Вакансии

• Коммерческий опыт работы DevOps Engineer — от 4 лет.

Опыт в телекоммуникациях и 5+ лет в API-интеграционном тестировании. Сильный опыт API-тестирования, автоматизации и API parity-тестирования при миграции и re-platforming.

- Анализ требований и приёмка технической документации. - Создание чек-листов и тест-кейсов.

Role Focus: Build and deploy production-grade AI/ML and Generative AI systems, with a focus on LLMs, RAG, personalization, MLOps, and cloud infrastructure. - Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants.

Location: Москва Мы ищем опытного LLM/ML инженера, который станет ключевым экспертом по интеграции больших языковых моделей в нашу Java-систему. Наш Продукт анализирует обратную связь корпоративных клиентов банка — от сбора данных до формирования рекомендаций через корпоративные LLM. Первый этап отбора на эту вакансию – общение с AI-рекрутером. После отклика ждите сообщение от него в Сберчате, диалог займёт примерно 10 минут. Задача AI-рекрутера — уточнить недостающие детали и ускорить рассмотрение вашей кандидатуры. AI-рекрутер только начинает свой путь, поэтому просим относиться с пониманием. Ваш опыт и участие помогут сделать его удобным и полезным для всех! Обязанности * проектирование и разработка модулей обработки с использованием LLM * написание, версионирование и оптимизация промптов для корпоративных моделей * построение и поддержка eval-наборов: вопросы + эталоны + метрики качества * проведение A/B тестов промптов и параметров * разработка интеграции LLM через REST API: подготовка данных, формирование запросов, обработка ответа * контроль галлюцинаций, безопасности (guardrails), времени отклика и стоимости * настройка мониторинга и отслеживания работы LLM * передача экспертизы по LLM Java-разработчикам. Требования * коммерческая разработка на Java от 3 лет * опыт интеграции LLM в промышленные условия: понимание возможностей и ограничений корпоративных моделей * понимание промпт-инжиниринга: структура промптов, примеры, подсказки в мышлении, защита от некорректных ответов * опыт построения eval-наборов и метрик качества LLM * опыт работы с API: REST API, JSON, ретраи, таймауты, сериализация * опыт работы с безопасностью API: хранение ключей, авторизация, работа с чувствительными данными * опыт работы с асинхронными задачами и очередями * умение самостоятельно декомпозировать задачи и принимать технические решения. Условия * комфортный современный офис рядом с м. Кутузовский проспект * график – офис * срочный ТД до 01.08.27 * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для * профессионального и карьерного развития * 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.

Location: Москва Мы - команда мобильного приложения Сбербанк Онлайн. Разрабатываем цифрового ассистента для мобильного приложения СБОЛ, который работает на базе технологий LLM. В ядре нашего ассистента лежит мультиагентная система. Мы ищем опытного NLP-специалиста, который будет разрабатывать новых ИИ-агентов для удовлетворения потребностей пользователей. Обязанности * анализ бизнес-задач и участие в выборе методов моделирования для их решения / проработка с заказчиками вариантов реализации ML-решений * разработка ИИ-агентов на базе LLM с использованием фреймворков LangChain/GigaChain/LandGraph * создание RAG (Retrieval Augmented Generation) пайплайнов * решение вспомогательных NLP-задач (Preprocessing, Classification, Clustering, Summarization (Ext/Abst), Sentence Compression, Simplification, NER, Embeddings, Prompt Tuning) * дообучение LLM под бизнес-задачи (SFT, LoRA), разработка пайплайнов оценки качества ML-решения (LLM-as-a-judge, классические метрики качества для задач классификации с естественными метками) * разработка дизайна пилотов для оценки продуктового и финансового эффектов от запуска ML-решений, приоритизация бэклога гипотез по улучшению качества ML-решений * вывод ML-решений в промышленную эксплуатацию совместно с командой MLOps. Требования * высшее образование (желательно техническое/экономическое) * опыт в ML от 3-х лет * знание библиотек и фреймворков: pandas, pyspark, catboost, pytorch, langchain/langgraph * отличные знания классического и нейросетевого ML применительно к NLP-задачам * имеешь опыт решения задач с использованием различных LLM-моделей (BERT, RoBERT, XLNet, LLaMA). * Знаешь как работает RAG Условия * гибридный формат работы: г.Москва, Бизнес-центр, Кутузовский проспект, д. 32, к.1 * ежегодный пересмотр зарплаты и годовая премия * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС (медицинское страхование), льготное страхование для семьи * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.

• Опыт от 4 лет с Java/Scala, Apache Flink (или Beam/Spark Streaming) и Kafka.

• 5+ лет коммерческого опыта с Python и production-опыт разработки AI-агентов, LLM orchestration и RAG. • Практический опыт с LangGraph / LangMem, Qdrant или аналогами.

Plaid is looking for a Corporate Engineer to automate and secure corporate infrastructure and employee systems.

Akuna Capital is looking for a Platform Engineer to design cloud solutions, automate infrastructure, improve cloud governance and security, and monitor hybrid-cloud environments.

Задачи: — Разработка и тестирование электромеханических систем — Создание приспособлений для проверки надежности — Анализ отказов — Поддержка полевых и производственных испытаний

OKX is looking for a Senior Staff Software Engineer to design and operate high-scale payment APIs and distributed services while ensuring transaction correctness and mentoring engineers.

Lead design and implementation of the CDS Hooks platform, including card orchestration, hook context handling, EHR-side logic orchestration, and integration with downstream data services. Lead technical integration with EMR systems (Epic, NextGen, Athena, ECW) for CDS Hook discovery, execution, card rendering, and user action handling.

Location: Ukraine; Poland; Croatia; Spain; Romania; Portugal 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. And now we are looking for a Staff Software Engineer to join us as part of our team. About the role 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. Our Tech Stack Java, Spring, React, Typescript, Apache Beam, Flink, Python, LangGraph, GCP/AWS, K8s. Work Environment Flexible schedule with participation in team ceremonies and cross-functional collaboration. Time zone: Europe/Kyiv. As a qualified expert, You will - Solve strategic engineering problems hands on. Explore technologies, build prototypes, and produce reference implementations that make architectural qualities and tradeoffs observable. - Design and deliver working software. Architect, implement, test, and maintain services and platform components, including backend systems and architecture-related frontend concerns such as micro-frontend patterns. - Automate architectural conformance. Design and implement AI-based architectural conformance checks and fitness functions that continuously evaluate whether systems follow agreed principles, patterns, and quality constraints. - Turn ambiguity into an executable approach. Break complex problems into bounded areas, apply domain-driven design, and select a practical course of action when information or precedent is limited. - Define measurable quality goals. Establish and continuously evaluate requirements for performance, scalability, reliability, security, availability, recoverability, maintainability, portability, usability, and extensibility. - Document architecture evolution. Describe the current state, target state, transition steps, constraints, alternatives, and decisions in forms that engineering teams can use. - Make explicit engineering tradeoffs. Provide balanced recommendations on build versus buy, now versus later, and refactor versus rebuild, including cost and operational implications. - Create reusable engineering patterns. Develop scaffolding, templates, reference architectures, or platform capabilities that teams can adopt without depending on the Staff Software Engineer long term. - Guide delivery teams. Perform architecture and design reviews, coach engineers through difficult decisions, and enable teams to make high-quality choices independently. - Communicate for the audience. Explain technical context clearly to engineers, technical leaders, product managers, and business stakeholders, and incorporate useful feedback. We’re looking for you if you have - A degree in Computer Science, Information Systems, or a related field, or equivalent practical experience. - At least 6 years of experience in software engineering using Java or a comparable object-oriented language. - At least 3 years developing microservices and experience building distributed or event-driven systems in the cloud. - Practical knowledge of service-oriented architecture, domain-driven design, clean architecture, hexagonal architecture, and common architecture patterns. - Experience implementing agentic applications and tools applying evaluation approaches as part of the process - Experience designing RESTful APIs and event driven Kafka-based applications - Experience with mainstream relational databases, caching, replication, and search technologies. - Experience developing and evaluating agentic applications. - Experience with Google Cloud Platform or Amazon Web Services with container orchestration technologies. - Strong problem-solving skills and the ability to lead through technical guidance across multiple teams without formal authority. - Excellent written and verbal communication with engineers, managers, and product partners. 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 recruiter Technical Screening Technical Interview HR BP Interview Final client Interview

Location: United States; Canada; United Kingdom; Australia; New Zealand About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are looking for Software Engineers to help train and evaluate next-generation AI models on real-world software engineering tasks. You will assess AI-generated code for correctness, quality, and design, create challenging programming problems with verified reference solutions, and evaluate model reasoning across architecture, debugging, and system design. This role is ideal for technically strong professionals who can identify engineering flaws and provide clear, actionable feedback to improve AI performance. SENIORITY: Mid-Senior LANGUAGE: Strong written English Key Responsibilities Evaluate AI-generated code for functional correctness, code quality, maintainability, and sound software design. Create challenging coding problems, verified reference solutions, and comprehensive test cases. Review AI reasoning on software architecture, debugging, algorithms, and system design. Identify logical errors, inefficient implementations, edge cases, and architectural weaknesses. Provide detailed technical feedback and explanations to help improve AI model performance. Apply consistent evaluation criteria to ensure accurate and reliable assessments. Requirements At least 3 years of overall professional experience in Data Science or Software Engineering. At least 1 year of professional experience at a leading technology, finance, or research company. A bachelor’s degree in Data Science, Software Engineering, Computer Science, or a related field from a university in the United States, Canada, Australia, New Zealand, or the United Kingdom. Strong programming and software engineering fundamentals. Ability to evaluate code correctness, identify bugs, and assess software design decisions. Strong analytical thinking and the ability to solve complex technical problems. Excellent written English and the ability to communicate technical feedback clearly.

Location: Serbia; Ukraine; Astana, Kazakhstan; Almaty, Kazakhstan; Tbilisi, Georgia; Yerevan, Armenia Crystalia Glass LLC is a leading provider of premium glass products, dedicated to transforming spaces with elegance and sophistication. With a commitment to craftsmanship and innovation, we specialize in designing and manufacturing high-quality glass solutions for residential and commercial projects. Founded in 2017 in New York, the company has expanded its presence with offices in Los Angeles, Florida, and Texas. As a nationwide company, we serve clients across America, offering our signature glass products and services to diverse markets. We are looking for an Supply Engineer with a technical background to manage supply and procurement activities for glazing construction projects. In this role, you’ll manage different parts of our glazing projects and make sure everything runs smoothly. Your knowledge will be key to delivering high-quality results. Key Responsibilities 1. Production launch and control ⁠Starting production processes: setting up glass orders, checking hardware availability, and ordering any custom hardware or materials if needed. Inventory planning: forecast demand, ensure warehouses are supplied. 2. Suppliers and procurement Supplier sourcing: identify and evaluate local/international suppliers. Negotiate prices, payment terms, delivery timelines. Ordering consumables for the installation team and warehouse (based on calls). Following up with suppliers about order status and solving any issues with delivery or pickup to warehouses. 3. Drawings and documentation Review technical drawings and specifications to create material lists. Check dimensions, finishes, and quality requirements before ordering. ⁠Keeping track of changes in estimates and documents. ⁠Making sure technical documents and component orders are prepared on time for container arrivals. 4. Cross-team collaboration Cross-functional collaboration and consulting with Sales, Project Managers, designers/engineers, and estimators. Support teams with substitutions and change orders. Provide pricing and material info for budgeting. elp the warehouse team check if parts match drawings. Requirements 1+ year of experience in engineering (construction, manufacturing, or related industries) or procurement/supply chain. Ability to read and interpret technical drawings. Fluent in English C1 and Russian C1 Strong organizational skills with experience creating material lists from specifications. Supplier negotiation and international sourcing experience. Confidence working with spreadsheets and procurement systems. Ability to work in a multitasking environment, prioritize effectively, and meet deadlines. Familiarity with AutoCAD or similar software for reviewing drawings. Experience with CRM systems for purchasing and inventory management. Benefits Fully remote job opportunity. 8.30 - 5 PM EST (NY time zone) Joining a highly professional and dynamic team. Transparent career growth opportunities with a focus on professional and financial development B2B contract

Location: Belgrade, Serbia As part of our continued growth, Neo Group is recruiting on behalf of one of our local partners , leveraging our network of 1,400 talented professionals across 10+ countries. Together, we are committed to delivering innovative, data-driven solutions that empower our clients and foster professional growth within a dynamic and collaborative workplace. We are on the lookout for a Senior System Engineer to join our Engineering Team. Key Responsibilities Platform Engineering & Transformation: Help evolve Infrastructure & Operations toward a platform engineering model. Workflow Automation & Standardization: Standardize and automate infrastructure workflows and reduce manual provisioning. Core Capabilities & Provisioning: Build reusable infrastructure capabilities for databases, messaging, secrets, DNS, compute, monitoring, and application environments. Internal Tooling & Lifecycle Management: Develop internal tooling, APIs, and declarative workflows for infrastructure lifecycle management. Ecosystem & Tooling Integration: Improve integration between Kubernetes, CI/CD, networking, secrets management, databases, and observability systems. Architectural & Technical Design: Participate in architecture and technical design of platform and infrastructure services. Reliability & Performance Engineering: Improve reliability, scalability, and operational simplicity of production infrastructure. Troubleshooting & Incident Investigation: Investigate complex infrastructure and production issues across Linux, networking, applications, and distributed systems. Observability & Diagnostics: Improve observability, diagnostics, and troubleshooting capabilities. Cross-Functional Collaboration: Work closely with Development, DevOps, SRE, DBA, Security, and Infrastructure units. Documentation & Best Practices: Standardize common infrastructure solutions and document how they should be implemented and used. Technology Innovation & Developer Experience: Evaluate and introduce technologies that improve developer experience and infrastructure efficiency. Requirements 5+ years of hands-on experience in Infrastructure Engineering, Systems Engineering, SRE, DevOps, Production Engineering or similar roles. Strong Linux administration and troubleshooting skills. Good understanding of production infrastructure, networking and distributed systems. Hands-on experience operating Kubernetes in production . Practical experience with Infrastructure as Code and configuration management , using Terraform, Ansible or similar tools. Experience with CI/CD and infrastructure automation workflows. Programming or strong scripting skills in Python, Go, Java, Bash or similar. Experience with monitoring and observability systems. Understanding of secrets management and secure infrastructure access patterns. Experience integrating infrastructure systems through APIs. Ability to design reusable infrastructure solutions instead of one-off automation. Strong systems thinking and ability to troubleshoot complex cross-system issues. Ability and willingness to learn new infrastructure and platform technologies. Nice to Have Experience with GitOps approaches and tools. Experience with Crossplane, Kubernetes operators or controllers . Experience with Vault or similar secrets management platforms. Experience with Kafka, PostgreSQL, Redis or ClickHouse . Experience with Proxmox, VMware or public cloud platforms . Experience developing internal infrastructure tools, APIs or self-service capabilities . Soft Skills Strong analytical thinking and technical curiosity. Ownership and responsibility. Pragmatic approach to automation and engineering. Ability to work independently on ambiguous technical problems. Good communication and documentation skills. Willingness to remain hands-on and share technical knowledge. Benefits Recharge your batteries with 20 paid working vacation days annually to explore, relax, and rejuvenate. Kick off your birthday month with a bang! Not only do you get heartfelt birthday wishes from your team, but you also enjoy a fully-paid day off. Get legal support for obtaining a local work/residence permit. Prioritize your health with compensation for wellness activities. Experience an international work environment with a passionate, motivated, and professional team. We support your health by partially or fully reimbursing medical insurance costs, depending on the chosen plan. Invest in your growth using professional development compensation. Boost your energy and morale with complimentary snacks available in the office. Foster camaraderie and celebrate achievements through engaging in corporate events throughout the year.

Location: Kazakhstan; Yerevan, Armenia; Uzbekistan; Tbilisi, Georgia As part of our continued growth, Neo Group is recruiting on behalf of one of our local partners , leveraging our network of 1,400 talented professionals across 10+ countries. Together, we are committed to delivering innovative, data-driven solutions that empower our clients and foster professional growth within a dynamic and collaborative workplace. We are on the lookout for a Senior System Engineer to join our Engineering Team. Key Responsibilities Platform Engineering & Transformation: Help evolve Infrastructure & Operations toward a platform engineering model. Workflow Automation & Standardization: Standardize and automate infrastructure workflows and reduce manual provisioning. Core Capabilities & Provisioning: Build reusable infrastructure capabilities for databases, messaging, secrets, DNS, compute, monitoring, and application environments. Internal Tooling & Lifecycle Management: Develop internal tooling, APIs, and declarative workflows for infrastructure lifecycle management. Ecosystem & Tooling Integration: Improve integration between Kubernetes, CI/CD, networking, secrets management, databases, and observability systems. Architectural & Technical Design: Participate in architecture and technical design of platform and infrastructure services. Reliability & Performance Engineering: Improve reliability, scalability, and operational simplicity of production infrastructure. Troubleshooting & Incident Investigation: Investigate complex infrastructure and production issues across Linux, networking, applications, and distributed systems. Observability & Diagnostics: Improve observability, diagnostics, and troubleshooting capabilities. Cross-Functional Collaboration: Work closely with Development, DevOps, SRE, DBA, Security, and Infrastructure units. Documentation & Best Practices: Standardize common infrastructure solutions and document how they should be implemented and used. Technology Innovation & Developer Experience: Evaluate and introduce technologies that improve developer experience and infrastructure efficiency. Requirements 5+ years of hands-on experience in Infrastructure Engineering, Systems Engineering, SRE, DevOps, Production Engineering or similar roles. Strong Linux administration and troubleshooting skills. Good understanding of production infrastructure, networking and distributed systems. Hands-on experience operating Kubernetes in production . Practical experience with Infrastructure as Code and configuration management , using Terraform, Ansible or similar tools. Experience with CI/CD and infrastructure automation workflows. Programming or strong scripting skills in Python, Go, Java, Bash or similar. Experience with monitoring and observability systems. Understanding of secrets management and secure infrastructure access patterns. Experience integrating infrastructure systems through APIs. Ability to design reusable infrastructure solutions instead of one-off automation. Strong systems thinking and ability to troubleshoot complex cross-system issues. Ability and willingness to learn new infrastructure and platform technologies. Nice to Have Experience with GitOps approaches and tools. Experience with Crossplane, Kubernetes operators or controllers . Experience with Vault or similar secrets management platforms. Experience with Kafka, PostgreSQL, Redis or ClickHouse . Experience with Proxmox, VMware or public cloud platforms . Experience developing internal infrastructure tools, APIs or self-service capabilities . Soft Skills Strong analytical thinking and technical curiosity. Ownership and responsibility. Pragmatic approach to automation and engineering. Ability to work independently on ambiguous technical problems. Good communication and documentation skills. Willingness to remain hands-on and share technical knowledge. Benefits Remote work opportunity. Flexible working schedule. Interesting product. Learning opportunities. Career growth prospects.