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Location: Chicago, IL or Remote CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy , creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We’re pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey. Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com . The Role As an AI Engineer you will build and ship LLM-powered features and agentic workflows for our customers. These features automate the routine parts of a claim and guide customers on the rest, so they have to earn that trust with measured accuracy, not a convincing demo. Agents run as steps inside deterministic workflows, and privacy and security are design baselines, not review gates. Agentic coding tools are how you move fast. What you add is what they are worst at: system design, security, and hard debugging. You own features end to end. Salary range is: $170,000 - 195,000 This position is bonus eligible. Key Responsibilities: Ship LLM-powered features and agentic workflows in Python and TypeScript, from a problem scoped with product managers and data scientists through production traffic, and help set the metrics you will be measured against. Write the evals, guardrails, and feedback loops that make your features trustworthy, and hold them to explicit token and latency budgets. Use agentic coding tools every day, and own the review of what they produce: catch the correctness, security, and design problems in generated code before you open the pull request. Maintain and extend the NLP pipelines that turn unstructured claim data into structured data customers can act on, blending semantic search, classical NLP, and LLMs. Build and operate durable, event-driven services in which agents run as steps inside deterministic workflows, with checkpointed model outputs so a retry does not re-invoke a completed LLM step. Trace every model call and agent step so a recommendation can be reconstructed and audited, with citations back to the source documents, and wire that tracing into your alerts. Model and query claims data across relational, document, and graph stores. Design privacy and security in from the start: tenant isolation, least-privilege access for agents and their tools, and a clear rule for what data may reach a model provider. Write a technical design document before any significant change, and use it to get feedback and buy-in from the team before you build. Take part in a shared on-call rotation for the services you build. Requirements: 3+ years of professional software engineering experience, including at least one LLM-powered feature you shipped and then operated in production. Python and TypeScript: typed, tested, async code in both, and real depth in one. Evals you have designed for LLM output, plus guardrails you have shipped. A clear account of how you constrain an agentic coding tool's context and verify its output, from daily use of Claude Code, Cursor, GitHub Copilot, or similar on production work. Pipelines that blend LLMs with semantic search and classical NLP: structured output, tool calling, embedding-based retrieval, and a case where a classical technique beat an LLM. Services built on message- or event-driven architectures, including long-running workflows with retries, idempotent handlers, and event-sourced state, plus an LLM or agent step you ran inside one. Data modeling and development across relational, document, and graph databases such as PostgreSQL, MongoDB, and Neo4j, including when each type fits and the partition-key, consistency, and tenant-isolation calls you made. Backend services built and operated on Azure or AWS, and exposure to a durable workflow engine such as Temporal or the Durable Task Scheduler. Technical design documents you have written to get feedback and buy-in from a team before building, and that the team then built to. Clear writing and discussion for technical and non-technical audiences, and code review you can give as well as take. Even Better if You Have: React and TypeScript experience, so you can deliver a full-stack feature end to end. Chat, streaming, and citation-heavy AI experiences especially. Experience with CI/CD pipelines and infrastructure as code such as Terraform or Bicep. Experience with agent frameworks, LangGraph and the Microsoft Agent Framework among them, and with the ways agents reach their tools: the Model Context Protocol (MCP), the Agent2Agent (A2A) protocol, command-line tools, and microservices. Experience with LLM observability and evaluation tooling such as LangSmith, Arize, or Braintrust, and with OpenTelemetry-based tracing. Experience designing A/B tests for AI features, or what-if simulations that replay historical claims through a proposed change before it ships. Exposure to the insurance, claims, or automotive repair domains. What Success Looks Like: In your first six months you ship an LLM-powered feature, its evals run in CI, and you can name the metric it moved. When a model migration or prompt change causes a regression, the evals you wrote catch it before a customer does. You take ownership from concept to production with light direction, asking the right questions early. You care that things hold up: the services you build survive retries, partial failures, and model migrations without incidents a customer can see. When something goes wrong in production, the trace tells you which step and which model call, and you can show an auditor the same thing. Privacy and security reviews of your features find nothing that was not already designed in. You enjoy the craft, and it shows: engineers pick up your patterns without being told to. You enjoy the back-and-forth that gets a feature scoped, and you can argue a position without needing to win it. You embrace our ambitious, collaborative, and empathetic values, and you like problems where the answer has to be measured rather than argued. Interview Policy & Privacy Notice: A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available HERE . About CCC's Commitment to Employees: CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most. At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success. CCC offers competitive compensation and benefits to support you and your families, including: 401K Match Paid time off Annual Incentive Plan Performance Bonus Comprehensive health insurance Adoption Assistance Tuition Reimbursement Wellness Programs Stock Purchase Plan options Employee Resource Groups For more information about our benefits, please check out our careers site . Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture here

Location: United States Company Intro At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds, representing over 100 countries and speaking 40+ languages . We are a well-funded startup with an enviable portfolio of clients including Anthropic , Amazon , Microsoft , poolside , Recraft , and Shopify . Recently, we secured strategic investment led by Bezos Expeditions with participation from Mikhail Parakhin , CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world: USA , UK , the Netherlands , Serbia , and more. We are headquartered in Amsterdam. About position We're seeking a Freelance AI Data Project Manager who will join our Delivery team and will build, drive and maintain our client’s solutions. Joining us in this role means you will lead a virtual cross-functional team managing successful project implementation. This involves both client communication and internal coordination. The team consists of talented engineers of different kinds, supply managers and other departments on an ‘as needed’ basis. This is a key role for us to ensure we deliver the best possible experience for our clients and enable us to constantly grow our business. Example Projects SFT (supervised fine tuning) data generation pipeline producing thousands of prompts and completions weekly across several languages and domains of knowledge; Evaluation pipeline helping to estimate LLMs’ responses quality and reaching a throughput of hundred thousands weekly; A red-teaming project helping to collect malicious prompts of different kinds to ensure models’ safety. Key Responsibilities Take ultimate ownership for all delivery team projects, including data quality, delivery timelines, unit economics and overall transparency for stakeholders; Lead a cross-functional delivery team ensuring projects are on track, any issues and risks are highlighted and resolved proactively; Own operations of the delivery team: including internal and external communication, activities planning, posting summaries and status updates, conducting retros etc.; Drive and motivate the team, seek out change to increase the organization’s efficiency; Help roll out improvements to the delivery team focussing on increased adoption and providing feedback for further improvements. Qualifications Experience leading technical cross-functional teams ; Experience managing complex projects including discovery, decomposition, scope planning, implementation and adoption; Client facing experience ; Being generally agile, able to switch quickly to new domains and subjects; Consulting , Tech , Competitors background is a big plus; Good understanding of LLMs and their life cycle in particular; Experience in data generation ; Experience and proactiveness in suggesting process changes is appreciated; Proven experience in the AI space , including working with clients and managing teams or projects at scale. What we can offer Personal and career development: we support employee’s ambition for professional development and encourage them to implement their ideas in their projects; Flexibility: we offer remote or hybrid employment. You will also design with your manager a workday that works best for you; Paid parental leave and sick leave; Medical insurance fully covered for the employee; 25 vacation days per year [Important Notice] Scam Alert Regarding Fake Job Postings It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants.Please be aware: Official Communication: Our recruiting team will only contact you from an official " toloka.ai " email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc,  or other personal or seemingly business email accounts. Our Process: We will never ask for your bank account details, credit card number, or any fees as part of the application or interview process. Official Listings: All legitimate job openings are posted on our official careers page: https://toloka.ai/careers#job-list What to do: If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at security@toloka.ai and report the profile/post to LinkedIn.We are taking this matter very seriously and are working with the appropriate parties to resolve it. Thank you for your vigilance!

- Опыт системного анализа от 3 лет: сбор и формализация требований, ТЗ/SRS, User Story, Use Case, ФТ/НФТ.

Location: Gurugram, Haryana, India NEOLYTIX Associate – Automation (Fresher) Intelligent Automation · Entry-Level · Start Your Career in AI & Automation EXPERIENCE Fresher (0–1 Yr) QUALIFICATION B.Tech / BCA / MCA LOCATION Gurugram (Onsite, 5-Day) SHIFT 1:30–10:30 PM (Flexible) About the Role Neolytix is a US-headquartered healthcare technology and services company with delivery centres in Chicago, Gurugram, and Manila, supporting 270+ provider organizations. As we move from a services company to a technology-enabled one, our Intelligent Automation team is building AI-powered automations that make healthcare operations faster and more accurate — and we’re hiring recent B.Tech / BCA / MCA graduates as Associate – Automation to grow that team. This is an entry-level role built for someone ready to learn and build. You’ll be trained to design, build, and test automations — using visual (no-code / low-code) workflow tools, AI models, and light scripting — for real business and revenue-cycle processes, under the guidance of senior automation engineers. No prior work experience is required. We’re looking for solid programming fundamentals, a logical, pattern-spotting mind, and genuine curiosity about AI and automation. What You’ll Do Learn to design, build, and test automations using visual workflow / RPA tools and AI models, under senior guidance. Support the Intelligent Automation team in building and testing automations for business and RCM workflows. Write and maintain simple scripts (Python) for data handling, integrations, and automation tasks. Help map manual processes step by step and identify where automation can save time or reduce errors. Document workflows, test cases, and process steps clearly. Monitor running automations, log exceptions, and flag issues to senior team members. Use AI tools (e.g., ChatGPT, Claude, Copilot) to prototype, draft, and test solutions faster. What You’ll Learn With structured training and mentorship, you’ll build genuine, in-demand skills in: Visual workflow automation and RPA (no-code and low-code platforms). Applied AI — prompt design and using AI models for real business use cases. Python scripting for automation, data handling, and integrations. Process analysis — how to break a manual workflow into automatable steps. How US healthcare revenue-cycle operations work, as the processes you’ll help automate. What You Bring Must-Have B.Tech, BCA, or MCA (recent graduate) with a genuine interest in automation and AI. Solid programming fundamentals — comfortable with at least one language (Python preferred); understands logic, loops, functions, and basic data structures. A logical, analytical, pattern-spotting mind — you can look at a process and see where the repetition is. Comfortable working with data in Excel / spreadsheets. Good spoken and written English for documentation and teamwork. A fast learner who takes ownership and sweats the details. Preferred (a bonus, not required) Academic or personal projects in Python, scripting, automation, or AI (a GitHub or portfolio helps). Exposure to any automation / RPA or workflow tool (UiPath, Power Automate, n8n, Zapier, or similar). Basic SQL; hands-on use of AI tools (ChatGPT / Claude / Copilot); interest in healthcare or US business processes. Eligibility Criteria Education: B.Tech, BCA, or MCA is mandatory and must be completed — candidates currently pursuing a degree, with backlogs, or an incomplete graduation are not eligible. Communication: Good spoken and written English — clear enough to document workflows and work within a team. Work mode & shift: Onsite at Gurugram, 5 days a week. Shift: 1:30 PM – 10:30 PM IST, with some flexibility as required. Availability: Immediate joiners or candidates able to start soon are preferred. Selection Process Application review (resume; projects, a GitHub, or a portfolio help). Technical / aptitude assessment (logic and basic coding). Interview with the Automation team, followed by an HR discussion. Why Join Neolytix Start in a High-Growth Field Begin your career in AI and automation — one of the most in-demand skill sets today. Learn & Build Structured training and mentorship from senior automation engineers, from day one. Real Work, Real Impact Build automations that run in a live healthcare business — not throwaway training exercises. Clear Growth Path A path to grow into Automation Analyst / Intelligent Automation Analyst as you develop. Questions? Reach out to Lakshay at Neolytix Talent Management   |   This document is confidential and for internal use only

Location: GE; PL Workplace: remote Overview: SOFTSWISS continues to expand its team and is looking for a Senior Ruby on Rails Developer. We need a skilled, proactive and accomplished professional who shares our culture and values and is ready to contribute to the development of cutting-edge gaming solutions. About Product: SOFTSWISS Casino Platform Full-service modular software platform to manage online casino operations Learn More Purpose of the role: We’re looking for an engineer who treats AI as a force multiplier rather than a shortcut: someone who ships fast with modern tooling, but still owns the architecture, the edge cases and the production behaviour of everything they deliver. If you share our culture and values and want to build high-load gaming solutions used by millions of players, we’d love to talk. Key responsibilities: You’ll do design, build and evolve Ruby on Rails services that power our iGaming platform: high-throughput APIs, payment and wallet flows, real-time game integrations and back-office tooling. Work in an AI-augmented workflow: use coding assistants and agents (Cursor, Claude Code, GitHub Copilot or similar) for scaffolding, refactoring, test generation and code review and take full responsibility for the quality of what gets merged. Integrate LLM-based features into the product where they create real value: [fraud and risk signals, player-support automation, content generation, internal analytics copilots]. Own performance and reliability: profile hot paths, tune PostgreSQL queries, design caching and background-processing strategies, and drive incidents to root cause. Review code (human- and AI-written alike), mentor mid-level engineers and help set the team’s standards for how we use AI responsibly and effectively. Take part in architecture discussions, technical planning and cross-team initiatives. Required Experience: 4+ years of commercial Ruby on Rails experience; deep understanding of Ruby internals, Rails conventions and where to break them. Strong SQL and PostgreSQL skills: indexing, query planning, migrations on large tables without downtime. Solid grasp of distributed-system fundamentals: message queues, idempotency, eventual consistency, background jobs (Sidekiq or similar), caching (Redis). Hands-on experience with AI coding tools in day-to-day work, and a clear opinion on when they help and when they hurt. You can spot a plausible-looking hallucinated API in review. Ability to evaluate and verify AI-generated code: you write and read tests critically, understand what the code actually does, and never merge what you can’t explain. Experience designing and consuming REST and/or gRPC APIs; familiarity with OpenAPI. Confident with Git, CI/CD pipelines, Docker; comfortable reading Kubernetes manifests and logs. Experience with observability tooling (Prometheus/Grafana, Sentry, OpenTelemetry or similar). Upper-Intermediate or higher English and Russian level. Nice to have: Experience integrating LLM APIs (OpenAI, Anthropic, open-weight models) into production Ruby applications – prompt design, structured outputs, evaluation, cost and latency control. Familiarity with RAG pipelines, vector databases (pgvector, Qdrant) or agent frameworks. Understanding of security and data-privacy implications of AI features (PII handling, prompt injection, model output validation). Experience in fintech, payments or iGaming; knowledge of regulatory and responsible-gaming requirements. Contributions to open-source Ruby projects, talks or technical writing. Working knowledge of Go, Elixir or TypeScript for cross-service work. Our stack: Ruby 3.x, Rails 7/8, PostgreSQL, Redis, Sidekiq, Kafka [/RabbitMQ], Docker, Kubernetes, GitLab CI, Grafana, Sentry. AI tooling: [Cursor / Claude Code / Copilot] with team-wide guidelines on usage, review and security. LLM integrations via [provider APIs and self-hosted models] Main Advantages Private health insurance Sports benefits Comprehensive Mental Health Program Free English lessons (online) Local language courses Paid time off Maternity leave support Referral program rewards Upskilling, internal workshops, and participation in professional conferences and corporate events

Location: Ukraine Workplace: remote Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who We’re Looking For:We are looking for an experienced AI Tech Lead with a strong .NET engineering background and hands-on expertise in building production-grade AI solutions.In this role, you will lead the technical direction of an AI engineering team responsible for designing, developing, and operating intelligent capabilities within the Creatio platform.You will work on the AI agent platform that enables AI agents to safely perform real work within enterprise workflows — interacting with tools and APIs, accessing business data, maintaining context and memory, enforcing permissions, and collaborating with humans when needed.This is a hands-on technical leadership role that combines software architecture, advanced AI engineering, team mentorship, and active involvement in development.We are looking for someone who can make architectural decisions, solve complex engineering challenges, introduce modern AI development practices, and help the team deliver reliable, secure, and scalable AI-powered solutions.Responsibilities:Lead the development of architectural solutions, including AI-powered features, agentic workflows, RAG-based solutions, and LLM integrations.Drive continuous optimization of development processes; introduce modern tools, AI-assisted development practices, engineering standards, and quality improvements.Facilitate team ceremonies: backlog refinements, sprint planning, and sprint reviews (demos).Take an active part in backlog execution: pair programming, complex development, code reviews, and mentoring.Collaborate closely with stakeholders and product managers to define technical direction and translate business requirements into technical solutions.Guide the design and implementation of AI agent architectures, including tool calling, orchestration, context and memory management, permissions, and guardrails.Ensure high quality through automated testing, AI evaluations, observability, and continuous monitoring of production AI solutions.Monitor and guide incident response (4th-line support), ensuring SLA compliance and issue resolution.Actively contribute to knowledge sharing, team development, and continuous improvement.Requirements: Must have:6+ years of professional software engineering experience, with strong expertise in C# and .NET.3+ years of experience in a Tech Lead or Team Lead role, including architectural decision-making, technical ownership, and mentoring.Hands-on experience building and delivering LLM-powered applications to production.Strong understanding of AI agent architectures, including tool calling, orchestration, context management, and agent frameworks.Knowledge of prompt engineering, AI evaluations, observability, and AI security best practices.Proficiency with AI coding agents (Claude Code, Cursor, Codex, or similar tools) in daily development.Strong knowledge of software architecture, distributed systems, REST APIs, and backend engineering principles.Experience with relational databases, automated testing, CI/CD, and cloud-native development.English level: Upper-Intermediate or higher, with strong communication, leadership, and problem-solving skills.Nice to have:Experience with MCP, multi-agent systems, and advanced agent orchestration.Practical experience with RAG, embeddings, vector/hybrid search, and LLM integrations.Knowledge of LLMOps practices, including evaluation pipelines, monitoring, and cost optimization.Experience with AI platforms such as Anthropic API, Azure OpenAI, AWS Bedrock, or Google Vertex AI.Python experience for AI development, prototyping, or automation.Experience with Kubernetes, enterprise SaaS products, or low-code/no-code platforms.What to expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

— Разработка инструментов для AI-агентов и интеграция с корпоративными системами (1С, почта, файловые ресурсы);

-Разработка инструментов для агентов и интеграций с корпоративными системами (1С, почта, файловые ресурсы). -Обработка документов: договоры, счета, таблицы.

Задачи: — Разработка backend-сервисов на Python с использованием LLM и ML решений — Интеграция и автоматизация процессов с применением n8n и hermes ai — Работа с LLM: интеграция, prompt engineering, создание кастомных сценариев — Разработка и внедрение ML моделей — Интеграция внешних и внутренних API — Участие в разработке frontend-части на React и Django — Оптимизация и поддержка решений в продакшн Требования: — Уверенное владение Python и Git — Опыт интеграций и автоматизации с использованием n8n и HERMES AI — Знание API: REST/JSON, разработка и интеграция внешних сервисов, авторизация (OAuth, API keys) — Опыт работы с LLM: OpenAI, open-source модели, prompt engineering, PyTorch, TensorFlow, LQM — Навыки работы с React: компонентный подход, работа с API, верстка, управление состоянием приложения — Понимание RAG и основ машинного обучения — Опыт работы с Docker, CI/CD, MLOps, оптимизация inference, YOLO (Ultralytics), 1С

We're looking for a Marketing Design Team Lead who is equal parts creative leader, marketer, and AI geek, someone who knows how to achieve business goals through visuals that actually sell. Lead, mentor, and scale a team of 3 to 6 AI-driven Creative Designers - grow people, not just output;

As a Senior Salesforce Developer – Field Service at Omnidian, you will design, develop, and optimize Salesforce Field Service solutions that power our technician experience and field operations. Design, develop, and maintain scalable Salesforce Field Service solutions using native platform capabilities and custom development.

Location: Москва Команда инфраструктурного мониторинга отвечает за стабильность и производительность высоконагруженных систем. Мы переходим от реактивного подхода к проактивному: строим систему, которая предсказывает сбои до их возникновения. Наша цель — создать внутренний AI-слой, который автоматизирует рутину эксплуатации, анализирует петабайты логов и трассировок, а также помогает инженерам принимать решения на основе данных, а не интуиции. Обязанности ### Чем предстоит заниматься: * создавать и внедрять в продакшен модели временных рядов для прогнозирования нагрузки на инфраструктуру и предиктивного алертинга, чтобы выявлять аномалии за часы или дни до деградации сервиса * разрабатывать пайплайны автоматической классификации и группировки алертов и строить системы семантического поиска и суммаризации причин сбоев по неструктурированным данным с использованием внутренних LLM * проектировать архитектуру взаимодействия с внутренними LLM для автоматической категоризации инцидентов, генерации рекомендаций по устранению и нормализации данных мониторинга * выстраивать полный цикл работы с ML в production от версионирования данных и моделей (MLflow / DVC) до автоматизированного A/B-тестирования версий моделей, мониторинга деградации качества (data drift, concept drift) и автоматического переобучения * применять методы оптимизации инференса для обеспечения низкой задержки ответов AI-сервисов в контуре real-time мониторинга * участвовать в проектировании потоков данных (ClickHouse, Redis, Kafka) для обеспечения ML-моделей актуальными фичами в режиме, близком к реальному времени * работать в тесной связке с SRE, DevOps и разработчиками бэкенда для обеспечения отказоустойчивости AI-сервисов и развития CI/CD-процессов. Требования ### Мы ждем от тебя: * коммерческий опыт разработки на Python от 3-х лет, уверенное знание Python Core, GIL и принципов работы CPython * понимание классического машинного обучения от алгоритмов временных рядов (ARIMA, Prophet, LSTM, CatBoost для time-series) до задач классификации и кластеризации * опыт работы с СУБД в рамках написания сложных запросов, понимание партиционирования и движков таблиц (PostgreSQL, Oracle, Redis, ClickHouse) * опыт написания качественного, покрытого тестами кода (pytest, unittest, принципы TDD, проектирование тестируемой архитектуры) * опыт работы с Docker, понимание многослойных образов и оптимизации их размера, опыт работы с GitLab CI, Jenkins или GitHub Actions, написание пайплайнов для автоматической сборки, тестирования и доставки ML-сервисов * знание протоколов сетевого взаимодействия HTTP/1.1, HTTP/2, REST, gRPC, а также брокеров сообщений (Kafka, RabbitMQ) * практический опыт MLOps: контейнеризация моделей, настройка мониторинга дрейфа данных, пайпланы переобучения. Будет плюсом: * опыт работы с экосистемой Big Data: PySpark, Hadoop, Airflow (построение сложных DAG для подготовки фичей) * опыт работы с Kubernetes/Openshift: написание Helm-чартов, настройка ресурсов (CPU/Memory), работа с PodDisruptionBudgets и HorizontalPodAutoscaler. * понимание Observability-стека: Prometheus (архитектура, PromQL), Grafana, Loki, Tempo, OpenTelemetry * опыт работы в fintech, highload или data-intensive проектах, где цена ложного срабатывания или пропуска аномалии критически высока * опыт интеграции с LLM через API, prompt engineering, работа с векторными базами данных для RAG и семантического поиска * знание спецификаций взаимодействия с моделями или опыт разработки собственных AI-агентов для автоматизации рутинных задач эксплуатации. Условия ### **Мы предлагаем:** * офис рядом с м. Кожуховская * офисный формат работы на время адаптации * ежегодный пересмотр зарплаты и годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи * 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: Singapore Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU’LL DO - Design and deliver production-grade AI agents https://sierra.ai/blog/meet-the-ai-agent-engineer: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. - Drive the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. - Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups, embedding AI agents across their entire business stack to drive innovation and efficiency. - Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product. EXAMPLE PROJECTS These are some examples of projects that engineers on our team have worked on recently: - Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn - Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations - Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services! - Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development - Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers WHAT YOU'LL BRING - Experience building and scaling end-to-end production systems - Strong technical problem-solving skills, especially in fast-changing, ambiguous environments - A builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and ship - Comfort working directly with customers to understand their needs and solve real-world problems - Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences EVEN BETTER... - Experience building or deploying AI/LLM systems in production - Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed - Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering - Prior experience with React, TypeScript, and/or Go - Previous roles where you interfaced with customers or led technical projects with external stakeholders OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: Bangalore Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? Your mission: UiPath is redefining enterprise automation with AI. As a Senior Forward Deployed Engineer (FDE), you’ll work directly with customers to design and deploy agentic, AI-powered workflows that transform how businesses operate. This is a highly technical, customer-facing role for engineers who enjoy building in real-world environments. You’ll take ambiguous problems, turn them into production systems, and see your work deliver immediate, measurable impact. If you thrive at the intersection of AI engineering, systems design, and customer impact — this role is built for you. Why This Role: - Build real AI systems in production — not just prototypes. - Work directly with customers solving high-value, complex problems. - Operate at the frontier of agentic AI + enterprise automation. - Influence product direction through hands-on, real-world experience. - See your work drive millions in measurable business impact. WHAT YOU'LL DO AT UIPATH - Build and deploy LLM-powered applications and multi-agent workflows in production environments. - Design end-to-end solutions integrating APIs, enterprise systems, and data platforms. - Partner directly with customers to translate business problems into scalable AI and RPA solutions. - Own delivery from prototype → production → iteration. - Optimize systems for performance, cost, and reliability. - Extend platform functionality using APIs, SDKs, connectors, and custom integrations to meet customer-specific requirements. - Anticipate delivery risks, manage scope, and communicate blockers, tradeoffs, and timelines proactively with customers and internal stakeholders. - Lead high-impact technical workstreams within strategic customer engagements, aligning delivery to measurable business outcomes. - Contribute reusable patterns and influence product direction through real-world feedback. - Mentor engineers, raise technical standards, and help scale reusable implementation play books across customer engagements. - Partner with Product, Engineering, Sales, and Customer Success to translate field learnings into platform improvements. WHAT YOU'LL BRING TO THE TEAM - 5–8+ years of software engineering experience, including applied or customer-facing work. - Strong coding skills in Python and/or TypeScript. - Hands-on experience with LLMs, prompt engineering, and production AI systems. - Experience building and deploying complex, integrated systems. - Ability to operate in ambiguity and move quickly from idea to production. - Strong communication skills with both engineers and business stakeholders. - Customer-facing experience managing technical risks, timelines, tradeoffs, and stakeholder expectations. - Ability to mentor engineers and contribute to reusable assets, technical standards, and delivery best practices. - Travel: ~20–30% to customer sites. Strong Preference: - PhD or Master’s in Computer Science or a related field. - Experience with agent frameworks, orchestration systems, or distributed systems. - Familiarity with LLM providers such as OpenAI, Anthropic, Gemini, etc. - Background in applied AI, machine learning, or automation platforms (UiPath, RPA, workflow engines). - Experience in startup, consulting, or forward-deployed environments. - Experience with prompt management, LLM evaluation, agent observability, and production support practices. - Familiarity with enterprise security, governance, compliance, and operational readiness requirements. - Experience presenting technical recommendations to senior customer stakeholders or executives. - Experience contributing to reference architectures, reusable delivery patterns, or internal technical enablement. #LI-MR1 Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU'LL DO - As Sierra's first Physical Security Lead, you will build and own our global physical security program from the ground up, protecting our people, offices, events, and information as we grow across North America, Europe, and Asia. You'll partner closely with Workplace Technology, IT Engineering, Workplace, Security Engineering, People, and Legal, and set the strategy, standards, and operating model for the function as it scales. - Program strategy and standards: Assess risk across every Sierra site and set a global baseline for physical security, including policies, standards, and site-tier requirements, prioritized into a practical roadmap with a budget and clear metrics. - Access control and security systems: Own the strategy and governance for badge access, video, intrusion detection, and visitor management, in partnership with Workplace Technology, who operate our office access and network systems. Make sure access follows least privilege, is reviewed regularly, and is removed promptly when people leave. Make sure these systems are monitored and have backup power. - Office openings and build-outs: Define security requirements for new offices and build-outs as we open new sites, and partner with Workplace, landlords, architects, and integrators from design through commissioning. - Sensitive spaces, insider risk, and threat assessment: Secure executive areas, boardrooms, and conference rooms where confidential customer and company discussions happen, including technical surveillance countermeasures (TSCM) sweeps, recording-device policies, and controls for hosting visitors and guests. Build a workplace violence prevention and behavioral threat assessment program with People and Legal, and partner with Security Engineering and IT Engineering on insider risk so that physical and digital signals are reviewed together. - Policy, compliance, and customer trust: Own Sierra's Physical Security Policy and the physical controls behind our compliance programs. Represent physical security in customer security assessments and audits, and drive findings to closure. - Incident response and emergency preparedness: Own physical security incident response, investigations, and emergency plans for every office. Run drills and tabletop exercises, and set up monitoring and escalation through an in-house function or a GSOC partner. Issue safety advisories and coordinate with building security and local authorities when employees are at risk near our offices. - Events, executives, and travel: Plan security for all-hands meetings, customer events, and off-sites. Coordinate executive protection and travel risk management with trusted vendors, and own guard and security services contracts across our sites, including post orders, staffing, and performance. WHAT YOU'LL BRING - Experience: 8+ years in corporate physical security, global security, or security operations, including building or substantially scaling a program at a fast-growing technology company. Law enforcement, military, or government experience is valued alongside corporate experience. - Program building: A track record of standing up a physical security function at an early stage, including policies, vendors, budget, metrics, and team, with sound judgment about what to tackle first. - Security systems: Hands-on experience with modern, cloud-based access control, video, and visitor management platforms (for example Verkada, Brivo, Avigilon Alta, Genetec, or Envoy), and how they integrate with identity systems such as Okta. - Risk and threat assessment: Experience conducting site risk assessments, threat assessments, and investigations, and handling sensitive matters with discretion alongside People and Legal teams. - Incident leadership: Calm, decisive leadership during incidents and emergencies, including serving as incident lead and running after-action reviews. - Multi-site and international: Experience securing offices across multiple regions, including Europe and Asia, and managing guard, integrator, and executive protection vendors. - Partnership and communication: Able to build security programs that employees welcome rather than work around, and to explain risk clearly to executives, engineers, and building partners. - Work model: This role is based in our San Francisco office, with regular travel to our other offices. EVEN BETTER… - Professional certifications such as ASIS PSP or CPP. - Experience running TSCM programs or protecting sensitive R&D or AI research environments. - Experience with GSOC operations, mass notification, or travel risk management platforms. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

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 Locations: Austin, TX | Lisbon, Portugal | London, UK About the role The Snr Software Engineer, AI & Infrastructure Planning role helps Cloudflare build, deploy, and operate one of the world's largest distributed networks. You will build an auditable multi-agent system on Cloudflare’s platform to replace notebooks and email threads with agent-driven forecasts, supply plans, cost models, and workflow approvals into agent workflows that planners & executives rely on for decision analysis. Responsibilities Collaborate closely with capacity planning, networking, and data center engineering teams to encode technical domain expertise into structured specifications, formal data contracts, and agent functional capabilities. Architect, deploy, and maintain scalable production agents and durable workflows leveraging the Cloudflare Workers ecosystem, including Durable Objects, Workflows, D1, R2, Queues, Vectorize, Workers AI, and AI Gateway. Translate core infrastructure planning functions—such as forecasting, supply planning, cost modeling, narrative documentation, and executive approvals—into automated  LLM deployment or deterministic logic based agent workflows designed for critical decision-making analysis. Implement rigorous risk tiering, formal approval checkpoints, detailed audit logs, and execution lineage to ensure safe autonomous operations. Incorporate predictive statistical and machine learning models into agent systems, establishing robust BigQuery data pipelines, optimized access patterns, and continuous monitoring. Author comprehensive technical specifications and Requests for Comments (RFCs), perform peer design reviews, and establish architectural standards for AI agent deployment across the organization. Desirable Skills, Knowledge, and Experience Senior-level software engineering experience, with security conscious production systems you can point to (repos, releases, services you operated). Strong TypeScript, and comfort building on serverless or edge runtimes (Cloudflare Workers preferred). HTTP APIs, async, queues, performance. Experience with LLMs and agents: tool calling, structured output, multi-step or multi-agent orchestration, prompt and eval iteration. Experience with durable state and workflows (Durable Objects, Cloudflare Workflows, or equivalents such as Templets updraoral or Step Functions). Demonstrated experience in infrastructure planning: capacity planning, forecasting, networking, CDN, cloud or data center capacity, or adjacent work. We will teach you our specific systems. Solid data skills: SQL, a cloud data warehouse (BigQuery preferred), and working knowledge of forecasting and statistical modeling (backtesting, error metrics, knowing when a model is wrong). Clear written communication: specs, RFCs, and explanations that planners and executives can use. Bonus Points A data science or ML background (time series, optimization, predictive modeling) and Python for scientific computing. Experience with Hono, Zod, OpenAPI, and a modern frontend framework (Astro or React). Experience with peering, BGP, ASN and IX data, backbone or transit planning, or colo, power, and procurement planning. Experience with agent frameworks (LangGraph, Autogen, A2A) and knowing what to borrow and what to discard. CI/CD and infrastructure as code (GitLab CI, Terraform). Experience building LLM evaluation frameworks or human-review workflows. Bias for simple, scalable designs. Compensation Compensation may be adjusted depending on work location. For Portugal-based hires: Estimated annual salary of €66,000-€91,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave 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 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: Sydney , Australia 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 may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration. 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: Warsaw, PL We bring startups and disruptive tech companies to the local market, offering engineers the opportunity to work on innovative, high-impact products. Join us and become a member of their R&D team while we take care of employment, HR support, a benefits package, and an enjoyable work environment. Cycode is an Agentic Development Security Platform (ADSP) that secures AI-driven software development from prompt to runtime. ‍ As AI agents write more of the world’s code, Cycode gives teams control over what those agents generate, full context on where real risk sits across code, dependencies, pipelines, and production, and AI teammates that find and fix exploitable issues automatically, with engineers staying in control. ‍ 📌️️️️️️ Check this blog post to understand the product and get to know the team. As a Senior .NET Engineer, you will be involved in all stages of production from architecture, designing, coding, deploying and maintaining. ‍ We use .NET Core, C#, MongoDB, Kafka, Postgres, Kubernetes, Graph-DB, Arango DB, go (small service), Python (our CLI), CI/CD, Terraform, and Docker. ‍ This is a nice opportunity to immerse yourself in the world of cybersecurity and break new ground in source code security, the future of the industry. You’ll work alongside a dynamic team of experts on a mission to make an impact as well as an incredible network of legendary cybersecurity luminaries and leaders. End-to-end development Contribute to technological and architectural decisions Work collaboratively with professional developers, Designers, and Product Managers to deliver a high-quality product 4+ years of .NET Core/C# experience Experience with microservices development Deep understanding of microservices architecture and cloud-native development Experience with databases and message queue technologies Experience with Docker and Kubernetes English proficiency - B2 Experience in developing a security-related SAAS product Experience with continuous integration and deployment (CI/CD) B.Sc in Computer Science/Software Engineering or related field Familiarity with the GraphQL framework Familiarity with the Graph Databases At On The Spot, we’re creating a workplace people would want to stay in: supportive, well-organized, and fair in terms of conditions and benefits. ‍ We’ll share more about our benefit package during the interviews. In the meantime, you can always check our Glassdoor reviews .