Вакансии

Задачи: — Управление полным жизненным циклом платформы Coin Master. — Обеспечение высокой доступности, производительности и экономичности в многорегиональной AWS-среде. — Проектирование и поддержка надежной, высокопроизводительной инфраструктуры с использованием Infrastructure as Code (IaC). — Создание самовосстанавливающихся сред с использованием AI-агентов для мониторинга и устранения проблем в реальном времени. — Внедрение безопасности на уровне инфраструктуры с использованием AI-инструментов для выявления и устранения уязвимостей в Kubernetes и AWS. — Разработка инструментов и сервисов для ускорения выпуска кода инженерной командой. Требования: — Опыт работы DevOps не менее 3 лет. — Опыт управления Kubernetes кластерами и AWS инфраструктурой в продакшене. — Опыт интеграции AI-инструментов в рабочие процессы, включая использование AI-агентов (Cursor, Claude Code или аналогичные) для автоматизации инфраструктуры. — Опыт управления несколькими AWS аккаунтами в разных регионах, знание Lambda, CloudFront, SQS, VPC, IAM. — Глубокое понимание оптимизации затрат в облаке через архитектурные решения и автоматическое управление ресурсами. — Опыт работы с современными CI/CD платформами: GitHub Actions, Jenkins, ArgoCD. Преимущества: — Опыт оркестрации LLM (LangChain, LangGraph) или создания внутренних инструментов/агентов для автоматизации задач через облачные API. — Опыт работы с Kafka (MSK/Apache Kafka) и высокопроизводительными кеширующими слоями Redis/Elasticache. — Опыт управления CloudFlare и сложными конфигурациями edge-computing. Условия: — Конкурентная компенсация. — Оплачиваемый отпуск и больничные. — Медицинская и страховая поддержка для сотрудника и семьи. — Спортивные занятия и карта MultiSport. — Современный офис в Варшаве на улице Królewska 16. — Бесплатные завтраки, обеды, кухня с закусками и фруктами. — Современное техническое оборудование, включая macOS устройства. — Обучение и компенсация обучения. — Программа рекомендаций с бонусами. — Культура совместной работы с регулярными мероприятиями. — Бонус на релокацию для переезжающих в Варшаву. — Парковка для велосипедов и автомобилей.

Location: 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 Nebius is seeking a deeply technical DFIR Lead to build and lead the company’s global incident response capability - its people, tooling, and methodology - while remaining the hands-on technical authority on the hardest investigations. Reporting to the SOC Manager, the DFIR Lead will recruit, grow and direct a team of DFIR Experts, owning response execution, chain of custody and quality across Nebius’ cloud, infrastructure, and platform environments. This is a hands-on role that balances deep technical work along with building and running the function: the Lead drives high-severity incidents end-to-end, serves as the escalation ceiling, and sets the standards and structure the team operates by. You’re welcome to work in our offices in Tel Aviv, Israel. Your responsibilities will include: Build and lead Nebius’ global DFIR capability - select and mature DFIR tooling, and establish the playbooks and follow-the-sun operating model across EMEA, Asia, and APAC while hiring and developing a team of responders. Lead the technical response to major incidents hands-on - from escalation through containment, eradication, and recovery - and act as the final technical authority on the most complex cases. Personally conduct end-to-end forensic investigations across cloud, platform, and endpoint environments - log analysis at scale, host and network forensics, memory analysis, malware triage, and timeline reconstruction. Define and enforce consistent investigation standards across the team: severity and escalation criteria, cross-region handoff quality, and evidence handling that meets legal, regulatory, and forensic requirements. Partner with the SOC, SOC Automation, Threat Intelligence, Threat Hunting, and Platform Security teams to improve detection fidelity and reduce MTTD and MTTR. Serve as the technical voice of incident response to executive leadership, Legal, and Privacy - delivering clear, risk-based briefings, regulatory-ready documentation, and root cause analyses (RCA). Raise the team’s technical bar through case reviews and hands-on mentoring, and drive lessons-learned into measurable improvements in controls and readiness. We expect you to have: Experience 7+ years of hands-on incident response and digital forensics, including technical leadership of large-scale, high-impact incidents (ransomware, nation-state / advanced threat actors, cloud intrusions, identity compromise). Experience building or leading IR teams and capabilities in cloud or infrastructure-heavy environments, which are highly regulated (SOC 2, ISO 27001, GDPR/NIS2). Technical Expertise Deep knowledge of Windows and Linux internals, with proven disk and memory forensics capability. Strong cloud-native platform security: containers and Kubernetes, CI/CD, secrets management, cloud control planes, and IAM attack paths. Fluency in attacker TTPs (MITRE ATT&CK, including the Cloud and Containers matrices), and hands-on experience with EDR, SIEM, and forensic tooling (e.g., Velociraptor, Volatility, X-Ways/EnCase). Strong scripting and data-analysis skills (Python, PowerShell, SQL/KQL) for investigation at scale, with the ability to validate findings independently and challenge assumptions. Leadership & Communication Proven ability to lead under pressure and make high-quality decisions with incomplete data; technical leadership through credibility across regions, without relying on direct authority. Clear, concise communicator capable of briefing executives, Legal, Privacy, and non-technical stakeholders. Working knowledge of spoken and written English 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.

Задачи: -Создание нового функционала, написание чистого, эффективного и поддерживаемого кода, реализация бизнес-логики; -Написание и выполнение Unit тестов, поиск и исправление ошибок (багов) в коде; -Устранение сбоев, внесение изменений, добавление новых функций, адаптация под меняющиеся требования; -Улучшение производительности существующих приложений, снижение затрат на инфраструктуру; -Обеспечение взаимодействия с другими системами, базами данных, веб-сервисами и API; -Участие в код-ревью, обсуждение задач, обмен знаниями с коллегами; -Документирование написанного кода (Java doc, описание readme); -Работа в команде, ответственность, решение проблем, коммуникация. Требования: -Высшее техническое образование; -Опыт работы разработчиком в ИТ-проектах по созданию или развитию информационных систем от 3-х лет; -Знания Java Core 11, Spring, Spring Boot, Hibernate; -Понимание принципов и технологий разработки программного обеспечения, ООП, многопоточность, коллекции, управление памятью; -Знание технологий взаимодействия и интеграции информационных систем (REST API, брокеры сообщений RabbitMQ); -Понимание распределенной архитектуры информационных систем; -Уверенное владение SQL, опыт работы с СУБД; -Умение работать с системой контроля версий (Git), сборки (Maven, Gradle), IDE (IntelliJ IDEA, Eclipse); -Умение писать Unit тесты, проводить различное тестирование. Будет плюсом: -Знание CI/CD; -Знание Spring Cloud; -Работа с высоконагруженными системами; -Знания SOAP. Условия: -Официальное оформление и стабильный прозрачный доход; -Офисный формат работы, офис на м. Марьина Роща; -Обучение: корпоративный университет, электронная библиотека, вебинары с экспертами, центр карьерного консультирования; -Сообщества: школа спикеров, дебат клуб, писатели Хабр, киберспорт; -Спорт: футбольный, волейбольный и баскетбольный клубы; -Здоровье: ДМС, включая стоматологию и скидки на страхование родственников; -События для детей сотрудников: праздники, профориентационные игры, образовательные курсы; -Партнерские программы и скидки для сотрудников: магазины-партнеры, фитнес-клубы, образовательные платформы, досуговые мероприятия; -Комфортный офис.

Location: Hybrid - San Francisco, New York City, Austin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role As a Head of Solutions Architecture for startups, you’ll build and lead the technical sales organization behind our relationships with the startups shaping how web and AI products get built. These teams ship on Vercel’s core platform, Next.js, and our AI stack, and the decisions made in their first architecture review often determine how far they scale with us. You’ll lead a global team of Solutions Architects in our Startups sales organization, set the technical bar across the deal cycle, coach through strategic accounts and critical deals, and step in yourself when it matters most: architecture reviews, migration plans, and high-stakes presentations. You’ll turn patterns from the field into repeatable plays, carry what startups tell you back to engineering so it shows up in the product, and own org planning, staffing, budgeting, and recruiting as you scale the team this segment needs. This is a hybrid role with 3 in-office days per week in San Francisco, Austin, or New York City. What you'll do Lead, develop, and coach the global Startups Solutions Architecture team across the pre-sales cycle Provide hands-on support on key accounts: presentations, architecture reviews, and migration plans Develop repeatable plays from the trends you see across strategic accounts and critical deals Partner with Sales and Field Engineering leadership to win new business and expand accounts Own org planning, staffing, budgeting, and recruiting What you need 10+ years in Solutions Architecture, Sales Engineering, or technical pre-sales, with 5+ years in a leadership role Hands-on depth in modern web technologies and developer workflows: JavaScript, React, Next.js, Node.js, APIs, cloud infrastructure, and CI/CD Led and scaled technical teams in a high-growth environment Sold to and supported startups as customers across industries Worked across Sales, Product, and Engineering to drive customer success Bonus if you Built hands-on with Vercel, Next.js, or similar frontend frameworks Led SA teams at a high-growth developer tool or cloud infrastructure company Bring expertise in developer tooling, edge computing, or performance optimization Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA OTE pay range for this position is $382,000 - $485,000 OTE. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

RELOCATION TO UAE CoreConnect, a flagship product by VentureOne, the commercialization arm of the Advanced Technology Research Council, acts as the digital glue within the complex ecosystem of autonomous mobility in logistics. CoreConnect is building the infrastructure layer for autonomous operations in complex ecosystems. We develop a robot orchestration platform that enables logistics and other operators to deploy, manage, and scale fleets of autonomous robots across real-world environments. Our technology sits at the intersection of robotics, operations software, and intelligent automation. Role Overview We are seeking a Senior Software Engineer (Backend) who prioritizes system reliability and product impact. You will be a key contributor to CoreConnect, developing a scalable Hexagonal Backend API service that serves as the primary interface for our commercial ecosystem. We value engineers who operate with a high degree of autonomy, technical pragmatism, and a commitment to operational excellence. We are specifically looking for candidates who demonstrate ownership, pragmatism, and feel comfortable with navigating ambiguity. Key Responsibilities Core Engineering & Architecture: Design, implement, and optimize scalable Kotlin Spring Boot backend services using a Hexagonal architecture for high-performance fleet orchestration. Data & Integration Strategy: Manage complex data layers (Postgres/PostGIS, TimescaleDB) and develop a Unified Abstraction Layer to integrate diverse autonomous vehicle APIs for fleet-agnostic control. Real-time Systems & Optimization: Drive the technical roadmap for real-time data engineering, resolving bottlenecks in high-frequency data ingestion (MQTT/WebSockets) to ensure sub-second latency. Security, Scalability & Observability: Enforce standards for platform security and observability, implementing Multi-tenant Architecture (RLS) and Role-Based Access Control (RBAC). Cross-Functional Collaboration: Partner closely with Product, Engineering Leadership, and DevSecOps to build high-quality solutions that drive measurable business outcomes. Engineering Culture: Mentor engineers, lead rigorous code reviews, introduce process improvements, and foster a culture of operational excellence. Qualifications Experience & Education: Bachelor’s degree or higher in Computer Science or other relevant fields and 5+ years of professional experience with Java or Kotlin and Spring Boot delivering well-tested, complex systems in a SaaS startup environment. Architecture & Data Mastery: Deep proficiency in distributed systems, Hexagonal Architecture, and scalable API design. Expertise in SQL (PostgreSQL), geospatial data (GIS/PostGIS), and time-series data (TimescaleDB). Real-Time & Integrations: Experience architecting low-latency communication (WebSockets, MQTT) and building abstraction layers for third-party vendor APIs. Mindset & Execution: Proven ability to navigate ambiguity, balance architectural purity with commercial objectives (managing technical debt, shipping MVPs), and take full ownership of the code lifecycle and incident management (root-cause analysis and prevention). Security & Quality: A consistent focus on software quality and security best practices with hands-on experience in automated testing (unit and integration test suites), SAST, DAST, and setting up platform observability tooling. Complementary Expertise: Frontend Proficiency: Practical experience building interfaces with React or Next.js and TypeScript. Infrastructure & DevOps: Mastery of cloud environments, specifically AWS and Kubernetes (EKS), along with CI/CD pipelines and Infrastructure as Code (Terraform or Helm). Industry Experience: Direct background in logistics, robotics, or fleet management systems. Communication: Fluency in Business English is a must. What We Offer We provide a competitive, tax-free salary and a comprehensive benefits package in a collaborative, innovative, and inclusive work environment. Our benefits include an education allowance, free on-site meals, annual flight allowance, health coverage, relocation support (if applicable), and access to well-being activities such as sports and recreational events. Join us to drive innovation and shape the future of technology!

Задачи: — Проектировать технические решения для интеграционных задач разного уровня сложности, тесно взаимодействовать с командами мобильных клиентов. — Брать на себя ответственность за кодовую базу продукта и демонстрировать проактивный подход к улучшению качества архитектуры проекта. — Осуществлять доставку высоконагруженных сервисов с помощью CI/CD в Kubernetes в несколько дата-центров. — Демонстрировать структурированный подход к написанию тестов. — Обеспечивать бесперебойную работу сервиса и заданный уровень SLO. — Быть примером для подражания для менее опытных коллег и транслировать ценности команды. Требования: — Опыт проектирования и разработки бэкенд-сервисов от 6+ лет на любом языке программирования. — Практический опыт разработки на Go последние 4-5 лет. — Опыт работы с реляционными и нереляционными базами данных, с брокерами сообщений. — Умение структурировано и доступно выражать свои мысли, а также аргументированно отстаивать свою позицию. — Ориентация на решение проблем пользователей и бизнеса, технологии не являются самоцелью. — Локация в РФ. Условия: — Удалённый формат работы. — Гибкий график, фулл-тайм. — Возможность получить широкую экспертизу в разнообразных доменах бизнеса. — Влияние на развитие продуктов и на технические решения. — Обмен знаниями и технический рост. — Конкурентная зарплата (b2b контракт, ИП).

Location: Costa Mesa, United States ABOUT THE JOB We are looking for a FPGA Verification Engineer to join our rapidly growing team in Costa Mesa, CA . You will own verification of FPGA/SoC designs on AMD (Xilinx) platforms for flight-critical avionics, with a focus on UVM-based methodology and coverage-driven verification. This will require expertise in SystemVerilog, object-oriented programming, and UVM. If you are someone who has supported rapid avionics development, then this role is for you. WHAT YOU’LL DO Architect and implement UVM verification environments (drivers, monitors, predictors, scoreboards) for AMD (Xilinx) FPGA/SoC designs Develop verification plans with traceability to system and hardware requirements Author SystemVerilog Assertions (SVA) for protocol compliance and design intent checks Build functional coverage models and drive code coverage analysis to closure Develop constrained-random and transaction-level test sequences to maximize coverage and uncover corner-case bugs Establish and maintain regression suites, tracking coverage metrics and verification progress Debug failures using waveform tools and simulation logs at the HDL and system level Collaborate with design engineers on RTL reviews, bug resolution, and micro-architecture refinement Support hardware validation and board bring-up on target platforms Ensure verification meets DO-254 and relevant safety standards Author verification closure reports and coverage analysis summaries REQUIRED QUALIFICATIONS Bachelor’s degree in Electrical Engineering, Computer Engineering, or related field 2+ years of experience in FPGA/ASIC verification Proficient in SystemVerilog, UVM methodology and SVA, with experience contributing to and extending UVM testbenches Object-oriented programming principles Industry simulators (Questa, VCS, Xcelium, or Vivado) Git-based collaborative workflows including code review Linux development environments Strong communication and teamwork skills Eligible to obtain and hold a U.S. Secret security clearance PREFERRED QUALIFICATIONS 5+ years of experience in FPGA/ASIC verification Master’s degree in Electrical Engineering, Computer Engineering, or related field DO-254, avionics verification standards for UAS, and safety-critical verification processes SVUnit or equivalent unit-testing frameworks Formal verification or CDC verification tools Digital interfaces: Ethernet, PCIe, JESD204C, MIL-STD-1553, SPI Verification automation scripting (Python, Tcl, Makefile) SoC and ARM-based embedded platforms Verification automation, CI/CD integration, and Nix-based build environments

Location: Spain; Serbia; Poland; Ukraine; Portugal; North Macedonia; Bosnia and Herzegovina; Romania Workplace: remote About Provectus Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.   Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.   Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX, Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for . Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire:   Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant  HR Interview. Soft skills and expectations HM interview. Tech questions; a live engine

Location: 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 Nebius is looking for a Lead Detection Engineer. This is an individual contributor role with full technical ownership. You'll set the direction for detection engineering: the standards, the tooling, the coverage strategy, and the automation that operationalizes it all. You'll work closely with SOC analysts and Platform Engineering to make detection a first-class engineering discipline. You’re welcome to work in our offices in Tel Aviv, Israel Your responsibilities will include: Detection coverage strategy across endpoint, identity, cloud, and infrastructure — how it's measured, prioritized, and continuously improved. Detection-as-Code pipeline: version control, testing, peer review, CI/CD, and deployment practices for all detection logic. Architecture connecting detections to enrichment, triage, and automated response workflows. Technical standards for how detections are designed, tested, documented, deployed, and retired. Detection quality: fidelity metrics, false positive reduction, coverage measurement, and continuous validation loops. Design and build high-fidelity behavioral detections across SIEM and EDR platforms. Research emerging attacker techniques and translate threat intelligence into scalable, evasion-resistant detections. Validate detections through threat simulations and continuous detection testing. Partner with SOC analysts to close the feedback loop between detections and real investigations. Define and track detection engineering metrics; communicate coverage posture and effectiveness to security leadership. Make architectural decisions that scale as the team and organization grow. We expect you to have: Minimum 3 years in detection engineering, security operations, or a hybrid offensive/defensive role — with demonstrated depth, not just breadth. Experience owning or leading detection engineering work as a senior technical contributor Strong understanding of attacker tradecraft and adversary behavior. Hands-on experience with at least one enterprise SIEM and EDR platform — Splunk, Microsoft Sentinel, CrowdStrike, or equivalent. Cloud security depth across Azure, AWS, or GCP. Strong query development skills in SPL, KQL, Sigma, or similar. Strong scripting skills (python, powershell etc) Solid engineering practices: Git, CI/CD, code review, Detection-as-Code workflows. Experience using MITRE ATT&CK to design, validate, and measure detection coverage Ability to make and defend technical decisions and establish standards others adopt. It will be an added bonus if you have: Offensive security background or certifications. Experience with threat hunting and detection validation frameworks. Experience designing SOAR playbooks and automated response workflows. Experience building AI-assisted detection, investigation, or triage workflows. 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.

Задачи: — Проектировать отказоустойчивые технические решения — Разрабатывать высоконагруженные микросервисы по задачам платформы backend — Отвечать за код до момента релиза и после: делать код-ревью, писать автотесты, релизить, настраивать мониторинги — Развивать направление на Golang, при желании перехода в будущем, делиться знаниями и практиками между разработчиками других микросервисов Требования: — Качественный опыт написания кода на python от 3 лет — Опыт написания кода на golang и желание развиваться в нем — Умение и практика написания тестов — Свободное владение linux (bash, sed, grep и другие утилиты) — Опыт работы с СУБД: postgresql, MongoDB, ElasticSearch, Redis — Опыт работы с CI/CD: gitlab, docker, kubernetes — Знание классических алгоритмов и структур данных Условия: — Официальное трудоустройство и конкурентная заработная плата — Уютный и современный офис в шаговой доступности от станций метро Дмитровская, Савёловская, рядом с Флаконом и Хлебозаводом — Гибридный формат работы (или возможность переехать в Москву из регионов России) — Предоставление современной рабочей техники, дополнительного монитора и многое другое для комфортной работы — Гибкое начало рабочего дня по согласованию с руководителем — Забота о здоровье: консультации психолога, юриста, финансового консультанта и специалиста по ЗОЖ, после испытательного срока - ДМС (со стоматологией) и страховка для выезда за рубеж — Поддержка в обмене знаниями и идеями: поощрение выступлений на митапах и помощь с подготовкой докладов — Бесплатная подписка на сервис корпоративных скидок и предложений BestBenefits, доступ к онлайн-библиотеке издательства «МИФ»

Location: Portugal; Albania; Georgia; Greece; Bulgaria; Kosovo; Bosnia and Herzegovina; Armenia; Italy; Spain; Malta; Romania; Ireland; Croatia; Serbia; Montenegro Workplace: Remote ABOUT BLOCK LABS Block Labs is a premier technology studio operating at the bleeding edge of Web3, Artificial Intelligence, and iGaming. We don't just ship features; we engineer high-scale, production-grade platforms that power the next generation of digital products. We are a collective of senior engineers, product strategists, and builders who refuse to compromise on architecture. Whether we are designing autonomous multi-agent AI systems, building decentralized financial infrastructure, or architecting high-frequency iGaming platforms, our standard is excellence. We move fast, but we build for the long term. If you are looking to work alongside a team that values deep technical expertise, thoughtful system design, and product ownership, Block Labs is where you belong. THE ROLE Data & Intelligence now sits at the centre of several products we are developing, and we need a platform that is both dependable and capable of supporting more advanced intelligence over time. This role reflects that shift. We are designing a new data platform that will act as the backbone for everything from real time decisioning to predictive modelling. As a Data Platform Engineer in the Data Team, you will own the end-to-end real-time pipeline, serving data across a unified analytical warehouse and feature-serving layer. You are not building dashboards. You are engineering the commercial nervous system of a multi-tenant platform designed to scale from one operator to 10x with marginal infrastructure cost. KEY RESPONSIBILITIES: - Design, build, and maintain scalable data pipelines using AWS Glue (PySpark), or equivalent orchestration and transformation tools. - Engineer and optimise the ClickHouse warehouse for sub-second query performance across all back-offices. - Implement data contracts between back-office and the platform. Onboarding a new operator is a config change, not new tables, topics, or feature views. - Build the feature-serving layer providing pre-computed features to AI agents at millisecond latency. - Integrate with third-party databases, back-office APIs, and external systems (CRM, affiliates, acquisition platforms). - Establish monitoring, alerting, and maintenance procedures including pipeline health checks, freshness monitoring, anomaly detection, and data contract SLA enforcement. - Own CI/CD and infrastructure-as-code for data workloads. - Collaborate with data scientists, agent engineers, BI developers, and infrastructure teams to translate data requirements into reliable, production-grade pipelines. ABOUT YOU: - 3+ years building and operating production data pipelines at scale, with hands-on experience across both streaming and batch paradigms. - Expertise in Apache Kafka (or Amazon MSK): topic design, consumer group management, offset handling, schema registry operations, and production troubleshooting of lag, rebalancing, and throughput issues. - Strong SQL and warehouse engineering skills: experience with columnar analytical databases (ClickHouse strongly preferred, or similar: Druid, BigQuery, Redshift). - PySpark / Spark Streaming proficiency: writing transformation jobs that normalise, enrich, and enforce business rules on event streams. Experience with AWS Glue, Apache Airflow, or Apache NiFi is a strong plus. - Data modelling discipline: ability to design normalised, multi-tenant schemas where tenant isolation is a filter, not a fork. Experience with data contracts and schema governance. - CI/CD and infrastructure-as-code experience: automated testing of data pipelines, version-controlled deployments (CloudFormation, Terraform, or CDK), and familiarity with containerised workloads (ECS Fargate or Kubernetes). - Data quality and observability mindset: experience implementing pipeline health monitoring, automated data validation (Great Expectations or equivalent), freshness checks, and anomaly detection. NICE TO HAVE - Experience in iGaming, online casino, poker, or sportsbook platforms. - Exposure to blockchain or crypto-native transaction flows, including on-chain event ingestion, token-denominated accounting, or stablecoin settlement. - Comfortable operating in an AWS-native environment (MSK, Glue, S3, DynamoDB, ECS, IAM). You understand serverless tradeoffs and can size infrastructure for cost efficiency. - Feature store experience (SageMaker, Feast, or Tecton) building offline/online feature pipelines that serve ML models at inference time. - Prior work in regulated industries (financial services, gambling, fintech) where data lineage, auditability, and compliance are non-negotiable. - Experience migrating legacy query engines (Athena, Trino, Presto) to modern analytical warehouses with reconciliation frameworks to validate correctness. HOW WE WORK - Fully remote with asynchronous-first communication. EU time zone overlap is preferred. - Small, high-autonomy team within the Data function. You report to the Head of Data and co-ordinate with the AI, BI, and Infrastructure Teams. - Architecture decisions are documented and debated. You will participate in design reviews and own your domain decisions. - We build for multi-tenant scale from day one. Every pipeline, schema, and contract you ship must absorb a new operator without engineering effort. - On-call rotation will be established in the run phase. During the build phase, the focus is velocity with quality. No firefighting legacy systems. What kind of culture can I expect? Mature, mission-driven, and low-ego. We value clarity over noise, outcomes over theatrics, and pace without chaos. If you’re one of the smartest minds in your craft and want to build with other experts, you’ll feel at home here.

Location: Remote / Boston / Salt Lake City / San Francisco / New York The financial industry is growing at a record pace, but our data providers are still stuck in the past — with cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs. Databento is the market data platform for modern finance. The company provides real-time and historical data across futures, options, and equities through a unified API. By owning the entire market data stack end-to-end, Databento is the first platform of its kind to combine the performance and reliability demanded by the world's leading trading firms with a dramatically simpler developer experience. Our team includes alumni of Two Sigma, Citadel Securities, Flow Traders, IMC, Tower Research, Jump Trading, HRT, Jane Street, and SIG. We're looking for a midlevel or senior IC to join our core engineering team. You'll be responsible for implementing and maintaining our Java client library, and also working alongside our core engineering team on the most performance sensitive parts of our codebase. Responsibilities Own and maintain our Java client library, ensuring it is robust, well-tested, and easy for external users to integrate with. Design, develop, and maintain high-performance server applications in C/C++. Write message parsers and feed handlers for direct market data feeds from trading venues. Optimize existing codebase for high throughput (millions of messages per second, up to 40+ gigabits) and low latency (measured in nanoseconds). Implement tools and libraries for petabyte-scale data processing and analysis. Collaborate with the systems team to implement best practices for build, deployment, CI/CD. Implement monitoring and improve application uptime. Ensure smooth feature rollouts and updates. Preferred background 5+ years of full-time software engineering experience, preferably at a trading firm, tech company, or high-growth startup. Strong proficiency in both C/C++ and Java. Experience with C# is a plus. Experience designing APIs with a strong focus on intuitive, developer-friendly interfaces. Familiarity with open source best practices, including release management, versioning, changelogs, issue triage, and backwards compatibility. Knowledge of systems programming, algorithms, data structures, multithreading, networked I/O, serialization, CPU architecture, kernel, and compilers. Experience working with multiprocess environments. Comfortable with lldb/gdb. Good communication skills and work ethic for a remote workplace. An interest in low-level optimization and performance engineering. An interest in financial data or algorithmic trading. We offer health, dental, disability, and life insurance benefits, as well as 401(k) matching for full-time employees. We accommodate 100% remote work, with teammates living around the globe and paid in their local currency. The base salary range for this role is $150,000–$250,000, benchmarked to Tier 1 locations in each country. Total compensation may also include bonuses, commissions, and equity, depending on the role. Notice about phishing scams Be cautious of phishing scams impersonating Databento that offer fake job interviews and request purchases. Official emails come only from @databento.com or us.greenhouse-mail.io (our ATS). Any other domains (e.g., databento-careers.com, databento.online) are fraudulent. -- Databento, Inc. provides equal employment opportunities to all employees and applicants regardless of race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. We comply with federal, state, and local nondiscrimination laws in every location where we operate. This policy applies to all terms and conditions of employment, including recruiting, hiring, promotion, termination, layoff, recall, transfer, leave, compensation, and training. Pursuant to applicable laws, we consider qualified applicants with arrest or conviction records. If you need an accommodation, please let us know. Our recruiting data suggests that underrepresented applicants often downplay their skills. Even if your experience doesn’t exactly match the qualifications listed, we still want to hear from you. Please apply!

Location: Remote / Boston / Salt Lake City / San Francisco / New York The financial industry is growing at a record pace, but our data providers are still stuck in the past — with cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs. Databento is the market data platform for modern finance. The company provides real-time and historical data across futures, options, and equities through a unified API. By owning the entire market data stack end-to-end, Databento is the first platform of its kind to combine the performance and reliability demanded by the world's leading trading firms with a dramatically simpler developer experience. Our team includes alumni of Two Sigma, Citadel Securities, Flow Traders, IMC, Tower Research, Jump Trading, HRT, Jane Street, and SIG. We're looking for a midlevel or senior IC to join our core engineering team. You'll be responsible for implementing and maintaining our C# client library, and also working alongside our core engineering team on the most performance-sensitive parts of our codebase. Responsibilities Own and maintain our C# client library, ensuring it is robust, well-tested, and easy for external users to integrate with. Design, develop, and maintain high-performance server applications in C++. Write message parsers and feed handlers for direct market data feeds from trading venues. Optimize existing codebase for high throughput (millions of messages per second, up to 40+ gigabits) and low latency (measured in nanoseconds). Implement tools and libraries for petabyte-scale data processing and analysis. Collaborate with the systems team to implement best practices for build, deployment, CI/CD. Implement monitoring and improve application uptime. Ensure smooth feature rollouts and updates. Preferred background 5+ years of full-time software engineering experience, preferably at a trading firm, tech company, or high-growth startup. Strong proficiency in both C++ and C#. Experience with Java is a plus. Experience designing APIs with a strong focus on intuitive, developer-friendly interfaces. Familiarity with open source best practices, including release management, versioning, changelogs, issue triage, and backwards compatibility. Knowledge of systems programming, algorithms, data structures, multithreading, networked I/O, serialization, CPU architecture, kernel, and compilers. Experience working with multiprocess environments. Comfortable with lldb/gdb. Good communication skills and work ethic for a remote workplace. An interest in low-level optimization and performance engineering. An interest in financial data or algorithmic trading. We offer health, dental, disability, and life insurance benefits, as well as 401(k) matching for full-time employees. We accommodate 100% remote work, with teammates living around the globe and paid in their local currency. The base salary range for this role is $150,000–$250,000, benchmarked to Tier 1 locations in each country. Total compensation may also include bonuses, commissions, and equity, depending on the role. Notice about phishing scams Be cautious of phishing scams impersonating Databento that offer fake job interviews and request purchases. Official emails come only from @databento.com or us.greenhouse-mail.io (our ATS). Any other domains (e.g., databento-careers.com, databento.online) are fraudulent. -- Databento, Inc. provides equal employment opportunities to all employees and applicants regardless of race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. We comply with federal, state, and local nondiscrimination laws in every location where we operate. This policy applies to all terms and conditions of employment, including recruiting, hiring, promotion, termination, layoff, recall, transfer, leave, compensation, and training. Pursuant to applicable laws, we consider qualified applicants with arrest or conviction records. If you need an accommodation, please let us know. Our recruiting data suggests that underrepresented applicants often downplay their skills. Even if your experience doesn’t exactly match the qualifications listed, we still want to hear from you. Please apply!

Задачи: — Разработка и поддержка серверных приложений и RESTful API на Kotlin (Ktor или Spring Boot). — Проектирование микросервисной архитектуры с паттернами межсервисного взаимодействия. — Проектирование и оптимизация схем баз данных PostgreSQL/MongoDB, реализация кэширования (Redis). — Интеграция брокеров сообщений (Kafka, RabbitMQ) для асинхронной и событийно-ориентированной обработки. — Реализация аутентификации и авторизации (JWT, OAuth2), написание чистого и документированного кода. — Контейнеризация приложений с Docker, оркестрация с Kubernetes, настройка CI/CD. — Написание unit и интеграционных тестов (JUnit, MockK), оптимизация производительности. — Взаимодействие с мобильными и фронтенд-командами по API контрактам, участие в код-ревью. Требования: — Опыт коммерческой backend-разработки на Kotlin от 3 лет. — Глубокие знания Kotlin и практический опыт с Ktor или Spring Boot. — Понимание REST API и опыт работы с PostgreSQL/MySQL и ORM. — Практический опыт с Coroutines, Flow, брокерами сообщений (Kafka, RabbitMQ, Redis). — Знание микросервисов, стратегий кэширования, контейнеризации (Docker, Kubernetes). — Опыт работы с Git, CI/CD инструментами, тестовыми фреймворками (JUnit, MockK, Kotest). — Базовые знания облачных платформ (AWS, GCP, Azure) и лучших практик безопасности. — Сильные навыки решения проблем и умение работать в распределенной команде. — Английский язык на уровне B2 и выше (письменно и устно). Будет плюсом: — Опыт с GraphQL, gRPC, event sourcing/CQRS. — Знания Elasticsearch, serverless, распределенного трейсинга. — Опыт с другими JVM-языками (Java, Scala), потоковой обработкой данных (Kafka Streams, Flink). — Знакомство с поисковыми системами, MLOps, блокчейн-бэкендом. — Вклад в open-source проекты на Kotlin или backend. Условия: — Удаленная работа, полный рабочий день, аутсорс/аутстафф. — Географические ограничения: кандидаты из Египта, Индии, Пакистана и Афганистана не рассматриваются.

About the team The KYC team focuses on driving operational excellence by automating and optimizing processes for Airwallex’s internal ops teams. They build tools and systems to streamline user onboarding and registration approval, predict and mitigate user risk (including blocking malicious users), and leverage AI and automation to enhance the efficiency of internal operations. What you’ll do As an Engineering Lead / Manager in the KYC team, you will play a key role in developing and optimizing critical systems and tools to improve user onboarding, automate manual operations, and enhance risk detection. You will work closely with product, operations, and engineering peers to deliver impactful technical solutions at scale. You will mentor and guide others as the team grows. This role is based in Singapore. Responsibilities: 1. Design, build, and maintain scalable automation tools and systems that improve internal operational efficiency and customer onboarding experience. 2. Develop and implement AI and data-driven solutions to predict user risks and prevent fraudulent/malicious activities. 3. Collaborate with stakeholders (product managers, operations, compliance, and other engineering teams) to define requirements and deliver impactful solutions. 4. Participate in architectural discussions and code reviews, contributing to high-quality engineering standards. 5. Continuously improve system reliability, performance, and scalability. 6. Serve as a technical role model for junior team members and support their technical growth when needed. Who you are Minimum qualifications: 1. Bachelor’s degree in Computer Science or related fields. 2. At least 5+ years of software engineering experience. 3. Strong ability to quickly understand complex business processes and propose effective technical solutions. 4. Excellent organizational and communication skills, with proven ability to collaborate across different teams and stakeholders. 5. Solid software engineering skills, with experience in backend or frontend development using Kotlin/Java/React/TypeScript. 6. Hands-on experience in building scalable, robust automation or workflow systems. 7. Self-driven and proactive in identifying problems and driving improvements. Preferred qualifications: 1. At least 1+ year of experience leading or mentoring engineers, ideally as a team lead or project lead. 2. Experience applying AI or machine learning techniques to solve real-world problems, especially in automation or risk detection scenarios. 3. Familiarity with commonly used automation and workflow tools in cloud environments (e.g., AWS, GCP, Kubernetes, CI/CD pipelines). 4. Experience mentoring or guiding junior engineers in a technical capacity. 5. Previous experience working in fintech, payments, or a fast-paced startup environment. 6. Familiarity with compliance, risk control, or onboarding related business domains is a plus.

Location: Limassol, Cyprus FP Markets Group of Companies is a well-established multi-regulated broker, founded in Australia, offering traders access to CFD trading on Forex, Indices, Commodities, Stocks and Cryptocurrencies. We are growing and looking to recruit a Full-time Senior AQA Engineer (Fullstack) in the Cyprus office - a certified Great Place to Work®. We are developing a social trading platform and are looking for a strong automation engineer who will build end-to-end test coverage across all product layers, with a primary focus on native mobile applications (iOS / Android) and web. This is a role with real autonomy — you will not be "just another QA in the team," but the person who defines quality standards and gradually builds a process where code physically cannot be pushed to production without passing tests. Currently, there are no automated tests for the mobile applications at all — you will be responsible for building automation from scratch and establishing the surrounding processes. Reporting to: QA Lead Responsibilities: Design and develop a mobile automation framework from scratch for native iOS and Android applications Develop and maintain the backend automation framework (API testing) Cover critical social trading user scenarios: trade copying, deposits/withdrawals, trading account operations Extend test coverage at the web and API levels Integrate tests into CI/CD: execution on every commit, pipelines, reporting Establish pre-commit quality gates using Git hooks (husky / pre-commit) — mandatory test execution before code reaches the repository Execute tests on real devices, emulators/simulators, and cloud device farms Drive automation culture: introduce stabilization/automation iterations to prevent coverage degradation over time Candidate profile: Mobile Experience building mobile automation frameworks from scratch for iOS and Android Native drivers: XCUITest (iOS) and Espresso / UiAutomator2 (Android) Appium 2.x/3.x as a cross-platform tool for native / hybrid / mobile web Strong hands-on experience with Android Studio (ADB, emulators) and Xcode / Simulator Experience running tests on real devices and cloud farms (BrowserStack) Understanding of mobile app architecture, locator strategies, gestures, and testing under different network conditions Understanding that mobile tests are more logically maintained within the application repository rather than as a separate project in another language Languages and Frameworks Strong Java skills (modern versions); solid understanding of OOP Kotlin and Swift knowledge is a plus Test runners and assertions: JUnit 5, test data generation with Instancio / JavaFaker Web / API UI automation with Playwright (Java), Page Object Model, stable locators API automation: REST Assured, REST API and authorization handling Understanding of flaky tests and retry strategies Data Handling Databases: MariaDB / MySQL, state validation via SQL / JDBC Test data setup and cleanup CI/CD and Processes Build management with Gradle, custom tasks for different test suites CI/CD: GitLab CI / Jenkins, integrating automated tests into pipelines Git hooks / husky / pre-commit as a quality gate Reporting: Allure Test management: Jira Nice to Have Experience in fintech / trading / payment products Experience using AI tools in testing (Copilot, AI assistants for test generation/analysis) Experience with Testcontainers Familiarity with App Store / Google Play guidelines Our offer: A certified Great Place to Work®  reflecting our commitment to a positive culture, employee well-being, and support Welcoming, young and multicultural team with approachable leadership Ability to contribute to dynamic business at a growth phase High level of autonomy, support of ideas and putting your expertise into the best practices for the company Continuous personal development, training budget, growth with the company and opportunity to learn from industry leaders Competitive remuneration, regular salary reviews and performance-based incentive schemes Vibrant company life: from team activities to global celebrations New beautiful office in an easily accessible location with company-provided fruits, breakfasts and lunches Free access to multiple sports and wellness facilities across the country Free company-provided parking Medical insurance and pension fund after probation period A gift and a day off on your Birthday Visa and work permit support if required Journey to FP Markets: Interview with HR (30 - 45 min) Technical interview with your future manager (1 - 1.5h) Join our team and be a part of a professional, rapidly-growing company operating in a multicultural environment!

Location: Poland; Slovakia; Slovenia; Georgia; Armenia; Serbia We are looking for a Go Developer to join a team working on regulatory, fiscal, and compliance projects. The role requires a self-sufficient engineer who can understand business requirements, collaborate with analysts and teammates, and deliver stable, production-ready solutions. The customer is a global mobility and urban services platform operating across multiple countries and regions. The platform provides transportation, delivery, and other urban services for a global user base. Responsibilities Review business requirements and validate technical solutions. Contribute to implementation planning. Develop integration services with external providers and public systems. Implement fiscalization and electronic invoicing functionality. Deliver production-ready solutions. Maintain service stability through monitoring, logging, and incident response. Collaborate on regulatory services. Independently deliver integration tasks after onboarding. Requirements Requirements Strong commercial experience with Go, including: Memory management Garbage collection Concurrency Experience building REST APIs. Experience with Kafka for asynchronous messaging. Strong knowledge of MySQL (or another relational database), including: Transactions Indexes Locking mechanisms Experience implementing Redis caching strategies. Experience with Docker and Kubernetes, including Helm. Hands-on experience with CI/CD pipelines (GitLab CI or GitHub Actions). Technology Stack Go REST API Kafka MySQL Redis Docker Kubernetes (Helm) CI/CD

Location: Netherlands; Romania; Bulgaria; Canada; Serbia; Germany; United States; Spain; Hungary; United Kingdom; Portugal; Moldova; Poland Workplace: Remote ABOUT THE COMPANY Turning marketing into a market-domination weapon, we created a new category — the marketplace for future customers. Businesses shop for leads as they shop for products in e-commerce: you see everything about a lead before you buy — full transparency, control, and predictable outcomes. We're the #1 lead marketplace in the USA, and we're accelerating. ROLE OVERVIEW We're looking for a Senior AI Product Engineer to build the AI operating layer behind our marketplace. You take a valuable but unclear business problem — improve lead quality, cut refunds, automate a manual workflow, extract intelligence from calls — and turn it into a dependable production system end-to-end: investigate, define success, design, build, deploy, and improve on real usage data. You are a one-person AI product team for high-leverage problems, not a spec-taker. We are expanding beyond real estate into new service-business niches, and growth is powered by reusable software and automation — not proportional growth in manual work. Every system you ship either compounds into that leverage or exposes where it leaks — no in-between. WHY THIS ROLE EXISTS Our growth is not limited by ideas or data — we already run 40K+ members, 750+ verified daily leads, and 50B data points powering AI. It's limited by how fast we can turn ambiguous, high-value problems into shipped AI systems that actually move business metrics. We need a builder who owns the complete production outcome — not a prompt tinkerer, not a researcher, not a PM who delegates the build. REQUIREMENTS: - Strong record of building and shipping production software end-to-end, ideally in a SaaS, marketplace, or workflow product — with real users and real revenue on the line. - Strong Python and/or TypeScript, plus solid backend fundamentals: APIs, databases, auth, data models, testing, and deployment. - Hands-on experience shipping LLM-powered functionality using model APIs, structured outputs, tool/function calling, retrieval, context engineering, and agentic workflows. - Production automation experience: webhooks, events, queues, schedules, retries, idempotency, monitoring, and failure recovery — not just happy-path demos. - Practical evaluation skills: test sets, traces, quality metrics, regression checks, feedback loops, and root-causing real production failures. - Daily fluency with AI coding agents (Claude Code, Codex, Cursor, or equivalent) — you review, test, refactor, and secure generated work, not ship it raw. - English C1+; our stakeholders, users, and business owners are US-based, and communication must be sharp and clear. - AI-first by default — if you are not already using AI to 3x your own output, you will be behind the rest of engineering. - Product ownership and strong judgment in ambiguous, fast-moving environments — you clarify goals, make tradeoffs, and connect every technical decision to a business KPI. WHAT YOU'LL BE DOING: - Discover high-value product and operational problems by working directly with users, business owners, and internal teams, then frame clear success criteria before writing code. - Design and ship customer-facing AI features and internal automations across lead quality, matching, prediction, call intelligence, CRM, support, and operations. - Build agents and workflows that safely use tools, APIs, databases, calls, SMS, email, and other company systems — with human approval where risk requires it. - Create the context layer around models: instructions, retrieval, memory, structured outputs, tool definitions, permissions, and feedback loops. - Build reliable event-driven and scheduled automation using webhooks, queues, schedulers, retries, idempotency, audit logs, and graceful fallbacks. - Create evaluation datasets and automated checks that measure usefulness, accuracy, failure modes, regressions, latency, and cost — before and after release. - Investigate real production failures and improve the complete system, not just the prompt or the model response. - Turn successful solutions into reusable components and patterns that support additional iSpeedToLead niches without rebuilding from zero. - Own architecture, quality, security, and business outcomes — not just the pull request. THIS IS NOT FOR YOU IF - You want a prompt-only role or a research position focused on training foundation models. - You do no-code-only automation and can't own real production code. - You call yourself a product manager who delegates the build. - You ship unreviewed "vibe coding" and call it done. - You need a complete spec before you can start. - You optimize for demo quality instead of measurable business impact. WHAT WE EXPECT FROM YOU (FIRST 3 MONTHS) We don't do long onboarding: access on day one, context in days, first shipped improvement in the first 30. - Days 1–30 — Understand and ship: you have learned the product, data, and workflows, identified the best first problem with evidence, and released one useful, low-risk improvement in production. - Days 31–60 — Own the workflow: you have launched one meaningful AI product or automation with evaluation, monitoring, clear ownership, and a human fallback — running against real marketplace volume. - Days 61–90 (the bar) — Prove and repeat: the system shows measurable business impact (fewer manual hours, faster verification, lower refunds, better matching, higher conversion, or shorter time from idea to production), reliability is proven, and the solution is turned into a reusable pattern for future workflows or niches. NICE TO HAVE: - Voice AI, call transcription, telephony, SMS, email, CRM, or customer-support automation experience. - Lead generation, marketplaces, real estate, sales technology, or marketing automation background. - Ranking, scoring, prediction, experimentation, or data pipeline experience. - Cloud deployment, Docker, CI/CD, observability, security, and handling sensitive customer data. - MCP, vector search, LangGraph or equivalent orchestration, Temporal, n8n, or custom workflow engines. - Track record taking a product or automation from zero to one in a fast-moving startup. WHAT WE OFFER: - Impact: Own visible, high-value problems with direct access to decision-makers, users, and production feedback at the core of a product-led, AI-powered marketplace. - Autonomy: High ownership, low bureaucracy, and real authority to choose tools based on results and define the reusable AI architecture for multiple future niches. - Flexibility: Remote-first culture with flexible hours and async-friendly communication. 4+ hour overlap with Asia/Dubai required for weekly reviews. - Compensation: Competitive fixed base salary above the market average. - Team: Join a smart, passionate team that moves fast, supports each other, and builds cool stuff. - Time Off: 15 paid vacation days plus 5 paid sick days annually. - Growth: Unlimited learning policy — paid courses, books, and growth resources. - AI-Heavy Environment: AI is deeply embedded across prospecting, research, engineering, and workflows. - Ownership: Real decision-making power and direct ownership of your outcomes. Location: Remote, 4+ hour overlap with Asia/Dubai