Вакансии

- Проектирование и разработка устойчивых пайплайнов взаимодействия с внешними веб-системами (headless browsers, HTTP, fingerprinting, сессии). - Работа с прокси-инфраструктурой: ротация, мониторинг качества, обработка ограничений.

• Разработка и поддержка backend-сервисов на Python; • Работа с очередями/брокерами: Kafka, RabbitMQ, Redis Streams, Celery;

Location: Minsk Workplace: hybrid We are seeking a Senior Frontend Engineer based in Minsk, Belarus to join our distributed engineering team. In this role, you will be the primary front-end architect responsible for designing and building modular, embeddable analytics and reporting blocks. These reporting UI components will be consumed across multiple client applications, including high-density web dashboards and mobile (Android POS / WebView) environments. You will focus heavily on Vue.js and Micro-Frontend architecture, ensuring our data visualization components are lightweight, highly responsive, independently deployable, and easily integrated by internal and external teams. This position requires 3 days a week in-office work at our Minsk office to collaborate in person with local engineering peers, along with regular remote collaboration across our global teams in Belarus and the U.S. What you will do: Micro-Frontend Architecture & Component Design: Architect, build, and maintain a library of modular, embeddable micro-frontend reporting components using Vue.js (Vue 3, Composition API, Pinia). Design flexible component APIs to allow reporting widgets (charts, data tables, metrics tiles, filters) to be effortlessly embedded across web applications, third-party partner portals, and mobile WebViews. Establish state management, event isolation, dynamic bundle loading, and cross-micro-frontend communication standards. Optimize front-end performance so screens load quickly and charts remain responsive on mobile POS devices with limited processing power and memory. Execution & Cross-Platform Delivery: Write clean, maintainable, highly efficient, and well-tested TypeScript and Vue.js code. Collaborate closely with backend engineers (Golang/ClickHouse team) to define efficient API schemas for streaming and aggregated reporting data. Work with UI/UX designers to create dense, intuitive, and responsive data-entry and reporting layouts suitable for retail store owners. Leverage AI development tools (GitHub Copilot, Claude Code) to accelerate UI development, generate comprehensive test suites, and refactor code efficiently. Collaboration & Culture : Collaborate in daily standups, sprint planning, and retrospectives to support continuous delivery. Communicate effectively across time zones and collaborate seamlessly with global engineering leadership. What we are looking for: 5+ years of commercial front-end development experience , with at least 2 years in a senior role . Vue.js Mastery: Deep expertise in Vue.js (Vue 3, Composition API, Script Setup, Pinia/Vuex, Vuetify UI framework), custom directive design, and component lifecycle management. Micro-Frontend Architecture Experience: Hands-on experience designing or implementing micro-frontend architectures (e.g., Module Federation, single-spa, Web Components, iframe/event-bus bridges). Data Visualization & Complex UI: Proven experience building data-dense dashboards, real-time analytics charts, or complex reporting widgets (using libraries like ECharts, Chart.js, D3, or similar). Cross-Platform / Embedded Web Views: Experience building responsive web applications optimized for embedding in mobile environments (Android WebViews / hybrid mobile apps). Modern Tooling & AI Practice: Proficiency with modern build tools (Vite, Webpack), TypeScript, CSS preprocessors, and automated testing (Vitest, Cypress, Playwright). Active daily use of AI coding tools (Cursor, Copilot, Claude Code) to accelerate development and component design. Strong problem-solving skills and experience working in distributed international teams. Excellent English communication skills. Nice to have: Experience with WebSockets or Server-Sent Events (SSE) for streaming real-time reporting updates. Working knowledge of backend API integration with Golang microservices. We offer you: Hybrid  work opportunity (3 days in the office)! Modern office with free parking in the very center of Minsk. An exciting and challenging job with talented people around. Competitive salary and growth opportunities. Really good hardware. 26 vacation days & 5 fully covered sick days without sick leave required per year. Compensation for professional training, seminars, and conferences. Sports activities reimbursement and loyalty program. Medical insurance. Referral program – get rewarded for helping us grow the team with talented people. Company-supported English classes to enhance your professional growth. IDT Corporation is a global communications company founded in 1990 and headquartered in Newark, New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20 countries, and have over $1.5 billion in revenues.  We are not ”another big IT corporation”— we encourage and support in-house entrepreneurs in developing their ideas into business actions. National Retail Solutions (NRS) is a leading provider of point-of-sale, payment, and digital solutions to tens of thousands of independent retailers across the United States and Canada. As a major player in the retail technology industry, NRS is expanding into next-generation cloud platforms, high-throughput retail ecosystems, and advanced analytics solutions. We are building modern, highly scalable systems designed specifically for high-volume retail operations and real-time reporting. This project represents one of the most significant technical initiatives in NRS’s history and offers a rare opportunity to join at the ground floor of a major strategic expansion.

Location: Metro Manila; Armenia; Cyprus; Georgia; European Union Workplace: Hybrid 📍 Manila, Philippines | Relocation required Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region. 7M+ app downloads. 2M+ monthly active users. 10,000+ partner stores. US$310M+ raised from leading global investors. Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries. If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us. Southeast Asia's fintech moment starts here. About the role: You'll turn a growing stream of key partners requests for marketing campaigns into a clear, managed process — from brief to launch — as the team builds a more structured and manageable calendar of partners marketing activities. You'll also lead end-to-end promotional campaigns, from planning and cross-functional coordination through execution and launch. What you'll do: - Own promo and communication requests end-to-end, from brief to launch and result confirmation. - Own the marketing workflow itself — the Jira board, task breakdown, statuses, deadlines, SLAs, templates, automation, and documentation — not just individual projects. - Work at the intersection of marketing and project/operations management: brief creative functions directly while structuring a complex process with many stakeholders. What you'll own: - Run the Jira board as the single entry point for promo and communication requests, checking brief completeness, timeline realism, and task accuracy. - Break requests into subtasks for design, copywriting, CRM, SMM, website, procurement, legal/permits, and other functions, assign owners, and track dependencies. - Manage each request end-to-end from brief to delivery/publication and closure, including verifying the actual outcome. - Track deadlines and real task status, flag risks early, and escalate stalled tasks. - Maintain a single marketing calendar and keep it in sync with Jira to avoid conflicts across timelines, resources, and overlapping campaigns. - Develop and improve cross-functional processes: SLAs, request templates, checklists, workflows, escalation procedures, documentation, and Jira automation. What makes you a strong fit: - Experience in marketing, marketing operations, or marketing project management, with a working understanding of how marketing campaigns and communications get launched. - End-to-end experience managing projects or marketing requests with many parallel tasks and stakeholders. - Strong cross-functional coordination skills — experience working with creative, business, legal, procurement, CRM/SMM, or similar functions. - Strong structural and process mindset: able to turn a chaotic stream of requests into a clear workflow with defined ownership, timelines, and rules of engagement. - Hands-on experience with Jira or similar task/project management systems, including boards, statuses, workflows, and task breakdown. - Strong stakeholder management: able to gather missing information, manage expectations, hold deadlines, and escalate or redirect requests with clear reasoning. What we offer: Ownership and flexibility - Stock option plan — four-year vesting with a 25% cliff after the first year - Hybrid-first work environment - Company-provided tools and equipment - Office in Bonifacio Global City, Manila — a modern, walkable district at the centre of the Philippines' growing tech scene Health and time off - Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits - Access to an internal mental health support specialist - 22 vacation days, Philippine public holidays, and 15 sick days - 105 days of paid maternity leave and up to 14 days of paid paternity leave for employees relocating to Manila Relocation and family support - Relocation support for you and your family — including flights, two weeks of accommodation, visas, paperwork, and logistics - Reimbursement of eligible pet relocation expenses - USD 2,500 per year for flights home - Baby and family stipends for employees relocating to Manila: USD 1,000 per month for each child under two and USD 500 per month for each child aged two to 18 Growth and team experience - Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications - Company-sponsored trips to Manila to meet and work with your team in person - Regular team offsites, sports activities, and team events - High-performing teams can earn a dedicated beach house week in Southeast Asia We believe strong teams are built by people with different backgrounds, experiences, and points of view. Salmon is an equal opportunity employer, and we make hiring decisions based on skills, experience, and potential.

Location: Europe or US About the SQL Console Team The SQL Console team operates with a great degree of autonomy inside ClickHouse, building the rich web interfaces, interactive query environments, data visualization dashboards, and dynamic AI agents that developers use daily to interact with ClickHouse Cloud. We solve extreme UI performance and scalability challenges that only a handful of tech companies in the world ever reach. We are builder-first, heavily leverage modern AI coding tools like Cursor and Claude, and give engineers end-to-end product ownership. What You Will Do - Build highly interactive React web applications, developer tools, and IDE extensions handling real-time, high-throughput data streaming. - Optimize frontend rendering performance, state management, and DOM virtualization for large-scale datasets and complex visualizations. - Write high-performance Node.js / Express services when API, data streaming, or backend optimizations are required. - Act with a founder mindset: take ambiguous product problems, architect clean solutions, and ship maintainable code with high autonomy. - Leverage modern AI development tools (Cursor, Claude, Codex) as force multipliers to ship features rapidly. What We Are Looking For - React Architecture Depth: Deep expertise in building complex, state-heavy web applications in React (Zustand, Redux, TanStack Query, or Context API). - Rendering & Data Viz Performance: Proven ability to handle high-volume data rendering using DOM virtualization (react-window), Canvas/D3.js, or memoization techniques. - Full Stack Comfort (Node.js): Strong hands-on experience writing asynchronous Node.js / Express microservices and streaming APIs. - Founder / Builder Mindset: Previous experience as a startup founder, side-project creator, or early engineer who thrives in fast-paced environments without rigid specifications. Nice to Haves - Experience building VS Code extensions, web-based IDEs, query editors (Monaco), or developer tools. - Hands-on experience with ClickHouse or columnar real-time databases. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Paris, France 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 client Our client is a leading player in the online gaming and betting industry, operating one of the largest poker and sports betting platforms in Europe. Their platform serves hundreds of thousands of active users monthly and relies on highly scalable, real-time distributed systems designed to handle massive traffic volumes with high availability and low latency. The company combines strong technical excellence with a fast-moving product environment and offers engineers the opportunity to work on complex distributed architecture challenges at scale. About the Role We are looking for an experienced Senior Backend Engineer to join the Poker engineering team and contribute to the d e sign, development , and optimization of highly scalable microservices powering a large-scale real-time gaming platform. You will work on distributed, event-driven systems handling high-throughput traffic and real-time messaging workloads, while collaborating closely with infrastructure, frontend, data, and security teams. This role is ideal for engineers passionate about backend architecture, scalability, distributed systems, and high-performance platforms. Contract : PERMANENT - CDI Model : Onsite, 4 days week! Location : Paris, France (75007) Hiring Process: 4 interviews - HR screening, 2 Technical Interviews, Final Meeting and Offer Discussion NOTE: high preference for candidates who attended CPGE scientifiques — Classes Préparatoires aux Grandes Écoles scientifiques. Key Responsibilities Design and evolve the architecture of distributed backend systems Develop highly available and scalable microservices Build and maintain APIs and data models Work on real-time event-driven systems with high throughput requirements Implement unit, integration, and end-to-end testing Participate in code reviews and technical discussions Deploy and maintain services in AWS environments Monitor, troubleshoot, and optimize platform performance Contribute to architecture and technical documentation Collaborate with Frontend, Data, Infrastructure, Security, and Product teams Requirements Significant experience in developing back-end services on a high-traffic platform (10K+ req/s) Significant experience with load balancing, high availability, scaling, caching, database, and storage issues Proficiency in event-driven distributed architectures Proficiency in Redis or Kafka (data structures, pub/sub, streams, pipelines) Proficiency in relational databases (MySQL or PostgreSQL), modeling, optimization, transactions, and locks Knowledge of JavaScript and the Node.js ecosystem is desirable (microservices rely on Node.js) Knowledge of the cloud environment DevOps culture (CI/CD, Docker, Observability) Mandatory academic background from CPGE scientifiques (Maths Sup / Maths Spé) Benefits Permanent full-time contract (CDI) 4-day work week Profit-sharing and participation programs Company restaurant On-site gym facilities Long-term growth opportunities Modern engineering culture focused on scalability and innovation

-Проектировать и разрабатывать микросервисы ядра на Java 17 / Micronaut (без Spring). -Работать с event-driven-обменом: вся межсервисная связь — через брокер сообщений, async-first, database-per-service, eventual consistency.

Location: Almaty, Kazakhstan Workplace: OnSite Almaty, Kazakhstan · Trust & Safety Engineering Why this role exists An agent needs more than a model response to complete useful work. It needs tools, durable execution, permissions, context, and a way to recover when something fails. You'll build the backend that lets Higgsfield agents carry creative tasks from a user's request to a finished result. We're looking for an engineer we can trust with a problem: work out what is worth building, build it, and carry it through to users. What you'll actually do - Agent execution: build orchestration for multi-step tasks, tool calls, streaming updates, and cancellation. - Durable workflows: implement checkpoints, resumability, retries, and recovery without duplicating actions. - Tools and integrations: connect agents to generation, editing, and external services through clear, validated interfaces. - Execution boundaries: enforce user permissions, tenant isolation, resource limits, and approval requirements for consequential actions. - Evaluation and observability: trace failures, build regression cases, and improve task completion, latency, and cost. - Ownership: understand a real user task → define success and build evaluation cases → scope the simplest useful workflow → ship → measure completion, reliability, and dollar impact → improve from failed runs. Our release cycle is days, not quarters, so your first shipped agent capability happens fast. Must-haves 1. You've taken a difficult problem from an unclear starting point to a working system used in production, and can explain your own decisions, contribution, and results. 2. You can build reliable agent execution: state machines, concurrency, queues, recovery, model APIs, secure tool calls, and repeatable evaluations. You learn unfamiliar tools quickly and understand what you ship. 3. You choose the next steps, remove blockers, and ask for help when needed. You cut scope to test an idea, adapt from evidence, and keep working through difficult problems. 4. You investigate real user tasks and failed agent runs, use feedback to choose what to automate, and stop workflows that do not help users finish their work. 5. You take feedback, change your mind when the evidence changes, and do the work the team needs. You share knowledge and responsibility so others can operate and extend what you build. Who this is not for - You prefer deterministic application behavior without investigating model uncertainty. - You prefer prototyping without owning evaluation, recovery, and production reliability. Nice to have - Production agents, workflow engines, or developer tools. - High-throughput systems with heavy traffic, large data volumes, or many long-running jobs. - Agent context management, memory, subagents, or parallel tool calls. - Sandboxed execution and scoped authorization. - Multimodal workflows involving images, video, or audio. Interview process 1. Recruiter screen: role expectations, logistics, and fit. 2. Technical interview: a difficult system you shipped, what you personally decided and built, and how your work made the team more capable without leaving it dependent on you. 3. Additional technical interview, if needed: a deeper discussion of technical skills and open questions. 4. Product fit interview: scope a useful tool-using workflow, evaluate failures, and explain when user feedback would lead you to change or stop it. 5. Offer. What we offer Competitive base in USD, equity, relocation support, and ownership of systems that turn AI capabilities into completed creative work.

-разработка и оптимизация ETL/ELT-конвейеров для обработки больших данных. -настройка и администрирование Hadoop/Spark-инфраструктуры (HDFS, YARN, Hive, HBase).

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE Sentry helps developers identify and resolve issues in their applications. Behind our products is a complex foundation of distributed systems, cloud infrastructure, and services that must perform reliably at scale. Our Platform and Infrastructure Engineering teams build and operate the systems that power Sentry. From cloud infrastructure, distributed storage, and real-time event processing to service reliability, scalability, and developer productivity, these teams provide the technical foundation that enables our products and engineering organization to grow. We're looking for Staff Software Engineers to tackle some of Sentry's most challenging infrastructure and distributed systems problems. Depending on your experience and interests, you might work on scaling our real-time event processing systems, improving the reliability and efficiency of our cloud infrastructure, or designing and building foundational services that support our products. In this role, you'll have the autonomy to identify important technical problems, lead solutions from design through production, and influence engineering decisions beyond your immediate team. We're looking for engineers who enjoy solving difficult problems, remain hands-on with the systems they build, and take pride in delivering meaningful technical impact. IN THIS ROLE, YOU WILL - Design, build, and operate reliable, scalable distributed systems that support Sentry's products and engineering teams. - Own technically complex projects from identifying problems and defining solutions through implementation, deployment, and production operations. - Solve challenging engineering problems involving system architecture, performance, scalability, reliability, and operational efficiency. - Make thoughtful architectural decisions, evaluating tradeoffs between performance, complexity, maintainability, and long-term scalability. - Proactively identify technical challenges and opportunities for improvement, including problems without clearly defined requirements or established solutions. - Stay hands-on with engineering, contributing production-quality code, reviewing designs, and helping resolve complex technical issues. - Collaborate with engineers and technical leaders across teams to influence technical direction, establish engineering standards, and drive improvements. - Share technical knowledge, mentor other engineers, and help strengthen engineering practices across the organization. YOU'LL LOVE THIS JOB IF YOU - Enjoy solving difficult technical problems where the solution isn't immediately obvious. - Like designing and building systems that operate reliably at scale. - Thrive on taking ownership of complex engineering challenges, from initial design through production. - Balance hands-on engineering with technical leadership and enjoy influencing decisions without formal authority. - Think critically about architectural tradeoffs and favor pragmatic, maintainable solutions over unnecessary complexity. - Take initiative in identifying important problems rather than waiting for projects to be assigned. - Enjoy collaborating with talented engineers, sharing knowledge, and raising the bar for engineering quality. - Find satisfaction in shipping meaningful improvements and seeing the impact of your work in production. QUALIFICATIONS - 8+ years of software engineering experience, with a strong background in designing, building, and operating distributed systems or infrastructure. - Strong software engineering fundamentals and proficiency in at least one programming language, such as Python, Go, Java, or a comparable language. - Experience designing and implementing technically complex systems, with a track record of delivering meaningful engineering outcomes. - Hands-on experience with cloud infrastructure and services, such as AWS, GCP, or Azure. - Demonstrated ability to independently own complex technical projects, navigate ambiguity, and drive solutions from design through production. - Deep technical experience in one or more of the following areas: - Cloud Infrastructure: Kubernetes, container orchestration, Terraform, infrastructure as code, networking, or service discovery. - Distributed Systems: Distributed architectures, fault tolerance, consistency, replication, or high-availability systems. - Data Infrastructure: Kafka, real-time streaming, distributed storage, OLAP/OLTP databases, or large-scale data processing. - Infrastructure Reliability: Observability, performance optimization, capacity planning, incident response, or production operations. - Developer Infrastructure: CI/CD systems, build and deployment infrastructure, developer environments, or internal developer platforms. - Strong architectural judgment, with the ability to evaluate technical tradeoffs and design systems for reliability, performance, and long-term maintainability. - Ability to communicate complex technical concepts clearly, collaborate effectively, and influence technical decisions across engineering teams. - Experience improving engineering practices, sharing technical knowledge, or helping other engineers grow. We recognize that strong engineers come from different backgrounds. You don't need experience in every technology or domain listed above. We're interested in candidates who bring meaningful technical depth, strong engineering judgment, and a track record of solving challenging problems. The base salary range that Sentry reasonably expects to pay for this position is $240,000 to $400,000, plus an annual performance bonus of up to 15% of base salary. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: London, United Kingdom Workplace: hybrid About The Role: We're looking for a Lead/Head of Transaction Monitoring (Enterprise) to own how Paysend detects suspicious activity across all products, corridors and payment methods, and to lead the TM Enterprise Program that modernises it. Objective and Key Results Objective (Q4 2026): AI-Powered Enterprise Financial Crime: build scalable, risk-based transaction monitoring Enterprise clients can submit legitimate transactions with minimal friction, suspicious transactions are correctly identified and declined, unnecessary RFIs are minimised, and transaction-monitoring performance is measurable and continuously optimised. Metrics clearly separate client-generated risk, Financial Crime controls and downstream payout execution, so TM declines are not confused with prefunding, network or technical failures, and stages reconcile without double-counting. Key Results you will be accountable for % Confirmed Fraud Rate of Enterprise-Initiated Transactions: Confirmed fraud transactions divided by total enterprise-initiated transactions, broken down by client, typology, transaction type and destination, and confirmed vs. suspected fraud. Gives clients an evidence-based view of the quality of the volume they submit. % Legitimate Transaction Straight-Through Processing Rate: Legitimate transactions processed without an RFI divided by total legitimate transactions submitted. The central measure of balance between risk protection and customer friction. % Enterprise TM Decision Quality: Combines confirmed-fraud prevention rate (stopped before payout), false-positive rate, and control coverage of material enterprise TM risks by documented, approved and tested controls. % Enterprise TM Investigation Efficiency: Median RFI time to resolution, % resolved within SLA, % with a clear documented decision, % outstanding beyond SLA, and RFI backlog and ageing. What you will own KRs and Initiatives: Own and deliver the Enterprise TM KRs and Initiatives, from definition and prioritisation through delivery, measurement and reporting to senior leadership. TM Enterprise Program: Lead the TM Enterprise Program end to end: scope, roadmap, milestones, budget, dependencies, risks and governance. TM framework: Own the enterprise-wide TM framework: scenario and rule coverage, thresholds, risk-based calibration, model governance and the rule lifecycle (design, test, tune, retire). Effectiveness and KPIs: Own the KPI and MI framework for detection effectiveness, alert quality, false positives, SAR/STR conversion, alert volumes, SLAs and team productivity. Regulatory assurance: Ensure TM meets AML/CTF and regulatory expectations across all licensed jurisdictions, and own TM readiness for audits, regulator reviews and partner due diligence. Team leadership: Build, lead and develop a high-performing TM team spanning analysts, rule owners and data/automation specialists. What you'll do Define strategy and OKRs: Set the enterprise TM strategy and multi-year roadmap, aligned to company OKRs and Paysend's financial crime risk appetite; translate it into measurable KRs and a prioritised initiative portfolio. Drive delivery: Lead initiative delivery as accountable owner: run planning, steering committees and status reporting; remove blockers, manage trade-offs and escalate material risks early. Strengthen detection: Oversee translation of typologies, risk assessments and regulatory change into detection scenarios and rules; ensure backtesting, simulation and impact measurement happen before release. Optimise performance: Drive tuning using alert, case and SAR feedback to improve catch rate and reduce noise, with clear trade-off thinking across risk, cost and customer friction. Automate and scale: Replace manual analysis and reporting with scalable pipelines and self-serve dashboards; apply advanced analytics and ML-based anomaly detection where they add value. Collaborate: Partner across the business: Product and Engineering: requirements, data needs, TM platform and rules-engine enhancements. Compliance and MLRO: policy alignment, risk assessments, regulatory reporting, audits and regulator engagement. Network and Partners: Visa and Mastercard program requirements, thresholds and monitoring; bank and partner due diligence. Operations and Investigations: alert-handling workflow, feedback loops, capacity and quality. Data and Analytics: data quality, lineage, model validation and reporting. Govern and report: Run the TM governance cadence: rule-change approvals, performance reviews, documented decisions and rationale, and regular reporting to senior management and committees. Stay ahead of regulation: Stay current on AML/CTF regulation, FATF guidance, PSD2/SCA and card scheme rules, and embed changes into controls and the roadmap. Manage vendors and budget: Manage vendor, tooling and budget for TM platforms, data sources and analytics. What you'll need Substantial experience in transaction monitoring and AML/financial crime, ideally in fintech, payments, money transfer or high-volume B2C, including leading a TM function or a large TM transformation. Proven track record owning OKRs/KRs and delivering multi-stream programs or initiatives, with strong planning, prioritisation and senior stakeholder management. Deep knowledge of TM scenario and rule design, tuning, threshold calibration, model governance and effectiveness testing, including backtesting and below-the-line testing. Strong understanding of AML/CTF regulation and expectations (e.g., FCA, EU AMLD/AMLR, FATF) and experience supporting regulator and auditor reviews across multiple jurisdictions. Solid grasp of fraud and financial crime typologies in cross-border payments, and awareness of emerging trends. Working knowledge of Visa and Mastercard monitoring programs and payment methods (cards, tokenization, Apple Pay, Google Pay, A2A, wallets). Data fluency: able to interrogate SQL/BI outputs, define KPIs and challenge analytical approaches; understanding of modern data platforms and automation. Experience leading and developing teams, including hiring, coaching and building clear ownership models. Ownership mindset: you spot problems, propose solutions and see them through without waiting to be asked. Clear communication and documentation, able to explain risk and data-driven decisions to technical and non-technical stakeholders, including executives. Nice to have Experience with rules engines, decisioning platforms or TM vendor solutions (selection, implementation, migration). Experience applying advanced anomaly detection (statistical, unsupervised or machine learning) to AML and fraud use cases, including model risk management. Hands-on SQL/Python background and experience building BI dashboards (Looker, Tableau, Power BI or similar). Familiarity with how financial crime operations run day to day, including case management and SAR/STR filing. Relevant certifications such as ACAMS, ICA or equivalent. What you'll achieve First 3 months Understand our products, corridors, TM framework, rules engine, data landscape and current KR/Initiative portfolio. Assess current TM coverage, effectiveness and regulatory exposure; identify the highest-priority gaps. Build relationships across Compliance, Product, Engineering, Network, Operations and Data. Confirm the TM Enterprise Program plan, governance and a baselined KR scorecard. By 6 months Run the TM Enterprise Program on an agreed roadmap with clear ownership, milestones and steering cadence. Launch a reliable KPI and MI suite for detection effectiveness, alert quality and team throughput. Deliver the first material coverage and tuning improvements, with documented performance reviews. Have the team structure and key hires in place. By 12 months Deliver the committed KRs and Initiatives, with measurable gains in detection effectiveness, false positive rate and operational efficiency. Be the recognised owner of enterprise TM, with a clean audit and regulator-ready evidence trail. Have introduced new detection approaches and automation that strengthen our compliance posture and scale with growth. Why Join Paysend? Make a Global Impact: Join a company that is transforming how people and businesses move money around the world. Your work will contribute to products and services that help millions of customers stay connected globally. Own Meaningful Outcomes: We empower our people to take ownership, make decisions, and drive real impact. You'll have the opportunity to shape solutions, challenge the status quo, and see the results of your work firsthand. Grow with Us: As a fast-growing global fintech, we offer opportunities to learn, develop new skills, take on new challenges, and advance your career across functions and geographies. Collaborate with Exceptional People: Work alongside talented colleagues from diverse backgrounds and disciplines who are united by a shared ambition to build, innovate, and deliver great outcomes for our customers. Move Fast and Make Things Happen: We value action, curiosity, and continuous improvement. You'll be part of a culture that encourages experimentation, embraces change, and focuses on delivering meaningful results. Be Part of Our Journey: We're building the future of the global money movement. Join us at an exciting stage of growth where your ideas, expertise, and contributions can help shape what's next.

💎 Авиасейлс ищет Data Engineer для подключения новых источников данных и разработки/модернизации data pipelines, настройки и поддержки аналитического окружения, обмена данными с внешними и внутренними сервисами, совместной модернизации дата‑платформы с core‑командой, работы в паре с продуктовым дата‑инженером;

Location: Ireland, Dublin Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Engineering Manager – Enterprise Data Engineering We are looking for an experienced Engineering Manager to lead a team of Enterprise Data Engineers delivering trusted, scalable and reusable data capabilities across Sony Interactive Entertainment (SIE). The role combines people leadership, technical direction, delivery ownership and operational accountability for enterprise data products, pipelines and integrations. Working with global engineering, architecture, platform, security and business teams, you will enable enterprise priorities spanning Finance, Supply Chain, IT Operations, People & Places and Sales & Operations. You will balance transformation delivery with the reliability, maintainability and continuous improvement of existing data services. Responsibilities Lead, coach and grow the engineering team · Manage performance, development, recruitment and succession; create clear goals, regular feedback and meaningful career plans. · Build a culture of ownership, inclusion, engineering discipline, collaboration and continuous learning. · Provide hands-on technical guidance when needed while delegating decisions and developing senior engineering capability. Own delivery, capacity and execution · Translate enterprise roadmaps into executable plans, milestones, dependencies and measurable outcomes; balance project commitments with run-the-business obligations. · Proactively forecast capacity and skills needs, allocate resources, manage competing priorities and identify delivery trade-offs. · Maintain clear visibility of progress, blockers and risks; escalate early with options and recommendations, and communicate confidently to leadership and stakeholders. · Drive predictable delivery through appropriate agile practices, estimation, design reviews, testing, release management and continuous improvement. Provide technical leadership for enterprise data engineering · Guide architecture and implementation of secure, scalable batch and streaming ingestion, ETL/ELT pipelines, transformations and enterprise integrations. · Champion maintainable engineering patterns across Snowflake, Databricks, Python/PySpark, SQL, dbt and relevant orchestration and integration technologies. · Ensure data models and domain-owned data products are reusable, discoverable, documented and aligned with enterprise standards. · Embed source control, peer review, automated testing, CI/CD, infrastructure-as-code where appropriate, and sound software engineering practices. Own operational quality and production readiness · Be accountable for service reliability, observability, data freshness, data quality, lineage, access controls and operational support for team-owned pipelines and products. · Establish effective monitoring, alerting, incident response, root-cause analysis, recovery procedures and reduction of recurring support effort. · Partner with platform, architecture, security and governance teams on production readiness, privacy, compliance, cost and performance optimisation. Partner across the enterprise · Work with domain and transformation leaders to understand business outcomes, shape requirements and prioritise sustainable data engineering solutions. · Coordinate dependencies with data platform, analytics, AI/ML, application and infrastructure teams to enable end-to-end delivery. · Represent the team’s architecture, products, delivery status, risks and impact in technical and executive forums. Skills and Qualifications · 3+ years of people management or engineering leadership experience, including performance management, coaching and leading delivery teams. · 8+ years of relevant software, data platform or data engineering experience, with demonstrated ownership of production-grade enterprise data solutions. · Strong understanding of data architecture, ETL/ELT, data warehousing/lakehouse patterns, dimensional modelling, data contracts and reusable data products. · Practical technical experience with SQL and Python; strong familiarity with Snowflake, Databricks and PySpark, and experience with dbt or comparable transformation frameworks. · Experience with orchestration, API/file-based integrations, cloud services (preferably AWS), Git-based development, automated testing and CI/CD. · Experience operating business-critical data pipelines, including monitoring, incident management, data quality, security and performance optimisation. · Ability to plan team capacity, manage a portfolio of priorities, resolve cross-team dependencies and provide transparent, proactive delivery reporting. · Excellent stakeholder management and communication skills across engineering, business and senior leadership; undergraduate degree or equivalent experience. Desirable Experience ·  Enterprise Finance or Supply Chain data, including SAP and planning-system integrations (such as Anaplan or Adaptive). · Data governance, metadata/lineage, master data, privacy classification and regulated or sensitive enterprise datasets. · Enabling analytics, machine learning or AI-ready data products and applying AI-assisted engineering practices responsibly. · Working with geographically distributed teams and large-scale enterprise transformation programmes. Salary: €101,000 - €151,400 Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

- опыт Dart и Flutter от 2 лет;

- Проектировать, внедрять и поддерживать CI/CD-пайплайны на базе GitLab CI/CD. - Развёртывать, администрировать и масштабировать Kubernetes-кластеры.

Location: United States, Remote Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Staff Software Engineer – Data Do you want to join a team of talented engineers building the next generation of real-time data platforms that power analytics and data-driven experiences across PlayStation? As part of our Data Platform team, you will play a key technical leadership role in designing and evolving the Real-Time Analytics Platform (RTAP), enabling high-throughput, low-latency analytics and stream processing at PlayStation scale. The Software Engineers within our Platform Engineering Group design, build, document, and operate large-scale distributed data platforms that support real-time and near real-time analytics across PlayStation. You will solve complex distributed systems challenges, evolve our streaming and analytics architecture, integrate AI-powered platform capabilities, and improve scalability, reliability, performance, and developer productivity. We’re looking for someone who is passionate about distributed systems, real-time analytics, and building scalable data platforms. You will work closely with Engineering, Product, Infrastructure, Security, and Data Engineering teams to shape technical strategy, influence architecture across organizations, mentor engineers, and help drive the long-term evolution of PlayStation’s data platform. Responsibilities · Design, build, and operate large-scale distributed data systems that power real-time and near real-time analytics,, and data-driven applications across PlayStation. · Lead the architecture and evolution of RTAP’s stream processing and analytics platforms, improving scalability, reliability, performance, and developer productivity. · Own critical platform capabilities end-to-end from architecture and implementation through production operations, performance optimization, reliability, and lifecycle management. · Build and optimize distributed data services using technologies such as Apache Flink, Spark Structured Streaming, ClickHouse, and Apache Druid to support high-throughput, low-latency workloads. · Partner with Data Engineering teams to integrate batch and streaming workloads using modern lakehouse architectures and build interoperable, scalable data platforms. · Build AI-powered capabilities to automate engineering workflows, improve data quality, simplify platform operations, accelerate troubleshooting, and enhance developer productivity. · Establish technical standards and engineering best practices for distributed systems, stream processing, data modeling, query optimization and platform reliability. · Mentor engineers across the organization by reviewing architecture, designs, and code while raising the technical bar through coaching and technical leadership. · Partner with Product, Infrastructure, Security, and Platform Engineering teams to define long-term technical strategy and deliver scalable platform capabilities aligned with business priorities. · Investigate and resolve complex production challenges involving high-throughput, low-latency distributed systems, ensuring high availability and operational excellence. · Participate in the team's production support and on-call rotation, leading incident response, conducting root-cause analysis, and implementing reliability improvements that strengthen the platform over time · Evaluate emerging technologies and distributed data platforms, recommending investments that improve scalability, reliability, developer productivity, and cost efficiency. Requirements · Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. · 8+ years of experience designing and building large-scale distributed systems, with expertise in real-time data processing, analytics, or data platform engineering. · Strong proficiency in Python , with experience building production-grade distributed systems and data processing applications. Experience with Scala is beneficial for supporting and evolving existing platform components. · Hands-on expertise designing and operating large-scale stream processing applications using Apache Flink , Apache Spark Structured Streaming , or equivalent distributed streaming technologies. · Production experience designing, operating, and optimizing distributed analytics platforms using ClickHouse , Apache Druid , or equivalent high-performance OLAP/analytics databases, including query optimization, data modeling, and performance tuning at scale. · Experience building and consuming event-driven data pipelines using AWS MSK , Apache Kafka , or equivalent messaging platforms, with a focus on developing reliable, scalable data processing applications. · Experience applying AI/ML techniques and modern AI tooling to automate engineering workflows, improve data pipelines, simplify platform operations, and enhance developer productivity. · Strong systems design skills with the ability to evaluate architectural trade-offs across scalability, latency, throughput, consistency, reliability, and cost. · Demonstrated technical leadership through architecture ownership, mentoring engineers, and influencing technical decisions across multiple teams. Nice to Have · Experience with Databricks , Apache Iceberg , or modern lakehouse architectures, with the ability to design and integrate batch and streaming workloads into scalable, production-grade data platforms. · Experience building or operating multi-tenant, self-service data platforms supporting multiple engineering organizations. · Experience collaborating with globally distributed engineering teams across multiple organizations and time zones to deliver shared platform capabilities and drive technical alignment. Your First 90 Days 30 Days: Develop a strong understanding of the platform’s architecture, capabilities, engineering practices, and roadmap.Begin contributing to architecture discussions, feature development, design reviews, and production support.Build relationships within the team as well as across  the Data Platform organization. 60 Days: Take technical ownership of a major platform capability or architectural area. Identify opportunities to improve scalability, performance, reliability, or developer productivity.Collaborate with Data Engineering, Infrastructure, Product, and other partner teams on cross-platform initiatives. 90 Days: Lead the design and delivery of key roadmap initiatives for the team..Influence technical direction across teams and mentor engineers on distributed systems and platform engineering best practices.Establish clear architectural recommendations for the next phase of the platform’s evolution. In 90 days, you will have a detailed understanding of the Real-Time Analytics Platform and its role within PlayStation’s broader data ecosystem. You will be comfortable owning complex distributed systems initiatives, partnering closely with Product and Engineering teams, and driving large-scale solutions from architecture through production delivery. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $198,200 — $297,400 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Чем предстоит заниматься. • Разрабатывать и сопровождать микросервисы на Java и Spring Boot.

-реализовывать высоконагруженные конвейеры обработки данных для обеспечения надежной и бесперебойной репликации данных из ИТ-систем. -реализовывать комплексные задачи по подготовке данных в целевых аналитических хранилищах (DataLake, SandBox, FeatureStore) для построения признаков, необходимых для разработки моделей машинного обучения.