering innovative, data-driven solutions that empower our clients and foster professional growth within a dynamic and collaborative workplace. We are on the lookout for a Senior System Engineer to join our Engineering Team. Unlock your full potential as a Senior System Engineer . In this senior, hands-on role, you will help move our partner's Infrastructure & Operations toward a platform engineering model, building reusable, self-service infrastructure capabilities for databases, messaging, secrets, DNS, compute, monitoring and application environments. You won't just keep systems running; you will automate and standardize infrastructure workflows, develop internal tooling and APIs, and improve how Kubernetes, CI/CD, networking and observability work together. If you have deep Linux and Kubernetes experience, think in reusable systems rather than one-off scripts, and enjoy solving complex production issues, we would love to hear from you! Key Responsibilities Platform Engineering & Transformation: Help evolve Infrastructure & Operations toward a platform engineering model. Workflow Automation & Standardization: Standardize and automate infrastructure workflows and reduce manual provisioning. Core Capabilities & Provisioning: Build reusable infrastructure capabilities for databases, messaging, secrets, DNS, compute, monitoring, and application environments. Internal Tooling & Lifecycle Management: Develop internal tooling, APIs, and declarative workflows for infrastructure lifecycle management. Ecosystem & Tooling Integration: Improve integration between Kubernetes, CI/CD, networking, secrets management, databases, and observability systems. Architectural & Technical Design: Participate in architecture and technical design of platform and infrastructure services. Reliability & Performance Engineering: Improve reliability, scalability, and operational simplicity of production infrastructure. Troubleshooting & Incident Investigation: Investigate complex infrastructure and production issues across Linux, networking, applications, and distributed systems. Observability & Diagnostics: Improve observability, diagnostics, and troubleshooting capabilities. Cross-Functional Collaboration: Work closely with Development, DevOps, SRE, DBA, Security, and Infrastructure units. Documentation & Best Practices: Standardize common infrastructure solutions and document how they should be implemented and used. Technology Innovation & Developer Experience: Evaluate and introduce technologies that improve developer experience and infrastructure efficiency. Requirements 5+ years of hands-on experience in Infrastructure Engineering, Systems Engineering, SRE, DevOps, Production Engineering or similar roles. Strong Linux administration and troubleshooting skills. Good understanding of production infrastructure, networking and distributed systems. Hands-on experience operating Kubernetes in production . Practical experience with Infrastructure as Code and configuration management , using Terraform, Ansible or similar tools. Experience with CI/CD and infrastructure automation workflows. Programming or strong scripting skills in Python, Go, Java, Bash or similar. Experience with monitoring and observability systems. Understanding of secrets management and secure infrastructure access patterns. Experience integrating infrastructure systems through APIs. Ability to design reusable infrastructure solutions instead of one-off automation. Strong systems thinking and ability to troubleshoot complex cross-system issues. Ability and willingness to learn new infrastructure and platform technologies. Nice to Have Experience with GitOps approaches and tools. Experience with Crossplane, Kubernetes operators or controllers . Experience with Vault or similar secrets management platforms. Experience with Kafka, PostgreSQL, Redis or ClickHouse . Experience with Proxmox, VMware or public cloud platforms . Experience developing internal infrastructure tools, APIs or self-service capabilities . Soft Skills Strong analytical thinking and technical curiosity. Ownership and responsibility. Pragmatic approach to automation and engineering. Ability to work independently on ambiguous technical problems. Good communication and documentation skills. Willingness to remain hands-on and share technical knowledge. Benefits Recharge your batteries with 20 paid working vacation days annually to explore, relax, and rejuvenate. Kick off your birthday month with a bang! Not only do you get heartfelt birthday wishes from your team, but you also enjoy a fully-paid day off. Get legal support for obtaining a local work/residence permit. Prioritize your health with compensation for wellness activities. Experience an international work environment with a passionate, motivated, and professional team. We support your health by partially or fully reimbursing medical insurance costs, depending on the chosen plan. Invest in your growth using professional development compensation. Boost your energy and morale with complimentary snacks available in the office. Foster camaraderie and celebrate achievements through engaging in corporate events throughout the year.

Location: Kazakhstan; Yerevan, Armenia; Uzbekistan; Tbilisi, Georgia As part of our continued growth, Neo Group is recruiting on behalf of one of our local partners , leveraging our network of 1,400 talented professionals across 10+ countries. Together, we are committed to delivering innovative, data-driven solutions that empower our clients and foster professional growth within a dynamic and collaborative workplace. We are on the lookout for a Senior System Engineer to join our Engineering Team. Unlock your full potential as a Senior System Engineer . In this senior, hands-on role, you will help move our partner's Infrastructure & Operations toward a platform engineering model, building reusable, self-service infrastructure capabilities for databases, messaging, secrets, DNS, compute, monitoring and application environments. You won't just keep systems running; you will automate and standardize infrastructure workflows, develop internal tooling and APIs, and improve how Kubernetes, CI/CD, networking and observability work together. If you have deep Linux and Kubernetes experience, think in reusable systems rather than one-off scripts, and enjoy solving complex production issues, we would love to hear from you! Key Responsibilities Platform Engineering & Transformation: Help evolve Infrastructure & Operations toward a platform engineering model. Workflow Automation & Standardization: Standardize and automate infrastructure workflows and reduce manual provisioning. Core Capabilities & Provisioning: Build reusable infrastructure capabilities for databases, messaging, secrets, DNS, compute, monitoring, and application environments. Internal Tooling & Lifecycle Management: Develop internal tooling, APIs, and declarative workflows for infrastructure lifecycle management. Ecosystem & Tooling Integration: Improve integration between Kubernetes, CI/CD, networking, secrets management, databases, and observability systems. Architectural & Technical Design: Participate in architecture and technical design of platform and infrastructure services. Reliability & Performance Engineering: Improve reliability, scalability, and operational simplicity of production infrastructure. Troubleshooting & Incident Investigation: Investigate complex infrastructure and production issues across Linux, networking, applications, and distributed systems. Observability & Diagnostics: Improve observability, diagnostics, and troubleshooting capabilities. Cross-Functional Collaboration: Work closely with Development, DevOps, SRE, DBA, Security, and Infrastructure units. Documentation & Best Practices: Standardize common infrastructure solutions and document how they should be implemented and used. Technology Innovation & Developer Experience: Evaluate and introduce technologies that improve developer experience and infrastructure efficiency. Requirements 5+ years of hands-on experience in Infrastructure Engineering, Systems Engineering, SRE, DevOps, Production Engineering or similar roles. Strong Linux administration and troubleshooting skills. Good understanding of production infrastructure, networking and distributed systems. Hands-on experience operating Kubernetes in production . Practical experience with Infrastructure as Code and configuration management , using Terraform, Ansible or similar tools. Experience with CI/CD and infrastructure automation workflows. Programming or strong scripting skills in Python, Go, Java, Bash or similar. Experience with monitoring and observability systems. Understanding of secrets management and secure infrastructure access patterns. Experience integrating infrastructure systems through APIs. Ability to design reusable infrastructure solutions instead of one-off automation. Strong systems thinking and ability to troubleshoot complex cross-system issues. Ability and willingness to learn new infrastructure and platform technologies. Nice to Have Experience with GitOps approaches and tools. Experience with Crossplane, Kubernetes operators or controllers . Experience with Vault or similar secrets management platforms. Experience with Kafka, PostgreSQL, Redis or ClickHouse . Experience with Proxmox, VMware or public cloud platforms . Experience developing internal infrastructure tools, APIs or self-service capabilities . Soft Skills Strong analytical thinking and technical curiosity. Ownership and responsibility. Pragmatic approach to automation and engineering. Ability to work independently on ambiguous technical problems. Good communication and documentation skills. Willingness to remain hands-on and share technical knowledge. Benefits Hybrid work model. Flexible working schedule. Interesting product. Learning opportunities. Career growth prospects.

Location: Minsk, Belarus As part of our continued growth, Neo Group is recruiting on behalf of one of our local partners , leveraging our network of 1,400 talented professionals across 10+ countries. Together, we are committed to delivering innovative, data-driven solutions that empower our clients and foster professional growth within a dynamic and collaborative workplace. We are on the lookout for a Senior System Engineer to join our Engineering Team. Unlock your full potential as a Senior System Engineer . In this senior, hands-on role, you will help move our partner's Infrastructure & Operations toward a platform engineering model, building reusable, self-service infrastructure capabilities for databases, messaging, secrets, DNS, compute, monitoring and application environments. You won't just keep systems running; you will automate and standardize infrastructure workflows, develop internal tooling and APIs, and improve how Kubernetes, CI/CD, networking and observability work together. If you have deep Linux and Kubernetes experience, think in reusable systems rather than one-off scripts, and enjoy solving complex production issues, we would love to hear from you! Key Responsibilities Platform Engineering & Transformation: Help evolve Infrastructure & Operations toward a platform engineering model. Workflow Automation & Standardization: Standardize and automate infrastructure workflows and reduce manual provisioning. Core Capabilities & Provisioning: Build reusable infrastructure capabilities for databases, messaging, secrets, DNS, compute, monitoring, and application environments. Internal Tooling & Lifecycle Management: Develop internal tooling, APIs, and declarative workflows for infrastructure lifecycle management. Ecosystem & Tooling Integration: Improve integration between Kubernetes, CI/CD, networking, secrets management, databases, and observability systems. Architectural & Technical Design: Participate in architecture and technical design of platform and infrastructure services. Reliability & Performance Engineering: Improve reliability, scalability, and operational simplicity of production infrastructure. Troubleshooting & Incident Investigation: Investigate complex infrastructure and production issues across Linux, networking, applications, and distributed systems. Observability & Diagnostics: Improve observability, diagnostics, and troubleshooting capabilities. Cross-Functional Collaboration: Work closely with Development, DevOps, SRE, DBA, Security, and Infrastructure units. Documentation & Best Practices: Standardize common infrastructure solutions and document how they should be implemented and used. Technology Innovation & Developer Experience: Evaluate and introduce technologies that improve developer experience and infrastructure efficiency. Requirements 5+ years of hands-on experience in Infrastructure Engineering, Systems Engineering, SRE, DevOps, Production Engineering or similar roles. Strong Linux administration and troubleshooting skills. Good understanding of production infrastructure, networking and distributed systems. Hands-on experience operating Kubernetes in production . Practical experience with Infrastructure as Code and configuration management , using Terraform, Ansible or similar tools. Experience with CI/CD and infrastructure automation workflows. Programming or strong scripting skills in Python, Go, Java, Bash or similar. Experience with monitoring and observability systems. Understanding of secrets management and secure infrastructure access patterns. Experience integrating infrastructure systems through APIs. Ability to design reusable infrastructure solutions instead of one-off automation. Strong systems thinking and ability to troubleshoot complex cross-system issues. Ability and willingness to learn new infrastructure and platform technologies. Nice to Have Experience with GitOps approaches and tools. Experience with Crossplane, Kubernetes operators or controllers . Experience with Vault or similar secrets management platforms. Experience with Kafka, PostgreSQL, Redis or ClickHouse . Experience with Proxmox, VMware or public cloud platforms . Experience developing internal infrastructure tools, APIs or self-service capabilities . Soft Skills Strong analytical thinking and technical curiosity. Ownership and responsibility. Pragmatic approach to automation and engineering. Ability to work independently on ambiguous technical problems. Good communication and documentation skills. Willingness to remain hands-on and share technical knowledge. Benefits Enjoy 5 health days to focus on your well-being. Take advantage of 25 paid calendar vacation days to explore, relax, and unwind. Get a $30 net per month sports compensation to stay active and healthy. Benefit from top-notch medical insurance for peace of mind. Indulge in a variety of snacks available in the office. Join us for exciting corporate events that foster team spirit and fun!

Location: SF Bay Area Workplace: Hybrid ABOUT THE ROLE We’re looking for an experienced software engineer to help drive and evolve our data and AI security product. Our technology is new and rapidly evolving: you’ll be an early contributor with a substantial impact on the architecture and be solving multiple exciting technical challenges! WHAT YOU'LL DO - You'll design and implement highly scalable and fault-tolerant solutions to protect enterprise data across public clouds (e.g., AWS, GCP, Azure), SaaS applications, and AI agents. - You'll build security capabilities that provide visibility into and control over how AI agents discover, access, process, and share sensitive enterprise data. - You'll solve real-world scaling problems that require thorough performance analysis and troubleshooting skills. - You'll work with a modern and constantly evolving microservices-based software stack that includes Go, Kubernetes, Bigtable, BigQuery, Spanner, Redis, Docker, and more. - You'll write robust, secure-by-design software that must withstand real-world attacks while processing untrusted data and communicating with hundreds of thousands of endpoints over the internet. WHO YOU ARE - Proven Expertise: You have 5-8 yrs of industry experience in building high-scale security products. Experience in data security is highly preferred. - AI Agents and Agentic Security: You have experience building AI agents, agentic applications, or security solutions for AI agents. Familiarity with agent frameworks, tool calling, MCP, and securing agent access to enterprise data is highly preferred. - Cloud and SaaS Development: You have extensive experience developing distributed application software for public clouds (AWS, GCP, Azure) or SaaS applications. - Data Integration at Scale: You are skilled in integrating and ingesting large-scale data from third-party SaaS, PaaS, or IaaS APIs. - Programming Skills: You have extensive experience developing enterprise-scale applications, preferably in Go. Alternatively, you are proficient in Python, Java, or Rust. - Database Proficiency: Familiarity with GCP Bigtable, BigQuery, or graph databases such as Neo4j or AWS Neptune is a plus. - Performance Optimization: You have expertise in profiling and optimizing distributed code that interacts with large databases and streaming platforms. - API and Microservices Development: You are experienced in designing and implementing RESTful APIs, with hands-on knowledge of microservices and Kubernetes. - Communication Skills: You have excellent verbal and written communication skills in English and are comfortable collaborating frequently with distributed teams across Europe, India, and the US. Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It. Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe. AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking. Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Location: Bangalore Workplace: Hybrid ABOUT THE ROLE We’re looking for an experienced Senior Software Engineer with 5+ years of experience to help build and evolve our data and AI security product. You’ll work on scalable backend systems that protect enterprise data across cloud environments, SaaS applications, and AI agents. As an early contributor, you’ll have the opportunity to influence technical decisions and solve complex engineering challenges at scale. WHAT YOU’LL DO - Design and build highly scalable, reliable, and fault-tolerant backend systems to protect enterprise data across public clouds (AWS, GCP, Azure), SaaS applications, and AI agents. - Develop security capabilities that provide visibility and control over how AI agents access, process, and share sensitive enterprise data. - Build and optimize distributed services that process large volumes of data with high performance and reliability. - Work with a modern microservices-based stack including Go, Kubernetes, Bigtable, BigQuery, Spanner, Redis, and Docker. - Write secure, production-ready code and troubleshoot complex performance and scalability challenges. - Collaborate with engineering teams to contribute to technical design and architecture decisions. WHO YOU ARE - You have 5+ years of software engineering experience building scalable backend systems and distributed applications. - You have experience developing cloud-native or SaaS applications, preferably in security or data protection. - You have experience with AI agents, agentic applications, or AI security, including familiarity with agent frameworks, tool calling, or MCP. - You have experience integrating and ingesting large-scale data from third-party SaaS, PaaS, or IaaS APIs. - You have strong programming skills in Go, Python, Java, or Rust, with Go preferred. - You have hands-on experience with microservices, RESTful APIs, Kubernetes, and public cloud platforms. - You are familiar with distributed databases such as Bigtable, BigQuery, Spanner, Redis, or graph databases. - You have strong debugging, performance optimization, and problem-solving skills, with the ability to independently own and deliver technical solutions. - You communicate effectively and collaborate well with distributed teams. Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It. Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe. AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking. Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Location: Serbia POWER A WORLD OF TRUST Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust. Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services. We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up! About Incode Incode is a Series B unicorn ($2 B valuation) rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security. Recently named a leader in the Gartner® Magic Quadrant™ for Identity Verification, we’re scaling fast. The Impact You’ll Make We are seeking a highly skilled Backend Engineer to join our team of backend and DevOps experts. In this role, you will design and implement scalable, resilient backend services that power products used by millions of users. You’ll tackle complex engineering challenges, from extracting services from a monolith to designing robust APIs and data migrations, while ensuring performance, stability, and maintainability. What You’ll Own & Drive Engineering Excellence & Scalability – Architect and implement backend systems that are robust, scalable, and capable of supporting millions of active users. Ensure high availability and reliability through thoughtful system design. Service Development Lifecycle – Build and maintain services from initial model design to production support. Contribute across all phases, including prototyping, implementation, testing, deployment, and monitoring. Code Quality & Best Practices – Write clean, maintainable, and well-tested code. Participate in code reviews to maintain high standards and mentor peers on engineering best practices. Complex Problem-Solving – Tackle challenging engineering problems such as decomposing monolithic applications into microservices, managing large-scale data migrations, and optimizing system performance. Observability & Resilience – Implement logging, monitoring, and tracing practices to ensure system health and reliability. Proactively identify and address performance bottlenecks. Cross-Team Collaboration – Work closely with DevOps, product managers, and other engineers to ensure smooth integrations and high-quality deliverables. Align engineering solutions with business needs and operational goals. What You’ll Own & Drive Engineering Excellence & Scalability – Architect and implement backend systems that are robust, scalable, and capable of supporting millions of active users. Ensure high availability and reliability through thoughtful system design. Service Development Lifecycle – Build and maintain services from initial model design to production support. Contribute across all phases, including prototyping, implementation, testing, deployment, and monitoring. Code Quality & Best Practices – Write clean, maintainable, and well-tested code. Participate in code reviews to maintain high standards and mentor peers on engineering best practices. Complex Problem-Solving – Tackle challenging engineering problems such as decomposing monolithic applications into microservices, managing large-scale data migrations, and optimizing system performance. Observability & Resilience – Implement logging, monitoring, and tracing practices to ensure system health and reliability. Proactively identify and address performance bottlenecks. Cross-Team Collaboration – Work closely with DevOps, product managers, and other engineers to ensure smooth integrations and high-quality deliverables. Align engineering solutions with business needs and operational goals. The Qualities That Set You Apart Technical Mastery – Deep knowledge of Java/Kotlin and the Spring framework ecosystem, with proven expertise in backend architectures. Database Expertise – Strong understanding of PostgreSQL, MongoDB, and Redis, with the ability to design schemas, optimize queries, and ensure data consistency. API Design Proficiency – Experience in designing, building, and maintaining REST APIs with a focus on clarity, scalability, and long-term maintainability. Analytical Mindset – Skilled at breaking down complex systems and applying logical, systematic approaches to engineering problems. Quality-Driven Approach – Commitment to writing high-quality, maintainable code with comprehensive test coverage. Adaptability & Growth – Thrives in dynamic, fast-paced environments. Willing to take ownership of difficult problems and continuously grow technical expertise. Collaborative Spirit – Strong communication and teamwork skills, enabling seamless collaboration across engineering and DevOps teams. Your Background 5+ years of professional software development experience Proficiency in Java/Kotlin and the Spring framework ecosystem Experience with observability tools (logging, monitoring, tracing) Solid understanding of PostgreSQL, MongoDB, and Redis Hands-on experience in domain modeling and REST API design Track record of delivering scalable and maintainable systems Why Incode? Mission with Meaning – Shape how billions of people prove identity—safely, simply, and ethically. Rocket-Ship Growth – Join at an inflection point where your strategies will compound in value for years. Elite Team & Backing – Work a truly global with top engineers, designers, and investors who share your ambition to dominate a category. Ownership & Autonomy – Operate like a founder with the resources of a unicorn. Global Impact – Every program you launch will reverberate across industries and continents. Ready to ignite the future of trust? Lead the narrative. Empower the field. Join Incode and turn innovation into unstoppable market momentum. Aspects of our Culture: High performance Freedom & responsibility Context, not control Highly aligned, loosely coupled Continuous Feedback Promotions & Development Learn more about Life at Incode ! Benefits & Perks: Flexible Working Hours & Workplace Open Vacation Policy Equal Opportunities: Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you. Applicant Data Privacy: We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.

Location: Remote - France About Airship Airship is trusted by world’s leading brands such as Alaska Airlines, BBC and The Home Depot to drive revenue growth and customer loyalty with exceptional cross-channel customer experiences. Today, brands are challenged to deliver seamless, unified customer experiences across a fragmented array of channels and devices— apps, websites, email, SMS, wallets and more. Airship’s no-code, AI-powered platform was designed with non-technical, growth-focused teams in mind, making it easy to create, test and orchestrate hyper-personalized experiences across all channels. With the ability to easily enrich customer data and rapidly launch growth experiments, Airship enables brands to deliver consistent, meaningful interactions that accelerate conversion and foster deeper customer relationships. We invite you to be part of our journey in building products and delivering services that touch millions of customers around the world every day. To learn more about us, visit www.airship.com , read our blog or follow us on LinkedIn. About the Role As a Backend Java Engineer, you will design, develop, and support distributed systems that combine scale with high reliability. You will work on low-latency services that process continuous event streams and support analytical workloads across terabytes of data. Our backend infrastructure runs on Google Cloud Platform. It uses Java-based microservices and SQL and NoSQL databases. You will join a core engineering team that shapes Airship’s technical foundations and engineering practices. What You'll Do Design data schemas and take ownership of data semantics Maintain, improve, and scale Java APIs and distributed services Investigate performance issues using server metrics, application data, and system behavior Improve the reliability, testability, and maintainability of our backend systems Partner with product and engineering teams on technical design and implementation Help define technical standards across teams Lead and own large-scale releases and technical projects Use AI as a technical assistant to draft development plans and investigate problems or bugs Critically assess AI-generated suggestions for accuracy, security, and suitability Duties and responsibilities described are not comprehensive. Additional tasks may be assigned, or the role’s scope may change based on business needs. What We're Looking For At least three years of experience designing, operating, and maintaining distributed systems Professional fluency in spoken and written French (required) Strong Java development skills Experience with unit testing, code reviews, documentation, and Git-based version control Experience leading significant releases or technical projects Familiarity with continuous integration and continuous delivery practices Strong written and verbal communication skills A collaborative and pragmatic approach to software development A commitment to building reliable, maintainable, and testable systems We'd Be Delighted If You Also Have Experience troubleshooting and improving JVM performance Experience with Google Cloud Platform Knowledge of distributed NoSQL databases or key-value stores Strong Linux administration fundamentals Work Location & Travel Requirements Airship’s ‘Digital First’ approach to work means that for the majority of our roles, work can be performed remotely, either some or most of the time. Airship believes that flexible work contributes to a more productive and more equitable work environment, and that Airshippers are able to collaborate, innovate, and support one another across different locations and timezones. Some roles may require that employees perform their work from a specific location to support business activities, and/or be within proximity to an Airship office location or customer or partner locations, while other roles can be performed 100% remotely. This position is fully remote . Candidates must live in France or the United Kingdom and have the existing right to work in that country.This role may require up to 10% travel based on business needs or as requested by your manager. Compensation Starting pay may vary based on factors such as relevant skills, work experience, market demands, and location. All offers include stock options so employees have the opportunity to benefit from Airship’s success. Benefits & Perks Medical insurance options for you and your dependents Flexible time off, paid holidays, paid parental leave, and paid volunteer time off Support for your overall wellbeing with employer-subsidized mental health and employee wellness programs A digital-first work environment and a monthly stipend to support remote work Mentorship and growth opportunities to build skills and accelerate professional development And more! AI in Recruiting We use artificial intelligence tools in our recruitment process as decision-support tools only. Airship's People Operations team reviews all AI-generated scores and recommendations before making any hiring determination. No applicant is rejected solely on the basis of an AI-generated output. Depending on your location, you may have the right to request human review of any AI-assisted employment decision or to opt out of AI evaluation. To make a request or learn more about how we use AI in hiring, contact privacy@airship.com or visit airship.com/legal . View our EU and UK Candidate Privacy Notice here . ** Please Note: To ensure the security of your personal information, Airship will only contact candidates through email addresses ending with “@airship.com”. Hiring Commitment Airship is committed to fostering a diverse work environment and providing equal employment opportunities to all applicants and employees. We welcome your application and our hiring and employment decisions are made irrespective of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. In alignment with our commitment to equal opportunity, Airship will consider for employment all qualified applicants, including those with criminal histories, in a way that adheres to the principles of fairness and the requirements of local Fair Chance laws, where applicable. By submitting this application, I affirm that the facts set forth in it are true and complete to the best of my knowledge. I understand that if I am employed, false statements, omissions, or misleading information given in my application, interview(s), or in a background check may result in dismissal.

Задачи: — Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants. — Develop recommendation, ranking, classification, and predictive ML models. — Own end-to-end ML pipelines from data processing and training to deployment and monitoring. — Build MLOps / GenAIOps workflows, CI/CD, GPU inference, and cloud-native AI infrastructure. — Work with Product and Engineering to measure business impact through KPIs and experiments. — Improve AI system scalability, reliability, cost, governance, and performance. Требования: — 4–5+ years in AI, ML, or Data Science. — Strong Python, SQL, and production ML experience. — Hands-on experience with LLMs, Transformers, embeddings, RAG, and prompt engineering. — Experience with PyTorch/TensorFlow, Hugging Face, LangChain/LlamaIndex. — Strong knowledge of Docker, Kubernetes, MLflow/W&B, CI/CD, AWS, and Terraform. — Experience with Kafka, ETL pipelines, vector databases, and search systems. — Ability to independently take AI projects from idea to production. Плюсом будет: — Experience with A/B testing, responsible AI, recommendation systems, regulated environments, or team leadership. — Candidate should be able to work on US time schedule. — Good English conversation skill is much much preferred.

Location: New York, NY, United States About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. Overview Fanatics Betting & Gaming (FBG) is on a mission to create the best online sportsbook in the industry. We are seeking an Engineering Manager to lead the team that builds the Balance and Ledger platform: the shared ledger and customer-level balance that holds customer funds across Fanatics. This leader will own systems where accuracy matters most, guiding the team through complex and ambiguous problems while ensuring operational excellence, consistent delivery, and long-term impact. The team sits within the Customer, Accounts & Transactions (CAT) domain and works closely with the Payments team. The Engineering Manager plays a central role in shaping the architecture, processes, and engineering culture of the balance platform. You will lead backend engineers (Java, Spring Boot, AWS) who are responsible for the ledger, the rules that decide where each portion of a balance can be used, and the migration of existing wallets onto a shared platform. At FBG, we're revolutionizing sports betting with cutting-edge technology, a customer-first mindset, and a world-class engineering team. You'll have the opportunity to work on complex, high-scale challenges in an exciting and rapidly growing industry, as part of a team that values innovation, integrity, and excellence. Responsibilities Operational Leadership & Ownership Lead an engineering team that owns the ledger and balance services for customer funds, where correctness, auditability, and availability are key. Drive operational excellence by setting high standards for security, reliability, observability, and on-call practices. Lead the phased migration of existing business wallets onto the shared ledger, including reconciliation, cutover, and rollback planning that avoids customer-visible downtime. Partner with Finance, Legal, and Compliance on fund attribution between businesses, settlement, chargebacks, and audit requirements. Identify and resolve technical and operational risks before they affect the business. Team Performance & Delivery Build and maintain a high-performing engineering team through hiring, coaching, performance management, and career development. Define and execute a roadmap that balances new capabilities, migration work, technical health, and operational load. Plan team capacity honestly, make tradeoffs visible, and hold the team to the commitments it makes. Deliver maintainable, scalable software that handles high transaction volume without losing or double-counting a transaction. Stay close enough to the technical work to review designs, take part in architectural decisions, and unblock engineers. Communication, Stakeholder Management & Product Partnership Communicate clearly with engineers, Product, Finance, Legal, Compliance, and executive stakeholders. Build partnerships with the Payments team and with the teams in other Fanatics businesses that depend on the balance, and agree on ownership boundaries. Write and present clear documentation, including roadmaps, vision documents, design reviews, and incident reviews. Represent the balance platform's technical perspective in broader company planning. Navigating Complexity & Ambiguity Lead the team through open questions that span engineering, finance, and regulation, using structured and data-informed approaches. Bring Product, Legal, Finance, and Engineering viewpoints together to make decisions that hold up over time. Provide clarity as requirements change, new businesses onboard, and regulatory expectations evolve. Travel Must be open to occasional travel to Fanatics Betting & Gaming offices and other locations for conferences, events, meetings, and team building activities. Qualifications We value aptitude and integrity over years of experience, but here are key skills that will make you successful in this role: 3-5+ years of experience managing software engineering teams, with a track record of delivering secure, scalable systems in regulated or high-stakes environments. Background leading teams or contributing in a Java and AWS ecosystem preferred. Experience with ledgers, wallets, balance services, payments, or other financial systems of record is highly desirable. Understanding of transactional consistency, idempotency, and data modeling in systems where accuracy cannot be compromised. Experience with event-driven architectures and message streaming platforms such as Kafka. Experience leading migrations of live, high-traffic systems with minimal customer impact. Ability to balance strategic direction with technical depth. Strong communication skills and the ability to influence across Engineering, Product, Finance, Legal, and Compliance. Experience working through complex, cross-functional, and regulatory challenges. Commitment to operational excellence and to building systems that people can trust. Passion for mentoring and developing engineers, and for fostering a culture of accountability, empathy, and innovation. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $190,000 — $237,500 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Задачи: — Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants. — Develop recommendation, ranking, classification, and predictive ML models. — Own end-to-end ML pipelines from data processing and training to deployment and monitoring. — Build MLOps / GenAIOps workflows, CI/CD, GPU inference, and cloud-native AI infrastructure. — Work with Product and Engineering to measure business impact through KPIs and experiments. — Improve AI system scalability, reliability, cost, governance, and performance. Требования: — 4–5+ years in AI, ML, or Data Science. — Strong Python, SQL, and production ML experience. — Hands-on experience with LLMs, Transformers, embeddings, RAG, and prompt engineering. — Experience with PyTorch/TensorFlow, Hugging Face, LangChain/LlamaIndex. — Strong knowledge of Docker, Kubernetes, MLflow/W&B, CI/CD, AWS, and Terraform. — Experience with Kafka, ETL pipelines, vector databases, and search systems. — Ability to independently take AI projects from idea to production. Плюсы: — Experience with A/B testing, responsible AI, recommendation systems, regulated environments, or team leadership. — Candidate should be able to work on US time schedule. — Good English conversation skill is much much preferred.

About the project The Project is a Smart City video-surveillance platform. The platform handles video conversion, integrates with storage, and uses an event-driven architecture. Deployed across several countries, it focuses on scalability, observability, and reliability. Stack Language & Frameworks: Kotlin, Spring Boot, Spring MVC, Spring Security Database: PostgreSQL, ClickHouse, JPA / Hibernate, Spring Data JPA Security: JWT, Spring Security, RBAC, permission-based authorization Async: Kotlin Coroutines Testing: JUnit, MockK, Testcontainers Infra: Docker, Kubernetes, Linux Monitoring: Prometheus, Grafana, logging, metrics, tracing Docs: OpenAPI / Swagger Responsibilities Develop and maintain backend services in Kotlin / Spring Boot; design and implement REST APIs and business logic; work with PostgreSQL / ClickHouse, JPA / Hibernate and optimize database access; identify and resolve N+1, lazy-loading and transaction-related issues; design and implement RBAC and permission-based authorization; implement tenant- and resource-level access control; work with JWT authentication and Spring Security; deploy and troubleshoot services in Docker / Kubernetes environments; refactor and optimize existing Kotlin code; write unit and integration tests; participate in code reviews and backend architecture decisions. Must-have 2+ years of commercial backend development experience with Kotlin / Spring Boot (Middle+ level); strong Kotlin knowledge and good understanding of Java ecosystem; production experience with Spring Boot / Spring MVC; solid understanding of Spring IoC, DI, proxies and @Transactional; practical experience with PostgreSQL and JPA / Hibernate; understanding of persistence context, lazy loading, N+1 and dirty checking; experience with Spring Security and JWT; good understanding of roles, permissions and RBAC; understanding of resource-level authorization and multi-tenant access control; hands-on experience with Docker, Kubernetes and Linux; ability to analyze and optimize existing code and database queries; solid understanding of collections, algorithmic complexity and basic performance trade-offs. Nice-to-have ClickHouse production experience; Kotlin Coroutines / Flow; experience with high-load or distributed backend systems; ABAC / policy-based authorization experience; Testcontainers; Kafka / RabbitMQ; Kubernetes operations and troubleshooting; Prometheus / Grafana / distributed tracing; OAuth2 / OpenID Connect; experience designing multi-tenant systems. Offer Strong engineering team and real impact on backend architecture; modern Kotlin / Spring stack, CI/CD, Kubernetes and code reviews; opportunity to work on security- and performance-critical backend components; flexible schedule; competitive compensation based on experience and interview performance.

Задачи: - Searching for and attracting candidates for job openings using various sources (job search websites, social media, databases, etc.) - Conducting initial interviews and screening candidates - Collaborating with hiring managers to clarify candidate requirements - Supporting and advising candidates throughout all stages of the recruitment process Требования: - Fluency in English and Russian - Work permit for Cyprus - Strong communication skills and a proactive attitude - Ability to plan your work - Sense of responsibility Будет плюсом: - Successful work experience in this role or in an HR department (preferred) Условия: - Workweek: Monday–Friday, 10:00 a.m. to 7:00 p.m. - Office in downtown Limassol - Friendly, professional team - We cover mobile phone expenses - Work at an international company

We’re looking for an experienced Data Engineer with strong Java/Scala, Apache Flink, and Kafka skills to build and optimize real-time data streaming solutions in an enterprise environment. Key Requirements: — 4+ years of experience with Java/Scala, Flink (or Beam/Spark Streaming), and Kafka — Strong knowledge of event-driven and streaming architectures — Experience with Docker, Kubernetes, CI/CD, and JVM performance tuning — SQL/NoSQL databases and distributed systems troubleshooting — Understanding of security best practices and data protection — Banking or fintech experience is a plus. Conditions: — Relocation support — Medical insurance

The project is a social sports gaming platform that offers free-to-play alternatives to traditional real-money sports betting. It allows sports fans to make predictions, compete for leaderboard positions, earn badges, build in-game status, and participate in sweepstakes promotions and loyalty rewards. The platform focuses on creating a fun, engaging, and community-driven sports gaming experience for users with different levels of interest in sports. Technologies: — Python, Django/FastAPI, asyncio — Distributed systems, Microservices, Event-driven architecture — Apache Kafka — Docker, AWS (or other cloud providers) — SQL, PostgreSQL — CI/CD, Test automation — Prometheus, Grafana What You'll Do: — Take full ownership of backend services from design and development through deployment, maintenance, and continuous improvement — Design, develop, and maintain scalable, high-performance distributed backend services using Python and Django — Architect distributed systems to support millions of users with low latency and high availability — Own critical backend infrastructure components, including APIs, data pipelines, message brokers such as Kafka, and caching — Optimize systems for throughput, latency, fault tolerance, and resilience under heavy load — Implement robust testing strategies, including unit, integration, and performance tests — Drive continuous improvement of development processes and system observability, including monitoring and logging — Collaborate with product, frontend, and DevOps teams to ship reliable features on aggressive timelines — Lead and mentor junior engineers through code reviews, architectural discussions, and knowledge sharing Job Requirements: — 5+ years of experience in Python backend development — Solid experience with Django/FastAPI and asynchronous programming using asyncio — Production experience with Apache Kafka — Strong experience with distributed systems, microservices, or similar architecture — Experience deploying and managing containerized applications using Docker — Familiarity with any cloud provider, preferably AWS — Proficiency with SQL databases, especially PostgreSQL — Experience with CI/CD pipelines and test automation — Knowledge of monitoring and logging tools such as Prometheus, Grafana, or equivalent — Strong problem-solving skills and experience with code reviews — Comfortable working in Agile teams — English level: B2 or higher Nice To Have: — Experience with Kubernetes — Experience working with systems supporting 1M+ users — Experience with NoSQL databases — Exposure to event sourcing or CQRS patterns — Familiarity with frontend technologies such as React — Knowledge of big data tools such as Flink or NiFi — Exposure to infrastructure as code tools such as Terraform — Experience in the sports or betting industries

Location: New York, USA We are looking for a Full Stack .NET Developer with Angular to support the ongoing development of a payments and treasury platform. Key responsibilities include solution design, implementation, release activities, and production support in close collaboration with a distributed development team. Ability to work onsite at the New York City office at least 3 days per week is required. The estimated salary range for this position is USD 115,000 to 130,000 per year. The Payments Platform supports payment and treasury related processes for a global investment management business. The project focuses on enhancing core platform capabilities and supporting ongoing delivery within a hybrid consulting setup. Contribute to solution design for payments and treasury platform enhancements Develop features using .NET and Angular technologies Manage production releases for platform updates Provide developer support for bug fixes Prepare ad hoc reporting as needed Collaborate with the development team in New York City Work with Business Analysts to understand business requirements At least 5 years of hands on experience with .NET Framework or .NET Core Experience with C# and ASP.NET Strong front end development experience with Angular Experience with relational databases, preferably Microsoft SQL Server Strong SQL skills Experience building RESTful API services Understanding of object oriented design and design patterns Experience with software development best practices Experience in unit testing Experience with Agile processes Experience with mocking, refactoring, process communication, and code versioning with Git Ability to discuss and understand business requirements provided by Business Analysts Willingness to work with Java based services and MEAN stack applications and services Ability to adapt to the dynamics and changes of financial software projects Working knowledge of Azure DevOps Knowledge of MuleSoft Experience with SWIFT, payment, or treasury systems

Location: Amsterdam, Netherlands; Ireland, United Kingdom; Munich, Germany; Paris, France; Testelt, Belgium At Allucent™, we are dedicated to helping small-medium biopharmaceutical companies efficiently navigate the complex world of clinical trials to bring life-changing therapies to patients in need across the globe. We are looking for a Sr. Clinical Data Manager (SrCDM) to join our A-team (hybrid*/remote). As a SrCDM at Allucent you lead data management activities of the Allucent Data Management (DM) department. This position manages, coordinates, reviews and approves DM deliverables from database design & set-up, through cleaning and reporting to database locking, ensuring that the completeness, accuracy and consistency of clinical data meets the quality standards and regulatory requirements for analysis and reporting.   This position also provides expertise in relevant data management areas and cross-functional initiatives, including the development of departmental processes, tools, and training of staff. In this role your key tasks will include: Lead and serve as primary contact for DM with all relevant parties both internally (e.g. Clinical Programmers, Data Scientists, Project Management, Clinical Operations/Monitoring, Clinical Monitoring, Biostatistics and other functional groups) and externally (e.g. sponsors, vendors (EDC, external data), and investigational sites) Plan and project the resources required including management of tasks, timelines, risk and quality Monitor tasks against and keep track on budget, forecasts and manage changes of scope, budget, revenue recognition. Develop, review and maintain project-specific DM documents including data management plan (DMP), eCRF specifications, data validation plan (DVP) and external data transfer agreements throughout the lifecycle of the project and ensure adherence to the project requirements Lead and coordinate the development of clinical study database set-up, including eCRF design and database validation requirements Participate in the review of study documents (e.g. protocol, Project Plan, safety plans/manuals and statistical analysis plan), lead and coordinate the review of (electronic) case report forms (eCRFs) Coordinate, oversee and ensure the database User Acceptance Testing (UAT) related tasks are successfully completed Create training materials for EDC users and provide project-specific training as required Lead and oversee the review and validation of clinical data to ensure consistency, accuracy, integrity and completeness Create data cleaning strategy in consultation with applicable functional groups and oversee data releases (such as for DETC/DSMB/IDMC, interim and final locks, updates after lock) Perform and/or coordinate various data transfers and reconciliation activities including (but not limited to) SAE, PK, and (other) external laboratory data Provide project metric reports, status updates, study progress, feedback and advice to project team on site performance issues, data trends and protocol non-compliance Organize and lead Quality Review activities during study Assist in project-related contracts negotiation and contracting process with vendors (EDC, IRT, eCOA) Manage the database maintenance, lock and close-out processes and procedure Participate in conference calls and/or meetings with vendors and sponsors Recognize and solve potential problems and evaluate effectiveness Maintain DM study documentation on an ongoing basis and ensure that all filing is up to date Plan and create necessary documentation to support internal and external audits; may participate in such audits assigned Help to align data management and clinical programming best practices, standards and conventions within the company Provide leadership, expertise and support to other department members. Propose and support initiatives for improving efficiency Actively support to staff learning & development within the company Share relevant information at applicable DM departmental meetings and organize and lead DM-related meetings and discussions Represent the company at professional meetings, webinars or seminars Train and mentor data management staff, support in development of new training material and provide training to relevant staff Participate in the interview process for new recruits Proactively track Data Management related regulatory development trends and updates, in consultation with department Global Head and/or Director, for further alignment and improvement of current processes Contribute as Clinical Data Management Subject Matter Expert (SME) to the evaluation/improvement/drafting of processes and procedures within the Quality Management System Assure good communication and relationships with (future) clients Contribute to and take part in client evaluations and visits Support in preparation of new proposals and budgets for Data Management services Contribute to other areas of business as required Requirements To be successful you will possess: Life science, healthcare degree and/or combination of education and experience Minimum 5 years of relevant work experience as Clinical Data Manager in CRO environment Minimum 5 years of experience in drug development and/or clinical research Thorough knowledge and understanding of ICH-GCP, 21CFR11 data privacy (GDPR/HIPPA) guidelines and awareness of local/regional requirements Good understanding of Medical Terminology Experience with electronic data capture (EDC) software systems and other tools for managing clinical studies, including IRT and eCOA Experience as DM lead on several studies, preferably in different Therapeutic Areas and clinical development phases. Experience in covering all phases of a clinical study (start up, conduct and database lock). Thorough understanding of relational database components and experience in technical data management practices (validation plans, testing, and documentation Experienced in CDISC conventions, i.e., CDASH, TAUG models and hands-on experience implementing these models Experience in developing data management standards Strong written and verbal communication skills including good command of English language Representative, outgoing and client focused Ability to work in a fast-paced challenging environment of a growing company Proficiency with various computer applications such as Word, Excel, and PowerPoint required Administrative excellence Attention to detail, strong technical, analytical and problem-solving skills Strong project management skills Ability to translate guidelines, rules and regulations in clear and usable recommendations Ability to simplify complex issues into understandable concepts Excellent organizational, negotiating and motivational skills Benefits Benefits of working at Allucent include: Comprehensive benefits package per location Competitive salaries per location Departmental Study/Training Budget for furthering professional development Flexible Working hours (within reason) Participation in our enriching Buddy Program as a new or existing employee Internal growth opportunities and career progression Financially rewarding internal employee referral program Eligibility for our Spot Bonus Award Program in recognition of going above and beyond on projects Eligibility for our Loyalty Award Program in recognition of loyalty and commitment of longstanding employees Disclaimers: *Our in-office work policy encourages a dynamic work environment, prescribing 2 days in office per week for employees within reasonable distance from one of our global offices . “The Allucent Talent Acquisition team manages the recruitment and employment process for Allucent (US) LLC and its affiliates (collectively “Allucent”). Allucent does not accept unsolicited resumes from third-party recruiters or uninvited requests for collaboration on any of our open roles. Unsolicited resumes sent to Allucent employees will not obligate Allucent to the future employment of those individuals or potential remuneration to any third-party recruitment agency. Candidates should never be submitted directly to our hiring managers, employees, or human resources.” #LI-BL1

Location: Yerevan, Armenia; Limassol, Cyprus About Our Client Our client operates in the online trading and investment industry, providing retail clients with access to financial markets and tools to support their trading and investment activities. The company serves customers across multiple international markets and offers opportunities for professional development within a dynamic, fast-growing environment. Job Description Our client is seeking a detail-oriented and commercially aware Payment Solutions Specialist to support the identification, evaluation, onboarding and implementation of Payment Service Providers (PSPs), payment methods and payment capabilities across its brands and markets. Working closely with Commercial, Product, Integrations, Engineering, Treasury, Processing, Compliance, Legal, Risk and external payment partners, you will coordinate the end-to-end onboarding process, maintain accurate provider and implementation information, and help ensure new payment solutions are delivered in line with business, operational and governance requirements. The role also supports market and competitor research, commercial preparation, payment performance reporting, and continuous improvement across the PSP lifecycle. Key Responsibilities 1. PSP Sourcing & Market Intelligence Partner with Commercial and relevant operational teams to understand payment coverage requirements across brands and markets and support the payment solutions roadmap. Research PSPs, payment methods, market developments and competitor offerings, gathering information to support provider evaluation and market-expansion discussions. Conduct initial provider outreach and coordinate information gathering and due-diligence requirements within established approval frameworks. Maintain provider databases, market intelligence and onboarding trackers, escalating relevant new provider opportunities to management. 2. PSP Onboarding, Partner Coordination & Integration Readiness Coordinate PSP onboarding from initial engagement through implementation readiness, ensuring actions, approvals, documentation and dependencies are clearly tracked. Act as the day-to-day coordination point between PSPs and internal stakeholders during onboarding, following up with Legal, Compliance, Treasury, Processing, Product, Integrations and Engineering as required. Maintain complete due-diligence records, onboarding approvals and implementation documentation in line with governance requirements. Support preparation of implementation requirements and coordinate handoffs, readiness activities and milestones through to launch. Identify and resolve routine onboarding or administrative issues and escalate material blockers, risks or stakeholder dependencies promptly. Support post-launch handover and routine partner follow-up by ensuring contacts, agreed actions, operational information and records are complete and current. 3. Commercial Support, Reporting & Payment Performance Support commercial discussions by maintaining provider commercials, contractual information, comparison trackers and negotiation materials. Develop a working understanding of PSP pricing, settlement models, fees and contractual terminology and support contract administration or renewal preparation. Maintain onboarding, implementation and provider-status reporting and support tracking of key measures including solution coverage, payment success rates, settlement coverage and cost efficiency. Maintain relevant payment-performance data repositories and dashboards and support analysis of provider, market or competitor trends where required. Provide clear project and status updates, ensuring reporting is accurate, and material delivery risks are escalated. 4. Governance, Stakeholder Management & Continuous Improvement Follow established PSP onboarding governance, approval workflows, controls and documentation standards and ensure required approvals are completed before progression. Support audit, compliance and governance requests and escalate concerns in line with established processes. Build effective relationships across Commercial, Product, Integrations, Engineering, Treasury, Processing, Compliance, Legal, Risk and external PSP stakeholders. Identify process gaps, recurring administrative issues or inefficiencies and contribute to improvements in PSP onboarding, documentation and stakeholder coordination. Support implementation of process, system or governance changes and communicate progress, actions and dependencies clearly. Key Requirements Essential Education & Experience 3–5 years of relevant experience within a payment provider, payment institution, financial institution or closely related payments environment. University degree in Economics, Accounting, Finance, IT, Project Management, Business or a related field. Practical understanding of payment systems, PSPs, acquiring, payment methods, transaction processing and settlement fundamentals. Experience coordinating provider onboarding, due diligence, implementation activities, partner administration or comparable cross-functional payment projects. Strong fluency in English, both written and spoken; additional language capability is advantageous. Technical Skills Good working knowledge of MS Excel, Word, PowerPoint, and Outlook, with the ability to maintain accurate trackers, reports, and supporting documentation. Ability to understand basic PSP commercials, pricing structures, settlement arrangements, and contractual terminology. Strong research and analytical skills, with the ability to gather, organise and interpret provider, market and competitor information. Strong attention to detail and documentation discipline, particularly across onboarding, approvals, due diligence and implementation tracking. Core Skills & Behaviours Strong organisation and prioritisation skills, with the ability to manage multiple onboarding workstreams, actions and competing deadlines. Clear verbal and written communication skills, with confidence following up with internal stakeholders and external providers to drive actions to completion. Proactive problem-solving approach, with the judgement to resolve routine issues independently and escalate complex, risky or blocked matters appropriately. Collaborative working style and ability to build effective relationships across commercial, operational, technical, legal and compliance stakeholders. Self-motivated, result-oriented and comfortable working in a fast-moving environment with changing priorities. Commitment to following governance, risk, compliance and approval requirements accurately and consistently. Desirable Previous experience within the forex/CFD, fintech or brokerage industry. Exposure to PSP contract administration, corporate administration or provider/vendor management processes. Experience supporting payment integrations or working closely with Product, Engineering or Integrations teams.

Наши пожелания к кандидатам: — Профильный опыт работы 3-5 лет — Java Core — Java DataBase Connectivity (JDBC) — Kafka — SQL — Spring Boot — Spring Data — Spring Framework — Spring JDBC — Spring JPA — Spring Test — Spring Web — Автоматизированное тестирование — Анализ технических характеристик программного обеспечения — Использование многопоточного программирования Условия: — Полная занятость — График 5/2 — Формат работы: удалённо