Инфраструктурный RnD менеджер

Мы - Управление развития искусственного интеллекта блока "Развитие клиентского опыта B2C". В нашей зоне ответственности ML-решения, результаты работы которых ежедневно влияют на поведение десятков миллионов клиентов.

Развитие клиентского опыта – динамический и активно развивающийся процесс. Совместно с бизнесом мы проводим десятки различных экспериментов ежемесячно, и лучшие из них оформляем в полноценные ML продукты. Совокупные финансовые эффекты от наших продуктов > 1 млрд. руб. в год.

Обязанности

• проектировать и развивать end-to-end пайплайны для ML-решений в рамках программы Лояльности: от поставки данных и обучения до A/B-тестирования и вывода моделей в production
• декомпозировать и рефакторить существующие решения (в том числе полу-ручные MVP) в высоконагруженные, отказоустойчивые микросервисы на Python
• тестировать и оптимизировать PySpark ETL/ELT-пайплайны: профилировать узкие места, настраивать джобы, работать с партиционированием и форматом хранения данных для обеспечения производительности на больших объёмах
• разрабатывать внутренние Python-библиотеки и стандарты разработки для переиспользования кода командами Data Science.

Требования

• опыт от 3 лет в разработке на Python, из них от 2–3 лет в роли MLOps Engineer, Data Engineer или Backend-разработчика в ML-платформах
• уверенная работа с экосистемой Big Data: опыт работы, тестирования и оптимизации PySpark-пайплайнов, Apache Airflow (или аналоги), Kafka, Docker/Kubernetes (K8s), S3/HDFS
• опыт проектирования архитектуры ML-решений: понимание микросервисов, асинхронности, паттернов проектирования
• понимание полного цикла жизни ML-модели: от подготовки данных и feature engineering до мониторинга в проде (MLflow, Prometheus/Grafana или аналоги).

будет плюсом:

• опыт автоматизации CI/CD для полного цикла ML (обучение, валидация, развёртывание моделей) с использованием GitLab CI или Jenkins
• понимание PySpark на уровне администратора/архитектора: тонкая настройка кластеров, управление ресурсами (динамическое распределение Dynamic Allocation), работа с executors, partitions, управление памятью (spark.memory.fraction, spark.memory.storageFraction), тюнинг shuffle
• опыт работы с Feature Store, MLflow, ClickHouse.

Условия

• комфортный современный офис рядом с м. Кутузовская
• офисный формат работы
• ежегодный пересмотр зарплаты, годовая премия
• корпоративный спортзал и зоны отдыха более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
• программа адаптации и помощь руководителя на старте
• 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.

About the Team

IT Operations at ClickHouse keeps the company's internal systems, tooling, and infrastructure running securely and efficiently — from identity and endpoint management to the platforms every team relies on to do their work. This role sits on a newly formed AI Engineering function within IT Operations, created to centralize AI Ops rather than leave it disjointed across teams. The team — a Technical Lead plus one or two AI Ops Engineers — reporting to the IT Business Systems Manager, and brings the same rigor IT Ops applies to systems and infrastructure to the design, deployment, and lifecycle management of AI solutions and the agents they power.

About the Role

We are looking for an AI Ops Engineer to help build and run a new AI Ops function at ClickHouse. You will work under a Technical Lead to design, build, and maintain AI-driven solutions across the business (People, Finance, Legal, and beyond) and engineering — building integrations, maintaining agents, supporting cost visibility, and helping train the org on AI best practices. This is a hands-on execution role: you will move quickly, ship real workflows, and help the team learn what works as we centralize AI Ops for the first time.

Success

This is a net-new function; specific goals will be set with your Technical Lead. Directionally, the team is measured on:

• Measurable reduction in redundant or inefficient AI tool and model spend through right-sizing, routing, and cost visibility

• A working framework for evaluating and selecting models/tools by cost, latency, accuracy, and risk, adopted across teams

• Agents and AI workflows built, deployed, and maintained cross-functionally (People, Finance, Legal, Engineering, and beyond)

• Improved AI fluency and literacy org-wide, measured through training participation, adoption of approved tools, and reduced shadow-AI usage

• Established identity, access, audit, and lifecycle practices for AI agents that satisfy Security and GRC requirements

You Will

Build AI-Powered Solutions

• Develop and deploy solutions using LLMs, automation frameworks, and internal tooling, for both business and engineering use cases

• Integrate AI into existing systems (HRIS, ATS, ERP, procurement orchestration, ticketing, CI/CD, developer tooling) and legal infrastructure like CLM or Matter Management

• Build workflows such as document generation, data extraction, knowledge retrieval, and decision support across systems and knowledge bases

• Use modern integration standards (e.g., MCP) to give AI models and agents direct, secure access to internal knowledge and context

Support Model Evaluation

• Help test and benchmark AI models against accuracy, latency, cost, and safety criteria

• Support model risk assessments and due diligence alongside Security and GRC

• Help implement and maintain the internal model routing solution

Support Cost Visibility

• Help build dashboards and reporting for AI/LLM spend across teams and tools

• Implement tagging, monitoring, and alerting for cost anomalies

• Identify and execute on cost-optimization opportunities (prompt efficiency, caching, model right-sizing)

Maintain Agent Infrastructure

• Help provision, credential, and de-provision AI agent access

• Support deployment, versioning, monitoring, and retirement of agents

• Maintain and patch agent infrastructure and dependencies

• Help maintain audit trails and logging for agent actions

Deliver Training and Enablement

• Design and deliver company-wide AI training programs tailored to different audiences — non-technical business users through engineers

• Create lightweight playbooks, guides, templates, and reusable components for safe, effective AI adoption

• Run onboarding sessions, office hours, and workshops to build AI fluency and drive adoption of approved tools and agents

• Establish a feedback loop with users to continuously improve training content, tooling, and documentation

You Bring

You are not expected to have every skill below — tell us which are your strongest.

• Experience building with modern AI/ML tools and frameworks

• Experience building and consuming APIs, developing data pipelines, and architecting system integrations

• Working knowledge of cloud infrastructure (AWS, GCP, or Azure) and experience hosting or operating services in production

• Experience comparing and evaluating AI models across providers, including trade-offs between cost, latency, and quality

• Comfort working with usage and billing data to build cost visibility, forecasting, or optimization

• Ability to understand both business and engineering workflows and translate them into technical solutions

• Experience working with or integrating business systems as well as engineering/developer tooling

• Experience creating training materials, documentation, or workshops for mixed technical/non-technical audiences

• Understanding of data privacy, security, and compliance considerations

• Experience implementing safeguards in AI systems, including identity and access controls for automated/non-human actors

Perks

• Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.

• Healthcare - Employer contributions towards your healthcare.

• Equity in the company - Every new team member who joins our company receives stock options.

• Time off - Flexible time off in the US, generous entitlement in other countries.

• A USD$500 Home office setup if you’re a remote employee.

• Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.

Culture - We All Shape It

As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.

Are you interested in finding out more about our culture? Learn more about our values here. Check out our blog posts or follow us on LinkedIn to find out more about what’s happening at ClickHouse.

Equal Opportunity & Privacy

ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Please see here for our Privacy Statement.

EMCD is an international technology company in the crypto industry. We are developing an ecosystem of products and services and are looking for a Middle Platform Engineer to join our infrastructure team.

You will help develop our shared engineering platform, automate infrastructure, and enable development teams to deliver changes to production quickly and safely.

This role is a good fit for an engineer with practical DevOps experience who wants to grow into Platform Engineering and SRE, gradually taking on greater responsibility for system reliability.

Key Responsibilities

• Develop and maintain Kubernetes infrastructure across cloud and bare-metal environments.
• Automate infrastructure provisioning and configuration using Terraform and Ansible.
• Build and improve GitLab CI pipelines and reusable build and deployment templates for development teams.
• Maintain GitOps workflows using ArgoCD and Helm.
• Improve monitoring, logging, and alerting, and participate in incident investigation and resolution.
• Develop internal tools and automation using Python or Go.
• Contribute to improvements in networking, secrets management, and access controls.
• Help developers use the platform, handle infrastructure requests, and turn recurring tasks into automated solutions.

Requirements

• Practical commercial experience in DevOps, infrastructure engineering, or SRE.
• Strong Linux skills and an understanding of networking fundamentals, including TCP/IP, HTTP/S, and DNS.
• Hands-on experience with Kubernetes or OpenShift in production environments.
• Experience with Infrastructure as Code and configuration management, preferably using Terraform and Ansible.
• Practical experience building and maintaining CI/CD pipelines.
• Familiarity with Helm and GitOps principles.
• Experience with monitoring and logging tools, including participation in infrastructure incident investigations.
• Python or Go programming skills for task automation.
• The ability to explain your technical decisions, collaborate with developers, and take tasks through to completion.

Nice to Have

• Experience working with both cloud and bare-metal infrastructure.
• Hands-on experience with GitLab CI, ArgoCD, and Harbor.
• Familiarity with Prometheus, Grafana, VictoriaMetrics, Mimir, OpenTelemetry, Loki, or ELK.
• Experience with Cilium, Nginx, Traefik, Gateway API, or Cloudflare.
• Experience with Vault, Keycloak, and vulnerability scanning tools.
• Experience operating databases, message brokers, and object storage.
• Experience building reusable infrastructure modules, CLI utilities, or self-service tools for developers.

What We Offer

• Remote-first company — work from anywhere in the world.
• Fully flexible working hours.
• Extended time off: 20 paid vacation days + 12 bonus days per year.
• 100% paid sick leave.
• Paid English lessons (iTalki).
• Professional growth support (courses, certifications, training programs).
• Real impact and ownership in fintech & crypto projects.
• Corporate benefits: EMCD product discounts and mining infrastructure access.
• Employment via Service Agreement.

Apply today and help us build the future of crypto!