Вакансии

Location: Barcelona, Spain; Madrid, Spain; Tenerife, Spain; Bolzano, Italy; Rome, Italy; Budapest, Hungary; Miskolc, Hungary; Petten, Netherlands; Krakow, Poland; Krosno, Poland; Lublin, Poland; Poland; Poznan, Poland; Warsaw, Poland; Bratislava, Slovakia; Bucharest, Romania; Bucuresti, Romania; Ljubljana, Slovenia; Vilnius, Lithuania; Nicosia, Cyprus; Pilsen, Czechia; Podgorica, Montenegro; Praha, Czechia; Banská Bystrica, Slovakia; Sofia, Bulgaria; Zagreb, Croatia Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently looking for a dedicated Lead AI Aplication Engineer to join one of our clients' teams . If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you. Key Responsibilities: Build & Run the Shared AI Platform Architect and maintain a multi-tenant AI Platform that supports the full ML lifecycle across cloud and on-premises environments. Ensure high availability, low latency, and cost-efficiency for all shared AI resources. Implement LLMOps/MLOps best practices, including automated deployment pipelines for models. 2. Curate the AI Services Catalogue Develop and expose "as-a-service" capabilities: Inference-as-a-Service, Embeddings-as-a-Service, and RAG-as-a-Service. Standardize how squads interact with LLMs, providing unified APIs and abstraction layers to prevent vendor lock-in. 3. Manage AI Data Infrastructure Own the deployment and scaling of Vector Databases (e.g., Pinecone, Milvus, Weaviate) and Feature Stores (e.g., Feast, Tecton, Hopsworks). Optimize data retrieval patterns to support real-time AI applications and agentic workflows. Oversee Model Hosting environments, utilizing Kubernetes (K8s) and GPU orchestration to manage compute resources efficiently. 4. Enable Developer Self-Service Build and maintain a Self-Service Portal or CLI that allows product squads to provision AI environments, models, and data stores independently. Reduce "Time-to-Inference" for new features by providing pre-configured templates and blueprints. Conduct internal workshops and provide documentation to empower squads to use the platform effectively. Must-Have Technical Skills Infrastructure: Deep experience with Kubernetes (K8s), Docker, and Terraform/Pulumi. Hybrid Cloud: Proven experience managing workloads across AWS/Azure/GCP and On-Premises (NVIDIA AI Enterprise, OpenShift). AI/ML Tooling: Hands-on experience with vLLM, TGI (Text Generation Inference), or NVIDIA Triton for model serving. Databases: Expertise in Vector DBs and traditional SQL/NoSQL databases. Languages: High proficiency in Python and Go or Rust for platform tooling. Experience 8+ years in Platform Engineering, DevOps, or Site Reliability Engineering (SRE). 2+ years specifically focused on building AI/ML infrastructure or platforms. Experience building Internal Developer Platforms (IDP) is a massive plus.

Должность: AQA Python, Middle+ О компании: Devquality — команда с более чем 10-летним опытом в тестировании. Обязательные требования: — Гражданство РФ, локация РФ — Опыт в автоматизации от 3+ лет — Опыт в методологии обеспечения качества, организация процессов предотвращения дефектов — Опыт тестирования API и баз данных — Знакомство с регрессионным тестированием, автоматизация регресса, отчеты Allure — Внимание к деталям, аналитический склад ума Ключевые навыки и технологии: SQL, Python, Kubernetes (k8s), YAML, Spark, QA frameworks, Apache Iceberg, Allure, S3 Задачи: — Разрабатывать и поддерживать QA пайплайны для MWS Data Lakehouse: юнит-тесты, интеграции, end2end, тесты производительности и защищенности — Проектировать, писать и автоматизировать тест-кейсы — Выполнять ручное тестирование новых фич и сложных data-сценариев — Проводить нагрузочное и стресс-тестирование (1000+ QPS), работать с конкуренцией в StarRocks, S3 интеграциями — Тестировать GitOps-деплойменты и корректность работы Iceberg таблиц — Тестировать интеграции: Iceberg REST Catalog - StarRocks S3/Iceberg - Spark/Trino — Вести баг-трекинг, писать воспроизводимые баг-репорты с логами, метриками и трассировкой данных — Участвовать в планировании спринтов релизного цикла; тестирование тестовых и пре-прод стендов Условия: — удалённая работа — Вилка до 200к на руки

Задачи: — Поддерживать, развивать и мониторить существующие Kubernetes-кластера; — Поддерживать, мониторить, выявлять узкие места СУБД/Key-value хранилищ (PostgreSQL, Redis, Clickhouse); — Поддерживать бесперебойную работу систем очередей на базе (Kafka, RabbitMQ); — Поддерживать и развивать систему мониторинга/алертинга на базе Prometheus, Thanos, Alertmanager, Grafana; — Внедрять AI в системы мониторинга; — Участвовать в устранении и расследовании инцидентов инфраструктуры; — Улучшать и развивать существующий CI/CD процесс на базе GitOps (ArgoCD, Gitlab, Jira); — Автоматизировать развертывание приложений (используется Helm + ArgoCD); — Самостоятельно искать новые возможности для улучшения инфраструктуры и внедрения новых DevOps практик; — Консультировать и поддерживать команды разработки и тестирования. Требования: — Понимание целей внедрения DevOps; — Понимание особенностей эксплуатации Python приложений; — Опыт разработки CI/CD пайплайнов с использованием GitLab; — Опыт работы с Docker/Kubernetes и понимание устройства Kubernetes; — Понимание основ сетевых технологий (семейство TCP/IP); — Опыт администрирования linux-инфраструктуры; — Умение работать самостоятельно, брать на себя ответственность, инициативность. Будет плюсом: — Опыт работы с методологией GitOps; — Знание английского языка; — Большой плюс — знание языков программирования Python, Golang. Условия: — Обязательная релокация в Куала-Лумпур (Малайзия) после успешного прохождения испытательного срока (3 месяца).

Location: Hybrid / Berlin Orcrist is building a next generation data intelligence platform using cutting-edge technologies. We're handling petabyte-scale data with sub-second queries. Our product is a Kubernetes‑based platform delivered as B2B SaaS or as a self‑hosted on‑prem solution, including air‑gapped deployments. We enable customers across defense, law enforcement, and enterprise to turn mission-critical data into actionable intelligence. Role You'll own the layer everything else runs on: bare-metal servers, operating systems, data-center networking, and storage across on-prem and fully air-gapped sites — the physical and infrastructure foundation our platform and GPU fleets are built on. You design, build, and operate server fleets with a strong automation and DevOps mindset, then partner with our SRE, MLOps, and ML teams to ensure everything running above the metal — including GPU inference — performs reliably at scale. Some of this work is hands-on at customer sites, where you size, rack, and commission self-contained server environments with no internet uplink. We weight depth in modern data-center infrastructure, networking, and automation more heavily than GPU-specific experience. A strong infrastructure and network engineer with a genuine automation mindset — even without prior GPU exposure — is a better fit for this role than a candidate with GPU expertise whose networking background is rooted in legacy, corporate-style L2 designs. What you'll do Design, size, provision, and operate bare-metal server fleets across on-prem and air-gapped environments (firmware/BIOS/UEFI, BMC via Redfish/IPMI, OS, RAID, kernel and storage tuning) using zero-touch provisioning (PXE/iPXE, MAAS/Metal3/Tinkerbell/Ironic) and automation (Ansible, Terraform, or equivalent — the tooling matters less than the automation mindset). Build and run modern data-center networking: L2/L3 design, IP Fabric, BGP and switching, and RDMA fabrics (RoCE/InfiniBand) sized to scale without ripping out the core. Engineer resilient, highly available storage (Ceph/Rook, NVMe) with capacity planning and encryption at rest. Operate confidently in air-gapped and on-prem environments: offline mirrors and registries, signed artifacts, firmware/driver lifecycle without internet access, and system hardening. Support MLOps and inference-serving fundamentals — GPU model serving (Triton/KServe/vLLM), GPU scheduling and sharing, and throughput/latency optimization — in partnership with our SRE and ML teams. Plan and run on-site build-outs: rack integration, power budgets, thermal/cooling and UPS sizing, commissioning, capacity planning, runbooks, and operator handover, with SWaP awareness for field sites. About You 5+ years in bare-metal, data-center, or systems infrastructure engineering, with hands-on ownership of physical and compute infrastructure at scale. Strong bare-metal Linux (Ubuntu, RKE2, Talos, or similar): provisioning, firmware/BMC management, PXE/iPXE, kernel and storage tuning, systemd, RAID. Real experience with infrastructure automation (Ansible, Terraform, or equivalent), Git and CI/CD, and scripting in Python, Bash, or Go. Solid, current data-center networking fundamentals: L2/L3, IP Fabric, BGP, and switching — this is a hard requirement, not a nice-to-have. RDMA (RoCE/InfiniBand) experience is a strong plus. Comfortable operating in air-gapped or on-prem environments and traveling to customer sites for builds and deployments. Practical hardware sizing literacy: power budgets, thermal/cooling, UPS sizing, and rack integration. Documentation-focused, methodical, and calm during hardware incidents. Eligible to work in Germany. Nice‑to‑haves German language (B1+); exposure to regulated or security-critical environments (e.g. BSI C5, ISO 27001, or defense-sector delivery) is a plus. NVIDIA GPU stack knowledge (drivers, CUDA, GPU Operator, MIG, DCGM) and cross-node GPU interconnect experience (NVLink, InfiniBand, NCCL). Kubernetes bare-metal fundamentals — how cluster bring-up and GPU device plugins interact with the underlying hardware, not day-to-day cluster operation. Inference optimization (vLLM, TensorRT-LLM, quantization) and familiarity with switch NOS (SONiC/Cumulus). Relevant certifications (NVIDIA, Red Hat, CKA/CKS) or field/forward-deployed engineering experience. What we offer Remote-first, Germany-wide: Work from wherever you do your best work, with regular team gatherings in Berlin and other off-site locations. Flexibility by default: Flexible working hours help you make work fit your life. Your setup, your way: Get a personal home-office equipment budget to create a workspace that works for you. 30 days of vacation: Take the time you need to recharge and come back with fresh energy. Keep growing: We invest in your personal and professional development. Get rewarded for impact: Performance bonuses are tied to agreed objectives and key results. A warm welcome: Every new team member gets a welcome goodie bag. Good people, good times: From summer and Christmas parties to regular team gatherings, we make time to celebrate together. A mission that matters: Work on challenges with tangible impact on public safety and national security.

Location: Amsterdam, Netherlands; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role: Our customers build the frontier of AI on top of Nebius — training state-of-the-art models, running production inference at scale, shipping the research and products that define where the field is going next. We are building the AI cloud that the people building the frontier of AI choose deliberately — not on price, not on raw capacity, but on how it works to use it day to day. To do that, we are growing the AI Compute Platform product team and hiring multiple Technical Product Managers across the full surface of the platform. Your scope will be defined by what you bring. We will match your technical strengths, customer experience, and product instincts to the area of the platform where you can have the most impact. The platform is broad — and at our scale, every slice is mission-critical. If you want to help build the best AI cloud in the world — and you have the technical depth to engage engineering leaders as a peer (not as a translator) and the comfort to talk to customers directly — this team is for you. The platform you'll help build: Hardware platforms & launch — bringing new GPU and CPU platforms (GB300, Vera Rubin, ARM/Grace, future generations) to production with full launch readiness across the stack. Cluster lifecycle & fleet operations — new region launches, 100,000+ GPU cluster bring-up, platform sharding and allocation architecture, release engineering, host-lifecycle automation, operational efficiency. Reliability & Mission Control — autohealing, health checks, SLA, fault-tolerant training, MTTR reduction, customer trust at scale, observability as a product. Customer experience & developer surface — Compute APIs, console, CLI, IMDS and in-VM signals, self-service workflows, notifications, customer-facing observability, unified UX across the product line. GPU & InfiniBand foundational services — drivers, firmware, NCCL, IB/RoCE, NVLink topology, the foundational layer everything else builds on. Managed runtime platforms — Soperator (Slurm-on-Kubernetes) and MK8S (Managed Kubernetes for AI workloads), powering training and inference for frontier labs. Platform integrations & emerging workloads — Token Factory integration, RL and agentic workload infrastructure, capacity sharing, new business surfaces as they emerge. Cross-platform program & delivery — NVIDIA partnership programs, major-maintenance orchestration, cross-stream releases. You will own one of the slices of this platform end-to-end — from strategy and roadmap through delivery, adoption, and measurable outcomes. Your responsibilities will include (regardless of which slice you own): Own end-to-end product responsibility for your area — strategy, roadmap, discovery, delivery, adoption, measurable customer and platform outcomes. Design and own the platform contracts customers depend on — APIs, semantics, system events, customer-facing surfaces, operational behavior — at hyperscaler quality. Drive cross-team execution across platform engineering, networking, storage, Soperator/MK8S, observability, IAM, billing, capacity planning, support, and product design. Turn customer pain into product commitments through structured discovery — interviews, usage analytics, support patterns, incident postmortems. Close the loop so the same class of failure or friction does not recur. Engage engineering as a technical peer — debate API design, reason about system trade-offs, judge the quality of platform internals, and push back when the design is wrong. Define and own success metrics — what you ship is measured by what changed for the customer or the platform, not by the size of the spec. Be the product voice that customer-facing teams (Support, CX, TAMs) escalate to when a system behavior, API contract, or operational pattern needs a product decision, not a workaround. We expect you to have: 6+ years in Product Management, Platform PM, Infrastructure PM, or SRE / Engineering Lead with strong product instincts. Strong technical foundation and cloud-infrastructure depth — comfort reasoning about API semantics, control-plane vs data-plane behavior, system events and lifecycle, multi-tenant operational realities. You can engage engineering leaders as a peer, not as a translator. Experience with cloud, GPU, or HPC infrastructure — either building one or operating one at meaningful scale (thousands of nodes, multi-region, multi-tenant). Track record of shipping technically complex platform products with measurable customer or platform impact — quantitative results, not aspirational bullets. Strong analytical skills: comfort defining and instrumenting product metrics, working with telemetry, building data-informed roadmaps. Experience leading discovery-heavy work — structured customer interviews, usage analytics, support-ticket analysis — and turning insights into shipped product. Strong communication and ability to align engineering, SRE, customer-facing teams, and exec stakeholders. High ownership, bias to ship, comfort with messy operational reality, and the instinct to push back on engineering when the customer experience or platform quality would suffer. It will be an added bonus if you have (these are not all required — different strengths fit different slices of the platform): Customer-facing experience and lived-it perspective: Direct PM experience with frontier AI customers — ML platform teams, MLOps engineers, training and inference at scale. Familiarity with Kubernetes, Slurm, or HPC environments from the user side, and ML training workflows. Hands-on experience with ML training and inference workflows — especially distributed training at scale (multi-node, multi-GPU; comfort with checkpointing, NCCL, fault-tolerant training, debugging large training jobs). Experience as a customer of AI cloud infrastructure at large scale — especially as part of an internal ML platform team that built and operated infrastructure for ML engineers inside your own company. If you have lived through what frustrates customers about clouds, you will know exactly what we are trying to fix. Hardware, GPU, and HPC depth: Direct experience with NVIDIA reference architectures (NVL72, SuperPOD, MGX, DGX) and the NVIDIA stack (drivers, CUDA, NCCL, DCGM). Familiarity with InfiniBand / RoCE fabrics, firmware lifecycle, topology-aware scheduling. Hands-on with GPU clusters or HPC fabrics at thousands-of-nodes scale. Cluster and fleet operations: Background in Kubernetes lifecycle (CAPI, cluster upgrades, node-pool management) or Slurm at scale. Experience launching new cloud regions or data-center bring-ups end-to-end. Background in release engineering, change management, or major-maintenance orchestration in production environments. Customer experience and developer surface: Exposure to console / CLI / API design at hyperscaler quality — AWS, GCP, Azure depth on consistency, versioning, idempotency, error semantics, deprecation policy. Background in observability product — Grafana, Datadog, Honeycomb, New Relic. Knowledge of customer trust artefacts — status pages, RCA workflows, audit logs, SLA reporting, maintenance notifications. Familiarity with developer-experience product patterns — Stripe, Cloudflare, Vercel, Supabase, Render. Reliability and operational outcomes: Background in SRE, reliability engineering, or fault-tolerant systems for paying customers. Familiarity with reliability metrics that matter: Goodput, MFU, MTTR, MTBF. Experience with autohealing systems and graceful failure semantics. Emerging workloads and integrations: Familiarity with RL / agentic / inference workload patterns — vLLM, SGLang, Ray, Token Factory-style serving, sandbox technologies (Firecracker, gVisor, Kata). Experience with multi-product cloud integrations — capacity sharing, billing models, cross-product packaging. Background in pricing strategy for infrastructure products (reserved / on-demand / preemptible tiers, two-part pricing). Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are looking for a Senior Backend Software Engineer to join our Observability Platform team in Amsterdam or remotely. Building a reliable and profitable cloud platform is impossible without world-class observability. It spans every layer of the stack — from developer tooling and CI/CD pipelines to Kubernetes, managed services, databases, networking, and customer workloads. Our mission is to provide a unified ecosystem for logs, metrics, traces, alerting, and troubleshooting that enables engineers to understand and operate systems at scale. You will build and scale the core services behind this platform, working on high-volume telemetry ingestion, distributed storage, query engines, alerting pipelines, and new ways to help engineers make sense of operational data, including AI-assisted troubleshooting. We expect you to have: 5+ years of professional software engineering experience Strong knowledge of Golang or willingness to quickly switch to it Experience building distributed backend systems Solid understanding of software reliability, scalability, and performance Ability to troubleshoot complex production issues Teamwork-oriented approach and strong communication skills It would be an added bonus if you had: Experience building or contributing to observability platforms, telemetry systems, or related open-source projects such as Prometheus, Grafana, Loki, Jaeger, OpenTelemetry, VictoriaMetrics, Mimir, Tempo, or similar technologies Experience using ClickHouse in production #LI-ET3 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Morocco; Egypt Description Intetics, a leading global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is looking for a Senior Golang Developer to enrich its team with a skilled professional who will help drive innovation and deliver cutting-edge solutions. We specialize in high-performance backend development, cloud-native applications, distributed systems, and scalable microservices architectures . Our projects span across various industries, including IoT, cloud computing, fintech, AI-driven solutions, and real-time data processing . We are looking for a passionate and ambitious Golang engineer who can take ownership of backend development, selecting the right technologies and tools to build robust and scalable solutions. If you thrive in an innovative environment and can transform ideas into working solutions, we invite you to join our team. We are seeking Senior Golang Developers to contribute to our growing team and work on complex, high-load backend systems. Primary Responsibilities: Develop, optimize, and maintain scalable, high-performance backend applications using Golang . Design and implement microservices-based architectures and cloud-native solutions. Ensure code quality, scalability, and maintainability through best development practices. Participate in code reviews, design discussions, and architecture decisions . Work closely with cross-functional teams to design and deliver high-impact solutions. Troubleshoot and optimize existing systems for performance, security, and reliability . Contribute to technical documentation and knowledge-sharing within the team. Responsibilities: Requirements: 5+ years of experience in software development, with a strong focus on Golang . Solid understanding of concurrent programming, distributed systems, and microservices . Experience working with RESTful APIs and gRPC . Familiarity with SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB). Hands-on experience with Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure). Knowledge of CI/CD pipelines, automated testing, and DevOps practices . Strong problem-solving skills and the ability to work independently. Excellent communication and teamwork skills. Nice to Have: Experience with message brokers (Kafka, RabbitMQ, NATS). Understanding of GraphQL, WebSockets, and streaming architectures . Experience in AI/ML, IoT, or blockchain-related projects . Familiarity with security best practices in backend development. Prior experience working in Agile/Scrum development environments . Experience with IntelicsML

Задачи: — Писать на Python и разрабатывать платформу мониторинга zVirt Metrics; — Работать с технологиями снятия метрик производительности с конечных устройств и сервисов (хосты виртуализации, виртуальные машины, сетевые коммутаторы и системы хранения данных); — Погрузиться в способы эффективного хранения и обработки метрик; — Вместе с командой планировать и разбивать задачи на шаги, а потом доводить их до результата; — Предлагать новые архитектурные решения и участвовать в проектировании всей системы; — Смотреть код коллег, давать обратную связь и самому получать её (code-review); — Описывать сделанное в документации для упрощения работы в будущем. Требования: — Уверенное владение Python (более 3 лет); — Знание asyncio, алгоритмов и ООП; — Опыт работы с Tornado, Sanic, FastAPI или SQLAlchemy; — Умение писать аккуратный, понятный и тестируемый код (PEP 8, pytest); — Настройка и использование mypy, ruff и poetry; — Опыт работы с Victoria Metrics/Victoria Logs или другими Time Series DB; — Знание Docker и Kubernetes; — Уверенное владение Linux; — Чтение и написание документации на английском. Будет плюсом: — Опыт работы в продуктовой команде и разработки инфраструктурных решений; — Навыки программирования на Go, Rust или C/C++.

Задачи: — Проектирование архитектур безопасности для облачной инфраструктуры и приложений с применением принципов secure-by-design. — Сотрудничество с командами продукта и архитектуры для внедрения средств контроля безопасности и автоматизации моделирования угроз. — Аудит и проверка реализации мер безопасности в инфраструктурных манифестах и CI/CD пайплайнах. — Контроль безопасности продукта при миграции из дата-центров в публичные облака, такие как AWS. — Консультирование инженерных команд по лучшим практикам безопасности и требованиям нормативного соответствия. Требования: — Возможность релокации из России или Беларуси. — Опыт обеспечения безопасности микросервисов, разработанных на JavaScript и TypeScript. — Владение инструментами CI/CD (GitLab, Jenkins) и Infrastructure-as-Code (Terraform, Helm, CloudFormation). — Практические навыки разработки на Python или Shell. — Глубокое понимание безопасности цепочки поставок, целостности программного обеспечения и безопасной доставки ПО. — Опыт работы с Docker и mesh-технологиями, такими как ISTIO. Будет плюсом: — Опыт проектирования безопасных сервисов на Kubernetes и AWS. — Знание законов о конфиденциальности, таких как GDPR, и отраслевых стандартов PCI, ISO 27001, NIST. — Профессиональные сертификаты в области безопасности (CISSP, CISM, CCSK, CCSP, CEH). Условия: — Медицинская страховка с глобальным покрытием. — 23 рабочих дня отпуска в году плюс оплачиваемый больничный. — Пакет релокации, включающий билеты, проживание в отеле до 2 недель и визовую поддержку для сотрудника и семьи. — Возможности профессионального развития и изучения языков. — Ежегодный пересмотр вознаграждения и регулярные тимбилдинги.

Location: Lisbon; Belgrade Workplace: OnSite Aghanim is an integrated commerce, liveops automation, community engagement, and payments platform for video games.   Mobile games have traditionally depended on app stores for distribution, payments, and player relationships. We believe there is a better way. Aghanim helps game studios build direct relationships with players, sell directly, and build their future on their own terms. Today, more than 100 games worldwide are already building this future with Aghanim.   Our team brings together people across Los Angeles, New York, Seoul, Beijing, London, Lisbon, Belgrade and other locations around the globe, with deep expertise in gaming, fintech and technology. We move quickly, keep communication direct, and focus on getting things done. We believe the best people thrive when they have autonomy, ownership, and a stake in the company's success. [https://app.ashbyhq.com/api/images/user-content/4f457f07-466b-477b-b552-fbbabd850111/2de3a7cd-8843-41a9-8bbe-ceb897a42c4a/Logo%20(horizontal).svg] We’re looking for a Middle/High-Middle DevOps / SRE Engineer to help run and improve our production platform in GCP + GKE, fronted by Cloudflare, with observability in Datadog and CI/CD in GitHub Actions. You’ll work closely with Senior/Principal engineers, implementing reliability improvements, expanding monitoring coverage, and reducing operational toil - especially important in a highload system with sudden traffic spikes. KEY RESPONSIBILITIES Platform Operations - Operate and improve production systems on GCP, GKE, and related managed services - Contribute to platform reliability, scalability, and operational improvements alongside Senior and Principal engineers Infrastructure & Delivery - Implement infrastructure changes using Terraform and maintain Kubernetes configurations, Helm charts, and deployment tooling - Improve CI/CD automation and deployment reliability Observability & Incident Management - Build and maintain monitoring, alerting, and observability in Datadog - Participate in incident response, troubleshooting, and postmortem activities Security & Cost Optimization - Support security tooling, vulnerability remediation, and secure platform practices - Identify and implement cost optimization opportunities without compromising reliability REQUIRED QUALIFICATIONS - Hands-on production experience with Kubernetes (ideally GKE) and basic cluster operations. - Working experience with Terraform and Helm in PR-based workflows. - Familiarity with GCP services used in SaaS operations (e.g., Cloud SQL, BigQuery, BigTable, Pub/Sub, Cloud Run, Memorystore). - Monitoring/alerting and troubleshooting skills (preferably Datadog). - Strong scripting/automation mindset to reduce manual work and prevent repetitive incidents. - Reliability awareness: understanding how changes affect availability/latency and how to operate under SLA constraints. PREFERRED QUALIFICATIONS - Cloudflare basics (WAF/DNS, edge concepts; Workers/CDN is a plus). - Experience writing/maintaining runbooks and participating in postmortems. - Exposure to SOC 2 / PCI-DSS requirements or willingness to learn. - Experience in high-load consumer products or game dev. WHY JOIN US - World-class team – work alongside experienced professionals from around the globe who have built products used by millions of players - High growth, high impact – be part of a fast-growing company where ideas turn into products and reach customers in days, not months - Autonomy and ownership – we trust people to make decisions, take initiative, and drive results - Modern tools and technology – use AI, automation, and modern tools as part of your everyday work - Equity – participate in the company's growth and long-term success

Location: Lisbon; Belgrade Workplace: OnSite Aghanim is an integrated commerce, liveops automation, community engagement, and payments platform for video games.   Mobile games have traditionally depended on app stores for distribution, payments, and player relationships. We believe there is a better way. Aghanim helps game studios build direct relationships with players, sell directly, and build their future on their own terms. Today, more than 100 games worldwide are already building this future with Aghanim.   Our team brings together people across Los Angeles, New York, Seoul, Beijing, London, Lisbon, Belgrade and other locations around the globe, with deep expertise in gaming, fintech and technology. We move quickly, keep communication direct, and focus on getting things done. We believe the best people thrive when they have autonomy, ownership, and a stake in the company's success. [https://app.ashbyhq.com/api/images/user-content/4f457f07-466b-477b-b552-fbbabd850111/2de3a7cd-8843-41a9-8bbe-ceb897a42c4a/Logo%20(horizontal).svg] We’re looking for a Senior/Principal DevOps to own our cloud-only platform and keep it reliable under high-load and bursty traffic. Our services run entirely on GCP, fronted by Cloudflare, with deep observability in Datadog and CI/CD in GitHub Actions. This is a hands-on role with real ownership: ensuring we meet our SLA/SLOs, scaling fast (10–50×), and keeping infrastructure efficient and cost-conscious as the company grows and microservices multiply. KEY RESPONSIBILITIES Platform Reliability and Scalability - Own and evolve production infrastructure on GCP and Cloudflare - Ensure platform availability, performance, and reliability in line with SLA/SLO targets - Design and operate systems capable of handling rapid traffic spikes and high-load scenarios - Drive capacity planning, autoscaling, bottleneck removal, and resilience improvements Kubernetes and Infrastructure - Build and maintain Infrastructure as Code using Terraform (and Terragrunt where applicable) - Own Kubernetes operations on GKE, including upgrades, scaling, and operational hardening - Maintain platform tooling, deployment infrastructure, and operational standards Observability and Incident Management - Build and improve observability using Datadog, including monitoring, logging, and APM - Lead incident response, root cause analysis, and long-term reliability improvements - Reduce operational noise and improve detection of critical system issues Security and Delivery - Operate core security tooling and coordinate remediation efforts across teams - Improve deployment reliability and developer experience through CI/CD automation and platform guardrails Cost Optimization - Own infrastructure cost visibility, optimization, and FinOps initiatives REQUIRED QUALIFICATIONS - 5+ years of experience in DevOps, SRE, or Platform Engineering roles - Proven experience operating production SaaS infrastructure with defined reliability targets and SLA/SLO ownership - Strong expertise in GCP, Kubernetes (GKE), and Infrastructure as Code using Terraform - Experience with Cloudflare, observability platforms (Datadog or similar), and modern CI/CD practices - Strong automation and scripting skills with a reliability-first mindset - Experience designing and operating scalable, high-availability distributed systems - Familiarity with SOC 2 / PCI-DSS audits and security architecture requirements. PREFERRED QUALIFICATIONS - Experience in game dev or similarly bursty high-load consumer products. - Mature SRE practices: error budgets, on-call maturity, runbooks, proactive incident prevention. WHY JOIN US - World-class team – work alongside experienced professionals from around the globe who have built products used by millions of players - High growth, high impact – be part of a fast-growing company where ideas turn into products and reach customers in days, not months - Autonomy and ownership – we trust people to make decisions, take initiative, and drive results - Modern tools and technology – use AI, automation, and modern tools as part of your everyday work - Equity – participate in the company's growth and long-term success

Location: Remote, Germany, EMEA From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re seeking a Principal Software Engineer to contribute to the technical architecture, design and development of Fivetran’s Managed Data Lake product offering. As part of a senior engineering team, you’ll partner with product and engineering teams to build scalable, high-performance systems, advance open-source technologies, and set technical standards that raise the bar across the organization. This is a full-time remote position based out of Germany. Technologies You’ll Use Java, C++, Postgres, Temporal, gRPC AWS, GCP, Azure, Kubernetes, Grafana Iceberg, Polaris, Delta Lake, Parquet, DuckDB What You’ll Do Partner closely with product teams to understand requirements and design cutting-edge new capabilities that go directly into customer’s hands. Design, develop, implement, and operate highly reliable large-scale data lake systems in cooperation with a dedicated data lake engineering team. Contribute to open-source projects such as DuckDB and Polaris. Embrace Fivetran innovations with open-source standards and toolsets. Analyze fault-tolerance and high availability issues, performance and scale challenges, and solve them. Ensure operational excellence of the services and meet the commitments to our customers regarding security, reliability, availability, and performance. Set technical directions and influence cross-functional teams. Skills We’re Looking For 6+ years of hands-on or research experience with high-performance relational data management systems. Deep understanding of infrastructure & software optimizations and performance engineering to drive significant performance, latency, and availability improvements. Proven track record of leading and delivering large and complicated projects. Strong development skills in Java and C++. Solid experience with public clouds (AWS, Azure, GCP). Demonstrated knowledge of columnar storage formats. Growth mindset and excitement about breaking the status quo by seeking innovative solutions. Excellent team player who is consistent in making everyone around you better. Bonus Skills Strongly prefer an MS or PhD in Computer Science, ideally focusing on database management and/or storage engines. #LI-IM1 #LI-REMOTE Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Liquidity Platform The Liquidity Platform provides cutting-edge technology that covers all aspects of crypto trading. We build low-latency connectivity to global crypto venues — across both CeFi and DeFi — strategy services for automated pricing and trading bots, high-frequency data capture and analysis, and state-of-the-art micro frontends for trading management. On top of this infrastructure, we build highly customized strategies to facilitate crypto liquidity. Our engineering teams own the full trading lifecycle, from venue connectivity and execution to strategy, data, risk, and analytics. Our risk solutions are independent of trading logic, decoupled by design, and connected to 20+ trading venues across spot, derivatives, and event-contract markets. If you are a strong technologist excited about the potential of crypto trading and fully-automated systematic trading, we should talk. About the Role We are hiring software engineers across the Liquidity Platform’s engineering teams. You will design, build, and operate the systems that price, execute, monitor, and safeguard our liquidity-providing business 24/7. You will work closely with liquidity managers, product managers, and desk developers — developing strategies, services, and infrastructure using in-house toolkits — while growing capabilities in inventory and risk management, strategic problem solving, cross-functional collaboration, and effective communication. These roles are open to Senior and Staff-level candidates; scope and title are calibrated based on experience and impact. Specializations span Delta One Systematic Trading, Cash OTC, Option Market Making, Trading Infra Service, Data Engineering and Risk & Analytics. What You’ll Be Doing Design, build, and operate scalable, fault-tolerant, low-latency trading infrastructure and microservices that handle 24/7 crypto market operations. Build and maintain connectivity to centralized exchanges, DeFi venues, and counterparties using FIX 5.0+, WebSocket, HTTP/2, and REST — handling the real-world complexities of external integrations and on-chain data. Develop and maintain core services across the trading lifecycle: strategy and execution engines, automated pricing and trading bots, order execution and position tracking, trade & position data platforms, and risk & analytics systems. Architect and optimize high-throughput order execution with sub-millisecond latency targets, and build real-time market-data pipelines aggregating order books and price feeds across multiple venues. Implement pre-trade risk controls, circuit breakers, rate limiters, position/PnL and risk calculations, automated alerting, and high-availability architecture. Implement robust monitoring, alerting, and auto-recovery so strategies remain stable, scalable, and self-healing in a 24x7 trading environment. Build trusted data models, reconciliation workflows, and data-quality controls with clear lineage, reproducibility, and documentation — delivering outputs for the trading desk, Finance, and Operations. Profile and eliminate latency hotspots using garbage-free coding and lock-free concurrency; continuously improve system performance and user experience. Collaborate with liquidity managers, product managers, desk developers, risk, finance, and operations to design, implement, and roll solutions into production. Conduct code reviews, mentor junior engineers, and uphold scalability, resiliency, maintainability, and security best practices across all development activities. What We Look For In You STEM foundation: Bachelor’s degree or above in Computer Science, Engineering, Mathematics, Physics, or a related technical discipline; a combined finance background is advantageous. Experience: Typically 3–8 years in software or data engineering (level-dependent), ideally with exposure to trading, OMS, middle/post-trade, or latency-sensitive systems. Languages: Strong proficiency in one or more of Java (17+), Rust, C++, or Python, with a focus on code quality and operational reliability. Systems: Strong understanding of high-performance, low-latency distributed systems, multi-threaded/concurrent programming, and — where relevant — JVM internals and GC behavior. Connectivity & protocols: Hands-on experience with FIX 5.0+, WebSocket, HTTP/2, and REST APIs, plus network protocol and TCP/UDP optimization. Data & messaging: Strong SQL (MySQL, PostgreSQL — schema design and performance tuning); experience with Redis and Kafka. Infrastructure: Comfortable in Linux/Unix environments; familiarity with Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, AliCloud, GCP) and on-premise infrastructure. Markets: Understanding of market microstructure, order lifecycle, and core trading concepts such as PnL, margin, leverage, and market risk. Mindset: Strong analytical thinking, ownership, and attention to detail; able to work effectively under pressure in a fast-paced environment; a controls mindset around data quality and reproducibility. Communication: Excellent communication and collaboration skills across business and technical teams; fluency in English required, with Chinese/Mandarin a strong plus for global, cross-functional work. Passion: Genuine interest in crypto markets, blockchain, and the broader financial industry, and a drive to keep learning new technologies. Nice to Haves Prior experience in proprietary trading, market making, quantitative research, or front-office technology at exchanges, banks, or investment institutions. Experience with execution algorithms (TWAP, VWAP, iceberg, sniper, smart order routing) and backtesting / strategy-simulation frameworks. Low-latency tooling and IPC: Aeron, Chronicle Queue, Disruptor, shared-memory messaging, Agrona Collections, Protocol Buffers, SBE. Frameworks and libraries such as Spring, Netty, and Vert.x. Modern data platforms (Spark/PySpark, Iceberg, ClickHouse, InfluxDB), workflow orchestration (Airflow, Celery), and ML tooling (MLflow, TensorFlow). Strong understanding of DeFi, blockchain, smart contracts, and crypto exchange APIs; exposure to event-contract / prediction markets. Agentic programming fluency — hands-on use of AI coding tools (e.g., Claude Code, Codex) on real production work. Risk and compliance experience; professional certifications such as CFA or FRM. Technical Environment Languages: Java 17+, Rust, Python, C++ Protocols: FIX 5.0+, WebSocket, HTTP/2, REST Stack: Spring, Netty, Aeron, Chronicle Queue, Disruptor, Kafka, Redis, etcd, MySQL, PostgreSQL, InfluxDB, ClickHouse, Iceberg, Spark Infrastructure: Linux/Unix, Docker, Kubernetes, CI/CD, AWS / AliCloud / GCP Team Specializations The Liquidity Platform comprises several engineering teams. Depending on your strengths and interests, you may join one of the following: Delta One – Systematic Trading: Build cross-venue liquidity and market-making strategies with deep market-microstructure and execution-optimization focus. Option Market Making: Build and operate automated option market-making strategies and pricing systems — managing volatility, greeks, and inventory risk while quoting continuously across crypto options venues. Cash OTC: Develop and own OTC trading strategies and their production environment, partnering closely with liquidity and product managers. Trading Infra Service: Build and maintain the core strategy engine and trading-infrastructure microservices on a distributed, enterprise-grade architecture. Deliver high-throughput, sub-millisecond order execution, market-data pipelines, and exchange connectivity. Data Engineering: Own the trade & position platform end-to-end — venue connectors, the Python + SQL data model, reconciliation, and data-quality controls. Risk & Analytics: Build a greenfield, next-generation risk platform — real-time risk monitoring, PnL/risk calculation, alerting, and circuit-breaking strategies. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Porto, Portugal Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Responsibilities TeamViewer's Frontline solution empowers frontline workers through workflow-based, real-time assistance on smart glasses, mobile phones, and tablets. Our platform connects the physical and digital worlds, combining 2D and 3D authoring tools to transform how industrial teams collaborate. We are looking for an experienced and committed Full Stack Software Engineer with strong expertise across React and Java Spring Boot to help us develop the next generation of the Frontline platform. You will work across the full stack, delivering features end-to-end from UI to backend services. Design, implement, and maintain frontend applications using TypeScript and React . Design, implement, and maintain backend services and APIs using Java and Spring Boot . Participate in architecture and application design to ensure reliability, scalability, and maintainability across the full stack. Write clean, testable, and maintainable code using modern engineering and CI/CD practices. Engage in peer reviews, pair programming, and technical discussions to continuously raise code quality and alignment. Take ownership of your domain and deliver results with accountability and curiosity. Explore and evaluate emerging technologies that can enhance the platform's capabilities. Requirements University or college degree in Computer Science, Software Engineering, or a related field. 3+ years of professional experience in full-stack software development, or proven senior-level expertise in designing and delivering complex software systems. Strong expertise in TypeScript and React for frontend development. Strong expertise in Java and Spring Boot for backend development, including frameworks such as Spring Data and Spring Security. Solid understanding of RESTful APIs , microservices , and distributed system design. Experience with relational databases (e.g., PostgreSQL, MySQL) and ORM frameworks (e.g., Hibernate). Experience with CI/CD pipelines , Docker , and container orchestration (e.g., Kubernetes). Understanding of security and authentication standards (JWT, OAuth2, OpenAPI). Fluency in English; other languages are a plus. Nice to have Experience working with message queue systems (e.g., NATS, Kafka, RabbitMQ). Experience with public API design and developer-facing integrations. Experience with micro-frontend architectures (e.g., Module Federation, single-spa). Familiarity with state management libraries and patterns (e.g., Redux, Zustand, React Query). Experience with component libraries and modern frontend tooling. Familiarity with monitoring and observability tooling (e.g., Prometheus, Grafana, ELK). What we offer Onsite Onboarding in our HQ office for an optimal start Great compensation and benefits packages including company achievement bonus Public transport friendly offices Special terms for local gyms Access to Corporate Benefits platform with many discounts Regular Team events and company-wide celebrations Open door policy , no dress code rules, frequent all Hands and Leadership Lunches Hybrid and Flexible work time Work From Abroad Program allowing up to 40 days of work outside your contracting country We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us! TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.

Location: Remote (GMT-8 to GMT+5). 3-4 hours overlap with US Central Time (Chicago/Texas) required. Not open to candidates from China, Australia, or similar time zones. Company Walter is developing open-source technology to advance computational biology through scalable workflow execution engines. What you will do — Contribute to the development of the Sprocket workflow execution engine and associated Rust crates (wdl, sprocket, crankshaft). — Improve and extend the Workflow Description Language (WDL) specification, shepherding changes through the ratification process. — Collaborate on the evolution of the Task Execution Schema (TES) with standards bodies and the open-source community. — Develop and maintain reference implementations with comprehensive OpenAPI/Swagger documentation. — Coordinate progress with the internal computational biology team. Requirements — 6+ years of senior-level proficiency in Rust with a track record of shipping production code. — Experience contributing to or leading open-source projects. — Familiarity with workflow engines, scientific computing, or large-scale computation. — Ability to work with Rust crates for lexing, parsing, validating, linting, and executing DSLs. — Strong skills in API design and specification development. — Proficiency with GitHub for project planning and collaboration. Nice to have — Experience improving specifications using OpenAPI (Swagger) or the utoipa crate. — Familiarity with Workflow Description Language (WDL) and Task Execution Schema (TES). — Experience with Kubernetes, cloud, or HPC environments. — Prior involvement with standards bodies such as GA4GH. Culture & Benefits — Full-time and long-term role commitment. — Opportunity to work on impactful, open-source technology used by scientists worldwide. — Ability to influence the direction of open standards in scientific workflow execution.

Location: Berlin, Germany Workplace: hybrid Berlin • Cybersecurity & AI Startup • Recently Funded A newly funded cybersecurity startup in Berlin is looking for a Engineering Team Lead to join as a founding team member and help design the core security, identity, and enforcement foundations of a next-generation AI-powered risk management platform. We are an early-stage startup founded by experienced cybersecurity leaders with backgrounds in Israeli intelligence units. We are looking for a hands-on Founding Engineering Team Lead for a hybrid role based in central Berlin. If you are passionate about cybersecurity and AI, thrive in fast-paced startup environments, and enjoy building complex platforms from the ground up, this is an opportunity to make a real impact. They’re building a next-generation cyber risk platform that helps enterprises understand, measure, and reduce identity risk at scale. Their goal is to turn complex identity and security data into clear, actionable risk insights that CISOs and CTOs can trust. You will work from scratch on core platform components from day one, shaping how modern enterprises manage and reason about risk using cloud-native systems, AI-driven analysis, and automated enforcement through AI agents. Key Responsibilities: Lead and grow a small, high-performing engineering team while remaining hands-on Design, build, and review production backend and platform code alongside the team Own delivery of the engineering roadmap , balancing speed, quality, and security Act as a technical leader by setting architecture direction and enforcing engineering standards Contribute directly to critical features, integrations, and platform foundations Establish lightweight engineering processes that enable fast execution without bureaucracy Mentor engineers through code reviews , pairing, and technical guidance Contribute hands-on in design and build architecture, configure systems, code 70% of the time in GoLang. Remove blockers and unblock delivery across backend, frontend, data, and DevOps Collaborate closely with CEO, CPTO, and product leadership on technical and execution decisions Support hiring , onboarding, and technical evaluation of engineers Foster a culture of ownership, pragmatism, and low ego Build whole Security platform setup from scratch Partner closely with backend and AI engineers to design secure service boundaries and deployment models Troubleshoot and resolve complex production incidents across infrastructure, networking, and application layers Build PoCs and validate infrastructure and security design decisions in an early-stage environment Support compliance readiness by enabling controls, logging, and evidence collection for security frameworks Continuously improve platform cost efficiency , reliability, and operational maturity This role reports directly to CEO & CPTO Must have skills 10+ years of professional software engineering experience 3+ years of experience leading engineering teams while remaining hands-on 3+ years of GoLang experience 3+ years experience with AWS in production environments Strong code quality bar and experience with architectural reviews Ability to context-switch between technical topics and people leadership Strong execution mindset and comfort operating under ambiguity Hands-on coding mentality; can build things from scratch including security architecture yourself Hands-on experience with Docker, Kubernetes (EKS) and containerized workloads Experience with CI/CD pipelines (GitHub Actions or similar) Experience with monitoring, logging, observability (Grafana, OpenTelemetry, Prometheus) Experience with Coding CoPilots (Claude Code, GitHub Copilot, AWS CodeWhisperer, Codex, etc.) Knowledge of Experience supporting production SaaS platforms High ownership mentality, startup mindset, and ability to move quickly Experience in startup or scale-up environments Low ego, high commitment, and a true tech startup mentality Excellent English communication skills Nice-to-have requirements Previous experience as a founding or early-stage Engineering Manager Experience in cybersecurity , identity, or enterprise SaaS platforms Exposure to DevOps, SRE, or data engineering Experience scaling teams and systems simultaneously Experience with security architecture, identity security, or security engineering Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Understanding of OAuth/OIDC, API tokens, IdP, scopes, SSO, SCIM, roles, RBAC/ABAC, service accounts Familiarity with cloud identity and security controls (e.g. IAM, CloudTrail, Azure Active Directory / Entra ID ) Hands-on with SIEM platforms such as Splunk, Microsoft Sentinel, or IBM QRadar Experience designing permission models, identity graphs, or access control frameworks Knowledge of tokenization, Zero Trust principles , least privilege, and continuous verification Experience with Security related to AI/LLM systems, agent logic, or willingness to learn fast Familiarity with AI agent behavior , LLM security, or agent sandboxing Previous experience in cybersecurity , identity startups You are a fan of rock or metal music Excellent German communication skills Benefits Founding Team Member Equity — ESOPs in a well funded cybersecurity company. Competitive Compensation — salary aligned with market, flexible early-stage arrangements possible. Founding Team Member Status — shape the company from day one and own critical security technical decisions. Fresh Funding Secured — immediate runway to build, hire, and execute fast. Security Contribution — contribute to security tech architecture across identity, AI agents, and enforcement. High Autonomy — freedom to design and build without corporate overhead. Work with a Technical CEO and CPTO — fast iteration, strong alignment, clear direction. Cutting-Edge Domain — identity security, SaaS-to-SaaS access, AI agent governance. Massive Learning Curve — quickly gain depth in cybersecurity, identity, and AI systems. Fast Career Path — opportunity evolve into higher leadership as we scale the engineering team Berlin Location — top-tier tech environment with strong cybersecurity and AI ecosystems. Direct Impact — your architecture and code become the foundation of the entire platform. Best Equipment and Tools - High quality equipment and modern tools to help you do your best work from day one. Team Offsites - Regular team offsites designed to build strong connections, alignment, and shared momentum.

Location: San Francisco; Palo Alto; London; Seattle; New York City Workplace: Hybrid ABOUT THE ROLE The Enterprise Knowledge Platform team builds the data and action layer that connects Perplexity's agents to the systems where enterprise work happens. Useful agents need more than access to APIs: they need to discover the right tools, understand an organization's data and terminology, and act reliably within its permissions. This team brings native connectors, MCP servers, and CLI-backed tools into a consistent platform, and builds the marketplace through which customers adopt integrations and partners extend the ecosystem. This is a product and platform engineering role with end-to-end ownership, from designing connector infrastructure and semantic models to shipping the experiences customers use to discover, connect, and activate integrations. You'll build the runtime that executes tool calls, the knowledge layer that makes enterprise context reusable across connectors, and the developer and marketplace foundations that help the ecosystem grow. Working with AI Research and Enterprise teams, you'll turn fragmented systems into reliable, permission-aware capabilities that agents can use to complete real work. The impact is direct: every improvement helps customers put their existing software and knowledge to work through Perplexity. KEY RESPONSIBILITIES - Own the connector runtime that registers, hosts, and executes native connectors, hosted MCP servers, and CLI-backed tools through a consistent agent-facing interface. - Build the semantic and knowledge layer, including tool and entity schemas, capability metadata, relationships, organization-specific terminology, and reusable corrections, while preserving provenance and source-system permissions. - Design discovery, search, and recommendation systems that help agents find relevant tools and context and help users and organizations choose integrations that fit their work. - Build the marketplace and activation experience end to end, from browsing and recommendations to installation, configuration, admin enablement, and ongoing adoption. - Make connector execution reliable and observable, with structured results, retries, idempotency, pagination, rate-limit handling, and recovery from partial failures. Own reliability targets, production monitoring, and incident response. - Implement connector authentication, credential isolation, and permission enforcement, partnering with Trust & Governance, Security, and Backend Platform on shared policies and tenant boundaries. - Build the onboarding and publishing path for internal teams and external partners, including schemas, test fixtures, validation, review, and versioning. QUALIFICATIONS - 4+ years of software engineering experience, with a track record of owning complex backend systems from design through production operation. - Strong system design skills, including building reliable, scalable platforms that integrate heterogeneous APIs and services with clear security and isolation boundaries. - Strong proficiency in a backend language such as Python, Go, or Rust, and hands-on experience with cloud infrastructure such as AWS and Kubernetes. - Deep expertise in at least one of the following: - Connector runtimes, API platforms, or MCP servers, including authentication and authorization. - Schema design, semantic modeling, or knowledge systems that capture relationships and organizational context. - Search, ranking, recommendation, or tool discovery systems. - Marketplaces, developer platforms, or enterprise onboarding and activation experiences. - Ability to work across backend infrastructure and customer-facing product experiences, translating complex integration requirements into clear APIs, developer tools, and intuitive workflows. - Sound technical judgment in security-sensitive, distributed systems, balancing credential isolation, permission correctness, and failure behavior with performance, usability, and delivery speed. - A track record of leading ambiguous, cross-team initiatives from architecture through adoption, setting technical direction for shared platforms, and raising engineering quality through mentorship. If you're excited about this role, we encourage you to apply even if you don't meet every qualification. We value demonstrated impact, deep ownership, and the initiative to turn ambiguity into results.

Location: San Francisco; Palo Alto; London; Seattle; New York City Workplace: Hybrid ABOUT THE ROLE The Enterprise Knowledge Platform team builds the data and action layer that connects Perplexity's agents to the systems where enterprise work happens. Useful agents need more than access to APIs: they need to discover the right tools, understand an organization's data and terminology, and act reliably within its permissions. This team brings native connectors, MCP servers, and CLI-backed tools into a consistent platform, and builds the marketplace through which customers adopt integrations and partners extend the ecosystem. This is a product and platform engineering role with end-to-end ownership, from designing connector infrastructure and semantic models to shipping the experiences customers use to discover, connect, and activate integrations. You'll build the runtime that executes tool calls, the knowledge layer that makes enterprise context reusable across connectors, and the developer and marketplace foundations that help the ecosystem grow. Working with AI Research and Enterprise teams, you'll turn fragmented systems into reliable, permission-aware capabilities that agents can use to complete real work. The impact is direct: every improvement helps customers put their existing software and knowledge to work through Perplexity. KEY RESPONSIBILITIES - Own the connector runtime that registers, hosts, and executes native connectors, hosted MCP servers, and CLI-backed tools through a consistent agent-facing interface. - Build the semantic and knowledge layer, including tool and entity schemas, capability metadata, relationships, organization-specific terminology, and reusable corrections, while preserving provenance and source-system permissions. - Design discovery, search, and recommendation systems that help agents find relevant tools and context and help users and organizations choose integrations that fit their work. - Build the marketplace and activation experience end to end, from browsing and recommendations to installation, configuration, admin enablement, and ongoing adoption. - Make connector execution reliable and observable, with structured results, retries, idempotency, pagination, rate-limit handling, and recovery from partial failures. Own reliability targets, production monitoring, and incident response. - Implement connector authentication, credential isolation, and permission enforcement, partnering with Trust & Governance, Security, and Backend Platform on shared policies and tenant boundaries. - Build the onboarding and publishing path for internal teams and external partners, including schemas, test fixtures, validation, review, and versioning. QUALIFICATIONS - 4+ years of software engineering experience, with a track record of owning complex backend systems from design through production operation. - Strong system design skills, including building reliable, scalable platforms that integrate heterogeneous APIs and services with clear security and isolation boundaries. - Strong proficiency in a backend language such as Python, Go, or Rust, and hands-on experience with cloud infrastructure such as AWS and Kubernetes. - Deep expertise in at least one of the following: - Connector runtimes, API platforms, or MCP servers, including authentication and authorization. - Schema design, semantic modeling, or knowledge systems that capture relationships and organizational context. - Search, ranking, recommendation, or tool discovery systems. - Marketplaces, developer platforms, or enterprise onboarding and activation experiences. - Ability to work across backend infrastructure and customer-facing product experiences, translating complex integration requirements into clear APIs, developer tools, and intuitive workflows. - Sound technical judgment in security-sensitive, distributed systems, balancing credential isolation, permission correctness, and failure behavior with performance, usability, and delivery speed. - A track record of leading ambiguous, cross-team initiatives from architecture through adoption, setting technical direction for shared platforms, and raising engineering quality through mentorship. If you're excited about this role, we encourage you to apply even if you don't meet every qualification. We value demonstrated impact, deep ownership, and the initiative to turn ambiguity into results.