Location: Remote-Texas; Remote-Florida; Remote-North Carolina; Remote-Arizona; Remote-Georgia
Workplace: Remote
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
This is a customer-facing presales role on UiPath's Healthcare Go-to-Market team. You'll partner with Account Executives and sales leadership to win strategic deals with the largest health systems in the U.S. You'll lead executive discovery, shape the solution strategy, and build the technical and business case for Agentic Automation.
At UiPath, we believe the future of healthcare lies in the convergence of AI, automation, agents, people, and enterprise systems. You'll be the person health-system CIOs, CTOs, and Chief AI Officers trust to show them how that convergence becomes measurable value, and why UiPath is the right partner to deliver it.
This role is for someone who has sold enterprise technology into healthcare as a presales leader, solutions architect, or field CTO, and who is fluent in today's AI and agentic landscape.
WHAT YOU'LL BRING TO THE TEAM
Win strategic deals
- Partner with Account Executives and Regional Sales Directors on strategic healthcare pursuits, and own the technical and business win strategy.
- Lead executive discovery sessions and value workshops with CIOs, CTOs, CDOs, Chief AI Officers, enterprise architects, and operational leaders.
- Build business cases and ROI models that tie Agentic Automation to operational, financial, and patient outcomes.
- Design solution architectures and AI/automation roadmaps, and guide the demos, proofs of concept, and pilots that move deals to close.
- Lead strategic RFP and RFI responses for healthcare opportunities.
- Help build pipeline and speed up deals across a portfolio of named health-system accounts.
Position UiPath in a crowded AI market
- Show where UiPath fits alongside hyperscaler AI services, EHR-native AI, workflow platforms, and healthcare AI point solutions, and where it wins against them.
- Articulate the differentiated value of Agentic Automation, and identify where UiPath can drive the greatest impact in each account.
- Advise customers on AI governance, operating models, and platform strategy as part of the buying decision.
Be the healthcare voice inside and outside UiPath
- Represent UiPath as a healthcare thought leader through executive briefings, industry conferences, and customer events.
- Bring field insight back to Product, Technology Alliances, and Industry teams so our solutions match what health systems need.
- Share competitive intelligence, winning plays, and healthcare trends across the GTM organization.
WHAT YOU'LL BRING TO THE TEAM
Must have
- 8+ years in a customer-facing presales role (solutions engineering, solution consulting, solutions architecture, or field CTO) at an enterprise software, SaaS, cloud, or AI company.
- Significant experience selling to U.S. health systems, integrated delivery networks, or academic medical centers.
- A track record of supporting and winning complex, multi-stakeholder enterprise deals, typically $1M+ in ACV, through long sales cycles.
- Hands-on fluency in GenAI and LLMs, AI agents, retrieval-augmented generation, and automation or orchestration platforms, enough to be credible with a Chief AI Officer and to guide a technical POC.
- Working knowledge of provider operations and systems, such as Epic or Oracle Health, revenue cycle, patient access, and clinical operations workflows.
- Exceptional executive presence and storytelling, with the ability to translate complex technology into clear business outcomes.
Nice to have
- Experience in a field CTO, industry principal, or healthcare industry-lead role at a technology vendor.
- Earlier experience at a health system, in healthcare IT leadership, or in healthcare consulting, combined with later vendor-side presales experience.
- A public presence in healthcare AI, such as conference speaking, published thought leadership, or industry advisory roles.
Logistics
- Up to 25% travel.
- Candidates must be authorized to work in the United States.
#LI-KS6
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.
-Сбор данных из внутренних сервисов, LLM Gateway, GitLab, Jira, логов AI-агентов и других источников. -Проектирование и наполнение баз данных и аналитических витрин для оценки использования CodeGen-платформы.
УдалённоГеография найма не уточнена
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
-Проектировать архитектуру AI/ML-решений полного цикла: от анализа бизнес-требований и выбора подхода до промышленной эксплуатации. -Декомпозировать бизнес-задачи заказчика в AI-кейсы, определять архитектурные компоненты, технологические зависимости и метрики эффективности.
Location: Cardiff, London or Remote (UK)
🚀 We’re on a mission to make money work for everyone.
We’re waving goodbye to the complicated and confusing ways of traditional banking.
After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as
personal
and
business
bank accounts, we offer
joint accounts
,
accounts for 16-17 year olds
, a
free kids account
and
credit cards
in the UK, with more exciting things to come beyond. Our UK customers can also
save
,
invest
and
combine their pensions
with us.
With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers!
We’re not about selling products - we want to solve problems and change lives through Monzo ❤️
📍London/Cardiff/UK Remote | 💰£76,500 - £95,000 +
Benefits
✨| ℹ️ This is a 12 month Fixed-Term contract
Our Information Security team ⭐
At Monzo, we’re on a mission to make money work for everyone. Keeping our bank safe and secure is a big part of making that happen.
Our Information Security Squad builds security processes that help us move at pace while protecting our customers. We work in partnership with teams across Monzo, including Product and Engineering, to help them create products our customers love.
In this role, you’ll lead security projects, help teams understand and manage risk, and support the development of our Security Analysts.
🔑 You’ll play a key role by...
Leading projects across our security programme, which has previously included third-party security, governance and vulnerability management.
Representing Security in projects across Monzo, including product launches, and helping teams identify and manage security risks.
Writing security policies and procedures with teams across Security and the wider bank.
Mentoring and developing our Security Analysts.
Keeping up with emerging security threats, technology and risks, and helping us prepare for what’s next.
Working with our internal audit and risk teams to make sure security controls are implemented and regularly assessed for effectiveness.
🤩 We’d love to hear from you if…
You’re excited about making a difference to how we deliver information security at Monzo.
You’ve managed projects across a range of security domains and are comfortable leading several pieces of work at once.
You’re working towards a recognised security qualification, such as CISSP.
You communicate clearly in writing and conversation, and can explain complex topics to different audiences.
You work confidently and independently, including when engaging senior stakeholders, and enjoy working in a fast-paced environment.
You enjoy using data to measure and improve your work, can interpret technical requirements, regulations and procedures, and are open to new approaches and technologies, including GenAI.
Not ticking every box? That’s totally okay! Studies show that women and people of colour might hesitate to apply unless they meet every single requirement. At Monzo, we’re dedicated to creating a diverse and welcoming team. If you’re passionate about this role and keen to learn and grow with us, we encourage you to apply—even if you don’t have everything that's listed just yet. Drop us your application, we’d love to hear from you!
🙌 What’s in it for you
💰 £76,500 - £95,000
ℹ️This is a 12 month Fixed-Term contract
📍 This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London)
⏰ We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team.
📚 £1,000 learning budget each year to use on books, training courses and conferences.
🏡 We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup.
➕ Plus lots more!
Read our full list of benefits
.
🌈 The application journey has 3 key steps
20 min call with the recruiter
30 min hiring manager call
2 hours of technical and behavioural interviews
This process should take around 4-5 weeks - your schedule is really important to us, so we promise to be as flexible as possible!
We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo.
You can read them here.
We’ll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don’t miss out.
#LI-REMOTE #LI-OS1
Equal opportunities for everyone
Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our
blog
, 2026
Diversity and Inclusion Report
and 2025
Gender Pay Gap Report.
We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.
If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊
Location: Москва
SberTech — одна из крупнейших IT-компаний в России. Наш основной заказчик — Сбер, но мы стремимся создавать высоконадежные (99.99) продукты, востребованные на рынке в разных сферах бизнеса.
Мы развиваем _Platform V Synapse_ — интеграционную платформу Сбера. Это облачное решение для интеграции и миграции сервисов, обрабатывающее миллионы запросов. Наши продукты являются базовым технологическим слоем для внедрения agentic ai в части всех взаимодействий агентов и служат enabler’ми для AI-трансформации бизнеса.
Мы — команда, сочетающая опыт и глубокие знания с активной позицией. Работаем по Agile, используем собственный производственный конвейер. Автоматизированное тестирование и CI/CD — основа нашего процесса разработки. Мы способствуем развитию экосистемы Сбербанка, создавая важные интеграционные элементы. Но не ограничиваемся им – наши продукты широко известны на рынке Российского ПО.
Обязанности
* проектирование и развитие архитектуры GenAI-решений от прототипа до production, выбор паттернов (prompt-based, RAG, агенты, fine-tuning)
* построение LLM-пайплайнов: RAG (chunking, embeddings, reranking), управление контекстом, tool use / function calling
* внедрение LLMOps-практик: observability, трассировка, guardrails, тестирование качества
* участие в проектировании архитектуры и разработке микросервисов и базовых компонентов платформы (backend, микросервисы, cloudnative)
* руководство командой сотрудников, управлением процессом производства ПО: декомпозиция, delivery, code и architecture review, инженерные стандарты, управление качеством
* работа с продуктом: анализ потребностей пользователей, полный цикл работы с продуктовыми гипотезами с ИИ-составляющей.
Требования
* опыт коммерческой разработки от 5 лет: backend, микросервисы, K8s, желательно Golang
* опыт управления командой разработки от 2 лет
* опыт в AI/ML и GenAI с кейсами вывода решений в ПРОМ
* опыт применения паттернов проектирования и принципов построения высоконагруженной микросервисной архитектуры
* опыт реализации AI-агентов (LangChain / LangGraph / ReAct / MCP / A2A)
* применение практик работы с LLM: ограничения, галлюцинации, context window management.
### Будет плюсом опыт:
* проектирования мульти-агентных систем и сложной оркестрации
* работы с временными рядами, аномалиями, прогнозированием
* работы с Istio Service Mesh, разработки Kubernetes-операторов и сетевых решений
* внедрения AI-практик и решений в платформенные инструменты, инфраструктурные решения и PaaS-сервисы.
Условия
* гибридный формат работы
* годовой бонус и ежегодный пересмотр зарплаты
* статус аккредитованной ИТ-компании
* расширенный ДМС с первого дня и льготное страхование для семьи
* корпоративный университет Сбера, внутренняя образовательная платформа, участие в IT-конференциях
* 90 дней удаленной работы из любого региона РФ
* льготная ипотека в Сбере, подписка Прайм с возможностью совместного использования на трёх близких.
Location: Москва
Мы помогаем государству проводить disrupt госуправления через внедрение AI/GenAI и ускорять национальное развитие AI/GenAI, организуем одно из крупнейших в мире профильных мероприятий – AIJourney, объединяем бизнес, государство и международное научное сообщество, чтобы обеспечить GenAI-трансформацию страны.
Обязанности
• проектирование и разработка бэкенда AI-сервисов: API, очереди, хранение данных, стриминг ответов
• интеграция LLM-компонентов в продукт: сервисы инференса, поиск по документам, агентные сценарии с вызовом внешних систем
• развёртывание в закрытом контуре без доступа в интернет: офлайн-сборки, зеркала пакетов и образов, установка на отечественные ОС
• CI/CD, мониторинг, логирование, аудит действий пользователей
• авторизация и интеграция с корпоративной инфраструктурой заказчика (LDAP/AD, SSO)
• сборка демонстрационного интерфейса продукта
• прохождение требований информационной безопасности вместе с тимлидом.
Требования
• От 5 лет коммерческой разработки на Python, бэкенд
• FastAPI или аналоги, асинхронность, PostgreSQL, Redis, очереди задач
• Docker и Docker Compose уверенно; Kubernetes на рабочем уровне
• Linux-администрирование, nginx, сети, работа с GPU-серверами на базовом уровне (драйверы, CUDA, контейнеры с GPU)
• Опыт настройки CI/CD и мониторинга (Prometheus, Grafana или аналоги)
• Опыт развёртывания продукта на инфраструктуре заказчика, а не только в облаке
• Активное использование AI-ассистентов в разработке.
**Будет плюсом:**
• опыт с LLM-приложениями: RAG, агенты, работа с vLLM или похожими серверами инференса
• фронтенд на React/Next.js или готовность собирать интерфейсы с AI-ассистентами
• Keycloak, Ansible, развёртывание в изолированных средах
• Astra Linux, РЕД ОС, опыт работы с госзаказчиком или крупным enterprise
• знание требований 152-ФЗ и ФСТЭК на практике.
Условия
* гибридный формат работы
* ежегодный пересмотр зарплаты и годовая премия
* более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
* расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа
* подписка Прайм с возможностью совместного использования на трёх близких
* вознаграждение за рекомендацию друзей в команду Сбера.
seniorМосква; Опыт развёртывания продукта на инфраструктуре заказчика, а не только в облаке
Location: Ukraine; Poland; Spain; Portugal; Romania; Czechia
At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.
We are looking for a
Middle ML & AI Engineer
to join us as part of our team.
About the role
PitchBook’s Machine Learning Engineer is responsible for using machine learning, statistical modeling, and natural language processing (NLP) to collect a high volume of data for the PitchBook Platform and surface insights for the capital markets. This role will also serve as a resource and mentor for junior members of the team. A strong motivation to succeed is critical, and everyone has the opportunity to shape the long-term direction of our team.
About the project
PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials, and many more.
Team:
Engineering Manager, 6 MLE’s.
Work Environment:
The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology.
Technical Stack:
Python, PyTorch, Scikit-Learn, Spacy, LangChain, LangGraph etc.
As a qualified expert, You will
Work with GenAI & LLMs:
Design, develop, and fine-tune generative AI models using transformer architectures. Implement advanced techniques to create practical solutions for real-world challenges.
Use Modern Toolkits:
Leverage frameworks like LangChain, LangGraph, and LangSmith to build automated pipelines and intelligent agents. Integrate these tools with vector databases for efficient similarity search and real-time analysis.
Extract Data Insights:
Process and analyze large volumes of unstructured data using embeddings and statistical modeling to identify meaningful insights.
Build Scalable Systems:
Collaborate with cross-functional teams to create production-grade ML systems that handle real-time, high-volume data processing.
Collaborate & Communicate:
Work with Product and Engineering teams to improve data management and support innovation. Present complex analyses clearly and effectively.
Tech Stack & Focus Areas:
Work with generative AI and transformer models, integrating frameworks like LangChain, LangGraph, and LangSmith to automate workflows and build intelligent systems. Use PyTorch, Scikit-Learn, and Spacy to build NLP pipelines. Implement vector databases for high-dimensional data embeddings and develop hybrid models to extract insights from diverse data sources.
We’re looking for you if you have
Educational Background:
You hold a Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field.
Experience:
You bring 4+ years of production experience in the ML field, with a track record in developing transformer-based models and deploying them in scalable systems.
Technical Expertise:
Proficient in Python and machine and deep learning frameworks like TensorFlow, PyTorch, ScikitLearn, Spacy, or others; experienced in natural language processing and modern LLM-based techniques; experience with full ML lifecycle, data preprocessing, training, evaluation stage, and monitoring techniques; skilled with SQL and data extraction methods.
Innovative Thinker:
You thrive on solving complex problems and are always exploring new trends in Generative AI.
Collaborator & Communicator:
You’re an excellent communicator able to collaborate and professionally express your thoughts to team members, other engineering teams, and stakeholders.
Domain Knowledge:
Exposure to financial services, investment banking, venture capital, or private equity is nice to have.
Languages: English
—Upper-Intermediate or higher;
Ukrainian
—fluent/native
.
What’s in it for You
Reveal great tech solutions
Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.
Experience an agile and flexible working environment
Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture.
Embrace the opportunity for personal and professional growth
Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more.
Feel cared about
Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values.
Interview steps
Pre-Screening with the recruiter
Technical interview (up to 90 min)
System Design interview (up to 45 min)
Final interview with Engineering Manager (60 min)
Location: Москва
Наша команда ищет Senior Data Scientist, который будет заниматься разработкой ключевых GenAI-инициатив в канале ВСП.
Вам предстоит с нуля выстраивать end-to-end пайплайны: от исследования и прототипирования до вывода в продакшен интеллектуальных агентов и ML-моделей. Вы будете отвечать за полный цикл создания ценности — от бизнес-гипотезы до работающего продукта.
Обязанности
**Что предстоит делать:**
* Проектировать и внедрять в продакшен мультиагентные системы (orchestrator–workers, ReAct, Plan-and-Execute).
* Строить продакшен-RAG (гибридный поиск, ANN/HNSW, query rewriting, GraphRAG).
* Разворачивать harness для агентов, настраивать guardrails, трейсинг траекторий и проводить A/B-тесты версий (промпт/модель/инструменты).
* Оптимизировать LLM-пайплайны (DSPy / MIPROv2, управление контекстом и памятью).
* Дообучать модели (SFT, LoRA/QLoRA) под ру-домены и внедрять function calling / MCP.
Требования
* **Релевантный опыт работы от 5 лет**
* **Агенты:** LangChain, LangGraph (обязательно); LlamaIndex, CrewAI (опционально).
* **ML/NLP:** трансформеры, attention, prompt engineering (CoT, few-shot), Fine-tuning.
* **RAG и поиск:** Qdrant, Elasticsearch или FAISS.
* **Оценка:** LLM-as-a-Judge, Inspect AI / RAGAS / DeepEval, матстатистика для A/B-тестов.
* **Классический ML:** CatBoost, XGBoost, скоринг, предотвращение утечек.
* **MLOps:** Python (продакшен-код, ООП), Docker, k8s, CI/CD, MLflow/WandB, мониторинг data drift.
* **Инференс:** vLLM, Triton, TensorRT/ONNX, квантизация, оптимизация latency и стоимости.
Условия
* Гибкий гибрид (обсуждаем индивидуально).
* Современный IT-офис вблизи Москва-Сити с фитнес-залом.
* Ипотека с выгодой для сотрудника и льготные условия кредитования.
* Бесплатная подписка СберПрайм+.
* Скидки на продукты компаний-партнеров.
* ДМС с первого дня и льготное страхование для близких.
* Корпоративная пенсионная программа.
* Обучение за счет компании: онлайн-курсы в онлайн-школе Сбера и неограниченный доступ к библиотеке, обучение в Корпоративном университете, тренинги, митапы и возможность получить новую квалификацию.
* Крупнейшее DS&AI Community — более 600 DS-банка, регулярный обмен знаниями, опытом и лучшими практиками, интерактивные лекции и мастер-классы от ведущих ВУЗов и экспертов технологических компаний, дайджест о самых последних разработках в области DS&AI и отчеты с крупнейших конференций мира.
Location: Ukraine; Serbia; Yerevan; Spain; Slovakia; Slovenia; Poland
Workplace: remote
Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.
Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.
Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements.
Where this role sits
You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize:
Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction.
Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered.
What You’ll Do:
Take the seat
Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles.
Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow.
Build
Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases
Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design.
Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer.
Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client.
Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from.
Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team.
Own the outcome.
Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number.
Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here.
Be credible with the customer’s engineers and their executives.
Shape what we commit to before we commit to it.
What You’ll Bring:
Mindset
Proactive and self-directed; identify problems before they're handed to you
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job
B2+ English, comfortable collaborating across distributed, multicultural teams
Client Engagement
You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code
Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them
You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run
Technical depth
7+ years building and running production systems.
Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes
Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks
Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure
Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks.
Experience building and optimizing RAG systems in production
Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack.
Experience in making and defending architectural trade-off decisions
Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus
Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release
Model and agent monitoring, drift detection
Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs
Hands-on production experience with the Claude ecosystem — Claude Code, CLAUDE.md, hooks, skills files. Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus
MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus
Nice to have:
Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution
Experience in one of the industries: financial services, insurance, healthcare
Consulting, professional services, or other embedded customer-facing delivery
A2A: you can explain agent-to-agent interoperability
AWS and Claude Code Certifications
CI/CD pipeline experience (GitHub Actions, GitLab CI)
Experience in an additional language (Go, TypeScript, or Rust)
Experience with Apache Spark, Apache Airflow, Kafkа
What We Offer:
The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment
A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers
A growing AI delivery practice where you help build the tooling and frameworks, not just use them
Remote-friendly culture
Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance
Career growth; we actively develop our engineers
Access to the latest AI tools and premium subscriptions
Long-term B2B collaboration
Private medical insurance or a budget for your medical needs
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work
How we hire:
Intro conversation. The role, your background and aspirations, tech questions.
Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant
HR Interview. Soft skills and expectations
HM interview. Tech questions; a live engineering session is also possible
Location: North Macedonia; Montenegro; Moldova; Bulgaria; Czechia; Bosnia and Herzegovina; Croatia
Workplace: remote
Provectus is an
AWS Premier Partner
and an
Anthropic Strategic Partner
, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.
Our work centers on two verticals —
Financial Services & Insurance
and
Healthcare & Life Sciences
— where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.
Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements.
Where this role sits
You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize:
Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction.
Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered.
What You’ll Do:
Take the seat
Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles.
Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow.
Build
Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases
Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design.
Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer.
Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client.
Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from.
Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team.
Own the outcome.
Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number.
Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here.
Be credible with the customer’s engineers and their executives.
Shape what we commit to before we commit to it.
What You’ll Bring:
Mindset
Proactive and self-directed; identify problems before they're handed to you
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job
B2+ English, comfortable collaborating across distributed, multicultural teams
Client Engagement
You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code
Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them
You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run
Technical depth
7+ years building and running production systems.
Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes
Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks
Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure
Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks.
Experience building and optimizing RAG systems in production
Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack.
Experience in making and defending architectural trade-off decisions
Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus
Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release
Model and agent monitoring, drift detection
Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs
Hands-on production experience with the Claude ecosystem — Claude Code, CLAUDE.md, hooks, skills files. Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus
MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus
Nice to have:
Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution
Experience in one of the industries: financial services, insurance, healthcare
Consulting, professional services, or other embedded customer-facing delivery
A2A: you can explain agent-to-agent interoperability
AWS and Claude Code Certifications
CI/CD pipeline experience (GitHub Actions, GitLab CI)
Experience in an additional language (Go, TypeScript, or Rust)
Experience with Apache Spark, Apache Airflow, Kafkа
What We Offer:
The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment
A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers
A growing AI delivery practice where you help build the tooling and frameworks, not just use them
Remote-friendly culture
Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance
Career growth; we actively develop our engineers
Access to the latest AI tools and premium subscriptions
Long-term B2B collaboration
Private medical insurance or a budget for your medical needs
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work
How we hire:
Intro conversation. The role, your background and aspirations, tech questions.
Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant
HR Interview. Soft skills and expectations
HM interview. Tech questions; a live engineering session is also possible
Location: Орёл
Мы — команда ИИ-трансформации и технологического развития клиентов, которая помогает бизнесу проходить путь цифровой трансформации с помощью передовых технологий экосистемы Сбера. Наша цель — не просто продавать продукты, а выстраивать долгосрочное партнерство, помогая компаниям увеличивать прибыль, оптимизировать процессы и внедрять инновации.
Обязанности
Чем предстоит заниматься:
* Продажа и реализация комплексных проектов: Вы будете вести полный цикл сделки для ключевых корпоративных клиентов — от выявления потребности и проведения экспертных интервью до защиты архитектуры решения (AI, облачные сервисы, финтех) и подписания договор
* Формирование ценности для клиента: Анализировать бизнес-процессы и финансовую деятельность клиентов, формировать гипотезы по применению GenAI, больших данных и других технологий, оценивать экономический эффект от их внедрения
* Ведение стратегических переговоров: Проводить презентации и переговоры на уровне первых лиц компаний-клиентов, согласовывать коммерческие условия и защищать проектные инициативы
* Управление проектом и кросс-функциональное взаимодействие: После продажи вы будете курировать реализацию проекта, координируя работу внутренних команд банка, партнеров-интеграторов и заказчика для достижения максимальных результатов
* Экспертная поддержка: Участвовать в экспертных группах, делиться отраслевой и продуктовой экспертизой, а также помогать в популяризации продуктов экосистемы на внешних мероприятиях
Требования
**Что мы ждем от кандидата:**
* Опыт работы: Не менее 2 лет в сфере B2B-продаж. Опыт работы в системном интеграторе будет вашим преимуществом
* Ключевые навыки: Успешный опыт ведения сложных переговоров и выполнения KPI. Навыки управления проектами по методологиям Agile/Waterfall
* Технологическая база: Базовое понимание современных технологий (AI-агенты, LLM, облачные решения, API) и принципов цифровой трансформации. Умение применять нейросети в повседневной работе
* Образование: Высшее образование (предпочтительно в сферах ИТ, финансов или экономики)
Будет значительным преимуществом:
* Наличие сертификации в области управления проектами
* Глубокое знание реальных кейсов цифровой трансформации и умение моделировать их экономическую эффективность
* Навыки программирования, создания ИИ-агентов
Условия
Мы предлагаем:
* ежегодный пересмотр зарплаты, квартальные и годовая премии
* гибкая система премирования и возможность влиять на свой доход
* уникальная система обучения Сбера для профессионального и карьерного развития
* расширенный ДМС и 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
* корпоративная пенсионная программа.
Location: Ottawa
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
WHY THIS ROLE?
We're seeking an exceptional Customer Success Manager with deep expertise in the Canadian public sector and defence landscape to lead our most strategic government accounts. This role requires an individual who understands both the transformative potential of frontier AI and the unique requirements of government and defence organizations.
You will be the trusted advisor and strategic partner for Canadian federal departments, provincial agencies, Crown corporations, defence organizations, and healthcare systems as they navigate the complex journey of AI adoption. You'll guide organizations through the implementation of frontier AI in secure, highly regulated environments—ensuring solutions deliver a measurable impact while meeting stringent security, privacy, compliance, and ethical requirements.
In this role, you'll collaborate with our Strategic Customer team, Applied ML (AML) Engineering, Forward Deployed Engineering (FDE), Platform, Product, and Go-to-Market teams, serving as the voice of the customer internally and the face of Cohere externally for our most sensitive and high-impact government engagements. You'll have the unique opportunity to shape how Canada's most important institutions leverage AI to serve the public good.
Location: Ottawa (proximity to government customers)
Security Clearance: Active Top Secret clearance is mandatory for this role
WHAT YOU'LL DO
Strategic Customer Partnership:
- Own the success, adoption, and growth of Cohere's Canadian public sector and defence customers, ensuring they realize maximum value from our AI solutions
- Build deep, trusted relationships with senior government stakeholders, including Deputy Ministers, CIOs, ADMs, digital transformation leads, and departmental executives
- Develop comprehensive success plans tailored to each organization's mission, digital strategy, budget cycles, and unique constraints
- Serve as the primary point of contact and executive sponsor for your accounts, managing escalations and ensuring customer satisfaction
- Define and track success metrics aligned with public sector priorities: citizen satisfaction, service delivery improvements, cost savings, operational efficiency, accessibility outcomes
AI Adoption & Implementation Leadership:
- Guide customers through the full lifecycle of AI adoption—from use case identification and pilot design through production deployment and scaling
- Lead secure AI implementation projects in complex government environments, including air-gapped systems, Protected B/C environments, and on-premises deployments
- Navigate the unique challenges of public sector AI adoption: legacy system integration, data sensitivity, lengthy approval processes, and risk-averse organizational cultures
- Create and execute change management strategies to drive user adoption and value realization across diverse government workforces
- Conduct regular executive business reviews with senior stakeholders, demonstrating ROI, impact, and strategic value
- Drive contract renewals and account growth by consistently delivering value and building trusted relationships
Compliance & Risk Management:
- Ensure all implementations meet Canadian government security protocols, including PBMM standards, security assessments, and authority-to-operate requirements
- Navigate privacy and compliance requirements: Privacy Act, PIPEDA, PHIPA, Access to Information Act, Official Languages Act, accessibility standards
- Lead or support Algorithmic Impact Assessments and responsible AI governance processes as required by Treasury Board directives
- Develop risk mitigation strategies for AI deployments in high-security, mission-critical, and citizen-facing contexts
- Coordinate with customer security teams, privacy officers, legal counsel, and compliance functions
Customer Advocacy & Product Influence:
- Serve as the voice of public sector and defence customers within Cohere, advocating for features and capabilities that address government-specific needs
- Provide strategic feedback to Product and Engineering teams on requirements related to security, explainability, accessibility, bilingualism, and ethical AI
- Contribute to the development of public sector-specific offerings, implementation playbooks, documentation, and best practices
- Share customer insights to inform Cohere's public sector go-to-market strategy and positioning
- Represent Cohere at government forums, working groups, roundtables, and industry events
Cross-Functional Collaboration:
- Partner with Sales to support expansion opportunities, renewals, and new customer acquisition
- Coordinate with Solutions Architects and Forward Deployed Engineers on technical implementation and optimization
- Work with Legal, Security, and Compliance teams to navigate complex procurement, contracting, and regulatory requirements
- Collaborate with Marketing on thought leadership content, case studies, and public sector community building
YOU MAY BE A GOOD FIT IF:
Required Experience:
- 8+ years of experience in customer success, account management, strategic consulting, or technology delivery roles within enterprise or government contexts
- At least 3-5 years working directly with the Canadian government, defence, or healthcare organizations in a technology, digital transformation, or consulting capacity
- Proven track record of managing complex, strategic accounts with multiple stakeholders, long sales cycles, and multi-year implementation timelines
- Experience leading AI/ML, cloud, or enterprise software implementations in secure or highly regulated environments
- Deep understanding of how government organizations evaluate, procure, implement, and govern technology solutions
- Active Top Secret security clearance (mandatory)
Customer Success & Account Management Excellence:
- Demonstrated success driving customer adoption, expansion, and retention in complex enterprise or government accounts
- Experience developing and executing customer success strategies, QBRs, and executive engagement programs
- Track record of identifying and closing expansion opportunities within existing accounts
- Ability to manage multiple strategic accounts simultaneously while maintaining high-touch, personalized engagement
- Experience navigating organizational politics and building coalitions across siloed government departments
Public Sector & Defence Acumen:
- Comprehensive knowledge of the Canadian public sector ecosystem: federal departments, provincial ministries, Crown corporations, defence, intelligence, critical infrastructure, and healthcare
- Deep familiarity with government digital strategies, service delivery transformation, and citizen-centric design principles
- Understanding of public sector budget cycles, Treasury Board processes, government procurement frameworks, and contract vehicles
- Knowledge of relevant legislation and frameworks: Privacy Act, PIPEDA, PHIPA, Directive on Automated Decision-Making, Algorithmic Impact Assessments, accessibility requirements
- Experience with government cloud strategies and security frameworks: GC Cloud, PBMM, Protected environments, CCCS guidelines
- Proven ability to work with classified information and operate effectively in secure, compartmented environments
Nice to Have:
- Bilingual (English/French) proficiency—a strong asset for working across the federal government
- 3+ years specifically managing GenAI, LLM, or conversational AI implementations
- Experience with specific Canadian public sector digital transformation initiatives: Canada.ca http://Canada.ca modernization, healthcare AI projects, Canadian Digital Service programs, or provincial digital government initiatives
- Direct experience working with Canadian defence, intelligence, public safety, or national security organizations
- Professional certifications: CSM, PMP, ITIL, or Canadian government-specific security training
- Experience with government collaboration platforms: GCdocs, GCworkspace, Protected collaboration tools
- Background in management consulting, systems integration, or digital transformation consulting for public sector clients
- Experience with any modern programming language (C++, C#, JavaScript, Python, etc.)
WHAT MAKES THIS ROLE UNIQUE
This is a rare opportunity to shape how Canada's most important institutions leverage AI to serve the public good. You'll work with organizations responsible for national security, healthcare delivery, social services, and democratic institutions—helping them navigate the profound opportunities and responsibilities that come with deploying frontier AI technology.
You'll need to balance competing demands: innovation velocity with government due diligence, technical possibilities with policy constraints, commercial success with public sector values, and breakthrough capabilities with ethical considerations. It requires patience, strategic thinking, in-depth sector knowledge, security awareness, and a genuine passion for achieving public service outcomes.
If you're energized by complex challenges, have deep public sector expertise, understand the gravity of working with classified systems, and want to have an outsized impact on Canada's digital future while working with cutting-edge AI technology, this role is for you.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Москва
Мы защищаем будущее: создаем систему кибербезопасности для генеративного ИИ в Сбере. Наш продукт SOC4AI (Security Operations Center for AI) — это компонент в структуре SOC (Security Operations Center) Сбербанка, отвечающий за мониторинг, анализ и противодействие киберугрозам на GenAI-модели и AI-агенты.
Мы находимся на передовой защиты цифрового завтра и ищем инженера сопровождения, который обеспечит стабильную и надежную работу продукта в промышленной эксплуатации. SOC4AI осуществляет мониторинг более 3 000 ИИ-агентов; телеметрия их запросов и ответов в режиме реального времени поступает в платформу кибербезопасности для анализа.
Обязанности
* эксплуатация сервисов SOC4AI: обеспечение по доступности и задержкам.
* мониторинг real-time конвейера приема телеметрии от более 3 000 ИИ-агентов (запросы и ответы), потери и дубли событий.
* мониторинг качества ML-моделей детектирования угроз в продуктивной среде: precision, recall, FPR / FNR по классам угроз, деградация относительно baseline; эскалация в ML-команду, участие в откате и выкатке новых версий моделей.
* развитие observability-стека: метрики Prometheus, дашборды Grafana, OpenTelemetry Collector, централизованные логи (ELK / OpenSearch), трейсинг.
* релизный процесс: деплой через Argo CD, сопровождение сред DEV → ИФТ → ПСИ → ПРОМ.
* управление инцидентами: triage, диагностика, восстановление сервиса, эскалация по матрице, RCA и планом корректирующих действий.
* эксплуатация хранилищ: PostgreSQL, векторные БД, Kafka.
* capacity planning: прогноз роста нагрузки, настройка requests / limits, контроль утилизации GPU под инференс моделей.
* автоматизация эксплуатации: Bash / Python, Ansible, CI/CD-пайплайны.
* участие в нагрузочном тестировании и ПСИ, приемка сервисов в эксплуатацию.
* участие в on-call дежурствах по графику.
Требования
* опыт SRE / DevOps / Production Support высоконагруженных распределенных систем от 3-х лет.
* администрирование Linux: systemd, cgroups, файловые системы, диагностика (top, iostat, vmstat, strace, tcpdump, ss); сети: TCP/IP, DNS, HTTP/2, TLS.
* Kubernetes / OpenShift: workloads, Service и Ingress, ConfigMap и Secret, probes, requests / limits, HPA; диагностика CrashLoopBackOff, OOMKilled, проблем scheduling; Helm.
* Prometheus и Grafana: PromQL, alerting rules, Alertmanager; ELK / OpenSearch.
* Apache Kafka: топики, партиции, consumer groups, consumer lag, ISR, retention, ребалансировка.
* PostgreSQL: SQL, анализ планов запросов, репликация, бэкап и восстановление.
* Понимание метрик качества ML-моделей (precision, recall, F1, FPR, confusion matrix, дрейф данных) и умение строить по ним дашборды и алерты.
* автоматизация на Bash и Python.
* CI/CD (GitLab CI, Jenkins), Git, подход GitOps.
* SRE-практики: SLI / SLO / SLA, error budget, blameless post-mortem; процессы ITSM (инциденты, изменения, проблемы).
* опыт работы в команде по гибким методологиям разработки (Agile/Scrum/Kanban).
Будет плюсом:
* Apache Flink: checkpoints и savepoints, backpressure, watermarks; Apache Spark, Hadoop HDFS.
* OpenTelemetry (Collector, sampling), Jaeger.
* Векторные БД: Qdrant, Milvus, pgvector.
* MLOps: MLflow, сервинг моделей (Triton, vLLM, KServe), мониторинг GPU (DCGM).
* Infrastructure as Code: Terraform, Ansible; Argo CD.
* опыт работы в периметре информационной безопасности: SIEM, SOC, закрытые контуры.
* понимание устройства LLM и AI-агентов, атак на них (prompt injection, jailbreak), знакомство с OWASP Top 10 for LLM.
Условия
* комфортный современный офис в Москве (ул. Вавилова, 23)
* график работы – офис
* ежегодный пересмотр зарплаты, квартальная и годовая премия
* корпоративный спортзал и зоны отдыха
* более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
* программа адаптации и помощь руководителя на старте (для Junior позиций)
* расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа
* гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ
* подписка Прайм с возможностью совместного использования на трёх близких
* вознаграждение за рекомендацию друзей в команду Сбера
УдалённоNorth Macedonia; Montenegro; Moldova; Bulgaria; Czechia; Bosnia and Herzegovina; Croatia
Орёл
Ottawa; We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities
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