Вакансии

Location: Poland Job Overview We are seeking a highly experienced Senior Linux Infrastructure Engineer with deep expertise in Linux administration, bare metal infrastructure, enterprise storage, and next-generation AI Factory / GPU infrastructure platforms . This role is focused on designing, deploying, operating, and troubleshooting large-scale Linux-based infrastructure that powers both traditional enterprise workloads and modern AI/ML environments. This is not a DevOps-focused role . We already have a dedicated DevOps team and are looking for an engineer with extensive hands-on experience in Bare Metal as a Service (BMaaS), GPU infrastructure, high-performance storage, data center operations, and enterprise Linux platforms . The ideal candidate will have experience building and managing infrastructure from the hardware layer up, including servers, networking, storage, GPU clusters, and AI-ready platforms. They should be comfortable working with high-performance computing (HPC), AI Factory environments, and large-scale Linux deployments where performance, reliability, and operational excellence are critical. Key Responsibilities & Required Skills Linux & Bare Metal Infrastructure Expert-level Linux administration (Ubuntu required; Red Hat and SUSE preferred) Deep expertise in bare metal server deployment, architecture, provisioning, and lifecycle management Experience operating Bare Metal as a Service (BMaaS) platforms and large-scale infrastructure environments Strong understanding of server hardware, including: BIOS/UEFI RAID controllers Firmware management iLO/iDRAC/IPMI NICs and SmartNICs HBA cards Hardware diagnostics and troubleshooting Experience designing, implementing, and supporting enterprise Linux infrastructure at scale AI Factory & GPU Infrastructure Experience deploying and managing GPU-accelerated infrastructure for AI/ML workloads Understanding of NVIDIA GPU technologies including: A100, H100, H200, B200, or equivalent GPU platforms NVIDIA DGX and OEM GPU servers GPU provisioning and lifecycle management GPU monitoring and performance optimization Knowledge of AI Factory architecture and infrastructure requirements Experience supporting GPU clusters, AI training environments, and high-performance computing (HPC) workloads Understanding of: GPU resource allocation and scheduling Multi-GPU systems GPU networking requirements High-bandwidth, low-latency infrastructure design Familiarity with NVIDIA ecosystem technologies such as: CUDA NCCL GPUDirect Storage NVIDIA Fabric Manager NVIDIA Base Command (preferred) Enterprise Storage & Data Platforms Advanced Linux storage administration: LVM XFS, EXT4 NFS iSCSI Fibre Channel SAN Multipath I/O Strong hands-on experience with Ceph , including: Cluster architecture MON, OSD, MDS RBD, CephFS, RGW Capacity planning Performance tuning Failure recovery Experience with high-performance AI storage platforms such as: WEKA VAST Data Dell PowerScale Pure Storage FlashBlade NetApp Understanding of: NVMe-over-Fabrics (NVMe-oF) RDMA GPUDirect Storage Parallel file systems AI data pipelines Networking & Infrastructure Strong networking knowledge: Bonding VLANs Routing MTU optimization DNS DHCP Experience with high-performance data center networking: 100G/200G/400G Ethernet RoCE RDMA Spine-Leaf architectures Familiarity with NVIDIA Spectrum-X, Mellanox/NVIDIA ConnectX adapters, or equivalent technologies Strong understanding of Layer 2 and Layer 3 infrastructure design and troubleshooting Operations & Reliability Experience with high availability, clustering, and disaster recovery Strong troubleshooting skills across: Linux operating systems Hardware platforms GPU infrastructure Networking Enterprise storage Experience supporting mission-critical production environments Bash and Python scripting for automation and operational efficiency Experience creating operational documentation, runbooks, and infrastructure standards Understanding of AI infrastructure design and reference architectures AI cloud integration for workloads SOP and runbook development and maintenance Incident, problem, and capacity management Business continuity and disaster recovery planning for AI workloads Proactive risk identification and mitigation to avoid business impact Nice to Have Kubernetes infrastructure (especially AI/ML and GPU integration) KVM, VMware, OpenShift Virtualization, or similar virtualization platforms Ansible automation NVIDIA Base Command Manager Slurm or HPC workload schedulers Observability and monitoring platforms (Prometheus, Grafana, OpenTelemetry) Data Center Infrastructure Management (DCIM) tools IPAM solutions AWS, Azure, or hybrid cloud exposure We Are Not Looking For Candidates whose experience is primarily CI/CD pipeline engineering Engineers focused mainly on Terraform, GitOps, or application delivery pipelines Cloud-only administrators with limited bare metal, storage, or hardware experience Professionals whose primary expertise is software development rather than infrastructure engineering Ideal Candidate Someone who has spent years designing, building, and operating enterprise Linux environments, large-scale bare metal infrastructure, storage platforms, and modern AI Factory environments. The ideal candidate understands how to deploy and manage GPU-enabled infrastructure, BMaaS platforms, enterprise storage, and high-performance networking while solving complex operating system, hardware, storage, and AI infrastructure challenges. DevOps experience is a plus, but deep Linux, infrastructure, storage, BMaaS, and AI Factory expertise is the primary requirement.

Задачи: — Анализировать предметную область, выявлять зависимости между системами, определять границы сервисов и точки интеграции; — Готовить системные спецификации: функциональные и нефункциональные требования (производительность, безопасность, масштабируемость, надёжность), критерии приёмки, User Stories и Use Cases; — Проектировать API и контракты взаимодействий, поддерживать спецификации (OpenAPI/AsyncAPI), согласовывать интерфейсы с разработчиками и смежными командами; — Создавать и поддерживать аналитические артефакты: C4-диаграммы, sequence-диаграммы, ER-модели; — Участвовать в архитектурных обсуждениях, готовить ADR по своим решениям, проходить arch review; — Согласовывать требования с разработкой, QA и эксплуатацией, обеспечивать единое понимание задачи в команде; — Участвовать в груминге, планировании, оценке трудоёмкости, сопровождать задачи до приёмки и релиза; — Помогать QA с критериями приёмки и тест-кейсами, проверять соответствие реализации требованиям; — Поддерживать актуальность документации в Wiki и других системах хранения знаний; — Принимать в зону ответственности закреплённые подсистемы и развивать экспертизу по ним. Требования: — Опыт работы системным аналитиком от 2х лет в командах разработки распределённых систем; — Умение собирать требования у бизнеса, переводить их в формальные спецификации и доводить до разработки без потерь; — Владение практикой проектирования API (REST, gRPC, message brokers) и описания контрактов через OpenAPI/AsyncAPI; — Понимание применения различных способов интеграции: синхронный/асинхронный, очереди, события и их последствий (SLA, консистентность, failure scenarios); — Уверенное владение нотациями UML, C4, sequence-диаграммы; — Понимание SQL и моделей данных, знание нормализации, денормализации и эволюции модели данных во времени; — Умение системно декомпозировать сложное, видеть границы между сервисами на уровне проектирования; — Опыт работы в Agile-командах, понимание ролей и процессов разработки; — Готовность брать ответственность за свои подсистемы и развивать экспертизу по ним; — Будет плюсом: опыт работы с AI-агентами и искусственным интеллектом; опыт работы с микросервисной архитектурой; владение BPMN; знакомство с практиками Domain-Driven Design; умение читать код для разбора реализации.

Location: Canada Wide - Excluding Quebec; British Columbia Workplace: Hybrid ABOUT THE ROLE Safe Software is looking for a Staff AI Engineer to design, build, and deploy production-grade AI systems across the organization. This is a hands-on engineering role responsible for the full AI lifecycle, from data preparation and model development through evaluation, deployment, monitoring, and continuous improvement. You will work across generative AI, applied machine learning, retrieval, and agentic systems while establishing reusable architectures and engineering standards for complex production implementations. ABOUT THE TEAM AI Enablement helps Safe Software adopt AI effectively and responsibly. The team builds shared capabilities, platforms, and engineering standards while enabling departments to deliver AI solutions aligned with common security and governance practices. WHAT YOU'LL BE DOING - Design, build, evaluate, deploy, and operate end-to-end AI/ML systems in production, spanning data preparation, model development, training or fine-tuning, integration, application logic, monitoring, and continuous improvement. - Architect and build agentic and multi-agent systems, including orchestration, task routing, shared state, tool use, agent handoffs, human oversight, and failure recovery. - Design and build enterprise knowledge and retrieval systems across structured and unstructured data, using data pipelines, embeddings, hybrid search, reranking, metadata, and access-controlled retrieval. - Integrate AI solutions with enterprise applications, APIs, databases, data platforms, and governed tools. - Establish automated testing, evaluation, and observability practices covering task success, model and retrieval quality, hallucination risk, tool execution, safety, latency, cost, drift, and regression. - Design secure and responsible AI systems with least-privilege access, auditability, sensitive-data protection, and safeguards against prompt injection, data leakage, and unauthorized actions. - Create reusable architectures, libraries, and engineering standards, and provide cross-functional technical leadership through design reviews, mentoring, and stakeholder collaboration. - Evaluate emerging Large Language Models, frameworks, and platforms and make evidence-based adoption recommendations. QUALIFICATIONS, SKILLS, AND COMPETENCIES WHAT WE'RE LOOKING FOR - 8+ years across software engineering and AI/ML, including 3+ years building and operating AI/ML systems in production at scale. - Strong software engineering skills, particularly in Python or comparable backend technologies. - Experience developing, adapting, fine-tuning, evaluating, deploying, and monitoring AI or machine learning models. - Applied AI experience in enterprise use cases such as chatbots, workflow automation, RAG, intelligent document processing, recommendation systems, or decision support. - Strong understanding of generative AI, LLMs, retrieval systems, agent-based architectures, and applied machine learning. - Experience with production data pipelines, APIs, model-serving infrastructure, testing, security, reliability, and observability. - Ability to explain complex technical decisions and tradeoffs to engineering teams and business stakeholders. NICE TO HAVE - Experience with agent and workflow orchestration tools such LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent. - Experience with vector databases, semantic or hybrid search, embeddings, and reranking. - Experience with platforms such as Databricks, Snowflake, Amazon Bedrock, Microsoft Foundry/Azure AI, or equivalent. - Familiarity with MCP, A2A, self-hosted or open-weight models, and hybrid AI architectures. WHAT YOU CAN EXPECT When you choose a career with Safe Software, you’re also choosing… - Meaningful Work: Make a profound impact across our business, workplace and data integration product. - A Supportive Environment: Feel empowered to share your ideas and implement them with high autonomy and team support. - Social Responsibility: Become part of a team that finds meaningful ways to give back https://www.safe.com/about/community-initiatives/. Take paid time off to volunteer for one of our Safe-organized opportunities that align with our core community initiatives. - Learning & Career Development: We believe in your continuous learning and growth. Take advantage of an annual learning budget and training programs paid for by Safe. - Flexible Working Hours: Flexible and remote-friendly work arrangements to fit your lifestyle. Work when you want, and how you want to. - Work-Life Balance: There's no place for burnout at Safe. Maintain a healthy balance of your personal and work life without splitting yourself in two. Enjoy 3 weeks of vacation to recharge, plus an additional paid 6 seasonal days off per year. - Health & Wellness: Extended health, dental, health or lifestyle spending, and counseling benefits from day 1. That’s right, no waiting period. - Family is important: We are dedicated to supporting our employees through parenthood and offer a Parental Leave Top-Up Program for new parents through childbirth or adoption. - Shared Success: Share in Safe’s success with our bi-annual profit sharing and RRSP/TFSA matching program. - An Accessible Commute: Regardless of your commute method, we’re located close to public transit, and provide complimentary parking and bike storage for our team! ABOUT SAFE SOFTWARE Safe Software transforms organizations with FME, the only All-Data Any-AI Enterprise Integration Platform connecting all your data, anywhere, at any velocity. With over 30 years of expertise and 25,000+ enterprise customers across 125+ countries, we simplify your data journey, wherever it leads. Founded in 1993, Safe is headquartered in Surrey, BC with over 300 team members and counting. We’re always looking for talented individuals with diverse backgrounds who are determined to learn and grow. Are you ready to join the team? OUR COMMITMENT TO DIVERSITY AND INCLUSION Safe Software is an equal opportunity employer and we truly believe that innovation and strength begin with diversity and inclusion. We welcome all candidates regardless of race, gender identity or expression, sexual orientation, age, ability, disability, national or ethnic origin, political belief, religion, or family status. Should you require accommodations during the recruitment process, please contact hr_dept@safe.com. NOTICE REGARDING USE OF AUTOMATED TOOLS IN HIRING At Safe Software, we use automated tools to help us process applications and identify qualified candidates. These tools may assist in screening resumes and summarizing interview content based on the information you provide. This helps our team review applications efficiently while ensuring every candidate is considered based on the requirements of the role. Please be assured that the final hiring decision is always made by a member of our team. For more information on how we protect your privacy, please see our policy https://www.safe.com/legal/#applicant-privacy-policy. If you have questions about this process, please contact us at hr_dept@safe.com.

Location: Americas Remote Hi, I'm Paul, VP of Engineering at Customer.io . We're looking for a staff engineer to set technical direction for the systems that move billions of messages a day. This isn't a role about shipping more, faster. It's about deciding what gets built, where the architecture needs to go next, and raising the ceiling for the engineers around you. About Customer.io Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data. Under the hood: Go, React, Ember and AI help us ship fast and scale with confidence. What We Value Ownership at company scale You take on the problems nobody has claimed yet — the ones that span squads, have no obvious owner, and would quietly cost us a year if left alone. You either solve them or get leadership aligned to. Engineers with product taste You think like a user, not just an engineer. You connect architectural decisions to what customers actually experience, and you can explain that connection to people who don't write Go. A healthy skepticism for "the way things are done" You retire practices that have outlived their usefulness, including ones you helped build. Best practices matter — but never more than forward motion. Force multiplication Your best quarter isn't measured by what you shipped. It's measured by what the department can now do that it couldn't before. What You'll Do Shape the technical direction of our distributed messaging systems in Go — making the high-level architectural calls on mission-critical services where scale, cost, and reliability are all in tension Take on ambiguous, high-stakes problems that cross squad and function boundaries, and drive them to a decision when the right answer isn't obvious to anyone yet Build consensus on contested technical questions across teams, and communicate the tradeoffs clearly enough that senior leadership can act on them Raise the department's bar — set quality and design standards, mentor senior engineers, and turn what you know into frameworks and documentation other teams can use without you in the room Drive engineering process and tooling improvements that span multiple squads, not just your own Participate in an on-call rotation as required, supporting the reliability of the systems you build Interview and calibrate against our career ladder, giving honest, evidence-based assessments of candidates Use AI agents to make multi-file changes by scoping the work, writing the prompt, and verifying the output What we're looking for 10+ years building scalable, distributed systems in Go (or similar statically typed languages), including several as the person others turned to on architecture Depth across multiple systems or domains, not just one — you've been the recognized expert in more than one place A track record of designing for production reality: you quantify tradeoffs in throughput, cost, and reliability rather than picking a reasonable path and defending it Experience designing observability and recovery as first-class concerns — metrics, alerting, rollback, backpressure, checkpointing — not logging added afterward Comfort working in cloud-native environments (AWS, GCP), with relational databases (we use MySQL) and a real understanding of performance tradeoffs Evidence of making other engineers better: mentorship, technical writing, design review, standards that outlasted your involvement A bias for action over perfection, and the judgment to know which decisions are worth slowing down for Compensation & Benefits We believe in transparency. Starting salary for this role is $200,000 - $240,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment. This role also carries a 10% annual bonus target. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build. We know our people are what make us great, and we're committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more. See full benefits here → Our Process No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision. Application - We review everyone with care. Tell us why you're interested. Recruiter Call (30 mins) - Let's chat about what you're looking for and how we work. Hiring Manager Interview (60 mins) - Talk with one of our hiring managers about your working style and a project you've owned end-to-end, plus a short AI-assisted coding exercise. Architecture Interview (60 mins) - A collaborative system design conversation focused on scaling challenges, tradeoffs, and failure modes. Take-Home Assignment - Complete a short, realistic task similar to what you'd work on here. Assignment Review Call (60 mins) - Walk us through your work and discuss tradeoffs, priorities, and how you'd iterate. All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process. Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact. Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io . Join us! We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you're excited by what you read and want to build software that makes communication better for everyone—apply now.

Location: Mapbox Helsinki Workplace: Remote Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow. WHAT YOU'LL DO This role is scoped by skill rather than by product. The problems below span multiple departments and show up across our Search and Places data work, our Location and Navigation Intelligence work, and the Platform work that makes Mapbox usable by agents. You'll be hired into one specific team or product area, but you'll work across teams where your expertise meets the highest-priority AI problems. You should expect to move between teams and tech stacks as the work demands. At this level you own the technical design and delivery of a multi-component AI system, and you are accountable for the quality of what ships in your area.   IN THIS ROLE, YOU WILL: - Define how the products you own should work, build a measurement framework for it, and build evaluation systems for non-deterministic behavior. Formulate hypotheses around the products we build and seek the signal needed to validate them. Define what a correct result is for a given input and state, determine whether to assemble datasets from real usage or hand-written cases, and gate changes on regression results. - Run continuous evaluation of the products we build, whether APIs, SDKs, data representations, or reference applications, from the position of the end user, whether developer, agent, or consumer. Assess the gaps such as misuse of parameters or integration anti-patterns, recommend the fixes, and make sure they land. - Own the MVP against an agreed north star technical design, and balance technical perfection against shipping useful increments. - Build data pipelines and the tooling around them: ingestion, conflation, entity resolution, quality checks, and the batch and streaming jobs that keep a large dataset current. - Track and pull external datasets, models, and benchmarks from published research and open-source releases. Evaluate what fits the problem and constraints , and decide when to adopt what exists versus build your own. - Design feedback loops so that using a product generates data that improves it. Instrument systems so failures arrive with enough context to reproduce, then turn the recurring ones into evaluation cases. - Design the boundary between a model and the tools it calls. Build or improve the model harness, decide what the model handles, what it delegates, and how to keep it working from the state it actually fetched. - Work to a latency and cost target per request: streaming, partial results, caching, model routing, prompt structure. - Build the internal harnesses and tools (CLI, MCP, and others) your team needs to iterate quickly, and share the parts that generalize with other teams. - Raise the bar on your team through code and design review, and bring other engineers up on eval practice. - Some of the technical questions in this area are still open. You will help answer them. - Participate in an on-call rotation to ensure our systems remain available to customers 24/7. Team members alternate as the on-call primary responder, which may require immediate response outside normal working hours, including weekends. WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE - Bachelors degree in STEM discipline and 5+ years of software engineering experience, with production ownership of services, pipelines, or SDKs. - 2+ years shipping LLM-backed features to real users, in systems that carried error budgets, on-call rotations, and customers who noticed regressions. - Direct experience or deep understanding of designing evaluations for non-deterministic systems. You can describe a dataset you built and the failure it caught. - Data engineering depth: SQL, at least one distributed processing framework, and experience with pipelines where a wrong record mattered more than a slow one. - Fluency with tool calling and agent orchestration, including the failure modes: stale context, hallucinated arguments, silent partial success, unbounded loops. - Working knowledge of more than one agent harness, and opinions about where each of them is weak. - Strong Python or TypeScript, and comfort reading code in whatever language the caller happens to be written in. - Experience diagnosing latency in a distributed request path. - Comfort with ambiguity, and the judgment to ship something narrow that works while the general solution is still unclear. - Clear written communication. Mapbox is distributed across time zones and we make most decisions in documents and Slack.   NICE TO HAVE TRAITS FOR THIS ROLE - Geospatial data experience: routing, geocoding, POI or address data, OpenStreetMap, or conflation of overlapping sources. - Public API or SDK design experience, particularly for developers you never talk to. - Experience building against MCP or similar tool transports. - Experience running evals in CI, with a commercial harness or one you built. - Automotive, in-vehicle infotainment, CarPlay, or Android Auto experience. - Voice pipeline experience: streaming ASR, TTS, barge-in, endpointing, wake word. - Work under constrained compute, offline, or intermittent connectivity. - Experience operating a product through its first external integrations, where the customer finds the gaps before you do.   WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply.   HOW WE SUPPORT YOU - Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable. - Country-Specific Care & Coverage: Private health, dental, and income protection plans tailored to elevate your regional statutory benefits. - Family-First Support: Family care, maternity and paternity leave policies to support your growing family. - Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth - Balance & Brainpower: Mental health support for you and your dependents. - Rest & Recharge: Paid time away, company holidays, and generous absence policies. - Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO.   By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. #LI-Remote

Location: Prague, Czech Republic; Group career pages; Jobs.cz Workplace: Hybrid At Rohlik, Integrated Business Planning and S&OP are not just planning routines—they are the backbone of how we run efficient operations, optimize resources, and scale sustainably. We're looking for a Senior Sales and Operations Planning Manager who will work closely with our Supply Chain leadership and help build our end-to-end forecasting function from the ground up. This is a highly hands-on, builder role for someone who thrives on business partnering, deep-dive analytics, challenging manual processes, and turning raw data into decision-ready insights across all our European markets. To be clear on scope: this role owns the order- and revenue-level demand forecast that feeds the S&OP cycle — not SKU-level demand planning, which sits with the Supply Chain team. WHY THIS ROLE IS EXCITING - Build from the Ground Up: You won't just execute a process someone else built—you are one of the founding members of a brand-new department, giving you a direct hand in shaping the future of Supply Chain at Rohlik. - Direct Business Impact: Your forecasts directly dictate inventory levels, labor scheduling, and delivery capacity across 5 countries and 12 fulfillment centers. - Automation & Ownership: You have the autonomy and mandate to kill manual spreadsheets. If a process is repetitive, you get to spearhead its automation alongside our BI and Engineering teams. - High-Growth E-Commerce Environment: Work in a fast-paced, high-velocity e-commerce and grocery ecosystem where data-driven decisions directly affect daily operations and customer satisfaction. WHAT YOU'LL DO - Demand Forecasting: Own the daily and weekly production of the group demand forecast (orders, SKU/order, and intraday shapes) across all markets, fulfillment centers, and planning horizons. - Accuracy & Bias Ownership: Drive forecast accuracy and bias performance by market and horizon (target: 98% accuracy at order/revenue level); conduct deep-dive root-cause analyses on deviations and implement corrective actions. - S&OP Core Analysis: Build and own the demand review pack and scenario models for the S&OP cycle, including quantified upside and downside cases. - Operational Alignment: Translate agreed demand into actionable inventory, warehouse workload, labor, throughput, and delivery requirements for operating functions. - Automation & Optimization: Proactively drive the automation of manual routines (e.g., mass-upload/locking for SKU edits, demand-chaser redesigns, automated AOV forecasting) instead of working around system gaps. - Executive Decision Support: Prepare daily and weekly data, analysis, and options that feed into executive updates and S&OP governance rituals. - Peaks & Campaigns: Lead forecasting prep for campaigns, seasonal transitions, and peak events, ensuring every manual adjustment is documented with clear assumptions and rationale. - Cross-Functional Collaboration: Partner with market planners, Category, Marketing, Fulfillment, Last Mile, and BI teams to collect quantified inputs on time and keep planning data trustworthy. - Governance & Resilience: Actively identify and flag process gaps (single points of failure, missing notifications, undocumented calls) to make the department increasingly resilient over time. WHAT WE'RE LOOKING FOR Required: - 3+ years of experience in Demand Planning, Forecasting, Supply Chain Planning, or Business Analytics. - Hands-on ownership of a recurring forecast within a high-velocity retail, e-commerce, logistics, or operational environment. - Advanced command of forecasting methodologies, scenario modeling, and forecast accuracy metrics. - Strong analytical stack: advanced spreadsheet modeling and SQL (or equivalent) to query large data sets independently. - Ability to specify tooling improvements and drive automation alongside engineering/BI teams. - Working knowledge of BI and visualization tools (Tableau, Power BI, Looker, or similar). - Proven ability to enforce standards and deadlines across multiple markets while clearly communicating analytic insights to non-technical stakeholders. - Fluent English Preferred: - Background in online grocery or fresh/perishable goods retail. - Prior exposure to an established S&OP / IBP cycle. - Experience converting demand forecasts into labor, fulfillment, or transport requirements. - Scripting or automation experience (Python or similar) beyond standard spreadsheets. - Knowledge of Czech or Slovak is a plus. WHAT’S IN IT FOR YOU - Fair reward - You’ll get a strong fixed salary — no bonus games, no politics. Great work is rewarded clearly and fairly. - Good food every day - You’ll enjoy a free lunch every day and fresh fruit & veggies in the office. Because good food fuels great work. - Life, not just work - You’ll have real flexibility – three days in the office, 2 days Home Office where it suits you. And unlimited paid vacation based on trust. - Personal growth - You’ll grow as fast as Rohlik does. Every challenge is a chance to learn and make an impact. - Real impact - What you do here matters. You’ll see your work changing how people eat and live — from day one. - Recognition among colleagues - Your effort won’t go unnoticed. You can recognise others (and be recognised) through peer credits to use in our internal cafeteria. - Xtra membership - You’ll get free Xtra membership and 10% cashback on everything you buy on Rohlik.cz http://Rohlik.cz. - Sport & wellbeing - You’ll stay active with company sports challenges or a subsidised Multisport card. - A team that sticks together - You’ll work with people who move fast, support each other and celebrate wins together. - If this sounds like you…You’re someone who takes ownership, acts fast and gets things done. Ready to bake something great with us? #LI-FK1

Location: Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia About JetBrains We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 companies, and 88 of the Fortune Global Top 100 rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale. What you’ll do Our IDEs are built on a massive scale: a 14 GB monorepo with more than 500 developers committing code every day and hundreds of thousands of automated tests running to keep everything stable. Delivering regular, reliable updates across this ecosystem without blocking engineering teams is a massive infrastructure challenge. That’s where you come in. You’ll join our infrastructure team as both a technical specialist and process owner for our release infrastructure, building reliable systems that make it possible to ship releases smoothly. You’ll take ownership of the CI/CD pipelines, optimize delivery workflows, and make sure changes flow smoothly from local development all the way to release.That's where you come in. You'll join our infrastructure team as both a technical specialist and process owner for our release infrastructure, building reliable systems that make it possible to ship releases smoothly. You'll take ownership of the CI/CD pipelines, optimize delivery workflows, and work closely with engineering teams to keep changes moving smoothly from local development through to release. Day to day, you will: Design, configure, and maintain CI/CD pipelines to keep releases reliable and repeatable. Manage branching strategies, coordinate code freezes, and handle hotfix releases. Diagnose pipeline failures and resolve build bottlenecks before they affect delivery. Automate repetitive release tasks and improve YouTrack workflows for better issue tracking. Gather requirements from development teams to turn pain points into smooth tooling improvements. Communicate process changes to stakeholders and support teams through transitions. Lead retrospectives after incidents to continuously refine our release process. What you’ll bring Curiosity and a systematic approach to solving complex infrastructure problems. Clear communication skills to collaborate with multiple engineering teams. A strong drive to automate manual tasks and remove friction for fellow developers. Comfort taking ownership of release decisions and managing trade-offs under deadline constraints. Pragmatism when prioritizing build stability, release speed, and developer experience. What you’ll need Proven hands-on experience building, maintaining, and troubleshooting CI/CD pipelines (e.g., TeamCity, Jenkins, GitHub Actions, or similar). Fluency in Kotlin or Java. Practical experience working with Gradle or similar build systems. Familiarity with Linux environments and shell scripting. Proficiency Experience using issue tracking tools like YouTrack or Jira to manage workflows. Professional fluency in written and spoken English. Experience with large-scale monorepo builds, the JetBrains toolchain (TeamCity, YouTrack), plugin compatibility testing, or multi-product release pipelines are pluses. What success looks like You earn the trust of our engineering teams by making releases predictable, smooth, invisible, and stress-free. Pipelines run efficiently, failures are diagnosed quickly, and repetitive tasks are continuously automated away. Developers across the IDE department can focus on building great features, confident that the delivery pipeline behind them is rock-solid. Why join JetBrains? Strong base salary. We offer competitive pay that reflects your skills and experience. Flexible work location. Enjoy the freedom to work from home or from the office. Remote work. Spend up to 30 days per year working remotely from abroad. Extra time off. More days to relax, recharge, and do the things you love. Medical insurance allowance. Enjoy peace of mind for you and your family Learning and development opportunities. Access to conferences, courses, and language classes. Language classes. Pick up the local language or sharpen your English skills. Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays. Mental health support. To help you feel your best, we provide easy access to professional mental health services. Sports benefit. Enjoy an on-site gym or sports club stipend. Internal events. Join company-wide celebrations and team gatherings. *Some benefits may vary depending on location. #LI-PR1 We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

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 Nebius is building and deploying large-scale AI infrastructure across multiple data centers. Our Hardware Deployment Engineering team is responsible for the technical bring-up, validation, troubleshooting and handover of new GPU, compute and storage infrastructure. We are looking for a Hardware Deployment Engineering Team Lead to manage and develop the Deployment Engineering team across EMEA. This is a hands-on technical leadership role that combines people management, capacity planning, project coordination and infrastructure engineering. You will lead engineers working across new data center launches and expansion projects. You will also serve as the primary point of contact between Deployment Engineering, project management, Data Center Operations and other engineering teams & will report to the Head of Hardware Delivery and Deployment. This position is based at our headquarters in Amsterdam, the Netherlands. Remote work is not available for this role. Regular travel to data centers across EMEA will be required Your responsibilities will include: Lead the Deployment Engineering team Manage a team of Deployment Engineers across EMEA. Hold regular 1:1s, provide feedback, set expectations, and support engineers in their development. Assign responsibilities and make sure engineers have clear ownership during deployments. Identify skill gaps and build technical depth within the team. Support hiring, onboarding, and performance management as the team grows. Remove blockers for engineers and escalate organizational or technical issues when necessary. Own deployment engineering planning Represent Deployment Engineering in project planning and synchronization meetings for new data center launches. Understand upcoming deployment milestones and translate them into engineering resource requirements. Plan engineer allocation across multiple parallel projects and deployment phases. Make sure the right technical expertise is available for hardware bring-up, testing, troubleshooting, and acceptance. Identify resource conflicts and delivery risks early rather than reacting to them during deployment. Maintain a clear view of team capacity, project priorities, travel requirements, and upcoming workload. Drive technical execution Ensure deployment testing and hardware bring-up are executed consistently and to the required quality level. Support engineers with complex hardware, firmware, Linux, and systems troubleshooting. Step into critical technical issues when deeper investigation or coordination is required. Drive problems toward a clearly identified failure domain, root cause, or actionable escalation. Coordinate with R&D, DC Operations, vendors, ODMs, and other engineering teams when issues cross organizational boundaries. Make sure deployment findings result in fixes, documentation, tooling, or process improvements rather than remaining one-off solutions. Improve how we deploy infrastructure Build repeatable deployment processes, standards, checklists, and troubleshooting practices. Improve the quality and predictability of hardware testing and acceptance. Identify recurring deployment problems and drive systemic fixes upstream into factory, hardware, firmware, tooling, or operational processes. Improve handover from Deployment Engineering to steady-state operations. Help develop automation and tooling that reduce manual work and increase deployment scale. We expect you to have: Strong experience with server hardware, data center infrastructure, or large-scale systems deployment. Experience leading engineers, either as a formal people manager or as a strong technical/team lead with clear ownership for other engineers. Ability to plan resources and coordinate engineering work across several projects running in parallel. Strong ownership mindset and the ability to operate in environments where procedures are incomplete and problems are not yet well understood. Ability to challenge assumptions, investigate beyond the immediate symptom, and drive issues to resolution. Strong communication skills and the ability to work effectively with project managers, engineering teams, operations, and external vendors. Comfortable working directly in data centers and traveling across EMEA when required. It will be an added bonus if you have: Linux troubleshooting skills and a solid understanding of modern server architecture. Experience diagnosing hardware and infrastructure problems across components such as CPU, memory, NVMe, PCIe, NICs, BMC, BIOS, and firmware. Experience deploying GPU or AI infrastructure at scale. Experience with large server fleets or hyper-scale environments. Experience working with ODMs or server vendors during production, deployment, or failure investigation. Experience with automated hardware validation or fleet-level testing. Experience building a deployment, infrastructure, SRE, hardware reliability, or similar engineering team. What success looks like You will not be measured by how many individual servers you personally troubleshoot or deploy. Success means that Deployment Engineering operates as a reliable function: projects know when and how to engage the team, engineers are assigned to the right work, technical problems are driven to resolution, deployment risks are visible early, engineers are developing, and new infrastructure can move from delivery to operational readiness predictably. You will be the person the Head of Hardware Delivery and Deployment can rely on to run the EMEA Deployment Engineering function day to day, while also continuously improving how the team operates and scales. 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.

О проекте: Международный проект в области AI Security, связанный с разработкой сред, которые помогают LLM-моделям проходить обучение с подкреплением для задач, связанных с кибербезопасностью. Эти среды содержат задания в различных областях кибербезопасности (пентестинг, реагирование на инциденты, эксплуатация, вредоносное ПО и т.д.), цель — создавать достаточно сложные задачи, чтобы модель допускала ошибки, но которые остаются решаемыми для профессиональных специалистов. Это не классическая позиция Pentester или Red Team Engineer. Основная задача — создавать сложные, но реалистичные и проверяемые security-сценарии, в которых LLM-модели совершают ошибки из-за недостатков в рассуждении (reasoning), а не из-за неоднозначных инструкций или ограничений среды. Задачи: — Проектировать security-сценарии для оценки и обучения LLM-моделей — Создавать environments с использованием GitHub, Slack и других инструментов, встречающихся в реальной разработке — Разрабатывать задачи, требующие сложного многошагового reasoning — Моделировать реальные offensive security-сценарии (supply chain attacks, malicious pull requests, exploitation через GitHub Actions и другие техники) — Проверять сценарии на нескольких frontier-моделях и анализировать причины ошибок — Формулировать ожидаемое поведение модели и описывать, почему ошибка считается reasoning failure — Автоматизировать создание и проверку задач с использованием Python и других инструментов Требования: — 5+ лет практического опыта в Offensive Security, Application Security или Web Penetration Testing — Глубокое понимание современных техник атак и поверхности атаки веб-приложений, API, GitHub, CI/CD и связанных экосистем — Практический опыт penetration testing и исследования безопасности приложений — Опыт разработки на Python и/или JavaScript — Навыки статического и динамического анализа кода (Python, JavaScript, Java) — Умение самостоятельно исследовать новые направления, проектировать сложные сценарии и объяснять результаты — Свободный английский язык (Upper-Intermediate / B2+) — Практический опыт работы с современными LLM-моделями — Понимание особенностей работы LLM, ограничений и типичных failure modes — Интерес к AI Security и исследованию поведения LLM Будет плюсом: — Практический опыт AI Red Teaming или LLM Security — Опыт работы с Agentic AI, AI Agents или Model Evaluation — Опыт исследований безопасности GitHub Actions, CI/CD, Supply Chain Security — Сертификаты OSWE, eWPTXv2, OWEE, OSWA или аналогичные — Публикации, write-ups, участие в Bug Bounty, HackTheBox, TryHackMe, Pwn2Own или других проектах Условия: — B2B-контракт (с ИП) — Оплата в долларах США — Part-time: ориентировочно 5–20 часов в неделю — Минимальный объем — 1–2 задачи в неделю — На выполнение одной задачи обычно требуется 5–10 часов — Локация — строго вне РФ (либо уже за пределами РФ, либо готовность к релокации) — Старт — ASAP

О проекте: Международный проект в области AI Security, связанный с разработкой сред, которые помогают LLM-моделям проходить обучение с подкреплением для задач, связанных с кибербезопасностью. Эти среды содержат задания в различных областях кибербезопасности (пентестинг, реагирование на инциденты, эксплуатация, вредоносное ПО и т.д.), цель — создавать достаточно сложные задачи, чтобы модель допускала ошибки, но которые остаются решаемыми для профессиональных специалистов. Это не классическая позиция Pentester или Red Team Engineer. Основная задача — создавать сложные, но реалистичные и проверяемые security-сценарии, в которых LLM-модели совершают ошибки из-за недостатков в рассуждении (reasoning), а не из-за неоднозначных инструкций или ограничений среды. Задачи: — Проектировать security-сценарии для оценки и обучения LLM-моделей — Создавать environments с использованием GitHub, Slack и других инструментов, встречающихся в реальной разработке — Разрабатывать задачи, требующие сложного многошагового reasoning — Моделировать реальные offensive security-сценарии (supply chain attacks, malicious pull requests, exploitation через GitHub Actions и другие техники) — Проверять сценарии на нескольких frontier-моделях и анализировать причины ошибок — Формулировать ожидаемое поведение модели и описывать, почему ошибка считается reasoning failure — Автоматизировать создание и проверку задач с использованием Python и других инструментов Требования: — 5+ лет практического опыта в Offensive Security, Application Security или Web Penetration Testing — Глубокое понимание современных техник атак и поверхности атаки веб-приложений, API, GitHub, CI/CD и связанных экосистем — Практический опыт penetration testing и исследования безопасности приложений — Опыт разработки на Python и/или JavaScript — Навыки статического и динамического анализа кода (Python, JavaScript, Java) — Умение самостоятельно исследовать новые направления, проектировать сложные сценарии и объяснять результаты — Свободный английский язык (Upper-Intermediate / B2+) — Практический опыт работы с современными LLM-моделями — Понимание особенностей работы LLM, ограничений и типичных failure modes — Интерес к AI Security и исследованию поведения LLM Будет плюсом: — Практический опыт AI Red Teaming или LLM Security — Опыт работы с Agentic AI, AI Agents или Model Evaluation — Опыт исследований безопасности GitHub Actions, CI/CD, Supply Chain Security — Сертификаты OSWE, eWPTXv2, OWEE, OSWA или аналогичные — Публикации, write-ups, участие в Bug Bounty, HackTheBox, TryHackMe, Pwn2Own или других проектах Условия: — B2B-контракт (с ИП) — Оплата в долларах США — Part-time: ориентировочно 5–20 часов в неделю — Минимальный объем — 1–2 задачи в неделю — На выполнение одной задачи обычно требуется 5–10 часов — Локация — строго вне РФ (либо уже за пределами РФ, либо готовность к релокации) — Старт — ASAP

Location: Portugal; Brazil SUMMARY: As a Senior .NET Engineer, you will play a key role in evolving and optimising our payment-related services, ensuring reliability, performance, and scalability in a high-traffic environment. You’ll work hands-on across modern .NET technologies to improve existing systems, diagnose complex issues, and design robust solutions that keep our platform running smoothly. We’re looking for engineers who are passionate about continuous learning, modern engineering practices, and building resilient, customer-focused systems. You’ll join a collaborative, supportive environment where people are encouraged to grow, experiment, and push the boundaries of technical excellence. WHAT WILL YOU BE DOING: As part of an agile software development team, you will: Design, develop, maintain, and enhance .NET microservices and backend APIs that support critical payment workflows Analyse and optimise existing applications for performance, scalability, and reliability Investigate and troubleshoot production issues, identifying root causes and delivering high-quality fixes Refactor legacy components into modern, cloud-ready services Contribute to improving engineering standards, code quality, and best practices through thoughtful code reviews Collaborate with engineers, product managers, and QA to deliver high-impact features for millions of users Mentor junior engineers, providing guidance on architecture, coding patterns, and engineering principles WHAT WE ARE LOOKING FOR: 5+ years of experience building highly scalable, customer-facing systems using modern .NET (C#, .NET 6/7/8) Strong experience developing RESTful APIs and microservices using ASP.NET Core Solid experience building and maintaining distributed services, with a focus on performance, resilience, and observability Advanced proficiency in SQL Server, including optimisation of complex queries, stored procedures, and database schema design Hands-on experience with caching technologies such as Redis Proficiency in integrating with internal and external REST APIs Experience working in event-driven or message-based architectures (Kafka, SNS/SQS, RabbitMQ – exposure is fine) Solid understanding of cloud-native development, ideally with AWS (Lambda, API Gateway, DynamoDB, SNS/SQS, ECS/EKS) Strong experience with Git-based workflows Good understanding of secure coding, authentication/authorisation patterns, and modern internet security practices Experience working in an Agile, cross-functional team Strong verbal and written communication skills in English NICE TO HAVE: Background in payment systems, PCI considerations, or high-volume transactional flows Experience with observability tools such as Grafana, Kibana, Datadog, AppDynamics, OpenTelemetry Experience with CI/CD pipelines (GitHub Actions, Jenkins, ArgoCD, Azure DevOps, GitLab CI) Experience with performance optimisation in high-traffic environments Ability to collaborate effectively with engineers, product managers, QA, and stakeholders Comfortable working both independently and as part of a distributed engineering team WHAT’S IN IT FOR YOU? Be part of our collegial environment where responsibility and authority are shared equally amongst colleagues and help create our company culture. A culture in which we don’t criticise failure but ensure we learn from our mistakes An Agile environment where your ideas are welcome The possibility to grow and experience different projects Ongoing Training & Mentoring The possibility of travelling

Location: San Francisco, California Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: This role will be based in San Francisco. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. You’ll build the systems that let any knowledge worker leverage fast, scalable databases without having to become a DBA. You’ll be a hands-on technical leader, helping set the architectural direction and roadmap as we take a new product from early alpha to general availability. You’ll work directly with early customers to shape foundational technical and product decisions. Then, together, we’ll work on scaling as adoption and workloads grow. This is a backend-leaning role with work spanning the stack. You might build the systems that provision and manage a fleet of customer Postgres instances, design how user-defined schemas evolve safely, or make complex queries execute efficiently. You’ll also follow those systems into the product: improving how a table loads, how users understand a slow operation, or how an agent safely works with their data. You’ll help shape the architecture and the product together. Some problems call for a better abstraction, others for a better default, and others for rethinking what we ask the user to do in the first place. You’ll work with teammates and customers to find those answers, ship practical solutions, and evolve them as usage grows. Our stack includes Postgres, Go, TypeScript, Node.js, and React. ABOUT THE TEAM: The people who understand a business best aren’t always the people who can build its software. A support lead knows how tickets should be triaged. An operations manager knows how inventory should move. But turning that knowledge into a reliable system often means finding an engineer, provisioning a database, and building an application. We’re building database infrastructure for everyone else. We want everyday knowledge workers to bring their data into Notion, connect it, and build workflows around it. And do so with the power of a real database (Postgres!) and the approachability of a tool they already know. AI agents make that opportunity even bigger: helping people build and operate systems they couldn’t have created on their own. For our team, this is much more than putting a friendly interface on Postgres. It means making hard database problems disappear from the user’s workflow without sacrificing correctness, performance, or flexibility. How do you let someone reshape a live database as easily as editing a document? Make the right indexes exist without asking someone to become a DBA? Let a weekend experiment grow into a company’s system of record without anyone having to rearchitect it? WHAT YOU'LL ACHIEVE: - Take a new product from alpha to general availability. Work with early customers to understand what matters, iterate on feedback, and help shape what we ship. - Make real customer workloads fast. Improve query execution, indexing, and client data loading so performance holds up as datasets grow and workflows become more demanding. - Build systems businesses can trust with their data. Make schema changes, concurrent writes, permissions, and recovery reliable enough for customers to build essential workflows on top. - Make powerful capabilities approachable. Turn database provisioning, migrations, and indexes into a reliable, easy-to-use product experience that gives people the power of a database without the burden of managing one. - Build for the customers who come next. Automate database provisioning and fleet operations, strengthen observability, and evolve the architecture so we can serve many, many customers. SKILLS YOU'LL NEED TO BRING: - Production relational database experience (e.g., Postgres or MySQL). You’ve made decisions about schemas and indexes, analyzed database performance, and debugged issues involving transactions, locking, or concurrency. Your experience goes beyond accessing a database through an ORM. - Engineering experience and technical leadership. You bring 10+ years of experience building and operating production software, with a track record of setting technical direction and leading complex, cross-team initiatives from concept through delivery. You identify the most important problems to solve, turn ambiguous goals into a technical strategy, and align engineers and partner teams around a practical plan. You stay hands-on while helping others make better decisions through design reviews, mentorship, and clear technical guidance. - Strong backend engineering fundamentals. You’ve built services that need to remain correct under concurrency and failure. You can reason about retries, partial failures, consistency, and the trade-offs involved in reliable reads and writes. - A systematic approach to performance. You use query plans, traces, profiles, and experiments to find bottlenecks and verify improvements. You’re willing to follow a problem across storage, services, and client code rather than stopping at a team boundary. - Product judgment. You’re interested in who will use what you build, not just how it works. You can turn a customer’s problem into a technical approach and recognize when a better default or simpler workflow would solve it more effectively. - Willingness to work across the stack. You bring backend depth, but you’re comfortable learning unfamiliar systems and working in client code when that’s what delivering a good experience requires. - Fluency with AI-assisted engineering. You use AI to accelerate exploration, implementation, and testing while taking responsibility for understanding and validating the result. NICE TO HAVES: - Experience managing fleets of databases or building database platforms, including provisioning, upgrades, backups, and recovery. - Deep Postgres expertise, such as advanced query optimization, performance tuning, or workload isolation for large datasets and high-concurrency workloads. - Experience building query layers, sync engines, change-data-capture pipelines, permission systems, or other reusable data abstractions. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $234,000 – $352,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: London, England; Remote, Europe; Remote, Asia; Remote, US Workplace: remote About us   Aave Labs began with a simple question: how do we make financial services like borrowing, saving, and earning more accessible globally?   We built the Aave Protocol, now the world’s largest and most trusted onchain lending market, connecting decentralized finance with individuals, traditional finance, and fintech.   Today, we build trusted, high-quality products that expand access to lending, credit, and savings globally   Our culture   We build trusted products that help people access and discover economic opportunities.   We hold a high bar for quality and craftsmanship. No detail is too small. Trust depends on it.   We’re a global team building products people can actually use, turning complex technology into something simple and reliable.   We stay aligned, move quickly, and think long term, while keeping teams lean and focused on impact.   About the Role Aave is looking for a Protocol Security Researcher to help build its internal protocol security function. The role sits at the intersection of smart contract security, protocol design, adversarial research, and AI-assisted review. You will help assess major protocol changes before deployment, maintain security context across Aave’s deployed systems, and reason about the risks introduced by critical dependencies, integrations, and Aave-adjacent infrastructure. This is not a narrow audit role. The goal is to improve Aave’s ability to understand and reduce protocol risk continuously. How you can make an impact: Review major Aave protocol changes before external audit or deployment Perform attacker-driven analysis of smart contracts, protocol mechanisms, and integrations Participate in design and architecture discussions early enough to influence security-relevant decisions Identify risks in Aave-adjacent systems, including assets, bridges, oracles, adapters, and critical dependencies Contribute to AI-assisted security tooling and evaluate its effectiveness in real review workflows Turn review findings into reusable knowledge, invariants, assumptions, and testing or monitoring ideas Work with monitoring and incident response teams when review findings imply operational detection or response needs Collaborate with external auditors by helping define scope, known risks, and areas of concern Let's connect if you have: 5+ years of relevant security experience Strong smart contract security background Ability to independently review complex codebases and reason about protocol-level failure modes Attacker mindset: you can move from “this looks wrong” to “this is how it could be exploited” Strong understanding of DeFi mechanisms, including lending, liquidations, accounting, oracles, collateral, governance, and integrations Evidence that you are actively using AI to improve security research, review quality, or review throughput Clear written communication: you can explain risk, impact, uncertainty, and trade-offs to engineers and non-security stakeholders Good judgment about severity, exploitability, and when a finding matters Nice to haves: Experience with formal methods, fuzzing, invariant testing, or custom security tooling Experience building internal tools for security review, code understanding, or knowledge management Experience working with external audit firms or leading audit engagements Familiarity with governance payloads, upgrade systems, permissioning, and incident response Open-source security research, published findings, CTFs, bug bounties, or prior public vulnerability research Haven’t quite met all the criteria? Let’s not miss out on the chance to speak. Whilst you might not meet every single requirement, you might bring other, more exciting skills to the companies!   Equal opportunities statement:   Aave Labs celebrates diversity and views each and every team member as a separate individual with their own unique identity. No matter your race, religion, gender, ethnicity, age, disability, sexual orientation or even the wallet you use, we welcome you at Aave Labs. As an equal opportunities employer, we take accountability and believe in everyone's potential to build, create and inspire changes. With a mission to build a diverse workforce, we are proud to foster a working environment in which everyone can feel safe and valued for who they are.

Location: European Union Workplace: Remote ABOUT PLAYSON Playson builds premium casino games and platform solutions for operators worldwide. Our products reach millions of players across regulated markets, and we ship frequently - which means our certification and compliance evidence has to be as well-engineered as the games themselves. We are hiring a Software Developer, Compliance, to own that engineering: a pipeline that lets us ship faster and safer, and a defence of the platform and the games that holds up in front of a lab, an ISO assessor, and a future SOC 2 auditor. About the role You are a software developer sitting inside compliance. You will build and continuously evolve a secure compliance pipeline so we can ship games and platform changes faster and safer - and you will be the technical person who defends what we shipped when an auditor, a certification lab, or a regulator asks. The scope is not games alone. You will stand in front of game certification labs, and you will also defend the platform: ISO certification of our systems and the evidence work that leads into a future SOC 2 audit. In every case, the job is the same. You produce the proof. You walk the auditor through it. You answer the question that was asked, with the evidence that was requested, and you stop there. You will own the technical side of game certification. You take a game math package from the review channel to the lab, you produce the evidence the lab needs - build hashes, PAR sheets, configuration snapshots, version manifests - and you answer the lab's technical questions yourself, without a developer sitting next to you. When a certificate comes back, you are the person who confirms every deficiency is closed before the game is allowed past the pre-release gate. Between lab submissions, you treat the pipeline as a product. Manual evidence collection, one-off screenshots, and tribal knowledge are the things you replace. You automate controls, tighten the audit trail, and shorten the path from "ready to ship" to "ready to show an auditor" without weakening the bar. Faster and safer at the same time is the point of this role - not one at the expense of the other.   WHAT WE'RE LOOKING FOR - You are a developer first. 3+ years writing production code, comfortable reading someone else's codebase and forming your own opinion about what it does. You are not a documentation coordinator who learned some technical words - Strong Node.js and TypeScript. Our game math packages, engine integration, rules and bets migrations, test suites, and compliance automation are all JavaScript-side. You will read game math code and verify that what it does matches what we told the lab it does - and you will write the tooling that makes that check repeatable - You know what it takes to build certified products. You have worked for an iGaming game provider, a lottery, or another business where products require certification. You understand how that shapes development, testing, and releases, and why the code and supporting evidence need to stay aligned. - You build pipelines, not checklists. You have taken a manual, high-stakes process and turned it into something engineered: automated evidence, versioned artefacts, gates that fail closed - You can read data and write queries. SQL against a production analytics store, log investigation, understanding a metrics pipeline well enough to tell a real control failure from a broken dashboard - Composure in front of an auditor. In a lab session, an ISO assessment, or a future SOC 2 walkthrough, you answer the question that was asked with the evidence that was requested. You communicate with auditors and certification labs precisely and factually. You provide complete evidence for the question or control being assessed, avoid speculation, and escalate regulatory interpretations to the Head of Compliance - You know where your authority ends. When a question moves from technical fact to regulatory interpretation or commercial consequence, you route it to the Head of Compliance instead of improvising - You write clearly and permanently. Compliance evidence is read years later by people who were not in the room. Your documentation has to survive that - You are comfortable saying no. You will be the person telling a squad, under release pressure, that their change does not pass the gate. That conversation needs to be calm, specific, and final - Precise by temperament. You check the version number rather than remembering it. You are not bored by an audit trail     NICE TO HAVE - Direct dealings with a certification lab (GLI, BMM, eCOGRA, iTech Labs, or similar) or a gaming regulator - Hands-on evidence work for ISO 27001, SOC 2, or an equivalent information-security audit - Understanding of RNG, RTP mathematics, and how statistical certification evidence is produced - Familiarity with multi-jurisdiction licensing (UKGC, MGA, and regulated EU and LatAm markets) - Observability and alerting tooling - Datadog or equivalent, including building automation on top of it rather than just reading dashboards - Experience with change-management controls, audit trails, and segregation-of-duties models - Incident response experience, particularly where the incident had a regulatory or audit dimension     WHAT YOU CAN EXPECT ON THIS ROLE - A role with real authority: you hold gate sign-off, and a release does not go past you without it - Genuine engineering work - you own the compliance pipeline as a product, not a pile of checklists with a technical title - Direct exposure to certification labs, ISO assessors, and the path to SOC 2 - rare and portable experience - Close collaboration with math, QA, platform, and SRE across games and the platform - A compliance function that is being built up deliberately, with room to shape how it works WHAT WE OFFER - Competitive Salary - Quarterly Bonuses - Unlimited Paid Time Off - Unlimited Paid Sick Leave - Remote & Flexible Working - Private Medical Insurance - Financial Support for Life Events - Professional Development Budget - International Exposure - Regular Company Events *Benefits may vary depending on location and contractual agreement Join us today!   By submitting your application, you acknowledge that your personal data will be processed in accordance with our Privacy Policy https://playson.com/privacy.

Location: Bulgaria, Poland Design, build, and optimize enterprise-grade solutions across a Salesforce ecosystem. Own end-to-end technical delivery: from detailed solution design and scalable development to deployment, integration enhancements, and production support, while continuously improving existing functionality as business needs evolve. Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers. What You’ll Do Analyze and validate business, functional, and technical requirements to define effective solution approaches Provide technical guidance and mentorship to team members, ensuring adherence to Salesforce best practices and CCC-approved design standards Design, build, and deploy high-performance, scalable solutions across the Salesforce ecosystem Collaborate with Salesforce developers, ETL teams, Business Analysts, and cross-functional partners to deliver cohesive end-to-end solutions Evaluate existing systems to identify improvement opportunities and recommend changes that align with business objectives Troubleshoot and resolve complex system issues, performing detailed root-cause analysis and driving timely resolution Assess requirements and provide recommendations on scope, development effort, and technical feasibility Research, evaluate, and introduce new tools, technologies, and best practices to continuously enhance solution quality Perform architecture, design, and code reviews to ensure maintainable and scalable implementations Participate in sprint planning, project planning, release coordination, and Agile ceremonies Provide regular updates during daily Scrum meetings and status reporting What You Bring Extensive hands-on Salesforce development experience with strong proficiency in core platform capabilities Preferred certifications: Platform Developer I & II, Administrator, Advanced Administrator, Sales Cloud, and Service Cloud Deep expertise in Sales Cloud, Service Cloud, and overall platform architecture—including data modeling, security, and automation frameworks Advanced experience with Apex triggers, Apex classes, Lightning Web Components (LWC), Aura components, Visualforce, Batch Apex, Queueable Apex, Flows, and REST/SOAP integrations (JSON & XML) Strong troubleshooting skills with the ability to diagnose and resolve production issues including automation failures, Apex exceptions, and integration errors Thorough understanding of Force.com framework, governor limits, integration patterns, and Salesforce design best practices Comprehensive knowledge of Salesforce security/sharing models, custom object/field configuration, data management, workflows, validation rules, page layouts, and integration troubleshooting English Language Upper-Intermediate Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more. Reasonable accommodations are available to enable individuals with disabilities to perform essential functions. Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs. Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Location: Distributed About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Germany Responsibilities The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value. You'll guide startup and AI customers from the first conversation about their AI ambitions through technical validation, production deployment, and long-term adoption and expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the Startup AI segment. Technical Discovery & Validation: Partner closely with Account Executives to lead technical deep-dive discovery and uncover what kind of AI problem a customer actually has. It might be building AI products and agents, governing how their people and agents use AI, or protecting internet-facing applications from AI-driven threats and traffic. Turn that into a sequenced plan rather than a feature tour. Capture business requirements and map startup and AI customer infrastructure (DNS, CDN, Zero Trust, Network Security, serverless and edge compute) to fit-for-purpose Cloudflare architectures and bespoke solutions. Define scope, success criteria, and technical evaluation plans for Proofs of Concept (PoCs) and Technical Validations, anchored in measurable quality, latency, and cost targets rather than subjective impressions. Rapidly build working, customer-specific prototypes. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, reliability, and scale challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional Services) being an integral part of all proposals. Customer Adoption & Value Realization: Oversee technical onboarding and implementation without executing it yourself, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer's environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance). Act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Guide customers in taking AI applications and agents from prototype to production in a way that is reliable, safe, and affordable. That covers durable state and failure recovery for long-running agents; secure agent design such as defenses against prompt injection, scoped access, and human approval for sensitive actions; and the right model choices for each task. After go-live, help customers keep AI workloads healthy through tracing, quality and cost monitoring, and safe rollout of model and prompt changes, feeding production learnings back into evaluation. Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk as customers move from early-stage development to production scale. Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data and the evolving needs of startup and AI customers. Translate AI spend into clear business cases, such as cost per task or per resolved request. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for founders, C-level executives, and engineering leaders. Ecosystem & Business Development: Help build and grow Cloudflare's presence in the startup and AI ecosystem. Develop relationships with incubators, accelerators, venture capital firms, founder communities, and developer meetups to generate new pipeline alongside Account Executives. Represent Cloudflare at startup events, demo days, and hackathons, and identify high-potential AI startups early in their journey. Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with founders, CTOs, engineering leaders, and other key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, agent design, AI governance and compliance (e.g. GDPR, EU AI Act, data residency), security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. AI Orchestration & Workflow Automation: Use AI agents, coding agents, Large Language Models (LLMs), and internal platforms as a default way of working. Automate routine tasks such as meeting preparation, RFP/Security Questionnaire responses, sandbox provisioning, demo setup, basic telemetry monitoring, and internal/external documentation, so you have more time for strategic customer advisory. Apply AI-assisted workflows to support customer engineering teams and improve the speed and quality of technical validation. Share hands-on learnings and gaps with product teams as a direct feedback channel. Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Support technical enablement for startup and AI customers through workshops, code samples, documentation, and developer onboarding. This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration. Desirable Skills, Knowledge, and Experience Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). Experience working with startups, AI companies, digital-native businesses, or as part of a startup engineering team is strongly valued. Startup Ecosystem Network: An established network within incubators, accelerators, venture capital, and the broader startup scene is highly desirable, along with the drive to take on business development activities and open doors to new relationships. Architectural Mindset: Ability to white-board, design, and articulate complex enterprise, startup, AI application, agent, network, and security architectures clearly. Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives, founders, and technical leaders. Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise, mid-market, or startup sales cycles. Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. Business fluency in German is required. Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. AI Engineering: Solid grounding in AI model fundamentals (model size, context length, reasoning models, fine-tuning versus prompting, and matching the right model to the job). Familiarity with common agent patterns, including knowing when a simple workflow beats an agent, and with open agent frameworks and standards such as MCP. Understanding of how to evaluate and operate AI systems in production. AI-Augmented Workflows: Familiarity with prompt engineering, building prototypes with coding agents, AI-assisted scripting and log analysis, and workflow automation to augment everyday CE workflows. Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Bonus Points Technical Enablement: Track record of creating and delivering technical enablement (workshops, code samples, documentation, or developer onboarding) that accelerates customer adoption of complex platforms. Applied AI Knowledge: Hands-on experience with retrieval and knowledge systems (RAG, embeddings, reranking, agentic search), domain adaptation through lightweight fine-tuning, sandboxed execution environments for agents that write and run code, LLM orchestration, or model-access controls. AI Traffic & the Agentic Web: Understanding of how AI crawlers and agents interact with internet-facing applications: protecting AI endpoints, managing bot and agent access, and exposing services to agents. Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, SOC 2, GDPR, and the EU AI Act. Hyperscaler / Digital Native / Startup Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency, advanced architecture depth, and ability to operate effectively in fast-moving, ambiguous environments. Compensation For Germany based hires: Estimated annual salary is between €116,000 - €182,000. This role is eligible to earn incentive compensation under Cloudflare's Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan. Equity: This role is eligible to participate in Cloudflare's equity plan. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Workplace: remote Requirements Automation Experience: Practical experience automating tests with tools such as Selenium, Appium, GameBench, TestComplete, or similar Programming & Scripting: Essential programming and scripting skills (Java) Agile Methodologies: Clear understanding of Agile/Scrum methodologies and iterative software development lifecycle QA Tools: Basic experience with test management and bug tracking tools (e.g., Jira, TestRail) Soft Skills: Strong problem-solving ability, analytical thinking, and effective communication skills Education: Bachelor’s degree in a technical discipline or equivalent practical experience Nice to have Certifications: Certifications in software testing or automation (e.g., ISTQB) CI/CD Practices: Familiarity with CI/CD practices and pipeline tools Multi-Project Environments: Exposure to working in cross-team, multi-project work environments Responsibilities Automation Development & Maintenance: Design, write, and maintain automated test cases using industry-leading frameworks and tools Defect Analysis & Investigation: Analyze test results, identify defects, investigate test failures efficiently, and provide detailed reports and timely feedback to technology teams and stakeholders Code Reviews & Best Practices: Participate in regular code reviews and adopt best practices in coding, automation design, and quality engineering CI/CD & Agile Ceremonies: Support the integration of automation suites into CI/CD processes and actively participate in agile ceremonies (sprint planning, stand-ups, retrospectives) Cross-Functional Collaboration: Collaborate with development and QA teams to clarify project requirements, ensure adequate test coverage, and contribute to team documentation and knowledge bases We offer Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota; Competitive compensation that depends on your qualification and skills Career development system with clear skill qualifications Flexible working hours aligned to your schedule Options to work remotely Corporate medical insurance covering services of private and public medical centers English courses online Corporate parties and events for employees and their children Internal conferences, workshops and meetups for learning and experience sharing Gym membership compensation 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate Any questions? Anna hh@itransition.com

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. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity OKX is going all-in on AI-native localisation. The field has long been stuck on one trade-off: you can have translation quality, or you can have scale, but not both. And the real question was never "is this translation accurate?" — it's "can the user actually understand it and get through the flow?" Web3 is the hardest place to solve this. The vocabulary reinvents itself constantly, with new tech jargon, protocol names and memes appearing every week. It sits next to dense, high-stakes trading terminology, where a single mistranslated word can mislead a user or move money. And every market has its own fast-moving regulations, so the "right" translation is a moving target that must stay compliant across jurisdictions in real time. If you want a localisation problem that is genuinely unsolved — high ambiguity, high stakes, high velocity — this is it. We're going to break the trade-off with agents. You will own the 0-1 build and launch of two things: A frontier agentic translation system that localises every market (20+ languages) with a human-in-the-loop mechanism. A self-improving agentic QA product that autonomously evaluates translation and end-to-end localisation quality, flags its own failures, and closes the loop. This is a build-the-frontier role, not a manage-the-vendor role. This role does not require a linguistics or translation background, multilingual ability, or algorithm engineering skills. We're looking for a PM leader who can build a frontier agentic translation and QA system from 0 to 1 — and make the whole organisation share responsibility for localisation quality. What You’ll Be Doing You will lead a squad of product managers and developers, and work hand-in-hand with language managers, to ship the translation and QA systems into production. You set the product direction and quality bar; your PMs and engineers build the agents, harness and evals; and the language managers ground the system in what "good" actually means in each market. Your job is to make these three groups operate as one team — and to make localisation quality something the whole organisation owns, not just the language team. Own the agentic translation system Architect and ship it end to end, from 0 to 1, across all markets and 20+ languages — where models carry the work and humans set the standard and make the final call. Break the cost curve: hold quality flat while coverage scales across languages, content and release velocity, so cost stops growing linearly with the business. Make the system interoperate cleanly with OKX's existing localisation stack and content pipelines, rather than living as an island. Build the agentic QA and quality automation Stand up an autonomous QA agent that evaluates translation and localisation quality at scale — catching regressions before release, monitoring in production, and self-verifying every fix, using LLM-as-a-judge and eval harnesses rather than manual review. Evaluate not just accuracy and fluency but cultural fit, bias and safety — especially on regulated and financial content, where a wrong or non-compliant phrasing is a real risk. Make quality measurable: define and drive a hard quality signal — human-acceptance rate, or the edit effort needed to reach shippable quality (e.g. Translation Time-to-Edit) — so quality is a metric the system optimises against, not a subjective call. And protect the funnel: conversion on key user journeys should never be adversely affected by language or localisation issues. Make it self-improving Drive a sustained reduction in severe and recurring production issues — every escape becomes a new guardrail, and the system gets smarter with every release. What We Look For In You PM leader who has taken a frontier agentic product from 0 to 1, beyond translation. Proven ability to ship genuinely novel products at the edge of LLM capabilities—and repeat that success here. Accountable for business outcomes and measured on business metrics, not delivery volume. Deep hands-on experience building large-scale, frontier-LLM agentic systems from 0 to 1. Experience with harness/orchestration layers, multi-agent workflows, and LLM-as-a-judge or automated evaluation pipelines. Has built quality systems, automated evaluations, or release gates that enable confident autonomous-system launches. International product experience serving users across multiple languages and regions. Nice to Haves Built an agentic system from scratch Shipped agentic / LLM applications in production Finance, payments or another highly regulated industry. 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! #LI-WWW #LI-ONSITE 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 .