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Location: Serbia Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another. Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world. We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world. We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025). We are looking for IT Support & Operations Specialist . Your main tasks will be: Run the infrastructure end-to-end: VPS, dedicated servers, virtual machines, VPN, MFA, firewall, remote access — plus the monitoring, logging, and backups that keep it honest. Administer Google Workspace completely — accounts, groups, aliases, security policy, SPF/DKIM/DMARC, and any migrations that come with it. Own Slack, OpenAI, and every other SaaS platform we run — including version and system migrations when they happen. Be the actual IT support for a distributed team — L1/L2 on Mac and Windows, onboarding and offboarding, remote laptop setup, device lifecycle. Negotiate with vendors, manage procurement, and control payment on cloud resources, licenses, and invoices — the part most sysadmins never touch, but you will. Show up occasionally when we run an offline "station" and physically set up the room — laptops, mics, sound. We expect from you: You've spent 5+ years as a sysadmin or in IT ops, and you've actually run Google Workspace top to bottom — including a domain migration, not just user management. You know Slack, Confluence, Jira, and SSO/2FA (Okta, Google, Azure AD or similar) from hands-on use, not a course. You've got working knowledge of at least one public cloud (AWS/GCP/Azure) and the on-prem basics — DNS, DHCP, VPN, VLAN, firewall. You've built and tested backups, not just scheduled them, and you understand mail security (SPF/DKIM/DMARC) well enough to fix it when it breaks. You've dealt with vendors and procurement directly — contracts, invoices, renewals — this isn't a nice-to-have here, it's half the job. Scripting (bash/Python/PowerShell) is a plus, not a requirement. Your English and Russian are both solid enough — B1+ — to run a call with a vendor without a script. What do we offer: REMOTE OPPORTUNITY to work full-time; The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment; Vacation 28 calendar days per year; 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave; Bonuses up to $5000 for recommending successful applicants for positions in the company; 50% payment for professional training, international conferences, and meetings; Corporate discount for English lessons; ​ Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children); ​ Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years; Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc. Sounds good? Join us now!

You will own systems and the technical decisions inside them. What you’ll own.

— Provide IT support to employees (Windows / macOS). — Administer Google Workspace, Entra ID / Active Directory.

Разработка дашбордов и алертов, включая рефакторинг и оптимизацию.

Ping Identity is looking for a Senior Technical Support Engineer to resolve customer technical issues and manage escalated support cases.

-Разработка и доработка функциональности УТ 11, БП и ЗУП. -Развитие и сопровождение обменов между конфигурациями 1С, сайтом, мобильными приложениями и другими системами.

Location: Москва Мы в поиске опытного AI разработчика для участия в проектировании и реализации единой корпоративной агентной платформы. Платформа должна предоставлять пользователю единую точку взаимодействия с различными информационными системами и бизнес-процессами. Главный агент должен понимать намерение пользователя, использовать контекст диалога, планировать выполнение задачи, привлекать специализированных агентов и инструменты, объединять результаты и при необходимости запрашивать подтверждение пользователя. Обязанности **Будущему коллеге предстоит не только заниматься LLM, но и построить полноценную программную платформу вокруг них:** • главный агент-оркестратор; • специализированные агенты; • реестр инструментов; • управление контекстом и состоянием; • межагентное взаимодействие; • интеграция с корпоративными системами; • безопасность; • наблюдаемость; • тестирование качества; • отказоустойчивость. Роль предполагает hands-on участие. Требования **Опыт :** • От 3 лет коммерческой backend-разработки. • Опыт технического проектирования распределённых систем. • Практический опыт работы с LLM и агентными системами. • Желателен хотя бы один агентный или LLM-продукт, доведённый до пилотной либо промышленной эксплуатации. • Опыт технического лидерства или владения архитектурой крупного модуля. • Умение работать в условиях неполных требований и постепенно формировать целевую архитектуру. • Способность общаться как с разработчиками, так и с владельцами бизнес-процессов. **Проектирование:** • Практический опыт разработки LLM-агентов и agentic workflows. • Понимание различий между агентом, инструментом, workflow, multi-agent системой и обычным чат-ботом. • Опыт реализации supervisor/orchestrator-архитектуры. • Планирование и декомпозиция сложных пользовательских задач. • Выбор специализированного агента или инструмента. • Реализация взаимодействия между агентами. • Параллельное выполнение независимых задач. • Управление состоянием долгоживущих сценариев. • Работа с краткосрочной и долгосрочной памятью. • Контроль циклов, timeout, retry и fallback. • Разрешение конфликтующих результатов нескольких агентов. • Human-in-the-loop и запрос подтверждения перед критичными действиями. • Защита от бесконтрольного поведения и необоснованных действий агентов. **Межагентское взаимодействие:** • типизированные сообщения между агентами; • контракты задач и результатов; • делегирование задач; • общий и изолированный контекст агентов; • очереди и приоритеты задач; • синхронное и асинхронное взаимодействие; • передачу управления между агентами; • трассировку цепочки выполнения; • предотвращение зацикливания; • повторное выполнение и идемпотентность; • обработку частичной недоступности агентов и инструментов **Python + Backend:** • Сильное знание Python. • Async/await и конкурентное выполнение. • FastAPI, Pydantic, pytest. • Проектирование API и типизированных контрактов. • Модульная и гексагональная архитектура. • Интеграция нового функционала в существующие системы. • REST, gRPC, WebSocket или Server-Sent Events. • Очереди сообщений и фоновые задачи. • Работа с долгоживущими и асинхронными процессами. • Понимание микросервисной архитектуры и модульных монолитов. • Умение проектировать систему без жёсткой зависимости от конкретной LLM или фреймворка. Условия * комфортный современный офис: Москва, ул. Вавилова 19 * офисный формат работы на период испытательного срока, после ИС - возможен гибрид * ежегодный пересмотр зарплаты, структура дохода: оклад + годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте (для Junior позиций) * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Team Cloud Infrastructure Engineering is a critical engineering discipline and a job function in the company. Its charter is to build tools and infrastructure that promote early detection of production failures, leading to a stellar customer experience. Our work is to drive safety, health and uptime of our platform, and the ability to remedy unforeseen problems. By removing some of the complex burdens on how to scale and maintain uptime in distributed systems, Cloud Infrastructure Engineer allows development teams to focus on feature development instead of the nuances of achieving and maintaining service level commitments. About the Opportunity: We’re looking for a creative and driven individual that can spearhead our effort to push “outside the box” infrastructure implementations, that will have a tremendous impact on our platform’s stability and scalability. What You’ll Be Doing: Responsible for the maintenance and configuration of AWS products and services Responsible for the research, architecture and project implementation solutions based on AWS products Responsible for the daily maintenance of each AWS cloud environment Support the deployment, maintenance and scaling of big data and machine learning platforms (e.g., Databricks, AWS SageMaker, Aliyun DSW) to enable data processing and model training workflows Own the Databricks platform on AWS end to end: workspace provisioning, account/workspace configuration, cluster policies, instance pools, and SQL warehouses, managed as code via the Databricks Terraform provider Monitor and optimize Databricks cost and performance, including cluster sizing and autoscaling, Photon/serverless adoption, DBU usage tracking via system tables, and job reliability tuning Automate the provisioning, scaling, and configuration of infrastructure resources using tools like Terraform and CI/CD pipelines Assist the team in troubleshooting and resolving production database issues during incidents Monitor company services and handle alerts in a timely manner to ensure service stability and uptime Collaborate with development teams to ensure seamless integration and deployment of new features Design, build and maintain internal platforms and tooling to improve operational efficiency, and support unified multi-cloud management across AWS, Alibaba Cloud, and other providers What We Look For In You: Bachelors degree or above, major in Computer Science or relevant domains, with over 6 years of experience in DevOps, SRE, DBA or related positions Proficient in AWS distributed management, large-scale clustering, fault tolerance, backup, load balancing and other technologies Have a deep understanding of high availability architecture, capacity planning, and rich experience in handling complex problems Have solid Linux platform operation and maintenance and debugging capabilities, and be proficient in troubleshooting, configuration tuning, and performance analysis Familiar with Kubernetes (k8s) for container orchestration and management Familiar with the functional features of AWS products and core products, and have rich practical experience in deployment and tuning of EC2, EKS, VPC, or big data products Experience with microservices architecture, including deployment, scaling, and maintenance Experience in monitoring, O&M and management of AWS large-scale servers and containers Experience in relational databases (e.g., MySQL, PostgreSQL) and NoSQL or big-data storage systems (e.g., Redis, MongoDB, HBase) is a plus Hands-on experience with big data / machine learning platforms such as Databricks, AWS SageMaker, or Aliyun DSW, including supporting data pipelines, notebook environments, and model training/deployment workflows Familiar with the deployment, configuration and maintenance of Nginx, kong and other software Proficient in using Python/Go/shell for development Strong engineering skills, proficient in at least one infrastructure sub-area, public cloud networking, SRE, DevOps or cloud-native Experience with internal developer platforms and proficiency in AI-assisted development tools (e.g., Claude Code, Codex) to improve engineering efficiency Working knowledge of Terraform or similar IaC tools is a plus Excellent business analysis ability, system architecture ability, and problem-solving ability. and strong self-drive Nice to Have: Bilingual in English and Mandarin Familiar with the operation and maintenance management of Alibaba Cloud, Google Cloud, Microsoft Cloud and other cloud providers. 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! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $214,666 to $321,999. The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. #LI-SK1 #LI-HYBRID Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Brussels, Belgium We currently have a vacancy for a Data Scientist – Text mining / NLP fluent in English, to offer his/her services as an expert who will be based in Brussels, Belgium. The work will be carried out either in the company’s premises or on site at customer premises. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team on site and off site. Your tasks Design, implement and optimise advanced AI, NLP, and ML models. Use LLMs, RAG frameworks, and other state-of-the-art approaches; Create methods for tokenisation, part-of-speech tagging, named entity recognition, classification, clustering and other text mining-related tasks; Fine-tune pre-trained models on domain-specific tasks; Conduct thorough research and stay updated on the latest trends and advancements in NLP, ML, and AI technologies; Develop and maintain robust, scalable, and efficient code using Python; Collaborate with cross-functional teams to integrate AI/ML solutions into existing products and services; Perform rigorous analysis and experimentation to improve model accuracy, efficiency, and scalability; Participate in peer reviews and contribute to the continuous improvement of AI solutions; Contribute to the design and implementation of ML application architecture and its solution stack; Develop comprehensive reports and visualisations to communicate insights and findings to stakeholders. Requirements Bachelor degree in IT with focus on Statistics, Data Science, Machine Learning combined with 12 years of relevant working experience ; Experience in Machine Learning and Natural Language Processing; Experience with AI-powered code assistants (e.g., Amazon Kiro, Github Copilot), staying updated with advancements in AI-driven code technologies; Experience with A/B testing and experimental design of ML models; Experience with pre-trained models and LLMs like GPT, and other Transformer-based architectures; Experience with tools like Matplotlib and Seaborn for creating data visualisations; Experience with deep learning frameworks for complex model architecture such as TensorFlow or PyTorch; Proficient in continuous code delivery and unit testing; Excellent knowledge of Python and libraries (e.g. Pandas, SpaCy, NLTK, Hugging Face); Good knowledge of SQL tooling (Oracle, PostgreSQL); Knowledge of NoSQL databases (Elasticsearch, MongoDB); Knowledge of architectural design of scalable ML solutions such as model servers, GPU resource optimization; Knowledge in one of the following areas: predictive (forecasting, recommendation), prescriptive (simulation), topic detection, plagiarism detection, trends/anomalies detection in datasets, recommendation systems; Understanding of bias in ML applications and bias mitigation techniques; Strong understanding of linguistics and text processing techniques; Good knowledge of European Commission grant management ecosystem (eGrants) would be an asset; Excellent command of the English language. Benefits If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual and multicultural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference (158834/11/2026). We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential. EUROPEAN DYNAMICS (ED) ( www.eurodyn.com ) is a leading Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Stockholm, London, Nicosia, Hong-Kong, Valetta, etc). The company employs over 600 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc or equivalent). We design and develop software applications using state-of-the-art technology. The group generates annual revenues in the range of EURO 40 million, with an EBITDA in the range of 20%. The value of our contract portfolio exceeds EURO 250 million. EUROPEAN DYNAMICS is a renowned supplier of IT services to government institutions, multinational corporations, public administrations and multinational companies, research and academic institutes. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion. EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in www.eurodyn.com/privacy . By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorise ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy. Furthermore, when providing your data, it is up to you to explicitly consent that your data can be assessed for future job openings, for as long as you do not withdraw such consent. If you do not consent, we will not be able to consider the data you provide to us for future job openings.

Location: Warsaw, Poland; Madrid, Spain; Tbilisi, Georgia; Sofia, Bulgaria; Yerevan, Armenia; Podgorica, Montenegro CloudLinux is a global remote-first company. We are driven by our principles: do the right thing, employees first, we are remote first, and we deliver high-volume, low-cost Linux infrastructure and security products that help companies to increase the efficiency of their operations. Every person on our team supports each other and does what we can to ensure we all are successful. Check out our website for more information: https://cloudlinux.com/ Imunify360 is CloudLinux's security suite for Linux web servers: real-time and background malware scanning, automated cleanup, a WAF, runtime PHP protection (Proactive Defense), a database malware scanner, and IP reputation. It runs on hosting providers' shared, VPS, and dedicated servers, so new web-malware campaigns land on our fleet early. We sit on one of the largest labeled corpora of live web-server malware in the industry: files, verdicts, cleanup outcomes, and analyst decisions collected from production hosting servers every day. It already drives our signatures, heuristics, and ML models, and there is far more to get out of it. We are looking for a Senior ML Engineer who will turn that data into detection that ships — classifiers, LLM-assisted triage and generated signatures — and keep exploring new ML/LLM methods against it, measured by the product's false-negative and false-positive rates, not by notebook accuracy. Our dataset focuses on web malware — PHP, JavaScript, HTML phishing kits, infected WordPress and Joomla plugins and themes, database injections — with the context around each file. What you'll work with: Malware samples from production servers, with verdicts and analyst decisions Years of signatures and detection rules Customer-reported false negatives and false positives Runtime behavior of code on live sites Web-attack traffic File metadata and how files spread across servers Cleanup outcomes, including what came back What you will do: The goal is 10x more malware detected at the same or lower false-positive rate. Hand-written rules and faster pipelines will not get there; models trained on our data might. Decide which files on a server deserve a closer look, within tight CPU and memory budgets Tell malicious code from benign at fleet scale and a sensible cost per file Generate detection signatures automatically from new campaigns Catch malware that only looks malicious in context, such as phishing pages and script injections Route each file to the right detection engine Make cleanup precise so sites stay clean afterwards Prove each model improves detection before it ships How we work: You get an experimentation track, GPUs, and a direct line to leadership; in return, you bring numbers, not opinions. Remote-first, async across UTC−5 to UTC+8. Decisions are written down (ADR-Lite) and public by default. Hardware follows evidence: Each training direction starts with dedicated GPUs on our own bare metal; leadership has committed to fund more when the case is made with data. Agentic engineering: Claude and Codex are the default tools, wired to GitLab, Jenkins, Redash, Jira, and Slite through MCP servers. We look at how engineers work with agents — context, specificity, review quality — not only at output. Close to ground truth: You work daily with malware analysts, detection and infrastructure engineers, and the rest of our ML team. Ship gates: No model or build goes out if it raises false positives or false negatives on our past-error sets. Blameless post-mortems within 24 hours. What you'll deliver: You own the path from raw samples to a model in production, and the numbers that prove it helped. First month: A first model trained on production data and measured against today's engines — suspicious-file triage or a metadata model. The evaluation harness in place: splits by time and campaign so families don't leak, and a regression set from past FPs and FNs. By month 3: Several models in production: some in shadow mode building evidence, some live and producing real detections, all gated on the past-error regression set. A training setup that keeps its GPUs busy. A written proposal (ADR) for the detection cascade, with cost per file and hardware needs. By month 12: Models are a main source of new detections, reported as share of new detections and FN-rate trend. Retraining on fresh analyst and FN labels on a fixed cadence. Generated signatures inside the analyst workflow. Two or three parallel training directions that other engineers can run with your tooling. Requirements What you bring: 5+ years building ML systems that ran in production, including 2+ in an adversarial domain: security, abuse, fraud, or spam. Y ou have trained and fine-tuned transformer models yourself — data preparation, tokenizing code, LoRA/QLoRA or full fine-tunes, distillation, quantization — not only called hosted APIs. Classic ML depth: gradient boosting, linear models on sparse features, calibration, class imbalance, and judgement on when these beat an LLM. Evaluation discipline: leakage-free splits by time and family, precision at a fixed false-positive budget, regression sets, and an honest account of why production will differ from offline. Inference cost engineering: you have measured throughput and latency and made a model fit a CPU or memory budget (ONNX, llama.cpp, vLLM, int8/int4). Strong Python, PyTorch and the Hugging Face stack; SQL on large analytical tables (ClickHouse or similar). Familiarity with PHP or JavaScript , or willingness to pick it up working with our malware analysts. You use AI coding agents daily and can show how. English at upper-Intermediate (B2) level or higher , with particularly strong written communication for async work. It is a strong plus if you have: Web malware, webshells, phishing kits or WordPress security experience. Models over code: AST or token features, code LLMs, graph models on program structure. Malware clustering and similarity analysis. Multi-GPU training on your own bare metal; MLflow or Weights & Biases; dataset versioning. Go or Rust, for on-server inference. Published work or talks on ML for security. Benefits What's in it for you? A focus on professional development. Interesting and challenging projects. Fully remote work with flexible working hours, that allows you to schedule your day and work from any location worldwide. Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves. Compensation for private medical insurance. Co-working and gym/sports reimbursement. Budget for education. The opportunity to receive a reward for the most innovative idea that the company can patent. By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy ( https://cloudlinux.com/candidate-privacy-notice ), which provides detailed information on how we maintain and handle your data.

Имплементация и поддержка в производстве высоконагруженных CV моделей. Создание, обсуждение и проверка гипотез по улучшению качества моделей.

Location: Bessé-sur-Braye, Pays de la Loire Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE MISSION You will work every day on the racks that power one of France's largest AI clusters. Mistral's compute footprint is our single largest investment and the foundation of our AI research and engineering. We're hiring Data Center Hardware Engineers to keep our GPU/CPU clusters healthy, safe and growing — hands-on, in the data center, at the intersection of high-performance computing and physical infrastructure. You'll join a small, senior team working at a scale few engineers get to experience: GPU-dense racks (H100/H200-class and next-generation platforms), high-speed interconnects, liquid-cooled systems — with new sites under development in France and beyond. Hardware here is not someone else's problem. As part of a small on-site team, you carry responsibility for it end to end. Location: On-site at one of our data center in Bessé-sur-Braye, Pays de la Loire. WHAT YOU'LL DO - Diagnose & repair server and cluster hardware: CPUs, memory, drives, NICs, GPUs, PSUs, and interconnect problems (switches, cables, transceivers; Ethernet/InfiniBand). - Intervene safely — power-off/lockout, ESD discipline, pre/post-work checklists, tidy and safe work areas. - Capture everything — photos, serials, test results; open, update and close tickets with notes the next engineer can act on. - Manage parts — receive, label and track inventory; run RMAs and coordinate with vendors. - Help us get better — feed recurring anomalies into monitoring, alerts and SOPs; contribute small scripts (Python/Bash) if you have those skills. - Be a good teammate — clear status updates, honest handovers, and respect for the people depending on the cluster. ABOUT YOU - Hands-on comfort in data centers or server hardware — you can (or will quickly learn to) work cleanly in racks: rails, cabling, labeling, mounting. - Disciplined and meticulous: checklists aren't bureaucracy to you, they're craftsmanship. - Practical electrical basics: power-off procedures, PPE, short-circuit risk awareness. - Basic Linux (boot checks, logs) — scripting is a plus, not a requirement. - Physically able to work in racks (lift, mount, maneuver) in a data center environment. - Comfortable in a 24/7 operation, including a rotating on-call with emergency response expectations. - Driver's licence (B) for travel between our sites. EVEN IF YOU DON'T MATCH EVERY CRITERION Many of our best hardware engineers came from research labs, telecoms, IT services or the military. If you are rigorous, curious and genuinely motivated by hardware at scale, we would be glad to hear from you — we assess demonstrated scope rather than keyword matching. NICE TO HAVE - HPC/AI/cloud production experience at scale; large-fleet server install and maintenance. - Networking fundamentals (Ethernet/InfiniBand) beyond basics. - Vendor/RMA tooling, ticketing (Jira/ServiceNow), inventory systems. - Python/Bash automation for checks, capture, inventory or reporting.   WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Remote - United States What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: You'll be the product manager for our Canvas and Agentic AI teams - the teams building Honeycomb's AI-powered investigation experience. Canvas lets engineers use natural language to query, visualize, and understand their production systems. We're pushing well past chat: we're building Skills (pre-configured workflows that encode domain expertise into repeatable, executable actions), Auto-Investigations (agent-driven investigations that kick off before a human gets paged), and a rearchitected Canvas that's both interactive and collaborative. You'll work in a tight triad with engineering and design leads, owning the roadmap for how AI shows up in Honeycomb, from the product UI to our MCP server. You'll partner with our Director of AI Strategy, Research & Development teams, and our customer-facing teams to stay grounded in what customers actually need while pushing toward something meaningfully different from what exists today. This is a role for someone who can hold both execution and ambiguity: shipping production features while navigating a product space where the right answers are still emerging. What you’ll do in the role: Define AI product strategy in service of Honeycomb's vision Synthesize AI trends, customer needs, and technical capabilities into clear strategic recommendations Help the product organization understand where and how AI creates genuine customer value vs. where it's hype Identify emerging observability challenges created by AI adoption (e.g., LLM drift, prompt regression, low-context generated code) Make informed bets about which AI technologies and approaches warrant investment Conduct research that bridges technology and customer reality Build deep understanding of how customers are adopting AI in their engineering workflows Identify patterns across customer conversations that signal future market needs Stay current with AI/ML developments (RAG, fine-tuning, agentic systems, etc.) and translate implications for observability Engage with technical communities, researchers, and early adopters to spot trends before they go mainstream Enable AI innovation across the product portfolio Partner with product teams to identify high-value opportunities to leverage AI capabilities Provide guidance on AI approaches, trade-offs, and best practices without centralizing all decisions Help teams understand how their work fits into our broader AI strategy and how to leverage shared capabilities Synthesize cross-portfolio learnings and socialize what's working (and what isn't) Evangelize the AI-observability connection Articulate Honeycomb's point of view on AI observability both internally and externally Help customers understand how observability needs evolve as they adopt AI Contribute to thought leadership through writing, speaking, and community engagement Build credibility with technical audiences who care deeply about how we use AI, not just that we use it What you’ll bring to the role: Proven AI product experience 5+ years in product management with at least 1+ year shipping AI/ML-powered products Track record of taking AI features from concept to customer impact, including things that didn't work Deep understanding of how engineering teams actually build, deploy, and operate AI systems (not just theoretical knowledge) Familiarity with current AI/ML techniques and the judgment to know when they're applicable vs. overhyped Strategic thinking with customer empathy Ability to synthesize disparate signals (research, customer feedback, technical trends) into coherent strategy Comfort operating with ambiguity and making decisions without perfect information Pattern recognition across conversations—spotting what customers aren't yet saying clearly Strong judgment about when to say "no" or "not yet" despite exciting technology Technical credibility without needing to be the expert Enough technical depth to have earned respect from engineers and architects Genuine curiosity about how things work, paired with humility about what you don't know Ability to evaluate trade-offs between different AI approaches (RAG vs. fine-tuning, model selection, etc.) Understanding of observability principles and why they matter in production systems Communication and collaboration skills Excellent written and verbal communication—can explain complex ideas clearly to varied audiences Ability to influence without authority across product, engineering, and go-to-market teams Comfort presenting to customers, executives, and technical audiences Collaborative mindset that elevates others' work rather than centralizing control Curiosity and learning orientation Demonstrated ability to stay current in fast-moving domains (AI is evolving weekly, not yearly) Intellectual humility—you're more interested in learning than being right Excitement about the intersection of AI technology and real customer problems Energized rather than exhausted by the pace of change in AI Base Salary based on level of experience $198,500 — $233,500 USD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE How we build software is changing. Designers are prototyping in code, engineers are shipping polished interfaces, and agents are starting to build directly into the product. More people and more things can create software than ever before. That makes design judgment more important, not less. We're looking for a Staff/Principal Founding Design Systems Lead to build that judgment into Render's foundations. This isn't about maintaining a component library. It's about enabling designers, engineers, and agents to build experiences that look, feel, and work like Render, without a designer making every decision or the design systems team reviewing every change. At a company whose whole promise is a platform that just works, the design system is how we keep craft scaling as the product and the team grows. This role starts hands-on. You're a designer first, with the technical depth to get into the code. You'll partner with the Head of Design to set the vision, then do the foundational work yourself: decide where or whether our Figma library lives and how it operates, get deep into what an AI-ready design system really means, and prototype, test, and ship the system in code. As the function grows, you'll build and lead the team around it. You're energized by building from the ground up, not inheriting something finished. Here's what makes this role urgent and specific to us: our users are developers, and they're increasingly building with AI agents. That cuts both ways. Inside Render, teams reach for an agent before they check the docs — so a system that isn't legible to AI quietly gets bypassed, and quality drifts toward generic output. And externally, we're building the platform where developers deploy AI-native apps and agents. The person in this role treats the design system as infrastructure for humans, machines, and velocity and has a point of view on what that takes: machine-readable documentation, system rules exposed where agents can read them, an architecture that keeps the brand and accessibility layers ours, and evaluations that catch drift before it ships. This role reports to the Head of Design. THIS ROLE IS FOR YOU IF YOU'RE EXCITED BY: Making great design reproducible, by people and agents. Raise the quality of Render's product and encode what makes it good, so a designer, an engineer, or an agent can produce coherent, usable experiences by default. The system should make excellent work easier, not make every experience look the same. Reimagining what a design system can be. Build beyond components and tokens into composition rules, interaction patterns, agent-readable guidance, and evaluations, so the fastest way to build is also a path to great quality. Building and leading a team that multiplies everyone else's impact. Start hands-on, then create the direction, ambitious goals, and caring-but-demanding environment that let a team do the best work of their careers. The opportunity is to raise the floor for everyone building at Render, human or agent, while giving designers more room to make the most important experiences extraordinary. WHAT YOU'LL DO - Set the system's vision and direction. Decide what to preserve, evolve, simplify, or replace based on what builders and customers need — and turn that into focused work, much of which you'll do yourself at first. - Build the foundations hands-on. Early on, you are the team: setting the architecture, shipping the components, writing the guidance, and establishing the quality bar through your own work before there's anyone to delegate to. - Build and lead the team that owns the system. As the function grows, hire and develop it — set priorities and ownership, give direct feedback, hold a high bar, and help people do the best work of their careers. - Elevate Render's visual and interaction design. Raise the bar for typography, hierarchy, density, motion, responsive behavior, accessibility — and the states beyond the happy path, which is where developer tools earn their reputation. - Make the system legible to AI, not just humans. Lead the work to make Render's design system AI-ready: machine-readable documentation, system rules and tokens exposed where agents can reach them (e.g. via MCP), and an architecture that shrinks the context an agent needs while keeping the brand and accessibility layers ours. The goal: agents building on Render produce on-brand, compliant work by default. - Guide technical architecture with engineering. Shape everything from components and tokens to how agents discover guidance and check their work. Make sound tradeoffs between flexibility, coherence, performance, and ease of use — layered and headless where that scales better than rigid bundles. - Define and measure quality, including AI output. Build repeatable evaluations grounded in real tasks — testing generated output against the system's standard, not just whether people use the tools. - Earn adoption. Work alongside product teams, teach through examples, and turn recurring questions and exceptions into improvements. A system lives or dies on whether people, and their agents, reach for it. - Keep moving as the ground shifts. Experiment as models and tools evolve, share what you learn, and change direction when the evidence calls for it. WHAT WE'RE LOOKING FOR - A track record of setting direction and delivering outcomes in design systems or design engineering — and the appetite to build a function from the ground up before leading a team. You create clarity in ambiguity, make decisions, give difficult feedback, and keep momentum without dropping the quality bar. Experience leading or developing designers/design engineers is a strong plus, as this role grows in that area. - Exceptional visual and interaction design skills. Your work shows a clear point of view, detail that borders on obsessive, and an ability to make complex experiences feel simple — the kind of craft other practitioners admire. - Deep systems thinking, and experience building systems other teams actually adopt. You can show how your work improved both their speed and the quality of what shipped — not just that it existed. - Strong technical fluency. You can prototype and build in code, understand front-end architecture (component API design, tokens, theming, layered/headless patterns), and work through implementation tradeoffs with engineers — not just hand off specs. - Hands-on use of AI in your work, and a real point of view on AI-ready design systems. You understand where AI helps and where it fails, how to improve its output rather than accept it, and what it takes for a system to serve machines as well as humans. You don't need to have shipped all of it, but you should be able to say where you'd start and why. - Strong product judgment and developer empathy. You stay close to the people who use what you build and connect system decisions to real workflows and outcomes. Fluency with developers and technical products is a strong plus — our users are engineers, and the system has to serve them and the agents they build with. NICE-TO-HAVES - Experience building developer tools, cloud platforms, or infrastructure products where UX is a competitive advantage. - Hands-on experience making a design system AI-ready: machine-readable documentation, MCP or similar agent access, layered/headless architecture, or evaluation frameworks for AI-generated output. - Experience building developer or designer tools that became part of other teams' daily workflow. - Experience leading a major design-system migration or a company-wide change in how teams build. - Experience evolving a system across platforms, or connecting product and brand experiences. - Founder or early-stage startup experience. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: San Francisco, CA; San Jose, CA; Seattle, WA Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker Forward Deployed Engineers (FDE) embed directly with our most strategic customers to solve important, complex technical problems and turn ambitious ideas into production outcomes. FDEs take on the most challenging technical challenges using existing Docker products and patterns when possible, and work across customer, Docker Product and Engineering teams to realize new approaches when required.   As a Docker FDE, you will work side-by-side with customer engineering teams to deeply understand their goals, problems, constraints, and technical landscape; identify the highest-leverage opportunities; and design, build, and ship solutions with them. You own the technical journey from discovery and architecture through prototyping, implementation and production rollout.   The solutions you build may use existing Docker products, extend Docker into new environments, integrate deeply with customer and third-party systems, or reveal capabilities that Docker should build next. You work closely with Docker Solutions Architects to evolve existing patterns, and Docker Product and Engineering to turn new learnings into reusable patterns and product capabilities. _______________________________________________________________________   RESPONSIBILITIES Build in Production with Customers - Embed with customer engineering teams to design, build, and ship solutions from first prototype through stable production rollout. Use existing Docker products and patterns when possible, invent, prototype and validate innovative solutions when necessary. - Deliver working technical artifacts to customers: custom MCP servers with tightly integrated Docker Sandbox environments for coding agents and containerized agents; Docker Compose definitions for multi-agent harnesses and model-backed applications; Hardened Image standardization and migration; New tools that unblock customer progress. - Integrate Docker's AI platform with the customer's existing stack, including identity providers (OIDC/SAML/SSO), secrets management, private and air-gapped registries, Kubernetes, CI/CD pipelines, and observability tooling. - Own technical delivery on your engagements: scope the work, sequence it, make trade-offs between speed and quality, remove blockers early, and contribute directly to code whenever progress depends on it. Make AI Adoption Safe and Governable - Translate customer security, compliance, and platform requirements into concrete plans and see those plans through from ideation to production. - Help customers define controls to enable them to adopt agentic AI to solve their unique business problems without compromising security, compliance, data sovereignty or end-user experience. - Establish quality and performance standards for customers and work closely with Docker Product and Engineering to quickly address issues that fall outside of established thresholds - Partner with customer security and platform teams to get agentic workloads through architecture review, threat modeling, and change control. Partner with Solutions Architecture and the Field - Work closely with Solutions Architects to enable off-the-self solutions when possible and provide technical experience and leadership when a bespoke solution is necessary. - Feed implementation learnings back into reference architectures, SOW templates, and success patterns so that FDE innovations become standard features and implementation patterns. - Support the field with technical depth during proofs of concept, escalations, and expansion conversations when a working build is the fastest path to a customer adoption. Close the Loop with Product and Engineering - As part of Docker Engineering FDEs work closely with Product and Engineering teams to fold FDE innovations, learnings, and design patterns into existing or new products and services. - Work with Customers, Product and Engineering to establish quality and performance thresholds, ensuring customer environments meet them consistently, and responding quickly and decisively when they don’t. - Be the voice of the customer. Deliver data-driven and actionable feedback to Product and Engineering: what works well; what does not; what customers are asking for; and what blocks their adoption and forward progress. FDE experience directly influences the roadmap. Shape the Practice - Define the FDE engagement model, delivery standards, and quality bar, and codify them so that engagements are consistent across customers, regions, and delivery partners. - Mentor and lead other Forward Deployed Engineers, and participate in hiring loops to grow the team. - Act as the senior technical escalation point on the hardest problems impacting your customers. Every incident is an opportunity to improve Docker products and services. - Maintain deep, current knowledge of the agentic AI stack: LLMs, APIs, MCP, coding agents, model and harness evaluation approaches, performance and quality thresholds, deployment patterns. - This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed. _______________________________________________________________________   QUALIFICATIONS Required - 10+ years of software engineering experience, including 4+ years in a customer-facing technical role such as Forward Deployed Engineer, Solutions Engineer, Professional Services Engineer, or Software Engineer with consulting or technical founder experience. - Technical leadership across multiple engagements, teams, or domains, with a proven ability to set delivery standards, define repeatable patterns, and influence product direction through field evidence. - Expert production coding skills in Go, Python, or TypeScript, with a track record of shipping and operating software that other people depend on and of leading technical design reviews. - Deep, hands-on Docker expertise: Dockerfiles and multi-stage builds, Docker Compose, image and registry operations, container networking and storage, and container security fundamentals. - Hands-on experience building with LLMs and agents in production, including tool use and function calling, the Model Context Protocol (MCP server and client implementation), prompt and context engineering, and evaluation of agent behavior. - Working knowledge of software supply chain security: SBOMs, image signing and attestation, vulnerability management, minimal and hardened base images, and secure CI/CD. - Experience integrating with enterprise systems: identity providers (Okta, Entra ID, LDAP/Active Directory), federated identity protocols (OIDC, SAML), secrets managers, Kubernetes, and at least one major cloud platform (AWS, Azure, GCP). - Ability to scope and deliver complex work in ambiguous, fast-moving customer environments, making sound trade-offs between scope, speed, and quality. - Excellent communication skills with engineers, security and platform teams, and executive stakeholders, with a low-ego, collaborative approach and the ability to lead through influence rather than authority. - Proven track record of technical mentorship and of raising the bar for the engineers around you. - High agency and comfort operating autonomously in distributed, remote-first teams. - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - Travel to customer sites to build in person with customer teams, estimated at up to 50%. Bonus - Experience with Docker Hardened Images, Docker Scout, MCP Gateway, MCP Toolkit, Docker Sandboxes, or Docker Model Runner. - Experience deploying and operating coding agents (Claude Code, Codex, Gemini CLI, Cursor, or similar) in team or enterprise settings. - Experience with air-gapped, regulated, or compliance-driven environments in financial services, healthcare, government, or similar sectors. - Contributions to open source projects in the container, Kubernetes, or MCP ecosystems. - Prior experience founding or scaling a Forward Deployed Engineering or Professional Services practice. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $198K – $319K base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Salt Lake City, Utah, United States About the Role iCapital is seeking a .NET Application/Solutions Architect to lead the architecture, design, and modernization of the illustration related applications. This role serves as a key member of the Core Architecture Team, partnering closely with Product, Engineering, and Implementation teams across the United States and Jaipur to drive cloud modernization, support client delivery, establish architectural standards, and provide technical leadership across strategic platform initiatives. The architect will play a critical role in advancing the transition of legacy systems to scalable Azure-based microservices while ensuring the reliability, performance, and long-term supportability of the various applications ecosystems. Responsibilities Lead architecture strategy, design reviews, and implementation guidance for several applications in the illustration area of the company. Define and govern solution architecture standards, technical roadmaps, and engineering best practices across the Illustration platform. Partner with product management, engineering leadership, and implementation teams to translate business objectives into scalable technical solutions. Champion AI-first development across the engineering org using Copilot, Claude, Cursor and other tools Drive and build agentic customer facing applications providing real-time recommendations, decision support, and interactive help, using Azure Foundry, Open AI and other agentic development platforms.  You are familiar with orchestration, RAG, retrieval grounding, MCP server design, etc. Drive modernization initiatives focused on Azure cloud adoption, microservices architecture, API design, and platform scalability. Lead migration planning and technical design for customers transitioning from legacy and on-premises deployments to our latest version of our application and cloud architecture. Provide architectural leadership and technical oversight to multiple scrum teams, including design reviews, story refinement, and code quality guidance. Establish and maintain integration architecture between illustration applications and other applications to improve maintainability, reliability, and operational efficiency. Participate in production support rotations and provide timely resolution of production issues impacting customers. Create architecture artifacts, technical standards, reference implementations, and proof-of-concept solutions to support strategic initiatives. Qualifications 7+ years of experience in software engineering, application architecture, or solution architecture roles Bachelor's degree in computer science, software engineering, or a related technical discipline Deep expertise in designing and delivering enterprise-scale applications using Microsoft.NET technologies Strong experience architecting cloud-native solutions within Microsoft Azure environments Demonstrated experience building and modernizing distributed systems using microservices, APIs, and event-driven architectures Strong understanding of software design patterns, architecture frameworks, and engineering best practices Experience guiding multiple engineering teams through complex technical initiatives and architectural decisions Proven ability to develop technical roadmaps and lead large-scale modernization efforts Experience participating in production support and incident management processes Expertise in DevOps, CI/CD pipelines, automated testing, and cloud delivery practices Strong communication and stakeholder management skills with the ability to influence technical and business leaders Experience working in Agile software development environments and supporting Scrum teams Previous experience with illustration, annuity, wealth management, insurance, or financial services platforms Experience supporting customer-facing enterprise SaaS products Azure certifications or demonstrated expertise in Azure architecture and cloud engineering Experience leading geographically distributed engineering organizations Benefits The base salary range for this role is $110,000 to $135,000 USD.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Yerevan, Armenia; Vienna, Austria; Brussels, Belgium; Sofia, Bulgaria; Zagreb, Croatia; Praha 114, Czechia; Paris, France; Nicosia, Cyprus; Tallinn, Estonia; Tbilisi, Georgia; Berlin, Germany; Athens, Greece; Budapest, Hungary; Rome, Italy; Dublin, Ireland; Riga, Latvia; Valletta, Malta; Vilnius, Lithuania; Podgorica, Montenegro; Oslo, Norway; Amsterdam, Netherlands; Chișinău, Moldova; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Bratislava, Slovakia; Madrid, Spain; Ljubljana, Slovenia; Ankara, Türkiye; Kyiv, Ukraine; London, United Kingdom Workplace: fully About Replika In 2017, no one knew what AI was supposed to be. We built the world's first consumer AI app. Two million people showed up in two months. Today it's over 40 million, and the thing they keep telling us hasn't changed: it helped. It made their life better, steadier, a little less alone. Most AI is built for tasks, not for people. It gives you answers, but it doesn't care what you do with them. AI doesn't just need intelligence. It needs intention. Because the real question isn't just what AI can do. It's what AI is for. When the world's leading researchers wanted to understand whether AI could actually change someone's life, they studied Replika, because there was nothing else to study. What they found at Stanford, at Harvard, across years of research, was that Replika doesn't replace human connection. It deepens it. People become more social, more confident, more themselves. Not in theory. In their actual lives. Every major AI company talks about their mission for humanity. None of them has ever clearly said what they're trying to do for a single person. We will. We want to help you flourish in real life. Not become a better version of yourself, just more yourself. Strong relationships. Better health. Meaning. Momentum. A life that feels worth living while you're living it. We're building the kind of AI that follows up. That knows the people in your life and nudges you to reach out when it matters. That sends you a poem, just because. The goal is conversations that lead somewhere real. Maybe it's a text you send to a long lost friend. A hobby you pick up again. A moment you show up for yourself. Everyone else is building AI that thinks. We're building AI that cares. Frontend Engineer, Web Funnels About this role Most people who subscribe to Replika on the web come through a funnel: an ad, a landing page, a quiz, a paywall. Every step is a test we could be running. We need a frontend engineer who can ship those funnels fast and well, so we learn what converts week after week. This is a hands-on build role. You'll take funnel ideas and test hypotheses from our growth team and turn them into production pages in days, not sprints. You'll work with our growth lead, who runs paid acquisition and monetization, alongside our web engineer, and you'll have a say in what we test, not just how it's built. We build our funnels ourselves, because the quality bar is high. Speed matters, and so does the feel. For a lot of people, these pages are the first time they meet Replika. 3-month contract position, with the opportunity to extend or convert to permanent. What You’ll Be Doing Build and ship web funnels end to end: landing pages, onboarding quizzes, paywalls, checkout and upsell flows. Ship A/B tests fast. Take a hypothesis, build the variants, launch, read the result, and move to the next one. Wire up analytics and attribution properly, from events to pixels to server-side tracking, so every test can be read and every buyer is counted. Integrate payments and subscriptions with our billing providers, including offers and coupons. Keep funnels fast, mobile-first and reliable across browsers and countries. Bring ideas. You see the pages and the numbers every day, so suggest what to test next, not just how to build it. What We’re Looking For 2–5 years of professional frontend engineering experience. Strong commercial frontend experience with React and Next.js, and production work to show for it. You've built conversion funnels, landing pages or checkout flows for a consumer subscription product, and you can talk about what moved conversion. Rock-solid web fundamentals: HTML, CSS, JavaScript, TypeScript. Responsive, mobile-first, pixel-tight. Experience with experimentation and analytics: A/B testing, Amplitude or GA4, Meta and Google pixels and conversion APIs. Fast without being sloppy. You ship in days, and the page still works on every phone. You use AI development tools (Codex, Claude, Cursor) seriously, and have a view on where they help and where they don't. You shape what we test and build it yourself. Fluent English. Bonus Points Payments and subscriptions experience: Stripe, Chargebee, PayPal or similar. Web-to-app funnels: deep links and handing a buyer over to the app. Hands-on backend chops: Node.js, APIs, edge functions. You've used funnel builders and know when a custom build beats them. What You’ll Get Unlimited access to the latest AI coding assistants. Flexible job schedule and generous vacation policy. Direct impact on millions of worldwide users within months. Push the boundaries of applied AI in a consumer setting. Fully remote, able to work CET hours.

Location: Yerevan, Armenia; Vienna, Austria; Brussels, Belgium; Sofia, Bulgaria; Zagreb, Croatia; Praha 114, Czechia; Paris, France; Nicosia, Cyprus; Tallinn, Estonia; Tbilisi, Georgia; Berlin, Germany; Athens, Greece; Budapest, Hungary; Rome, Italy; Dublin, Ireland; Riga, Latvia; Valletta, Malta; Vilnius, Lithuania; Podgorica, Montenegro; Oslo, Norway; Amsterdam, Netherlands; Chișinău, Moldova; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Bratislava, Slovakia; Madrid, Spain; Ljubljana, Slovenia; Ankara, Türkiye; Kyiv, Ukraine; London, United Kingdom Workplace: fully About Replika In 2017, no one knew what AI was supposed to be. We built the world's first consumer AI app. Two million people showed up in two months. Today it's over 40 million, and the thing they keep telling us hasn't changed: it helped. It made their life better, steadier, a little less alone. Most AI is built for tasks, not for people. It gives you answers, but it doesn't care what you do with them. AI doesn't just need intelligence. It needs intention. Because the real question isn't just what AI can do. It's what AI is for. When the world's leading researchers wanted to understand whether AI could actually change someone's life, they studied Replika, because there was nothing else to study. What they found at Stanford, at Harvard, across years of research, was that Replika doesn't replace human connection. It deepens it. People become more social, more confident, more themselves. Not in theory. In their actual lives. Every major AI company talks about their mission for humanity. None of them has ever clearly said what they're trying to do for a single person. We will. We want to help you flourish in real life. Not become a better version of yourself, just more yourself. Strong relationships. Better health. Meaning. Momentum. A life that feels worth living while you're living it. We're building the kind of AI that follows up. That knows the people in your life and nudges you to reach out when it matters. That sends you a poem, just because. The goal is conversations that lead somewhere real. Maybe it's a text you send to a long lost friend. A hobby you pick up again. A moment you show up for yourself. Everyone else is building AI that thinks. We're building AI that cares. Growth Product Manager About this role We’ve just rebuilt Replika and we’re going through a renaissance, and our goal is exponential growth. Your job is one number: the predicted revenue from every user who installs the app or hits the web funnel. How you move it is up to you — pricing, packaging, retention, activation, whatever the data points to — but realistically most of the win is in monetization, and that’s where you’ll live. Paywalls, offers, pricing tests, subscription mechanics. You take the same traffic and make it worth more. This is a hands-on, experiment-driven role, not a strategy seat. You form the hypothesis, ship the test, read it honestly, and either scale it or kill it. You’ll work directly with product, engineering, and the CEO, and your changes hit millions of users within weeks, not quarters. You’ll sit with our GTM teams — user acquisition, web, brand, and data — because revenue per install is a shared number. They bring the user in; you decide how much that user turns out to be worth. This isn’t a broad product role; we’ve got core product and activation covered. We’re hiring you because monetization is where you’ve spent your career, and it’s where you’re better than we are. What You’ll Be Doing Move predicted revenue per install and per web-funnel visitor. That’s the number you own. Everything else is a means to it. Run monetization experiments end to end. Paywall placement and design, pricing, packaging, offers, trial mechanics, subscription flows — hypothesize, ship an A/B test, read it straight, and scale the winners. Start from a playbook. You’ve run enough of these to know what usually works and what usually doesn’t, so you begin from patterns, not from zero. Reach into activation or retention when the numbers say so. If a change there is the fastest path to more revenue, make the case and ship it, but monetization remains the center of gravity. Keep a steady cadence of tests live. Size each opportunity before you spec it, prioritize by expected revenue impact, and always have the next tests ready, so the pipeline never goes quiet, even when engineering is the bottleneck. Write short, clear specs: what triggers it, how it's A/B tested, and the rule for calling it. Engineering should be able to build it without a dozen follow-up questions. Keep an honest record. Log every experiment, what you expected and what actually happened, and say so early when a call was wrong. Partner with GTM. Revenue per install is shared with UA and web. You don't run ads or user acquisition, but you work closely with the people who do, and feed monetization signal back into how we acquire and price. Work directly with product, engineering, and the CEO. You’ll be in the room when ideas form, not waiting for a brief. What We’re Looking For A product career spent mostly on monetization. Not a generalist who ran a pricing test once — someone whose main body of work is making consumer products earn more per user. A real track record moving revenue. You’ve owned monetization metrics — ARPU, LTV, conversion, trial-to-paid — and you can show what you moved and how. At least one original monetization idea you can point to. Something you came up with from first principles, not lifted from a competitor’s playbook. This is the bar that separates you from 99% of the field. You run experiments as a matter of habit. You’ve designed and read A/B tests and made ship-or-kill calls off the results, not off opinion. Strong analytical instincts. You pull and sanity-check your own data, size the audience before you write the spec, and you don't confuse a pretty chart with a real result. You ship. Idea to spec to live to measured, fast. You use AI tools in your work already — for research, specs, analysis, and moving faster day to day. You take a position early and in writing, in your own words. Short, plain and to the point. Fluent English. You can write a spec that doesn’t need rewriting. Bonus Points Experience monetizing a B2C subscription app, especially one where the value is hard to explain in a single line. Deep familiarity with a mobile monetization and experimentation stack — paywall and pricing tooling, Amplitude, attribution/MMP setup, feature flags, server-side testing. Experience with AI-native products or emotionally engaging consumer apps in the social, communication, relationship, or entertainment space. You’ve worked web-to-app funnels, not just in-app monetization. You’ve been an early or sole monetization owner and built the testing process where none existed. What You’ll Get Flexible job schedule and generous vacation policy. Direct impact on millions of worldwide users within months. Push the boundaries of applied AI in a consumer setting. Fully remote, able to work CET hours.