Вакансии

Задачи: — Готовить данные (API, SQL, файлы) и собирать прототипы для AI-ассистента до передачи в продакшен. — Подготавливать контекст для RAG, тестировать поиск и сопоставление сущностей. — Формировать golden dataset и автоматизировать тестирование ассистента (массовый прогон сценариев). — Считать метрики качества (retrieval, hallucinations) и локализовывать причины ошибок. Требования: — 5+ лет опыта в Data Engineering / разработке аналитических решений. — Уверенный Python и SQL, опыт с API, ETL/ELT, DWH. — Понимание принципов LLM, RAG, retrieval, embeddings (опыт работы — жирный плюс, но если глубоко погружен в тему — welcome). — Умение быстро собирать PoC, исследовать источники и находить нестандартные решения. Условия: — Удалёнка из любого города РФ или офис по желанию. — Оформление по договору ИП. — Зарплата 350 000 – 400 000 ₽ Gross.

Location: Bangalore, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Engineering Manager, Production Engineering - Observability An overview of this role You'll lead the globally distributed Observability team. The team builds and operates the metrics, logging, alerting, and capacity planning platforms that GitLab engineers use to understand GitLab.com and GitLab Dedicated. You'll help determine how the team collects, stores, queries, and acts on telemetry, balancing reliable signals with scale and cost. In your first year, you'll guide improvements to Prometheus-based metrics pipelines, log ingestion and retention, alerting driven by service-level objectives (SLOs), and capacity forecasting. You'll work with Site Reliability Engineering, Product Engineering, and other Infrastructure Platforms teams to make it easier for engineers to observe the services they own. You'll also take part in incident response and help keep the team's on-call work sustainable. What you’ll do Lead, hire, onboard, and develop a distributed engineering team working asynchronously. Set priorities with Site Reliability Engineering, Product Engineering, and GitLab Dedicated teams, and help the team deliver observability services iteratively. Own the reliability, scalability, and cost of the team's metrics, logging, alerting, and capacity planning platforms. Reduce noisy or missing alerts and telemetry gaps, and use SLOs, error budgets, and self-service instrumentation to help engineers maintain the health of their services. Guide technical decisions about time-series storage, high-cardinality metrics, log pipelines, and distributed tracing. Participate in the Incident Manager On Call (IMOC) rotation, coordinating the response to high-severity incidents affecting GitLab.com . Keep the team's on-call rotation sustainable through coverage across time zones, useful runbooks, better alerts, and follow-through on post-incident actions. Use AI tools and agents to support engineering workflows and incident triage, reviewing their output while engineers retain responsibility for decisions. Take part in on-call or operational support where your team’s ownership model requires it. What you’ll bring Experience leading an observability, platform engineering, or site reliability engineering team operating at scale, including supporting people in a distributed, asynchronous environment. Technical knowledge of metrics systems such as Prometheus and long-term storage, logging platforms such as Elasticsearch or cloud-native services, and alerting design. Experience using SLOs, error budgets, and capacity forecasts to make reliability and investment decisions. Experience operating a large software-as-a-service platform and investigating production issues such as telemetry gaps, ingestion limits, or noisy and missing alerts. Experience participating in and improving production on-call rotations, including incident coordination and balancing operational load with project work. The ability to explain technical tradeoffs to engineering partners and other stakeholders. Experience using AI tools or agents in engineering or management work; you can describe how you would apply them to operational problems such as incident triage. We welcome different paths into this role, whether through practical experience, formal study, or transferable skills. If the work interests you, please apply even if you don't meet every qualification. About the team We're part of Production Engineering within Infrastructure Platforms and work asynchronously across regions. Our tools include Tamland, the capacity forecasting tool. We bring lessons from operating GitLab's production systems back into the platforms we build. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Требования: — B.E/B.Tech/M.E/M.Tech в области электроники — Опыт работы в области верификации не менее 1 года

About this role As the Senior Staff Machine Learning Platform Engineer, you will own the technical vision and evolution of Faire’s ML platform. You will set standards, influence org-wide architecture, and lead complex, cross-functional initiatives that unlock data science velocity at scale. This role will also be key to adapting ML workflows to take advantage of modern AI productivity tools. You won’t just build models, you will architect the systems that allow those models to help tens of thousands of small retailers compete and grow their local businesses. What You Will Do: — Define and drive the long-term architecture of Faire’s ML platform including training, inference, feature management, governance — Establish company-wide standards for code quality, testing, MLOps (CI/CD), experimentation, model lifecycle management, and observability — Lead adoption and advanced use of Unity Catalog, multi-workspace strategies, and data/ML mesh patterns — Architect highly scalable ML workflows using Spark, Delta Lake, and MLflow — Optimize performance, reliability, and cost of the ML platform — Evaluate and integrate emerging Databricks features — Stay ahead of the curve by engaging with the latest developments in machine learning and AI — Serve as senior ML technical advisor to Faire’s data science and production engineering teams — Represent Faire at ML conferences and meetups — Mentor ML engineers and raise the overall bar for Machine Learning at Faire What it takes: — 10-12 years of experience building and improving large-scale ML or data platforms — A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field — Deep expertise in Databricks lakehouse architecture, including governance via Unity catalog, orchestration via Workflows, and cost optimization — Proven ability to design systems that support multiple data science teams and production workloads — Strong background in distributed systems, ML infrastructure, and cloud architecture — Demonstrated technical leadership across teams and orgs; ability to influence without authority — Experience integrating LLM workflows into enterprise platforms is a plus — Previous contributions to open source ML Infrastructure projects or research publications is a very strong plus Tech Stack: Faire uses a modern cloud based tech stack. For this role, you’ll want to be proficient with the following: — Languages: Python, SQL, Kotlin — ML Frameworks: PyTorch, PySpark, MLFlow — Big Data & Processing: Spark, Kafka, Databricks, Snowflake, Fivetran, Iceberg, Unity Catalog, Datadog, Airflow, Cockroach DB, MySQL — Cloud & Infrastructure: AWS, S3, SageMaker, Kubernetes, Docker, GitHub Actions, Terraform — Generative AI: Claude Sonnet 4.5, ChatGPT 5.2 Conditions: Hybrid work format with office presence 3 days per week (Tuesdays, Thursdays, and a flex day) and flexibility to work remotely up to 4 weeks per year. Remote work possible for candidates located in Ontario, Canada. Salary Range: $248,000 to $341,000 per year, eligible for equity and benefits. Actual base pay depends on skills, experience, market demands, and location. Base pay range subject to change.

Задачи: — Разрабатывать и улучшать RAG-приложения: chunking, embeddings, retrieval и reranking. — Строить LLM-воркфлоу и агентов с использованием LangChain, LangGraph, LlamaIndex, CrewAI или аналогичных. — Разрабатывать переписывание запросов, классификацию намерений, маршрутизацию и структурированное извлечение. — Интегрировать LLM API/модели в производственные системы. — Работать с OpenAI, Gemini, Hugging Face и PyTorch. — Вносить вклад в SFT, LoRA, QLoRA, PEFT и оценку LLM. — Работать с OCR, PDF/DOCX, STT и памятью для диалогов. — Создавать API с Python / FastAPI и работать с Docker, Git, тестированием и CI/CD. — Мониторить и улучшать качество моделей, задержки и стоимость. — Брать ответственность за отдельные функции/компоненты под наставничеством старшего инженера. Требования: — 2–4 года опыта в NLP / ML / Information Retrieval / Applied AI. — Сильные навыки Python. — Практический опыт с LLM / RAG / AI-agent приложениями. — Понимание трансформеров, embeddings, prompting, retrieval, chunking и reranking. — Опыт с LangChain / LangGraph / LlamaIndex / CrewAI. — Опыт с Qdrant / Pinecone / Milvus / Weaviate / Elasticsearch. — Опыт с OpenAI / Gemini / Hugging Face и знание PyTorch. — Понимание оценки LLM и снижения галлюцинаций. — Навыки FastAPI, REST, Docker, Git. — Многоязычный NLP будет плюсом. — Профессиональный английский. Желательно: — Знания SFT / LoRA / QLoRA / PEFT. — Знания BM25 / RRF. — Опыт с RAGAS / DeepEval / LangSmith / Langfuse. — Опыт с OCR/STT. — Опыт с Graph RAG. — Опыт с vLLM/TGI/Triton. — Оптимизация под GPU. — Знание корейского языка. Условия: — Работа в Инчхоне, Южная Корея. — Полная занятость. — Формат работы: офис / гибрид. — Конкурентная зарплата, обсуждается индивидуально. — Возможна поддержка с визой и релокацией.

Задачи: — Владение AI-функциями от концепции до продакшена, интеграция LLM и кастомных моделей. — Работа с задачами реального времени в области live-стриминга: модерация контента, рекомендации и прочее. — Обучение и донастройка моделей на продакшен-данных с обеспечением производительности под реальной нагрузкой. — Оценка и выбор между созданием собственных моделей и покупкой готовых на основе данных. — Тесное сотрудничество с продакт-менеджерами и кросс-функциональными командами для разработки функций. Требования: — Опыт разработки ПО 5+ лет с практическим опытом работы с LLM. — Подтверждённый опыт обучения и деплоя моделей машинного обучения. — Сильные навыки Python и PyTorch, знание production-level сервинга. — Понимание принципов production engineering: мониторинг, отладка, оптимизация. — Английский на уровне Intermediate или выше. Плюсы: — Опыт работы с real-time видео/аудио инференсом, модерацией контента или рекомендательными системами. — Знакомство с ML инфраструктурой: Docker, Kubernetes, GCP. Условия: — Конкурентная зарплата, бонусы и опционы (все являются партнёрами). — Официальное трудоустройство на Кипре с поддержкой визы для сотрудника и супруга. — Комфортный офис в Лимассоле с питанием и перекусами. — Медицинская страховка: 100% для сотрудника, 75% для семьи. — Доступ к матчам и мероприятиям Aris Limassol F.C. — Возможности профессионального роста и командных активностей. Формат работы: onsite (офис в Лимассоле).

Location: Los Angeles, USA Riot’s Enterprise Technology organization ensures Rioters have what they need to unlock their full potential, from secure and compliant systems to efficient business platforms that keep the company running smoothly. Enterprise Systems improves how Enterprise operates so Rioters can focus on building magic for players instead of navigating broken processes and fragmented systems. As Senior Manager, Enterprise Engineering & Process Excellence , you will lead two horizontal capabilities that the rest of Enterprise Systems depends on: Enterprise Software Engineering, which designs, builds, and operates new technical capabilities for Enterprise, and Business Process Excellence, which assesses, redesigns, instruments, and continuously improves enterprise processes. The portfolio includes custom applications, the company directory and organizational data APIs, and integrations with business systems. You will manage a multidisciplinary team of software engineers and business systems analysts. This is not a traditional enterprise systems role. We are building a function that reimagines enterprise engineering and process excellence for an AI-enabled organization. We use process mining and telemetry to continuously improve how work gets done, integration and automation with AI to reduce manual effort, and purpose-built applications to create capabilities that differentiate Riot . You will connect what the business needs, how processes should work, and how technology can deliver improvements. You will partner closely with leaders across People Tech, Finance Tech, and Enterprise Data & AI, as well as business stakeholders in Enterprise functions. The role reports to the Director, Enterprise Systems. Responsibilities: Software Engineering Set the strategy and technical direction for enterprise software engineering, integration, and automation. Lead the design, development, and operation of reliable applications, APIs, integrations, and automations that support critical enterprise capabilities. Establish strong engineering practices across architecture, testing, CI/CD, observability, security, reliability, and production support. Develop the Integration & Automation Center of Excellence through reusable patterns, shared platforms, governance, and enablement across Enterprise Systems. Business Process Excellence Build and lead a modern process excellence practice that uses process mining, telemetry, and AI-enabled tools to identify, prioritize, and measure improvement opportunities. Lead the redesign of complex, cross-functional enterprise processes, translating business needs into clear requirements and scalable solutions. Establish practical standards for process ownership, governance, measurement, and continuous improvement. Partner with business and technology leaders to deliver measurable improvements in cycle time, quality, automation, and Rioter experience. People Leadership, Delivery & Partner Management Build and develop a multidisciplinary team of software engineers and business systems analysts, creating shared accountability from process discovery through production delivery. Manage priorities, delivery, and external partners across the portfolio, communicating outcomes, risks, and trade-offs clearly to business and technology leaders. Required Qualifications: Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Business Administration, or a related field, or equivalent practical experience delivering enterprise technology solutions. 12+ years of progressive experience across software engineering, enterprise platforms, process excellence, or technology-enabled transformation. 8+ years of experience managing software engineers, business systems analysts, or multidisciplinary technical teams. Experience owning the technical quality, architecture, and operational health of a portfolio of enterprise applications, APIs, and platforms, and designing new software capabilities that solve business and process problems. Strong understanding of modern software engineering practices, including code review, automated testing, CI/CD, observability, security, reliability, and production operations. Experience with cloud/data platforms such as AWS, GCP or Databricks; programming languages such as Go, or TypeScript; and modern application frameworks such as Next.js. Proven experience in business process assessment, redesign, modeling, governance, and continuous improvement. Experience using process data, telemetry, process mining, or operational analytics to identify opportunities and measure improvements. Experience managing complex, cross-functional projects or portfolios involving business, engineering, data, and operational stakeholders. Strong written and verbal communication skills, including the ability to explain technical and process concepts to business, technical, and executive audiences. Desired Qualifications: Experience applying AI or agentic AI tools to enterprise process problems: process discovery, requirements generation, intelligent automation, or AI-augmented decision-making. Experience with process excellence methodologies such as Lean or Six Sigma and process mining, intelligence, or modeling tools such as Celonis, ARIS, Signavio, or UiPath, to drive data-informed process improvement. Experience with enterprise integration and automation IPaaS platforms such as Workato, MuleSoft, Boomi, or similar technologies. PMP, PgMP, or equivalent project management certification, or demonstrated equivalent experience running a delivery function. Familiarity with major enterprise SaaS platforms, and their integration ecosystems. Experience building or scaling a Center of Excellence or Community of Practice around integration, automation, or process standards. For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: Remote - Canada 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: AI agents at Honeycomb investigate, reason, and act on real observability data. They live in Canvas: the agentic workspace where engineers go to understand their systems. The Agentic Intelligence team has shipped Canvas, the Honeycomb MCP server, and the Canvas Agent and Canvas Skills surfaces. What we're looking for today is someone who brings deep agent expertise and uses it to expand what the team can build: new agents, new surface area in Canvas, memory, spatial awareness, improved performance on our Bedrock loop. Honeycomb's data store is fast and accepts high cardinality data; that's what makes agents built on top of it different from anything built on a conventional observability backend. This role is about taking advantage of that building agents that can do things no other observability product can do because the underlying data makes it possible. Some of this work will start as a prototype. The expectation is that the code makes it through the full arc, from the rough first version through to something that holds up in production. What you'll do Design and deliver production-grade agents. Build agents that investigate, reason, and act on live observability data inside Canvas. These agents must be trustworthy to engineers in high pressure situations, including mid-incident. Take one from rough first version to something that holds up under production traffic. Own the agent work; support the whole product. Scope, build, ship, and maintain the agents including the evals that tell you whether they got better or are just different. This role is agent-focused and also includes some fullstack development. Build agents only Honeycomb can build. Use a data store that returns high-cardinality queries in seconds to reason over signal a conventional backend can't serve at this fidelity correlating across services, drilling into a single trace, comparing before and after a deploy. Extend the surface, and decide what's next. Ship new capability into Canvas, the MCP server, and Canvas Skills memory, spatial awareness, a faster Bedrock loop and make the case for what comes after with working code. Distinguish hype from signal in a field with plenty of both. Define what "good" means for agents here. Set the bar: measurable against real evals, maintainable, and honest about their limits. Example projects Multiple agents collaborating on one shared Canvas investigation each claiming a hypothesis, publishing findings, and narrowing the search space for the others so it resolves faster (blog). Auto-investigation the moment an SLO burn alert fires the agent forms hypotheses and prepares visualizations before a human looks, cutting mean-time-to-insight for on-call (o11ycon 2026). Skills that encode a team's domain expertise e.g. Kubernetes thresholds so agents and human colleagues can lean on them (o11ycon 2026). What you'll bring: AI and agent engineering experience. You've shipped LLM-based systems people relied on in production not demos, not fine-tuned models in a research context. You know where agent systems break and how to design around it. End-to-end ownership. On a small team there's no handoff queue. You can take something from rough prototype to production-grade without needing someone behind you to do the durable engineering. Current judgment, not just past experience. You have informed opinions about what's shifted in agent design in the last six to twelve months that would change how you'd build today. Agent architecture depth. You understand how a fast, high-cardinality data store changes what an agent can reason about, and how to design for that. Product judgment. You can look at what the agent layer does today and see what it should do next and make that case with a prototype, not a deck. Even better Observability or developer-tools background. Engineers are your users; you'll ramp faster with fluency in that world, and the work is better. Familiarity with eval frameworks, agent tooling, RAG, and prompt engineering. Base Salary based on level of experience $250,000 — $280,000 CAD 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.

Задачи: — Взять на себя ключевую часть сетевой и VPN-инфраструктуры проекта. Требования: — Senior-уровень в сетях: TCP/IP, UDP, DNS, TLS/HTTPS, маршрутизация, NAT; — серьёзный практический опыт с VPN, туннелированием и Xray; — опыт работы именно с крупными VPN-проектами; — глубокое понимание DPI, фильтрации трафика, блокировок и причин деградации соединений; — сильный Linux и сетевая диагностика; — опыт с dedicated-серверами, VPS/VDS, CDN, дата-центрами и хостинг-провайдерами; — плюсом будет практический опыт колокации собственного оборудования; — умение проектировать отказоустойчивую инфраструктуру, способную переживать сбои и изменения сетевых ограничений без постоянного ручного вмешательства; — способность быстро исследовать изменения в сетях, ставить эксперименты, находить причины проблем и внедрять решения; — постоянная погружённость в VPN-индустрию и понимание того, что в ней происходит прямо сейчас; — опыт работы в крупном VPN-сервисе и знание индустрии изнутри; — хорошее ориентирование в рынке хостингов и дата-центров, понимание особенностей разных провайдеров и умение строить масштабируемую и отказоустойчивую инфраструктуру для сотен тысяч пользователей; — VPN-инфраструктура и сети — основная профессиональная специализация. Условия: — полностью удалённо, full-time; — только основная работа — без параллельной работы и учёбы; — зарплата 350 000–1 000 000 ₽ на руки, итоговая сумма зависит от уровня, опыта и компетенций.

Location: Palo Alto, California, United States, San Francisco, California, United States Director of Engineering, Clinical AI & Care Delivery Location: San Francisco Bay Area | Hybrid, 2 days/week in our San Francisco or Palo Alto office About Midi Health: Midi Health is transforming healthcare for women in midlife, delivering expert, personalized care through a virtual-first platform built around the needs of women in perimenopause and menopause. Technology is central not only to the patient experience, but to how our clinicians deliver exceptional care at scale. We believe AI will fundamentally reshape care delivery — reducing administrative burden, improving clinical workflows, and giving providers better tools to focus their time where it matters most: with patients. The Role: We’re looking for a Director of Engineering, Clinical AI & Care Delivery to lead the engineering teams behind the systems and tools that power Midi’s clinicians, medical assistants, and care workflows. This is a true player-coach role at the intersection of AI, healthcare, and software engineering. You’ll lead and develop a high-performing engineering team while staying close to the technology — shaping architecture, reviewing code, experimenting with AI and agentic systems, and helping your team solve complex problems. You’ll also be a senior engineering partner to Product, Clinical, Operations, Data Science, and other leaders across Midi. We expect our engineering leaders to think beyond their immediate teams and help shape how technology and AI can transform care delivery as Midi scales. What You’ll Own: Lead the engineering roadmap and execution for Midi’s clinician-facing tools, care delivery systems, clinical workflows, and AI-powered automation. Identify opportunities to use AI and agentic systems to automate workflows, augment clinicians, and improve the efficiency and quality of care delivery. Build and lead high-performing engineering teams with a culture of ownership, accountability, speed, and high technical standards. Stay hands-on through architecture decisions, code reviews, prototyping, and AI-assisted development. Partner closely with Product, Clinical, Operations, and Data Science to translate complex care delivery problems into scalable technical solutions. Drive engineering quality, velocity, reliability, and operational health across your area. Hire, mentor, and develop engineers and engineering leaders as the organization grows. Collaborate with engineering leaders across Midi on architecture, technical strategy, and company-wide engineering priorities. Help define how Midi uses AI and modern development tools to fundamentally rethink how healthcare is delivered. What We’re Looking For: Deep software engineering foundation. You’ve spent meaningful time as a senior individual contributor building sophisticated applications and systems. Proven engineering leadership. You have 5+ years of engineering management experience and have led organizations of 10+ engineers. Player-coach mindset. You’re comfortable operating at the leadership level while remaining technically credible and close enough to the work to help your team make better decisions. Applied AI experience. You’ve recently used AI coding agents or AI/LLM technologies to build something meaningful and have a practical understanding of what these technologies can — and cannot — do. Strong systems thinking. You can take complex, multi-step human workflows and think creatively about how technology and AI can make them dramatically better. Executive-level communication and judgment. You can confidently partner with senior technical, clinical, and operational leaders and communicate complex tradeoffs clearly. Exceptional cross-functional instincts. You naturally build trust with stakeholders who may approach problems very differently from an engineer. First-principles thinking. You ask the right questions, communicate clearly, and align early rather than building in isolation. Strong ownership mindset. You close loops, take accountability for outcomes, and step into problems rather than waiting for someone else to solve them. Nice to Have: Experience with AI/ML engineering, LLM-powered products, agentic systems, or workflow automation. Experience building internal tools or software for complex operational users. Experience with Python, Django, React, and AWS. Experience in healthcare or another highly regulated environment. Familiarity with EHRs such as Athenahealth, clinical workflows, or HIPAA-regulated systems. Experience building AI products where accuracy, reliability, human oversight, and trust are critical. Why Midi: This is an opportunity to work at the frontier of AI and healthcare while solving very real problems for clinicians and patients today. You’ll help determine how Midi uses technology to scale exceptional care — from automating repetitive workflows to building entirely new ways for clinicians and AI to work together. If you’re excited about building exceptional engineering teams, staying close to the technology, and applying AI to some of healthcare’s hardest operational problems, we’d love to hear from you. At Midi Health, we are committed to pay transparency and equity. The estimated salary range for this role is $230,000-325,000 per year, based on factors such as experience and skills. In addition to base salary, employees are eligible for a wide range of benefits and equity in the company, We believe in fair and competitive compensation practices that align with our values of equity and inclusion. If you have any questions about how we determine pay, we’re happy to discuss further in the hiring process. #li-JA1 At this time, Midi is unable to provide visa sponsorship. All Candidates must be authorized to work in the United States without current or future sponsorship needs. Please note that all official communication from Midi Health will come from an @joinmidi.com email address. We will never ask for payment of any kind during the application or hiring process. If you receive any suspicious communication claiming to be from Midi Health, please report it immediately by emailing us at careers@joinmidi.com . Midi Health is an Equal Opportunity Employer. We are committed to pay equity and ensure that all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Our compensation philosophy is based on fair, objective criteria and the impact of the role, regardless of an applicant’s salary history. Please find our CCPA Privacy Notice for California Candidates here .

Задачи: — Взять на себя ключевую часть сетевой и VPN-инфраструктуры проекта. Требования: — Senior-уровень в сетях: TCP/IP, UDP, DNS, TLS/HTTPS, маршрутизация, NAT; — серьёзный практический опыт с VPN, туннелированием и Xray; — опыт работы именно с крупными VPN-проектами; — глубокое понимание DPI, фильтрации трафика, блокировок и причин деградации соединений; — сильный Linux и сетевая диагностика; — опыт с dedicated-серверами, VPS/VDS, CDN, дата-центрами и хостинг-провайдерами; — плюсом будет практический опыт колокации собственного оборудования; — умение проектировать отказоустойчивую инфраструктуру, способную переживать сбои и изменения сетевых ограничений без постоянного ручного вмешательства; — способность быстро исследовать изменения в сетях, ставить эксперименты, находить причины проблем и внедрять решения; — постоянная погружённость в VPN-индустрию и понимание того, что в ней происходит прямо сейчас; — опыт работы в крупном VPN-сервисе и знание индустрии изнутри; — хорошее ориентирование в рынке хостингов и дата-центров, понимание особенностей разных провайдеров; — VPN-инфраструктура и сети — основная профессиональная специализация. Условия: — зарплата 350 000–1 000 000 ₽ на руки, итоговая сумма зависит от уровня, опыта и компетенций; — формат работы полностью удалённый, full-time; — занятость только основная работа — без параллельной работы и учёбы. Для отклика нужно написать кратко о своём опыте: в каких VPN-проектах работали, их масштаб, зона ответственности, стек и наиболее сложные задачи.

Location: Hybrid - SF Bay Area Location: Hybrid- San Francisco OR Palo Alto Office, Tuesday/Thursday Job Type: Full-time W2 About Midi Health Midi Health is the largest virtual care clinic for women in midlife navigating perimenopause, menopause, and other hormonal transitions. We combine expert clinicians, evidence-based protocols, and a modern technology platform to deliver care that has historically been underserved by the healthcare system. We're a fast-growing, mission-driven company building the infrastructure and products that define this new category of care. How We Work Hybrid by design. Two days a week in-office (Tuesday and Thursday) in Palo Alto or San Francisco. We believe high-trust teams are built in person and scaled remotely. AI-native engineering. We expect every engineer to be fluent with modern AI coding tools (Claude Code, Cursor, Copilot, and similar) and to actively push the frontier of how we build software. Low-ego, high-curiosity. We approach disagreement with humility and technical rigor, not politics. We invest in each other's growth. Outcome-oriented. We move fast, own our work end-to-end, and balance speed with the durability that healthcare demands. The Difference You Will Make AI is reshaping how clinical care is delivered, and Midi is building the products at the frontier of that shift. You'll build AI-powered features and systems that genuinely change clinician and patient experience — from clinical workflow automation to patient-facing assistants to back-office intelligence — grounded in the realities of healthcare-grade safety and evaluation. What You Will Do Design, build, and ship LLM-powered features end-to-end: prompt design, retrieval, tool use, agents, evaluation, and production operations Build the evaluation harnesses and feedback loops that let us ship AI features responsibly Integrate AI capabilities deeply into patient, clinician, and operational workflows Partner with clinical, product, and safety stakeholders to define what "good" looks like Contribute to our internal AI-for-engineering practices and tooling Stay close to the research and ecosystem; bring the best of it back to the team About You 6+ years of software engineering experience, with meaningful recent time building production LLM / ML features Strong hands-on coding skills in Python; comfortable across the full stack when the feature demands it Seasoned at system design for AI systems: retrieval, orchestration, caching, evaluation, cost and latency tradeoffs Deep, hands-on command of modern AI coding tools — you're a strong follower of the frontier and apply new techniques quickly Good mentorship instincts; generous with what you learn Rigorous about evaluation and safety; allergic to vibes-only launches Strong communicator; comfortable explaining model behavior to non-technical stakeholders Low-ego, curious, humble Nice to Have Experience with healthcare, clinical NLP, or regulated AI deployments Experience building agentic systems or production RAG at scale Interview Process Recruiter Screen (30 min) Hiring Manager Screen (45 min) Live Technical Assessment (3 sessions: 150 min) On-Site Interview and Lunch (4 sessions: 150 min) While you are waiting for us to review your resume, here is some fun content to check out. Midi 2024 in Review Women Leaders Invest in Midi Patient Testimonials At Midi Health, we are committed to pay transparency and equity. The estimated salary range for this role is $170,000-$210,000 per year, based on factors such as experience and skills. In addition to base salary, employees are eligible for a wide range of benefits and equity in the company, We believe in fair and competitive compensation practices that align with our values of equity and inclusion. If you have any questions about how we determine pay, we’re happy to discuss further in the hiring process. #li-ps1 At this time, Midi is unable to provide visa sponsorship. All Candidates must be authorized to work in the United States without current or future sponsorship needs. Please note that all official communication from Midi Health will come from an @joinmidi.com email address. We will never ask for payment of any kind during the application or hiring process. If you receive any suspicious communication claiming to be from Midi Health, please report it immediately by emailing us at careers@joinmidi.com . Midi Health is an Equal Opportunity Employer. We are committed to pay equity and ensure that all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Our compensation philosophy is based on fair, objective criteria and the impact of the role, regardless of an applicant’s salary history. Please find our CCPA Privacy Notice for California Candidates here .

Location: Hybrid 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 Location: Toronto, Canada 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. 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. What you will do as a Customer Engineer 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—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle 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 entire customer journey. Key Responsibilities Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability 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: Provide oversight to technical onboarding and implementation, but not execute the implementation, 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), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices.  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. 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. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, 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: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. 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. Minimum Qualifications 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). Architectural Mindset: Ability to white-board, design, and articulate complex enterprise 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. 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 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. 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 Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, 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. Strongly Preferred Qualifications (The "Good-to-Haves") 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: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role will require travel up to 20–50% to attend customer meetings, conferences, industry events, and other in-person team meetings, within the assigned territory. For this reason, candidates must have reliable personal or local public transportation to complete all required travel. Required travel is reimbursable in accordance with the Company's Travel & Expense Policy, as it may be amended from time to time. 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.

Location: Hybrid - SF Bay Area Location: Hybrid- San Francisco OR Palo Alto Office, Tuesday/Thursday About Midi Health Midi Health is the largest virtual care clinic for women in midlife navigating perimenopause, menopause, and other hormonal transitions. We combine expert clinicians, evidence-based protocols, and a modern technology platform to deliver care that has historically been underserved by the healthcare system. We're a fast-growing, mission-driven company building the infrastructure and products that define this new category of care. How We Work Hybrid by design. Two days a week in-office (Tuesday and Thursday) in Palo Alto or San Francisco. We believe high-trust teams are built in person and scaled remotely. AI-native engineering. We expect every engineer to be fluent with modern AI coding tools (Claude Code, Cursor, Copilot, and similar) and to actively push the frontier of how we build software. Low-ego, high-curiosity. We approach disagreement with humility and technical rigor, not politics. We invest in each other's growth. Outcome-oriented. We move fast, own our work end-to-end, and balance speed with the durability that healthcare demands. The Difference You Will Make You'll set the direction for how Midi builds with AI — across clinical workflows, patient experience, and operational intelligence. You'll own the architecture of our AI systems, the evaluation practices that keep them safe, and the standards that let every engineer at Midi ship AI features confidently. This is the role for someone who wants to define what AI engineering looks like in a modern healthcare company. What You Will Do Lead technical strategy for AI/LLM systems across Midi's product surfaces Architect retrieval, orchestration, agentic, and evaluation systems that run reliably in production Set the standards for AI safety, evaluation, observability, and responsible rollout in a healthcare context Partner with clinical, product, and executive leadership to shape the AI roadmap Mentor senior and mid-level engineers into strong AI engineers; raise the AI literacy of the whole org Lead the frontier: evaluate new models, techniques, and tools, and bring the right ones into the team About You 10+ years of software engineering experience, with deep recent time leading production AI/LLM systems Seasoned hands-on coder; still writes production Python regularly Seasoned system designer for AI systems at scale — retrieval, agents, evaluation, latency, and cost Authority in AI engineering: teams and leaders defer to your judgment, and you can defend it rigorously Leader at the AI frontier: you set how the team uses AI tooling and how we build AI products Seasoned mentor; you've grown engineers into strong AI builders Strong communicator with product, clinical, and executive stakeholders; thoughtful about risk and safety tradeoffs Low-ego, curious, humble Nice to Have Healthcare, clinical NLP, or regulated AI deployment experience Track record of shipping agentic or large-scale RAG systems in production Interview Process Recruiter Screen (30 min) Hiring Manager Screen (45 min) Live Technical Assessment (3 sessions: 150 min) On-Site Interview and Lunch (4 sessions: 150 min) While you are waiting for us to review your resume, here is some fun content to check out. Midi 2024 in Review Women Leaders Invest in Midi Patient Testimonials At Midi Health, we are committed to pay transparency and equity. The estimated salary range for this role is $200,000-$250,000 per year, based on factors such as experience and skills. In addition to base salary, employees are eligible for a wide range of benefits and equity in the company, We believe in fair and competitive compensation practices that align with our values of equity and inclusion. If you have any questions about how we determine pay, we’re happy to discuss further in the hiring process. #li-ps1 At this time, Midi is unable to provide visa sponsorship. All Candidates must be authorized to work in the United States without current or future sponsorship needs. Please note that all official communication from Midi Health will come from an @joinmidi.com email address. We will never ask for payment of any kind during the application or hiring process. If you receive any suspicious communication claiming to be from Midi Health, please report it immediately by emailing us at careers@joinmidi.com . Midi Health is an Equal Opportunity Employer. We are committed to pay equity and ensure that all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Our compensation philosophy is based on fair, objective criteria and the impact of the role, regardless of an applicant’s salary history. Please find our CCPA Privacy Notice for California Candidates here .

Astana Hub — крупный международный технопарк IT-стартапов в Центральной Азии. Офис в Астане, Казахстан.

Cadence is looking to hire a Mixed-Signal Systems and Verification Engineer. The position is open to both experienced professionals and recent graduates. Candidates will be involved in tasks related to mixed-signal system design and verification processes. The role requires knowledge and skills in relevant engineering principles and verification methodologies. Applicants should be prepared to work on complex system-level challenges and contribute to the development and validation of mixed-signal technologies.

Требования: — Степень бакалавра в области электротехники, электротехнической и компьютерной инженерии, компьютерной инженерии или смежной области.

Задачи: — Design, build, and maintain data infrastructure and pipelines spanning both batch and real-time / streaming workloads, contributing to architectural decisions along the way — Build and maintain scalable, efficient, and reliable ETL/ELT pipelines using languages and frameworks such as Python, SQL, Spark, Flink, Beam, or equivalents — Work on real-time or near-real-time data solutions (e.g. CDC, streaming, micro-batch) for use cases that require timely data — Partner with data scientists, ML engineers, analysts, and product teams to understand data requirements, define SLAs, and deliver coherent data products that others can self-serve — Establish data quality, validation, observability, and monitoring frameworks (data auditing, alerting, anomaly detection, data lineage) — Investigate and resolve complex production issues: root cause analysis, performance bottlenecks, data integrity, fault tolerance — Document data flows, data dictionaries, architecture patterns, and operational runbooks Требования: — 5+ years of experience in data engineering (or similar) roles — Strong experience in ETL/ELT pipeline design, implementation, and optimization — Deep expertise in Python and SQL writing production-quality, maintainable, testable code — Experience with large-scale data warehouses (e.g. Databricks, BigQuery, Snowflake) — Solid grounding in software engineering fundamentals, data structures, and systems thinking — Hands-on experience in data modeling (dimensional modeling, normalization, schema design) — Experience building systems with real-time or streaming data (e.g. Kafka, Kinesis, Flink, Spark Streaming), and familiarity with CDC frameworks — Experience with orchestration / workflow frameworks (e.g. Airflow) — Familiarity with data governance, lineage, metadata, cataloging, and data quality practices