Вакансии

Задачи: — Руководить командой backend-разработчиков: проводить 1-on-1 встречи, давать фидбек, проводить performance review, планировать развитие сотрудников — Участвовать в найме: проводить собеседования, оценивать кандидатов, организовывать онбординг — Выстраивать процессы: планирование, приоритизация задач, code review, организация on-call и разбор инцидентов — Работать с продуктом, риск-аналитиками и командой платёжного шлюза, переводить бизнес-требования в технические задачи — Отвечать за архитектуру антифрод-платформы: скоринг в реальном времени, rule engine, velocity-счётчики, blacklist/whitelist — Проектировать и оптимизировать хранение и агрегацию событий на PostgreSQL/TimescaleDB и Redis — Контролировать latency и надёжность: SLO, мониторинг, алертинг, capacity planning — Писать код и проводить ревью в критичных местах Требования: — 5+ лет коммерческой разработки на C#/.NET, уверенное знание современного .NET, асинхронности, производительности — 1-2+ года опыта руководства командой разработчиков (формально или как tech lead) — Опыт в антифроде, риск-скоринге или платёжных системах — Высокий уровень ответственности, автономность, способность самостоятельно вести delivery продукта — Знание PostgreSQL: проектирование схем, индексы, планы запросов, партиционирование — Опыт работы с Observability-стеком: метрики, логи, трейсинг — Опыт проектирования систем с жёсткими требованиями к latency и отказоустойчивости — Будет плюсом опыт с TimescaleDB или другими time-series решениями — Понимание PCI DSS и работы с чувствительными данными

Компания: Lagrange Labs Формат: remote Уровень ЗП: от 5 000 до 7 000 USD Занятость: full-time 🖥 Формат Удалённая 🕹 Работодатель Lagrange Labs 🕹 Список обязанностей: — Развертывание и эксплуатация инфраструктуры для генерации ZK-доказательств в промышленном масштабе. — Управление парком блокчейн-нод (Full nodes, Archive nodes) в различных сетях.

-Разработка и развитие backend-сервисов для AI/Agent-платформы на Python. -Проектирование и реализация асинхронных task-processing pipeline: постановка задач, очереди, воркеры, статусы, retries, idempotency.

Location: San Francisco, CA or Seattle, WA Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ ABOUT THE ROLE Docker helps developers build, share, and run software with confidence. As AI agents take on more of the development workflow, we’re extending that mission: giving developers the freedom to work with powerful agents in sandboxed environments, with the isolation and controls organizations need to adopt them safely. We’re looking for a Product Manager, AI Gateway to help make secure model access a seamless part of that experience. Sandboxes establish boundaries around where agents execute; the gateway addresses how those agents connect to AI models. You’ll shape experiences that make it easy to get started while giving organizations control over model access, credentials, sensitive data, and usage. This role is about making safety and developer productivity reinforce each other. You’ll partner closely with the Sandboxes team, engineering, design, and customers to turn complex infrastructure and security requirements into intuitive workflows, from a developer’s first sandboxed agent session to organization-wide adoption. You’ll own the gateway’s product direction, balancing choice and interoperability with governance, reliability, and cost. WHAT YOU’LL DO - Own product strategy and prioritization. Define the vision, roadmap, and success measures for the gateway, balancing developer adoption with enterprise requirements. - Understand developers and enterprise customers. Work directly with developers, AI teams, platform engineers, and security stakeholders to uncover needs, validate solutions, and guide investment. - Make secure onboarding simple. Improve the journey from launching a sandbox and authenticating to connecting an agent, selecting a model, and completing the first useful task. - Build a cohesive developer experience. Partner with engineering and design on APIs, CLI tools, administration experiences, documentation, and integrations with AI coding tools. - Shape model access and interoperability. Work directly with inference providers to evaluate model capabilities, plan integrations, and align on capacity, reliability, and pricing. Prioritize model discovery and compatibility so customers can adopt new models without unnecessary integration work. - Define enterprise safety and governance experiences. Translate requirements for identity, access management, credential protection, policy enforcement, and auditability into clear, usable capabilities. - Guide reliability and cost-management decisions. Define traffic balancing, routing, and fallback strategies across multiple inference providers, balancing model quality, latency, availability, and cost. Own inference cost-management priorities, including usage visibility, budgets, and spend optimization. - Drive execution and launches. Write focused product requirements, make explicit tradeoffs, and partner with customer-facing teams on positioning, onboarding, release readiness, and continuous learning. QUALIFICATIONS - 10+ years of product management experience, with experience building developer tools, infrastructure, security, or platform products. - Demonstrated success taking a product from concept to launch, including validating customer demand, defining the initial scope, and driving adoption after release. - Strong technical background, through software engineering experience or ownership of deeply technical products. You can evaluate API designs, understand system architecture, and make informed tradeoffs with engineering. - Hands-on experience with AI tools and agent workflows, and an informed perspective on the challenges of giving agents secure access to models, tools, and data. - Strong product judgment and analytical skills, with examples of using customer research and product data to prioritize investments and measure results. - Excellent written communication and cross-functional leadership, with a track record of aligning engineering, design, and go-to-market teams around a clear strategy and delivering in ambiguous, fast-moving environments. Docker does not offer visa sponsorship for this role.   Compensation & Equity United States: $280,000 – $300,000 + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Paris; Helsinki Workplace: Hybrid ABOUT VOODOO Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way. TEAM The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile gaming industry. Helix is our flagship Ad-Network team of around 60 top-tier engineers and data scientists spanning backend, mobile SDKs, data engineering, infrastructure, and AI. Helix has evolved beyond powering Voodoo's own gaming portfolio—our technology is now directly integrated into games from external, third-party publishers worldwide. Operating across millions of third-party devices in real-time bidding environments creates unique technical challenges around SDK performance, ultra-low latency, and intelligent automation. Within Helix, you'll join the RTB team, the group that owns the bidder and the services behind it that help it take the optimal bidding decision. Bidder, pricing, models and data are all built in-house, so nothing is out of reach when you want to change how a bid gets made. You will work with expert backend and machine-learning engineers in real-time bidding, on a system that prices ad requests across mobile gaming in real time, at a scale few teams get to work at. ROLE We’re looking for a Senior Product Manager - Real Time Bidding to join our Engineering & Data team. In this role, you’ll drive product decisions across the full bidding pipeline. You'll own projects end-to-end: roadmap, trade-offs, shipping, and cross-team contract. You will also: - Own the roadmap of the bidding pipeline. How we target, price, pace and cap, and what goes live in the bid path and when. - Own the delivery. Adapt to changes, set clear priorities, communicate effectively - Own experimentation as a product. Other teams test ideas on the bidder through the framework we build. You make sure they can run the experiments they need, trust the results, and get an answer fast. - Keep the pieces fitting together. You spot a change in one team that will break another before it reaches production. - Contribute to the product strategy beyond your scope. PROFILE (MUST HAVE) - Experience in programmatic advertising. You have worked on pricing, bidding or auction logic on a DSP, bidder or exchange, you know the pipeline from bid request to win, and you can explain the business impact of your work. - Analytical mindset. You back decisions with data and understand the statistical basis of pricing and experimentation. - You own outcomes across teams. When a change in one team is about to break another, you catch it and drive the fix before it ships. - You use AI tooling daily to write specs, analyse data and prototype, and you move faster because of it. PROFILE (NICE TO HAVE) - Mobile user acquisition: app install campaigns, attribution or mediation. - Experience working with ML or data science teams. - Supply-side experience: ad exchange or SSP. - Background in statistics, operations research or economics. BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office - Remote Fridays

Location: Global We are the creators of a new fintech era! Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey. We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA. The future of Web3 starts with you: Join us as an General QA engineer! Requirements Education & Experience Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related STEM field. 3+ years of experience in QA Engineering or Software Testing in a high-throughput or low-latency environment. Experience with quantitative systems, HFT, trading platforms, or financial applications is highly preferred. Core Technical Skills Strong knowledge of software testing methodologies, SDLC best practices, and quality assurance processes. Experience testing REST APIs and WebSocket-based services. Proficiency in SQL for data validation, troubleshooting, and debugging. Experience with API testing tools such as Postman. Hands-on experience with monitoring and observability tools such as Grafana, Prometheus, or Kibana. Confident working knowledge of Linux command-line tools, logs, system utilities, and process monitoring. Experience working with Docker. Proficiency in scripting or programming languages such as Python or Java. Experience with test automation frameworks and libraries such as Pytest, Selenium, or Pandas. Familiarity with version control systems and CI/CD workflows. Experience with automated testing, continuous integration, and deployment processes. Trading & Quantitative Systems Knowledge Understanding of market microstructure and trading products, including spot, futures, and swaps. Familiarity with low-latency and high-frequency trading systems. Strong understanding of mathematics, statistics, and numerical methods relevant to quantitative trading. Ability to reason through quantitative problems and collaborate effectively with researchers, developers, and analysts. Analytical & Problem-Solving Skills Strong analytical and problem-solving skills. Ability to independently investigate and solve complex technical issues. Strong focus on quality, reliability, and system performance. Experience working with complex distributed systems is an advantage. Mindset & Soft Skills Strong interest in technology, quantitative finance, and continuous learning. Team-oriented mindset with strong communication and collaboration skills. High level of ownership, reliability, and attention to detail. Predictable availability to support stable operation of production trading systems when required. Responsibilities As a QA Engineer, you will be part of a high-performance team responsible for developing and maintaining low-latency infrastructure, HFT and quantitative systems, and real-time risk management tools. You will work closely with developers, analysts, researchers, and system engineers to ensure system reliability, scalability, performance, and quality. Key Responsibilities: Design, develop, and execute comprehensive test plans for trading infrastructure and internal tools. Build and maintain automated test suites for real-time quantitative systems and APIs. Ensure adequate test coverage for low-latency, high-availability, and scalable systems. Collaborate with developers and analysts to clarify requirements, identify edge cases, and align testing with business and technical objectives. Investigate, reproduce, and debug issues in complex distributed systems. Contribute to performance testing, latency benchmarking, and system monitoring. Support CI/CD pipelines through automated testing strategies. Maintain high standards of test documentation and test coverage. Working terms Immerse yourself in Crypto & Web3:Master cutting-edge technologies and become an expert in the most innovative industry. Master cutting-edge technologies and become an expert in the most innovative industry. Work with the Fintech of the Future: Develop your skills in digital finance and shape the global market. Take Your Professionalism to the Next Level: Gain unique experience and be part of global transformations. Drive Innovations: Influence the industry and contribute to groundbreaking solutions. Join a Strong Team: Collaborate with top experts worldwide and grow alongside the best. Work-Life Balance & Well-being: Modern equipment. Comfortable working conditions, and an inspiring environment to help you thrive. 24 calendar days of paid leave. Additional days off for national holidays. With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career! Let’s Build the Future Together! WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual.

Location: Global, EU We are the creators of a new fintech era! Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey. We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA. The future of Web3 starts with you: join us as a ! Requirements We're looking for a Senio/Staff-level engineer with an open mind and a builder's instinct - someone who goes beyond executing tasks and is ready to own the High-Performance practice end-to-end: establish engineering processes, drive R&D, evaluate and champion new technologies, and lead their adoption in production. The ideal candidate can bridge the gap between business requirements for low latency and high throughput and the realities of existing infrastructure - translating "we need to be faster" into an actionable technical roadmap. You bring a fresh perspective, know how to organize the work, and are equally comfortable optimizing a hardware parameter and presenting a strategy to stakeholders. We expect 5+ years of hands-on experience as a DevOps/SRE/Systems Engineer in performance-critical environments - and the maturity to grow yourself and grow a team around you. Linux: Advanced administration and OS-level tuning — real-time OS configurations, cgroups, CPU isolation, memory management, and low-level network stack configuration. Hardware Internals: Deep understanding of CPU power and performance states (C/P-states), Hyper-Threading / SMT trade-offs, TX/RX ring configuration, and the full data path from NIC through PCIe to memory and CPU. Ability to reason about and tune each stage of that path under production load. Networking & TCP Internals: Deep knowledge of TCP/IP — congestion control, ACK behavior, buffer tuning, and protocol-level latency sources. Strong Linux networking fundamentals: low-latency NIC configuration, bypass networking technologies (DPDK, RDMA), and market connectivity (multicast feeds, co-location networks, VPNs). Performance Engineering: Practical experience profiling latency-sensitive systems; familiarity with tools such as perf, flamegraph, strace, tcpdump, eBPF, and hardware performance counters. Containerization: Deep knowledge of Docker and Kubernetes, including low-overhead deployment patterns and performance trade-offs of containerized workloads. IaC: Proven track record with Ansible, Terraform, and Helm in production environments. Monitoring: Hands-on experience with the Prometheus / Grafana stack; ability to build latency-aware dashboards and alerting (P99, jitter, throughput KPIs). Scripting: Solid scripting in Bash and Python; Golang is a strong plus given its role in systems tooling. CI/CD & Secret Management: Strong grasp of CI/CD pipelines with experience integrating performance validation stages; familiarity with Vault for secrets management. Security: Understanding of DevSecOps principles and Kubernetes security policies. Key Performance Metrics You'll Work With Latency Distribution - P99 / P99.9 across the tick-to-trade path, using hardware-level timestamps (NIC/PTP). Jitter - variance between min/max latency, measured over large sample sets in live market conditions. Throughput - messages per second (orders + cancels) under exchange burst scenarios. System Reliability - сontinuous monitoring of uptime Extra Credit / Big Pluses Hands-on experience with kernel-level optimization: syscall reduction, network stack bypass (DPDK, RDMA, Solarflare OpenOnload). Background in HFT, algorithmic trading, or other ultra-low-latency production environments. Experience with hardware timestamping, PTP/IEEE 1588, and precision time synchronization. Familiarity with colocation operations and exchange connectivity (cross-connects, proximity hosting). Proven SRE track record with formal SLO/error budget frameworks in latency-sensitive contexts. DevSecOps: vulnerability scanning, Zero Trust, RBAC, and secure delivery pipelines. Understanding of business processes in FinTech, crypto, or electronic trading. Responsibilities Low-Latency Infrastructure Ownership: Design, deploy, and continuously optimize infrastructure for latency-sensitive trading systems — market data handlers, order/deal gateways, and risk check engines. Own the full stack from bare metal to application delivery. Define and maintain a reference architecture for low-latency connectivity when onboarding new trading venues, including reproducible configuration baselines, validation procedures, and performance acceptance criteria — so every new venue goes live on a proven, optimized stack. Cloud & Hybrid Network Connectivity: Design, implement, and maintain complex low-latency network solutions for cloud provider interconnects - including cross-connects and Direct Connect / ExpressRoute links between cloud regions, hybrid on-premise/cloud topologies, and high-throughput inter-server fabrics. Ensure both latency minimization and fault tolerance at every layer: physical redundancy, failover routing, and path diversity across providers and regions. Hardware & OS Stack Tuning: Go deep on the full hardware and OS stack - CPU pinning, C/P-states, HT/SMT configuration, NUMA topology, IRQ affinity, TX/RX ring sizing, NIC offloading, and network stack bypass (DPDK/RDMA where applicable). Understand the complete data path from NIC through PCIe to memory and CPU - and optimize every hop. Infrastructure as Code (IaC): Automate provisioning and configuration of high-performance environments using Ansible, Terraform, and Helm - with performance reproducibility as a first-class requirement. Latency Profiling & Benchmarking: Systematically profile and debug latency hotspots across the full execution path. Establish and maintain SLA/SLO targets; track P99/P99.9 distributions, jitter, and throughput - not just averages. CI/CD for Performance: Build and maintain CI/CD pipelines that include automated latency regression testing, so performance degradations are caught before they hit production. Monitoring & Observability: Design and operate comprehensive latency monitoring and alerting systems (Prometheus, VictoriaMetrics, Grafana) - including hardware timestamping (NIC/PTP) and fine-grained performance telemetry. Colocation & Network Placement: Research, evaluate, and manage optimal server placements - colocations, cross-connects, proximity hosting. Work closely with network and infrastructure teams to minimize physical and logical distance to exchanges. High Availability & DRP: Design systems that maintain stability and reliability under peak load while continuously pushing latency lower - zero regressions, always. Cross-Team Collaboration: Work alongside algo developers, quant teams, and network engineers to ensure trading strategies execute with minimal infrastructure overhead. Working terms Immerse yourself in Crypto & Web3: Master cutting-edge technologies and become an expert in the most innovative industry. Work with the Fintech of the Future: Develop your skills in digital finance and shape the global market. Take Your Professionalism to the Next Level: Gain unique experience and be part of global transformations. Drive Innovations: Influence the industry and contribute to groundbreaking solutions. Join a Strong Team: Collaborate with top experts worldwide and grow alongside the best. Work-Life Balance & Well-being: Modern equipment. Comfortable working conditions, and an inspiring environment to help you thrive. 24 calendar days of paid leave. Additional days off for national holidays. With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career! Let’s Build the Future Together! WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual.

Location: Global, EU We are the creators of a new fintech era! Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey. We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA. The future of Web3 starts with you: join us as a Middle DevOps ! Requirements We're looking for candidates with 3+ years of hands-on experience as a DevOps / SRE and deep expertise in the following technologies: Linux: Advanced administration and OS-level tuning. Containerization: Deep-dive knowledge of Docker and/or Kubernetes. IaC: Proven experience with Ansible, Terraform, Helm. Network: Solid networking skills on Linux, including VPN solutions, Proxies, and Web servers. Monitoring: Practical experience with the Prometheus Stack and Grafana. Scripting: Proven track record writing scripts in Bash, Python (Golang is a nice-to-have/big plus). CI/CD: Strong grasp of core CI/CD tools and experience with secret management using Vault Security: Understanding of DevSecOps principles and hands-on experience configuring security policies in Kubernetes. Extra Credit / Big Pluses Linux: Deep-dive into kernel-level optimization, from syscalls to network card tuning. Experience operating High Availability / Low Latency solutions. Background in building and operating Big Data and Data Analytics platforms. Understanding of business processes in the FinTech/Banking/Crypto sector. Proven track record as an SRE. DevSecOps: Vulnerability detection, enforcing security best practices (Zero Trust, RBAC, secure code delivery), and experience with scanning tools (Trivy or Snyk). Responsibilities Hybrid Infrastructure: Get your hands dirty with both cloud providers and bare-metal servers. This includes administering Linux servers (Ubuntu, CentOS, RHEL), incident resolution, and troubleshooting. A high-level understanding of the Linux stack: Skills in working with files and scripts in Linux, and an understanding of the principles of security, account management and access control. Infrastructure as Code (IaC): Automating deployment and configuration using Ansible, Helm, and Terraform. CI/CD: Building and maintaining rock-solid CI/CD pipelines. Monitoring & Observability: Setting up and optimizing comprehensive monitoring and logging stacks (Prometheus, VictoriaMetrics, GrafanaLabs stack, ELK stack). High Availability & DRP: Designing and implementing architecture that adheres to principles of High Availability (HA), scalability, and Disaster Recovery Planning (DRP). Working terms Immerse yourself in Crypto & Web3: Master cutting-edge technologies and become an expert in the most innovative industry. Work with the Fintech of the Future: Develop your skills in digital finance and shape the global market. Take Your Professionalism to the Next Level: Gain unique experience and be part of global transformations. Drive Innovations: Influence the industry and contribute to groundbreaking solutions. Join a Strong Team: Collaborate with top experts worldwide and grow alongside the best. Work-Life Balance & Well-being: Modern equipment. Comfortable working conditions, and an inspiring environment to help you thrive. 24 calendar days of paid leave. Additional days off for national holidays. With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career! Let’s Build the Future Together! WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual.

Location: Global, EU We are the creators of a new fintech era! Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey. We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA. The future of Web3 starts with you: join us as a Senior DevOps! Requirements We're looking for candidates with 5+ years of hands-on experience as a DevOps / SRE and deep expertise in the following technologies: Linux: Advanced administration and OS-level tuning — real-time kernels, process scheduling, memory management, cgroups, CPU isolation, and I/O optimization. Cloud platforms: Understanding of and experience in building complex systems focused on high availability (HA), low latency and high-performance computing (HPC) Networking: Deep understanding of TCP/IP, UDP, multicast, Ethernet, VLANs, and PTP at the wire level. Experience with low-latency network configurations and familiarity with kernel bypass technologies (DPDK, RDMA) is a strong plus. Containerization: Deep-dive knowledge of Docker and Kubernetes, including performance trade-offs of containerized workloads and low-overhead deployment patterns. IaC: Proven experience with Ansible, Terraform, and Helm in production environments. Hardware Performance: Working knowledge of how CPUs, NIC queues, memory, and storage behave under pressure. Hands-on experience with hardware tuning (BIOS configs, CPU isolation strategies, NIC queue management). Monitoring: Practical experience with the Prometheus / Grafana stack; ability to build latency-aware dashboards and fire meaningful alerts rather than noise. Scripting: Proven track record writing production scripts in Bash and Python. Golang is a significant plus. CI/CD: Strong grasp of core CI/CD tools and experience with secret management using Vault. Security: Understanding of DevSecOps principles and hands-on experience configuring security policies in Kubernetes (Zero Trust, RBAC, secure code delivery). Databases: Solid working knowledge of SQL and/or NoSQL databases under operational conditions. On-Call & Incident Response: High sense of ownership for production systems — willing to participate in on-call rotations and available to respond to critical incidents outside business hours when the situation demands. Extra Credit / Big Pluses Linux: Deep-dive into kernel-level optimization — from syscalls and network card tuning to DPDK or FPGA-based networking. Proven experience operating High Availability / Ultra-Low Latency solutions in live trading environments. Experience with hybrid infrastructures (on-premise + cloud) — colocations, cross-connects, and proximity hosting. Background in building and operating Big Data and Data Analytics platforms. Understanding of business processes in the FinTech / Banking / Crypto / HFT sector. Proven track record as an SRE with formal SLO / error budget frameworks. DevSecOps: Vulnerability detection, enforcing security best practices, and experience with scanning tools (Trivy or Snyk). Blockchain / crypto-native background is a bonus. Responsibilities Hybrid Infrastructure (Baremetal and Clouds): Administer Linux servers (Ubuntu, CentOS, RHEL), drive incident resolution, and take end-to-end ownership of system reliability. Low-Latency Systems Operations: Proactively monitor, troubleshoot, and tune latency-sensitive trading systems and exchange connections across multiple asset classes. You treat P99 latency as a first-class metric. OS & Hardware Tuning: Go deep on the Linux stack — CPU pinning, NUMA topology, IRQ affinity, kernel parameter tuning, NIC offloading, and BIOS-level configurations. If it affects the tick-to-trade path, you own it. Infrastructure as Code (IaC): Automate deployment and configuration using Ansible, Terraform, and Helm with performance reproducibility as a hard requirement. CI/CD: Build and maintain rock-solid CI/CD pipelines (GitLab CI, Jenkins, ArgoCD) including automated performance regression checks. Monitoring & Observability: Design and operate comprehensive monitoring and logging stacks (Prometheus, VictoriaMetrics, Grafana, ELK). Build latency-aware dashboards and alerting — P99/P99.9, jitter, throughput, and error rates. High Availability & DRP: Design and implement architectures adhering to HA, scalability, and Disaster Recovery principles — zero regressions while continuously reducing latency. Cross-Team Collaboration: Partner with quant, trading, and network engineering teams to squeeze every drop of performance from the full stack — from hardware up to application logic. Working terms Immerse yourself in Crypto & Web3: Master cutting-edge technologies and become an expert in the most innovative industry. Work with the Fintech of the Future: Develop your skills in digital finance and shape the global market. Take Your Professionalism to the Next Level: Gain unique experience and be part of global transformations. Drive Innovations: Influence the industry and contribute to groundbreaking solutions. Join a Strong Team: Collaborate with top experts worldwide and grow alongside the best. Work-Life Balance & Well-being: Modern equipment. Comfortable working conditions, and an inspiring environment to help you thrive. 24 calendar days of paid leave. Additional days off for national holidays. With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career! Let’s Build the Future Together! WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual.

About Airship: Airship is a technology company providing a platform for managing omnichannel customer experience, trusted by leading brands like Alaska Airlines, BBC, and The Home Depot. Their platform enables seamless, unified customer experiences across multiple channels including apps, websites, email, SMS, and wallets, using a no-code, AI-powered system designed for non-technical teams. About the Role: As a Backend Java Engineer, you will design, develop, and support distributed systems that combine scale with high reliability. You will work on low-latency services processing continuous event streams and supporting analytical workloads across terabytes of data. The backend infrastructure runs on Google Cloud Platform, using Java-based microservices and SQL and NoSQL databases. You will join a core engineering team shaping Airship’s technical foundations and engineering practices. Tasks: — Design data schemas and take ownership of data semantics — Maintain, improve, and scale Java APIs and distributed services — Investigate performance issues using server metrics, application data, and system behavior — Improve reliability, testability, and maintainability of backend systems — Partner with product and engineering teams on technical design and implementation — Help define technical standards across teams — Lead and own large-scale releases and technical projects — Use AI as a technical assistant to draft development plans and investigate problems or bugs — Critically assess AI-generated suggestions for accuracy, security, and suitability Requirements: — At least three years of experience designing, operating, and maintaining distributed systems — Professional fluency in spoken and written French (required) — Strong Java development skills — Experience with unit testing, code reviews, documentation, and Git-based version control — Experience leading significant releases or technical projects — Familiarity with continuous integration and continuous delivery practices — Strong written and verbal communication skills — Collaborative and pragmatic approach to software development — Commitment to building reliable, maintainable, and testable systems Preferred: — Experience troubleshooting and improving JVM performance — Experience with Google Cloud Platform — Knowledge of distributed NoSQL databases or key-value stores — Strong Linux administration fundamentals Work Location & Travel Requirements: — Remote work allowed, specifically candidates must live in France or the United Kingdom and have the existing right to work there — Up to 10% travel may be required based on business needs or manager requests Compensation: — Starting pay varies based on skills, experience, market demands, and location — All offers include stock options Benefits & Perks: — Medical insurance options for employees and dependents — Flexible time off, paid holidays, parental leave, and volunteer time off — Employer-subsidized mental health and wellness programs — Digital-first work environment with monthly stipend for remote work — Mentorship and growth opportunities AI in Recruiting: — AI tools are used as decision-support only — Human review of AI-generated recommendations is conducted — No applicant is rejected solely based on AI output — Candidates may request human review or opt out of AI evaluation Hiring Commitment: — Airship is committed to diversity and equal employment opportunities — Employment decisions are made irrespective of protected characteristics — Fair Chance laws compliance for applicants with criminal histories Candidates affirm the truthfulness of their application and understand that false information may lead to dismissal.

разработка и поддержка ядра SIEM - написание высокопроизводительного кода для сбора, агрегации и корреляции событий безопасности; создание коннекторов для сбора логов из сетевых устройств, серверов, облачных сервисов, приложений;

– Разрабатывать AI-решения поверх нашей платформы: agentic workflows, tool calling, RAG, memory и human-in-the-loop контуры. – Проектировать multi-agent системы без жёсткой привязки к конкретному фреймворку или SDK — с логикой взаимодействия агентов, состоянием, памятью, маршрутизацией и обработкой ошибок.

• Разработка backend-сервисов и REST API на FastAPI. • Интеграция и работа с LLM.

Ability to build libraries and frameworks of reusable efficient code. Competence in designing and implementing low-latency, stable and performing applications.

разрабатывать и поддерживать сервисы. участвовать в проведении код-ревью.

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

Location: Almaty, Kazakhstan Workplace: OnSite Almaty, Kazakhstan · Trust & Safety Engineering Why this role exists Higgsfield builds tools for AI creators: creative workflows, collaborative projects in Cinema Studio, and a community for sharing work. We need a backend engineer who combines deep database and architecture expertise with the initiative to own product outcomes, from the first idea to production. What you'll actually do - Build AI creation workflows, Cinema Studio collaboration, and community features: sharing, discovery, contests, profiles, and follows. - Own features and bugs through release and follow-up. Define API contracts and coordinate frontend work to deliver the complete feature. - Deliver responsive UX: live progress, timely updates, and clear failure recovery, even when it takes more engineering effort. - Remove database and service bottlenecks under high traffic; improve correctness, latency, and reliability. - Define success metrics, build dashboards and alerts, and track adoption and system health after launch. Must-haves 1. Deep database expertise: data modeling, indexes, query plans, partitioning, transactions, and locking. You diagnose production bottlenecks and understand the trade-offs behind your fixes. 2. Strong architecture judgment: service boundaries, APIs, asynchronous workflows, caching, and failure handling. Hands-on Kubernetes and CI/CD experience, from design and testing to deployment and debugging. 3. A track record of shipping and operating backend systems across multiple projects, including high-traffic workloads. You can explain your decisions and measurable results. 4. API security: authentication, object-level authorization, and tenant isolation. You prevent IDOR in reads and writes, including resource IDs in request bodies, and test access across users and workspaces. 5. You've built or studied social networks and collaborative tools, and can explain design trade-offs in feeds, follow graphs, notifications, sharing permissions, real-time sync, and concurrent edits. 6. High agency and ownership: you find worthwhile problems, propose improvements, remove blockers, and follow through without waiting for assignments. 7. Low ego: you welcome direct feedback, admit mistakes, change your mind with evidence, and help wherever the team needs you. 8. Ambition and optimism: hard goals and rapid growth energize you. You challenge assumptions constructively and commit to making ambitious ideas work. 9. Energy for an intense pace, shifting priorities, and urgent launches or production issues that can require work outside regular hours. Our tech stack - Languages and frameworks: Python (FastAPI), Go (Gin), and TypeScript (React/Next.js on the frontend). - Data: PostgreSQL and Redis; analytical databases such as BigQuery or ClickHouse. - Messaging: Kafka, Amazon SQS, and RabbitMQ; event-driven services and asynchronous workers. - AWS: S3, DynamoDB, ECR, and Secrets Manager. - Infrastructure: Docker, Kubernetes on Amazon EKS, Helm, Argo CD, and GitHub Actions. - Observability: Prometheus, Grafana, OpenTelemetry, and Sentry. Interview process 1. Recruiter screen: role expectations, logistics, and fit. 2. Technical interview: a difficult system you shipped, what you personally decided and built, and how your work made the team more capable without leaving it dependent on you. 3. Additional technical interview, if needed: a deeper discussion of technical skills and open questions. 4. Product fit interview: turn a user problem into a small first release, decide what to leave out, and explain how feedback would change the solution. 5. Offer. What we offer Competitive base in USD, equity, relocation support, and ownership of product experiences that directly shape how people create with AI.

• Разрабатывать ядро прокси, управлять соединениями и жизненным циклом сессий. • Оптимизировать latency, throughput и потребление памяти, устранять блокировки и паузы GC.