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Location: Worldwide Workplace: remote RequirementsPHP & Symfony: Strong Senior-level backend experience with PHP and Symfony, building and designing complex distributed systems;Architecture & API Contracts: Experience evolving API contracts with GraphQL, OpenAPI, Protobuf/gRPC, or Avro, including compatibility, deprecation, and breaking changes;Infrastructure & CI/CD: Hands-on experience with Kubernetes, Helm, and GitLab CI or similar tools for reliable application delivery;Messaging & Observability: Strong experience with Kafka, OpenTelemetry, metrics, tracing, and Grafana for scalable and observable services;Data & Modern Architecture: Experience with GraphQL and databases such as PostgreSQL or ClickHouse. GraphQL Federation will be an advantage;Ownership & Collaboration: Proactive and resilient approach, strong communication skills, and the ability to work effectively across teams and share technical expertise;AI & Modern Technologies: Experience using AI-powered development tools to improve engineering productivity, documentation, and technical decision-making.ResponsibilitiesBackend Development: Design and develop scalable PHP/Symfony services for complex, high-load systems;Architecture: Define technical solutions and evolve service architecture to ensure scalability, reliability, and maintainability;API Contracts: Design and evolve service contracts while managing compatibility, deprecation, and breaking changes;Infrastructure & Reliability: Work with Kubernetes, Helm, Kafka, CI/CD, and observability tools to ensure stable production services;Technical Documentation: Create and maintain clear architecture, API, and technical documentation to support cross-team collaboration;Engineering Collaboration: Work closely with other teams, share expertise, and leverage AI tools to improve engineering practices and delivery.We offerHigh salary (plus performance bonuses and salary revision);Remote work;Work schedule: Mon-Fri (8 hours per day) with flexible starting hours;24 days holiday leave;Corporate English lessons;Exciting work challenges that allow you to grow to your full potential;A strong team of like-minded professionals who will be by your side to accomplish ambitious projects, stimulate your professional development and bring experience.

Location: Berlin, Germany About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Zurich, Switzerland About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: London, United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Cyprus Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat. What You Will Be Doing Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment. Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle. Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts. Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production. Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred. Who You Are At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI). Strong in SQL and Python, and with cloud data platforms (e.g. Databricks). Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity. Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus. Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting. A quantitative education (math, engineering, economics, or CS) and full working proficiency in English. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Latvia; Serbia; Poland; Georgia; Remote - Slovakia; Remote — Romania; Europe; Lithuania; Ukraine; Estonia; Limassol; Slovenia Workplace: Remote REMOTE | EUROPE (CET/EET ±2H) | B2B CONTRACT | REPORTS TO THE CEO About the company Our client is an established, profitable fintech operating at the intersection of crypto and traditional payments. It runs a consumer on/off-ramp platform and a fast-growing B2B infrastructure business: APIs and white-label solutions that let exchanges, neobanks, PSPs, wallets and other platforms embed regulated crypto and fiat services. The company is authorised under MiCA and PSD2 in the EU and is actively expanding its licence footprint, including e-money authorisations in Europe and the UK. The culture is owner-led, high-ownership and low-bureaucracy: decisions are made quickly and close to the founders. About the role This is a senior, hands-on leadership role. You will be the company’s Head of Risk, a member of the leadership team reporting directly to the CEO. The function starts as a one-person department and may grow as it matures. A foundation already exists: a risk register, risk appetite statement, DORA vendor risk work, and governance drafts. Your mission is to turn it into a proactive, decision-oriented risk function. That means bringing risk to leadership before it becomes a problem, and being a fast, credible partner to the commercial and product teams rather than a bottleneck. What you will own - Enterprise risk framework: risk taxonomy, risk appetite and tolerances, risk register, escalation policy and the three-lines-of-defence model. - Risk reporting: regular risk dashboards for the CEO and leadership, board/committee reporting, and risk-related regulatory reporting. - DORA: ICT risk management, incident classification and reporting, third-party ICT risk and the Register of Information, with a hard regulatory deadline ahead. - Licensing: operational risk, capital adequacy, liquidity and safeguarding frameworks for new e-money authorisations in parallel jurisdictions. - B2B partner and counterparty risk: onboarding risk scoring, risk-tiered monitoring, risk sign-off on material partnerships, and concentration risk. - Financial and market risk, jointly with Finance: crypto price exposure, settlement and liquidity risk, counterparty exposure to liquidity providers and banking partners, and capital adequacy monitoring. - Operational resilience: business continuity, disaster recovery, vendor risk and major incident reporting. - Fraud risk appetite: acceptable loss rates by channel, product and geography, unified across the teams that currently share it. - Product risk: risk assessment and launch gating for new products and markets, involved early rather than at the finish line. - Risk governance and culture: running the risk committee and building risk ownership across business units. What we are looking for - 8-10+ years in financial services or fintech risk, including at least 3–4 years at a senior risk leadership level (Head of Risk, VP Risk, or equivalent). A CRO title is not required, but ownership at that level is. - Direct experience in a regulated fintech, payment institution, EMI, PSP, or crypto business. Comfort with pace and lean structures is essential. - Hands-on experience with at least one of: DORA ICT risk, MiCA (CASP) risk requirements, or PSD2 payment institution operational and security risk. UK FCA operational resilience experience is a strong equivalent. - A clear track record of owning risk outcomes, not only advising on them. - The ability to give a clear risk position and recommendation under incomplete information, and to hold that position under pressure from senior stakeholders. - The ability to communicate risk in business language, in terms of impact, cost and options. - Fluent professional English and Russian language. Nice to have - Previous Head of Risk / CRO role at a regulated fintech, EMI, PSP or crypto company. - Experience building a risk function from scratch in a scaling business. - Experience with crypto custody risk, MiCA capital requirements, or Travel Rule implementation. - Third-party / vendor risk management at scale, especially in B2B or embedded-finance models. - Experience chairing a risk committee or reporting to a board. - FRM, PRM, or a comparable qualification. What’s on offer - A seat on the leadership team and direct access to the founders. - Real ownership: you shape the risk function and its role in the business. - A remote-first setup, with periodic in-person time at the European HQ. - Long-term B2B contract with performance- and OKR-linked bonus. - 20 paid working days off per year, paid sick leave, health insurance, a professional development budget, and team events.

Location: Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are building a high-performance AI inference platform for developer-native teams running latency- and cost-sensitive workloads at scale. In AI infrastructure, PoC success does not guarantee production success. This role ensures that what we commit to is scalable, efficient, and aligned with platform strategy. We are looking for a Senior Sales Engineer to become a foundational technical partner to our customers and a force multiplier for Sales and Engineering. You will shape complex AI workloads from first discovery through production feasibility validation, ensuring technical rigor, economic viability, and scalable architecture decisions. You will operate at the intersection of customer ambition, engineering reality, and commercial growth, influencing: Revenue quality Engineering focus Product evolution Customer trust at scale You’re welcome to work remotely from Europe. Your responsibilities will include: Strategic Technical Discovery Lead deep technical discovery with engineering teams and technical founders Understand model requirements, traffic expectations, latency constraints, GPU economics, and system dependencies Translate customer ambition into production-feasible architectures Identify hidden technical risks early Commercial Acceleration Partner tightly with Sales on strategic deals Influence deal strategy through architectural clarity Prevent misaligned commitments before engineering allocation Increase PoC-to-production conversion by ensuring technical realism PoC Architecture & Validation Define measurable success criteria (latency, TTFT, throughput, cost envelope) Classify workload complexity and required optimization depth Align appropriate resources (ML Solution Architects, engineering, GPU capacity, etc.) Drive structured Go / No-Go decisions Prevent uncontrolled customization or hidden R&D Pattern Recognition & Platform Leverage Identify recurring configuration patterns across customers Quantify demand for advanced optimizations (quantization, speculative decoding, etc.) Surface structured insights to Product and Engineering Help evolve platform capabilities based on real workload data We expect you to have: Deep understanding of AI inference systems and GPU-backed infrastructure Experience with LLM workloads and performance-sensitive environments Experience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM). Ability to reason about latency, throughput, cost, and architecture tradeoffs Strong customer presence with engineering-first organizations Comfort challenging assumptions and pushing back constructively Commercial awareness – you understand that engineering time is a strategic resource Preferred technical stack : Programming Languages– Python Frameworks and Libraries– vLLM, SGLang, TensorRT-LLM, OpenAI/Anthropic SDKs Frameworks for Agentic Pipelines : Langchain / Langsmith / smolagents / equivalent API and Web Frameworks– FastAPI, Flask MLOps and DevOps tools– Kubernetes (K8s), Docker, Git Cloud Platforms– AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML) What success looks like : Strategic deals are technically sound before engineering engagement PoCs are clearly scoped and economically justified Engineering capacity is allocated predictably Conversion to production improves Customers view you as a trusted architectural advisor Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Berlin Office; Germany Workplace: Remote The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: - Cultivated a community of more than 650,000 active developers and builders - Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects - Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us. ABOUT THE ROLE Your goal will be to build DACH into n8n's most predictable Enterprise sales region - developing a team of high-performing Enterprise AEs, instilling forecast and pipeline discipline, and creating a repeatable operating model that wins complex, multi-stakeholder deals To make that happen, you'll be hands-on in coaching, deal inspection, and team development day-to-day, while staying close enough to strategic deals and customer executives to raise the bar on how we qualify, forecast, and win. What you’ll be doing   DEVELOPING A HIGH-PERFORMING, PREDICTABLE DACH TEAM - Coach and develop a team of Enterprise AEs through structured 1:1s, field coaching, and deal reviews – raising both the floor and the ceiling on individual performance - Build a rigorous forecasting and pipeline management cadence that makes DACH's numbers predictable quarter over quarter, not dependent on late-quarter heroics - Create a repeatable operating model – clear playbooks, MEDDIC/MEDDPICC-based deal inspection, and coaching rhythms – DACH's execution shouldn’t rely on you personally driving every strategic deal - Hire, onboard, and scale the team over time, establishing career paths and succession plans as the region grows SETTING THE STRATEGY FOR THE DACH TERRITORY - Prioritize and run the DACH Enterprise territory with focus – balancing new logo pursuits with expansion plays where community signals are strong - Set the strategy for the team's most complex enterprise cycles, from discovery to close, staying close enough to coach without taking the pen - Elevate sales methodology adoption (MEDDIC/MEDDPICC), ensuring meticulous qualification, mutual action plans, and disciplined inspection of technical + business wins BUILDING A STRATEGIC, MULTI-THREADED SELLING MOTION - Build a strategic selling culture that shifts the team from “running opportunities” to multi-threaded, value-led enterprise execution - Orchestrate executive engagement across DACH accounts – aligning economic buyers, champions, and technical evaluators to keep momentum and unblock deals - Run high-quality deal reviews and QBRs that sharpen strategy, elevate coaching moments, and improve win rates, cycle time, and forecast accuracy   PARTNERING ACROSS THE BUSINESS - Collaborate cross-functionally (Solutions Engineering, Customer Success, Marketing, RevOps, Product) to refine messaging for technical buyers, strengthen the enterprise playbook, and remove friction in the sales process REQUIREMENTS MUST HAVES - 🏆 Enterprise sales leadership: 5+ years in frontline sales management, leading ICs through complex, multi-threaded enterprise deals - 🔎 MEDDIC/MEDDPICC mastery: Deep, practical command of MEDDIC/MEDDPICC and a track record coaching teams to adopt it with real inspection - 📈 Forecast & pipeline rigor: Track record running a disciplined forecasting and pipeline management cadence that makes revenue predictable, not reactive - 🧠 Strategic deal management: You’re fluent in qualification, mutual action plans, champion building, and executive alignment in longer-cycle deals - 🎙️ Executive presence: You confidently engage senior stakeholders, run tight meetings, and set a high bar for clarity, urgency, and outcomes - 🧑‍🏫 Coaching & talent development: You level up AEs through structured coaching, field observation, and actionable feedback - 🧩 Multi-stakeholder navigation: You’re skilled at aligning technical and economic buyers, de-escalating conflict, and maintaining deal momentum - 🇩🇪 DE location: You’re based in Germany and happy being on-site with customers - 🔧 Technical-buyer credibility: Experience selling into technical stakeholders and navigating evaluation-heavy sales motions NICE-TO-HAVES - 🖥️ Open-source / PLG experience: You understand how community and bottoms-up adoption influence enterprise outcomes and how to partner with that motion - 🌉 Developer / infra SaaS background: Experience in DevOps, SecOps, IT Ops, data, infrastructure, or adjacent categories - 💡 Scrappy startup mindset: You’ve scaled in environments where playbooks are evolving and you enjoy building structure without slowing teams down - 📊 Operational excellence: Strong instincts for clean forecasting, pipeline hygiene, and turning data into coaching and better execution n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. BENEFITS - Competitive compensation 💸 – We offer fair and attractive pay. - Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. - Work/life balance 🏖️ – We work hard but ensure you have time to recharge: - Europe: 30 days of vacation, plus public holidays wherever you are. - US: 20 vacation days, 8 sick days, plus public holidays wherever you are. - Health & wellness 🩺 – - Europe: We provide benefits according to local country norms.* - US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. - Future planning 💰 – - Europe: We provide pension contributions according to local country norms.* - US: 401(k) retirement plan with a 4% employer match. - Financial security 🛡️ – - Europe: We provide benefits according to local country norms.* - US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. - Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. - A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! - Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. - Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. - Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang. *Country and/or State specific details provided in your employment agreement.

Location: US Workplace: Remote ABOUT MORPHO Morpho is a leading Decentralized Finance (DeFi) lending protocol backed by a16z crypto, Paradigm, Ribbit Capital, Apollo, Vaneck, Coinbase Ventures, Variant and 50 others to build an open credit network giving anyone, anywhere, access to the best possible terms. Morpho is experiencing exponential adoption, with over billion in deposits on the network and used by institutional clients including Bitwise, Galaxy, and Anchorage Digital and the largest crypto exchanges, such as Coinbase, Binance, and Kraken. Now, Morpho is scaling its team of contributors to establish itself as the open credit network, not just of DeFi, but of the world.   WHY MORPHO EXISTS Everyone has the potential to build something great for the world. But fulfilling that ambition almost always requires more: people willing to trust you with their capital. Yet access to capital still depends on where you live, who you know, and which institutions are willing to trust you. Even when capital is available, it sits fragmented across disconnected networks and hidden behind intermediaries. The result is a system that fails most of the people it should serve. Borrowers overpay. Lenders earn less than they should. Many are shut out entirely, not because they are unworthy of credit, but because today's infrastructure was never built to connect them. Morpho exists to solve this. Full article here https://morpho.org/blog/why-morpho-exists/. LOCATION   Remote - US (Washington, DC preferred)   ROLE   US regulatory engagement is Morpho's top legal priority. The SEC, CFTC, Treasury and FinCEN are writing the rules that will govern onchain lending, and the volume of rulemakings, requests for comment and staff engagement now exceeds what Legal can cover alongside its other work. Reporting to the General Counsel, this role owns Morpho's US policy pipeline end to end, from tracking rulemakings to drafting submissions and leading meetings with agency staff, Congress and industry coalitions.   RESPONSIBILITIES     - Track SEC, CFTC, Treasury and FinCEN rulemakings, guidance, staff statements and enforcement relevant to onchain lending, and maintain a live calendar of comment deadlines with a recommended posture for each.       - Lead the drafting of comment letters, responses to requests for comment and other written submissions, pulling in input from Protocol, Product, Research and outside counsel, and prepare them for General Counsel sign-off.       - Prepare and lead meetings with agency staff and commissioner offices, including briefing materials, talking points and follow-up submissions.       - Represent Morpho in trade association working groups and industry coalitions, and coordinate Morpho's input into joint filings.       - Engage congressional offices and committee staff on legislation and its implementation where it affects DeFi lending.       - Manage outside policy counsel and consultants day to day: scope, deliverables and spend.       - Brief leadership and product teams on US policy developments in short written updates, and flag implications for the protocol, products and external messaging.     WHAT SUCCESS LOOKS LIKE   FIRST 30 DAYS   You can explain Morpho Markets, Morpho Vaults and the role of curators accurately to a non-technical regulator. You have built a tracker of open SEC, CFTC, Treasury and FinCEN items with a recommended posture for each, joined the relevant working groups, and contributed to at least one live comment letter or coalition submission.   FIRST 3 MONTHS   You own the comment pipeline end to end: first drafts reach the General Counsel on schedule with no missed deadlines. You have prepared and led at least two agency meetings, send a short monthly US policy update to leadership, and have working relationships with staff at the SEC, the CFTC and key congressional offices.   FIRST 6 MONTHS   Agency staff and coalition partners treat Morpho as a credible, technical voice on DeFi lending, and Morpho's positions show up in coalition filings and, where possible, in staff guidance or final rules. Outside counsel runs against clear deliverables and within budget, and you have drafted a 2027 US policy plan for General Counsel approval.   MUST HAVE SKILLS & EXPERIENCE     - 5 to 8 years working on SEC or CFTC matters, at an agency, in a law firm regulatory practice, at a trade association or on an in-house regulatory or policy team. Prior SEC or CFTC staff experience is strongly preferred.       - Strong working knowledge of federal securities and commodities law and of the rulemaking process: notice and comment, staff guidance, no-action and exemptive relief.       - Excellent writing, with comment letters, regulatory submissions or similar work product to show for it.       - Existing relationships with agency staff, congressional staff or industry coalitions.       - Able to learn how onchain lending works and explain it clearly and accurately to a non-technical audience.       - Sound judgment on when to escalate, and comfortable preparing positions for sign-off rather than setting them alone.       - Strong ownership and autonomy: doesn't wait to be told.       - Clear and crisp async communication across a team split between Paris, New York and DC.       - Comfort operating in fast-changing, ambiguous contexts.       - Team-first mindset, low ego. PERKS & BENEFITS We design benefits around deep work and growth, so you can do the best work of your career. Expect fair, top-tier compensation, real flexibility, time together in Paris, great health coverage, and support to keep learning.   EQUAL OPPORTUNITY We welcome applicants from all backgrounds and hire based on talent, potential, and values alignment.

Location: Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Key Responsibilities Compliance Requirements TranslationLiaise with local compliance teams across global regions to develop a deep understanding of the security technical requirements under various regulatory frameworks (e.g., EU DORA, Turkey CMB/Tubitak, Hong Kong SFC). Translate compliance requirements into actionable security platform product requirements and technical solutions. Audit & Certification SupportLead or participate in security audit preparation for compliance entities, including internal audits, external audits, penetration test report reviews, and audit evidence compilation and delivery — ensuring accuracy and timeliness of all audit materials. Security Operations GovernanceDrive the implementation of security policies, processes, and standards across compliance entities, covering control domains such as vulnerability management, log monitoring (SIEM), antivirus coverage, access rights reviews, and security awareness training. License Application SupportParticipate in the security-related components of financial license applications across regional compliance entities; author technical documentation including security architecture descriptions, control matrices, and risk assessments. Security Metrics ManagementAssist in establishing and maintaining security operations metrics frameworks for each compliance entity (coverage rates, SLAs, compliance rates, etc.); produce regular security operations reports. ────── Requirements Bachelor's degree or above in Computer Science, Information Security, or a related field; 5+ years of experience in information security, with at least 3 years focused on security compliance governance, security auditing, or security operations. Solid familiarity with mainstream security compliance frameworks and regulatory requirements such as ISO 27001, SOC 2, PCI DSS, and GDPR; knowledge of financial industry security regulations (e.g., DORA, MAS TRM) is a plus. Strong security technical foundation with the ability to understand the working principles of security products and controls including SIEM, vulnerability scanning tools (Tenable/Orca/Nessus), EDR/antivirus, WAF, and IAM. Hands-on experience participating in security audits (internal or external), with the ability to independently complete audit evidence preparation, control gap analysis, and remediation tracking. Fluent in both Chinese and English; able to read regulatory documents in English, produce security compliance technical documentation, and communicate seamlessly with overseas teams. Strong cross-functional communication and project execution skills; able to collaborate effectively across multiple time zones and cultural backgrounds. ────── Bonus Points Prior security compliance experience at a cryptocurrency exchange, payment institution, large internet company, or fintech firm. Experience building multi-region / multi-site security compliance frameworks (not limited to a single region). Familiarity with security platform/product development; ability to derive platform feature requirements from compliance needs. Experience as an ISO 27001 internal auditor or participation in a SOC 2 Type II audit. Holds certifications such as CISSP, CISM, CISA, or ISO 27001 LA/LI. Direct hands-on experience with specific regional regulatory frameworks such as DORA, Tubitak, or SFC. Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: US (EST) Workplace: Remote ABOUT MORPHO Morpho is a leading Decentralized Finance (DeFi) lending protocol backed by a16z crypto, Paradigm, Ribbit Capital, Apollo, Vaneck, Coinbase Ventures, Variant and 50 others to build an open credit network giving anyone, anywhere, access to the best possible terms. Morpho is experiencing exponential adoption, with over billion in deposits on the network and used by institutional clients including Bitwise, Galaxy, and Anchorage Digital and the largest crypto exchanges, such as Coinbase, Binance, and Kraken. Now, Morpho is scaling its team of contributors to establish itself as the open credit network, not just of DeFi, but of the world.   WHY MORPHO EXISTS Everyone has the potential to build something great for the world. But fulfilling that ambition almost always requires more: people willing to trust you with their capital. Yet access to capital still depends on where you live, who you know, and which institutions are willing to trust you. Even when capital is available, it sits fragmented across disconnected networks and hidden behind intermediaries. The result is a system that fails most of the people it should serve. Borrowers overpay. Lenders earn less than they should. Many are shut out entirely, not because they are unworthy of credit, but because today's infrastructure was never built to connect them. Morpho exists to solve this. Full article here https://morpho.org/blog/why-morpho-exists/. LOCATION   Hybrid New York or Remote (EST timezone). ROLE   Morpho's commercial activity is growing fast, and the partnerships, integrations and vendor relationships behind it now outpace what Legal can cover. Reporting to the General Counsel, you will own the contract lifecycle for our partnerships end to end (intake, standard paper, signature, post-signature obligations) and build the tooling behind it, so that standard deals close without waiting on senior lawyers.   RESPONSIBILITIES     - Deal desk: intake and triage of partnership team requests, NDAs on our paper and the counterparty's, and first drafts and negotiation of our standard partnership and incentive agreements, through to signature packs and signing summaries.       - Post-signature tracking: a single contract repository linked to our CRM, and an obligations register (milestones, grant tranches, exclusivity periods, notice windows, renewals) with alerts to deal owners and Finance. Be the go-to person for the conditions of signed deals.       - Legal ops infrastructure: negotiation playbooks, a clause library, a consolidated set of templates, a Legal FAQ for recurring partner questions, AI workflows and agents for intake, drafting and review, outside counsel budget tracking, and a monthly report on legal throughput.       - Vendor and compliance ops: standard vendor and SaaS terms, renewals and insurance calendar, due diligence and security questionnaires, internal policy upkeep and data room hygiene.       - As capacity allows: corporate housekeeping for Morpho's legal entities, and support on employment, IP and privacy matters with outside counsel.       - Work daily with the partnership team, Finance, RevOps, BizOps and outside counsel.     WHAT SUCCESS LOOKS LIKE   FIRST 30 DAYS   You understand Morpho's products and main commercial relationships, own the partnership legal queue and all NDAs, and have read every live partnership agreement and our standard templates.   FIRST 3 MONTHS   Counterparty-paper NDAs are turned around within 2 working days. Every signed agreement sits in one repository linked to its CRM record, and the obligations register is live for all agreements in force, with alerts to deal owners and Finance.   FIRST 6 MONTHS   Standard template deals run without senior lawyer involvement, except for listed deviations. Partner categories are consolidated into an agreed set of templates, each with a playbook. You deliver a monthly throughput report (volume, cycle time, deviations), vendor renewals and insurance sit on a single calendar, and you have proposed the 2027 legal operations roadmap.   MUST HAVE SKILLS & EXPERIENCE     - Legally trained (qualified lawyer or equivalent law degree), with 5 to 8 years in commercial contracting, part of it in-house at a fast-growing technology company.       - Has negotiated partnership, integration or licensing agreements alone, on both own and counterparty paper. US-style commercial drafting is essential.       - Has built legal operations in practice (contract lifecycle tooling, playbooks, intake, reporting), not only used them.       - Builds with AI tools: writes prompts and skills, automates document workflows, and knows where review by a lawyer is still required.       - Comfortable working with Finance on payment mechanics, milestones and budgets, and with a CRM as the source of truth.       - Able to hold a position with a deal team under time pressure.       - Clear, concise communication with non-lawyers.       - Strong ownership and autonomy at startup pace with limited support: doesn't wait to be told.       - Comfort operating in fast-changing, ambiguous contexts.       - Ability to work across US Eastern time zones with shifting priorities.       - Team-first mindset, low ego. PERKS & BENEFITS We design benefits around deep work and growth, so you can do the best work of your career. Expect fair, top-tier compensation, real flexibility, time together in Paris, great health coverage, and support to keep learning.   EQUAL OPPORTUNITY We welcome applicants from all backgrounds and hire based on talent, potential, and values alignment.

Location: Lugano, Switzerland Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of our AI research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio. We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value. Responsibilities Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality. Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs. Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance. Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings. Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance. Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures. Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication. Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI. List the qualifications, certifications, and experience needed for the role. You can split this into mandatory and preferred sections if needed. A degree in Computer Science  or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Experience with PyTorch deep learning frameworks or equivalent frameworks Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ). Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones. Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones. Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques. Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations). Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Tel Aviv, Israel About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are seeking an experienced Threat Hunting Team Lead to join the Cyber Security organization, reporting to the Head of Proactive Security under the CISO. This role is responsible for leading the organization's proactive threat hunting program across Nebius's corporate IT environment, cloud platforms, and data center infrastructure. You will lead a team of threat hunters focused on identifying advanced threats, uncovering adversary activity before it becomes an incident, and continuously improving the organization's detection capabilities. The ideal candidate combines strong technical expertise with an attacker mindset and a passion for proactive defense. You will work closely with SOC, Incident Response, Threat Intelligence, Detection Engineering, and Security Engineering teams to identify emerging threats, develop hunting methodologies, and strengthen Nebius's overall cyber resilience. Your responsibilities will include: Lead and manage the Threat Hunting team, including mentoring, prioritization, and professional development. Define and execute the organization's proactive threat hunting strategy across corporate IT, cloud environments, and data center infrastructure. Lead hypothesis-driven threat hunting activities to identify advanced threats, persistence mechanisms, and malicious activity not detected by existing security controls. Develop and continuously improve threat hunting methodologies, playbooks, and operational procedures. Leverage threat intelligence, adversary TTPs, and MITRE ATT&CK to drive hunting campaigns and prioritize hunting efforts. Hunt across endpoint, identity, network, cloud, and application telemetry to identify suspicious behavior and indicators of compromise. Collaborate with SOC and Incident Response teams to validate findings, support investigations, and improve incident response capabilities. Partner with Detection Engineering to convert successful hunts into automated detections and improve security monitoring coverage. Work closely with Security Engineering and Infrastructure teams to identify security gaps and recommend improvements. Produce technical reports, executive summaries, and threat assessments for leadership and key stakeholders. Define KPIs and measure the effectiveness and maturity of the organization's threat hunting program. Stay current on emerging threat actors, attack techniques, AI-driven threats, and industry best practices, incorporating new knowledge into hunting operations. We expect you to have: 6+ years of experience in cyber security, with a strong focus on threat hunting, incident response, detection engineering, or SOC operations. 2+ years of experience leading technical security teams. Strong understanding of attacker methodologies, post-exploitation techniques, and modern cyber threats. Hands-on experience conducting hypothesis-driven threat hunting across endpoint, network, identity, and cloud environments. Deep knowledge of MITRE ATT&CK and adversary tactics, techniques, and procedures (TTPs). Experience working with EDR/XDR, SIEM, cloud security platforms, and threat intelligence sources. Experience investigating advanced persistent threats (APTs), ransomware, insider threats, and cloud-based attacks. Strong scripting or query skills (e.g., KQL, SPL, SQL, Python, PowerShell) for threat hunting and analysis. Strong analytical, investigative, and problem-solving skills. Excellent written and verbal communication skills in Hebrew and English. It will be an added bonus if you have: Experience hunting across AWS, GCP, or Azure cloud environments. Familiarity with large-scale enterprise, cloud-native, or AI infrastructure environments. Experience developing detection rules and behavioral analytics. Knowledge of malware analysis, digital forensics, or reverse engineering concepts. Experience with threat intelligence platforms and threat hunting frameworks. Relevant certifications such as GCFA, GCTI, GREM, GCIA, CISSP, or equivalent. BSc in Computer Science, Information Security, or a related field. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Tel Aviv, Israel About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are seeking an experienced Fraud Team Lead to join the Cyber Security organization, reporting to the Head of Detection & Response under the CISO. This role is responsible for leading the organization's Fraud & Insider Threat function, protecting Nebius, its employees, executives, customers, and brand from fraud-driven attacks and insider risks. You will lead a team responsible for identifying, investigating, and responding to fraud campaigns targeting the organization, including Business Email Compromise (BEC), executive impersonation, phishing, social media fraud, account takeovers, financial fraud, and insider threats. The role requires close collaboration with SOC, Threat Intelligence, IT, HR, Legal, Communications, and business stakeholders to proactively reduce fraud risk and strengthen organizational resilience. Your responsibilities will include: Lead and manage the Fraud & Insider Threat team, including mentoring, prioritization, and professional development. Define and execute the organization's fraud prevention and insider threat strategy, processes, and operational playbooks. Oversee investigations involving Business Email Compromise (BEC), executive impersonation, phishing campaigns, social engineering, financial fraud, and insider threat activities. Lead monitoring and response efforts for fraud targeting executives, employees, customers, and the Nebius brand. Investigate fraudulent domains, social media impersonation, fake websites, fraudulent mobile applications, and other brand abuse activities. Coordinate takedown efforts with external providers, registrars, social media platforms, and law enforcement when required. Develop fraud detection capabilities by leveraging threat intelligence, telemetry, and fraud monitoring tools. Collaborate with SOC and Threat Intelligence teams to identify emerging fraud campaigns and evolving attacker techniques. Partner with HR, Legal, Finance, Communications, and IT teams to investigate insider threats and fraud incidents while ensuring appropriate handling and confidentiality. Produce intelligence reports, risk assessments, and executive briefings on fraud trends, insider threats, and organizational exposure. Define KPIs and continuously improve fraud detection, investigation, and response processes. Drive awareness programs to educate employees and executives on phishing, social engineering, executive fraud, and insider threat risks. We expect you to have: 5+ years of experience in cyber security, fraud investigations, digital investigations, cyber intelligence, or incident response. 2+ years of experience leading technical or investigative teams. Strong understanding of Business Email Compromise (BEC), phishing, executive impersonation, social engineering, and financial fraud techniques. Experience investigating cyber-enabled fraud, insider threats, and digital abuse incidents. Familiarity with email security, identity systems, and enterprise collaboration platforms. Experience working with threat intelligence, OSINT, and digital investigation tools. Strong analytical, investigative, and problem-solving skills. Experience working cross-functionally with Security, HR, Legal, Finance, IT, and executive leadership. Excellent written and verbal communication skills in Hebrew and English. It will be an added bonus if you have: Experience with brand protection, digital risk protection (DRP), or external attack surface monitoring platforms. Familiarity with dark web monitoring, OSINT investigations, and threat intelligence platforms. Experience working with law enforcement or external fraud investigation organizations. Knowledge of insider threat methodologies and user behavior analytics (UBA/UEBA). Experience in SaaS, cloud-native, or enterprise environments. Relevant certifications such as CFE (Certified Fraud Examiner), GCFA, GCTI, CISSP, or equivalent. BSc in Computer Science, Information Security, Criminology, Intelligence, or a related field. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Paris; Amsterdam; Munich; London; Berlin Workplace: Remote ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE TEAM Mistral is building a sovereign AI cloud for Europe. Our customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the Cloud Platform team builds the systems that make that possible — compute orchestration, Kubernetes, bare metal, storage, networking, and the datacenter fleet that runs it all. We run it all on our own metal, our own network, our own datacenters — which means when something breaks, the fix is ours to write. European Compute Units let enterprises commit to multi-year capacity on that infrastructure, and we are scaling toward a gigawatt of compute across Europe by 2030. You will design and ship the layer every sovereign AI deployment depends on and shape the team building it. THE ROLE This is a people-leadership role from day one. You will manage the team — hiring, coaching, performance, growth paths, honest feedback — while staying close to the code: roughly half your time in architecture decisions and the hardest technical problems the team faces, the other half leading your squad. If you are looking for a senior IC role, this is not it. You will lead the team building our serverless containers product: the way developers run AI apps, MCP servers, APIs, and managed workers on our cloud without thinking about servers. Push a container, get an endpoint, scale from zero to thousands of instances and back down — across CPU and GPU. On a hyperscaler, the serverless layer is a product someone else built. Here you own it end to end: the scheduler that decides where a container lands, the routing path a request takes, the machinery that turns a scaled-to-zero service into a warm instance before a customer notices. All of it runs on metal, network, and datacenters we own. That tension is the product: scale-to-zero economics with cold starts in milliseconds, autoscaling that absorbs a launch spike without a config change, GPUs scheduled onto containers the way other platforms schedule CPU. The customers betting on this layer are the developers building the next generation of AI software on European infrastructure. WHAT YOU WILL DO - Own the container platform end to end: image delivery, placement, request routing, scale-up, scale-to-zero — across CPU and GPU. - Make cold starts a solved problem: snapshotting, prewarming, image-layer caching, whatever it takes for scale-from-zero to feel instant. - Treat AI workloads as the normal case: GPU-backed containers, streaming responses, long-lived connections, MCP servers that cost almost nothing while idle. - Write Go alongside your team and own the architecture and the hardest implementation decisions. - Grow the engineers, not just the software — set the standard for ownership and coach people past their comfort zone. - Own people management for the team: hiring, performance, growth paths, and honest feedback. - Partner with Product Managers to turn platform decisions into a product developers want to deploy on. WHAT WE'RE LOOKING FOR - 3+ years of real people leadership. You have managed engineers — hired, coached, given honest feedback, and grown them. Hands-on contribution matters here, but this role is judged on the team you build and lead, not just the code you write. - You have shipped production systems in Go. Not dabbled. Shipped. - You have built container or workload platforms — orchestration, scheduling, isolation, request routing — not just deployed onto someone else's serverless platform. - Deep Linux: namespaces, cgroups, image layers, page cache — comfortable well below the application layer. - Multi-tenancy instincts: density, isolation, and fairness when hundreds of customers share one fleet. - Significant experience building complex backend or infrastructure systems. - You have partnered with product, design, and business teams to ship software that reached real users. - A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We're looking for a Senior Customer AI Engineer who will join our Token Factory team to help our customers successfully transition from proof-of-concept to production and scale their AI workloads on Nebius infrastructure. This role sits at the intersection of engineering, delivery, and customer success – ensuring that what was promised during pre-sales actually works reliably in production. You will work closely with customer engineering teams, Solution Architects, and Product/Infrastructure teams to drive stable, performant, and cost-efficient deployments . This role is NOT: A sales role (though you will support expansion through value) A pure support role (you won’t just react to tickets) A solution architect role (you won’t design systems from scratch) You’re welcome to work remotely from the United States . Your responsibilities will include: Own the production journey Lead the transition from PoC to production Ensure customer workloads are deployed, stable, and scalable Drive time-to-production and time-to-value Ensure technical success in production Understand customer architectures and use cases Monitor and improve: - performance (latency, throughput) - cost efficiency - reliability Identify and resolve bottlenecks proactively Act as a trusted technical partner Work directly with customer engineering teams Provide guidance on best practices and optimisation Translate technical challenges into actionable solutions Manage risks and incidents Act as a primary technical contact for production issues Coordinate with internal teams to resolve incidents Communicate clearly during high-pressure situations Drive continuous improvement Identify opportunities to optimise and expand usage Provide structured feedback to Product and Infrastructure teams Help shape better solutions based on real customer needs We expect you to have: Technical background Practical knowledge of inference frameworks (e.g. vLLM, TensorRT, or similar) Solid understanding of: - cloud or infrastructure systems - distributed systems or high-load applications - AI/ML workloads (LLMs, inference, etc.) is a strong plus Ability to troubleshoot and reason about system performance Customer-facing experience Experience working directly with technical customers (e.g. engineers, ML teams) Ability to communicate complex topics clearly and effectively Ownership & execution Strong sense of ownership – you drive outcomes, not just tasks Ability to manage multiple customers and priorities Structured, proactive, and solution-oriented mindset It will be an added bonus if you have: Experience with GPU workloads or AI infrastructure Background in solutions engineering, SRE, or technical support in B2B environments Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. #LI-DN1 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $209,800 — $262,200 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Limassol; Belgrade Workplace: onsite About Unlimit Unlimit is the global financial infrastructure for the borderless agentic economy. Designed to bridge the gap between fragmented local markets and the future of autonomous commerce, Unlimit provides the programmable operating layer for the world’s most ambitious businesses. Through an integrated technology stack, the platform unifies global payment acceptance, programmable financial accounts, and digital asset rails into a singular financial layer. By mapping hyper-local payment ecosystems directly into its architecture, Unlimit enables businesses to move value and settle transactions instantly across continents. Built on decades of hard-won regulatory depth and an extensive global license portfolio, the platform provides direct access to a massive global infrastructure. With major hubs in London, San Francisco, Singapore, São Paulo, and Mexico City, Unlimit is building the infrastructure that makes global expansion a matter of code, not geography. About the role: We are looking for a senior engineer to become the technical lead of our card processing platform. You will own the SmartVista ecosystem end to end (FrontEnd and BackOffice), set the standards for how processing is built, changed and operated, and lead the work of finding and closing gaps in our processes, configuration and controls. This is not a pure support or configuration role. We expect you to replace manual work with automation and to put AI to practical use in processing operations: anomaly detection, intelligent alerting, automated root-cause analysis and AI-assisted analysis of scheme specifications and transaction data. The role combines card processing expertise + technical leadership + engineering (backend, scripting, integrations) + automation and AI adoption. What you will do: 1. Technical leadership and platform ownership Own the end-to-end architecture of the processing ecosystem (SmartVista FrontEnd and BackOffice, interfaces, HSM, scheme connectivity) and make architecture and technology-stack decisions. Act as the technical lead and senior escalation point for processing engineers; set engineering standards, review solutions. Lead major incidents, coordinate the response with internal teams, the vendor and card schemes, and drive post-incident reviews to permanent fixes. Manage the relationship with the SmartVista vendor on releases, patches, defects and change requests. 2. Process ownership and gap remediation Map the current processing processes (authorisation, clearing, settlement, disputes, reconciliation, reporting, release and change management, monitoring and on-call) and identify gaps, single points of failure and manual workarounds. Build and run a remediation plan: define owners, deadlines and measurable outcomes, and follow through to closure. Introduce and maintain operational standards: runbooks, release and change procedures, incident and problem management, SLAs and KPIs (e.g. availability, approval rate, incident resolution time). Make sure scheme mandates and regulatory changes are tracked, assessed and implemented on time, and that the evidence of compliance is documented. 3. Processing development and scheme compliance Deliver the technical implementation of new card products and services (acquiring and issuing) for Visa, Mastercard, UnionPay, American Express and other schemes. Translate scheme mandates and specifications into technical solutions, and lead certification projects with the schemes. Configure and develop SmartVista FrontEnd and BackOffice products, services and business rules. Prepare technical requirements for system upgrades; test and install releases and patches with minimal downtime. Diagnose complex issues across authorisation, clearing and settlement flows and drive them to root cause. Set up and maintain payment system emulators and test environments; take part in go-live and pilot activities. Maintain clear technical documentation of the platform and implementation procedures. 4. Monitoring and observability: design, development and implementation Design and build an end-to-end monitoring framework for the processing platform, covering infrastructure, applications, interfaces and business metrics. Develop and implement real-time monitoring of: - authorisation flows: approval and decline rates by scheme, BIN, issuer country, merchant, MCC and response code. - response times, timeouts and stand-in processing. - scheme, issuer and HSM connectivity and host availability. - transaction volumes and abnormal spikes or drops. Develop and implement monitoring of back-office processes: - clearing file generation, submission and acknowledgement (Visa, Mastercard and other schemes). - incoming scheme files and reports, settlement positions and reconciliation breaks. - end-of-day and batch jobs, interchange and fee calculation, chargeback and dispute deadlines. Monitor scheme compliance indicators (e.g. decline-code usage, data-integrity edits, excessive retries, fraud and dispute ratios) to catch issues before they become scheme non-compliance or fines. Define thresholds, alerting rules and escalation paths; integrate alerts with on-call, incident management and messaging tools. Build operational dashboards for engineering, operations and management, and define the related KPIs and SLAs. Develop health checks, synthetic test transactions and log-based monitoring for SmartVista components. Continuously tune monitoring to reduce false alerts, and turn incident findings into new checks and controls. 5. Automation and AI Identify manual and repetitive processes and automate them, including: - reconciliation and settlement. - scheme file exchange and report submission. - testing, regression and release management. - monitoring and alerting. Build CI/CD pipelines and automated deployment for processing components and configuration. Design and deliver AI-driven solutions for processing operations, for example: - anomaly detection on transaction flows, decline patterns and fraud signals. - intelligent alerting that reduces noise and escalates what matters. - automated root-cause analysis of declines and incidents - AI assistants or agents that analyse scheme specifications, mandates and authorisation messages and flag deviations. Introduce test automation and regression frameworks for scheme messages and processing flows. Promote the safe use of AI tools across the team, with appropriate controls for data security, PCI DSS and human oversight of changes to production. What you bring: 6+ years of hands-on experience in card processing, covering the full transaction lifecycle: authorisation, clearing, settlement, chargebacks and reconciliation. At least 2 years in a senior, lead or architect role, with a track record of owning a processing platform and leading engineers, directly or as a technical lead. Strong practical experience with SmartVista (FrontEnd and/or BackOffice); deep experience with acomparable platform (e.g. Way4, TranzWare) may be considered. Proven experience of improving processes: finding operational gaps, designing controls and delivering a remediation plan to completion. Certification experience with Visa and Mastercard and the ability to read and apply scheme specifications and rules (ISO 8583, Visa Base I/II, Mastercard IPM/CIS). Hands-on automation skills: Python, SQL/PL/SQL, Bash; experience with CI/CD tools (e.g. GitLab CI, Jenkins), test automation and API testing (e.g. Postman). Practical experience applying AI or ML in production work, such as anomaly detection, LLM-based tools or agents, or AI-assisted analysis and coding, and a clear view of their limits and risks. Working knowledge of Oracle DB, WebLogic, Linux, REST/SOAP web services and HTTP. Experience with scheme tools: Visa Edit Package, VCX, Mastercard File Express (MFE) and scheme test tools and emulators (e.g. Mastercard MAX, Visa test systems). Good understanding of e-commerce and digital payments: EMV 3-D Secure, tokenisation (VTS/MDES), Apple Pay / Google Pay, recurring payments, AVS. Knowledge of card technologies and security: EMV, contactless, HSM (Thales), key management, PCI DSS. Experience with release and change management in a 24/7 production environment. Fluent English (B2+) for daily communication with card schemes, vendors and international teams. What we offer: A key role with real ownership of a business-critical platform and visible impact on approval rates, stability and time to market. The mandate and support to modernise processing with automation and AI. Competitive salary and performance-based rewards. Paid vacation, sick leave and public holidays. Flexible working hours and modern equipment. An international team of payments professionals in a fast-growing fintech. Join Unlimit Team now!   Unlimit is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.   We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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