Вакансии

-Разрабатывать AI-агентов и мультиагентные сценарии для автоматизации различных этапов PDLC. -Развивать Ассистента платформы на базе LLM.

• Участие в проектировании информационных систем искусственного интеллекта в части формирования и выполнения требований информационной безопасности; • Проектирование взаимодействия с системами обеспечения безопасности информации (IAM/IDM/PAM/DLP/SIEM и т.д.);

Задачи: — Применение методов тестирования и техник тест-дизайна. — Ведение тестовой документации. — Анализ продукта целиком, выделение критичного функционала и оценка влияния релиза. — Автоматизация тестирования и выбор кейсов для автоматизации (желательно). Требования: — Опыт тестирования от 2 лет. — Знание SQL. — Базовые знания любого объектно-ориентированного языка программирования. — Опыт ведения тестовой документации. — Системный взгляд на продукт при составлении тест-кейсов. — Умение выделять критически важный функционал и оценивать влияние релиза. — Будет плюсом опыт работы с инструментами автоматизации тестирования, Microsoft TFS / Azure DevOps Server, микросервисными приложениями, знание JMeter, Gatling и других инструментов нагрузочного тестирования. — Знакомство с технологиями Kafka, Rabbit, REST API, Postman, Swagger, ELK, Docker и Kubernetes приветствуется. Условия: — Трудоустройство по ТК РФ. — Гибкий график. — ДМС со стоматологией. — Белая заработная плата. — Удобный офис в Академгородке, Новосибирск. — Корпоративная библиотека. — Закрытая парковка.

Опыт работы от 3 лет; Знание DevOps методологии, опыт поддержки процесса разработки ПО;

We’re looking for a Senior DataOps Engineer to help operate, scale, and improve the data platforms that support Oportun’s analytics, engineering, and business teams. This role will focus on Databricks, AWS, data pipelines, databases, observability, automation, and production support.

созданием устойчивых систем и услуг с определенным уровнем обслуживания и безопасности; консультированием по вопросам проектирования безопасных информационных систем, планированием мощности, осуществлением поддержки VCenter ДКБ с решениями ИБ и SOC на ELK;

-Участие в проектировании и разработке новой платформы. -Разработка, оптимизация и сопровождение высококачественного кода, устранение дефектов и технических долгов.

- Design and build the company’s quality engineering platform. - Define testing architecture across unit, integration, contract, API, and end-to-end tests.

As a Customer Success Engineer at vCluster, you aren't just managing accounts — you are the primary architect of customer outcomes after the deal closes. Your Role and Impact Onboarding Ownership: Lead end-to-end customer onboardings — from the sales handoff through to project close.

- Проектирование архитектуры хранилищ, моделей данных и стратегий партиционирования. - Разработка DAG, кастомных операторов и интеграций на Python с использованием Apache Airflow.

Задачи: — Проектирование и поддержка микросервисов на Go — Разработка API (REST, gRPC) и интеграции со сторонними сервисами — Оптимизация запросов и схем в PostgreSQL — Работа с Kafka и Redis — Повышение надёжности и производительности, реагирование на инциденты — Unit- и интеграционные тесты, техническая документация — Code review, участие в планировании спринтов — Использование нейросетей в работе по собственному усмотрению без отдельной валидации Требования: — Коммерческий опыт от 3 лет, из них от 2 лет на Go — Уверенное владение PostgreSQL, понимание оптимизации запросов — Знание Kafka, Docker, базовое управление Kubernetes — Опыт с микросервисами: логирование, трассировка, метрики — Владение Linux, Git, Bash — Культура тестирования кода — Будет плюсом опыт с ClickHouse, RabbitMQ, Prometheus/Grafana, OpenTelemetry, разработка API Gateway Условия: — Зарплата от 350 000 ₽ до вычета налогов, выплаты два раза в месяц — Полная занятость, график 5/2 — Оформление по ТК РФ — Без переработок — Техника на выбор — ДМС — Обучение за счёт компании — Премии и пересмотр зарплаты

As a Distributed Systems Engineer at Ritual, you'll be instrumental in building and scaling our heterogeneous blockchain infrastructure. Design and implement distributed systems components for Ritual's heterogeneous compute network.

Компания «Top Selection» ищет хорошего специалиста на вакансию « Full-stack разработчик на Go».

Подготовкой математического ядра для сервисов, связанных с поиском на Фарпосте. Помогать улучшать инфраструктуру и внедрять современные инженерные практики для наших сервисов.

Требования: Архитектура highload-сервисов: Опыт проектирования высоконагруженных распределённых систем: горизонтальное масштабирование, отказоустойчивость, балансировка нагрузки, кэширование, очереди, rate limiting, graceful degradation.

Location: Prague; Limassol; United Kingdom - Remote Workplace: remote The Senior Director, Product Management leads the product team for Azul Prime and is accountable for Prime’s growth. Prime is Azul’s high-performance JVM, and Optimizer Hub, the component that moves JIT compilation and warm-up off the JVMs and into a shared service running in the customer’s Kubernetes environment, is part of it. Prime wins when customers run Java at scale and care about latency, warm-up, and cloud cost. You set Prime’s direction, run the product managers who work on it, and answer to the CPO, CEO, CRO, and SVP of Engineering for the results. This is a player-coach role. You manage a team, and you still own the decisions on strategy, pricing, and the hardest customer conversations. What You'll Own Outcomes. You own whether Prime succeeds or fails in the market. New business, pipeline, pilot-to-production conversion, expansion, renewal, and retention on Prime are your numbers, not just the field’s. You define what success looks like, instrument it, report it honestly when it is bad, and change the product or the plan when the data says the strategy is wrong. Strategy. Set the multi-year direction for Prime: which segments and workloads it wins, what to build versus partner for, and how it fits with Optimizer Hub, Azul Core, Intelligence Cloud, and Payara. Be explicit about what customers compare Prime against, including other JVM vendors, OpenJDK builds, and simply buying more cloud capacity. You own the thesis and you are accountable for whether it holds up. Executive partnership. Report to the CPO and work directly with the CEO, CRO, and CTO. Bring strategy, roadmap, and pricing decisions to the leadership team, argue for them with data, and change your mind in public when the evidence says you should. This is a visible role with real exposure. Go-to-market. Build and run the Prime go-to-market motion with sales, marketing, and customer success: who the buyer is, which accounts to target, what the pitch is, how pilots are structured, and what makes them convert. Work with the Prime sales specialists and field leadership on target accounts, qualification, and deal strategy. Join strategic customer and prospect calls yourself, and keep a clear, evidence-based view of why Prime deals are won, lost, and stalled. Roadmap. Translate strategy into a sequenced, credible roadmap, and make the trade-offs explicit rather than accidental. Build alignment across engineering, sales, and marketing around it, and inspire the teams to deliver it. Communicate it internally and to customers, hold the line on scope, and keep a heavy bias for action. Pricing and packaging. Own how Prime is priced, packaged, and metered, including how Optimizer Hub is packaged as part of it. Prime makes customers’ fleets more efficient, which can shrink the very footprint the price is based on, so the model has to account for that. You build the models, pressure-test them with the field, and work with finance and sales to get them approved and into market. Team leadership. Manage, develop, and hire the product managers on Prime. Give each PM a clear area to own and hold them to outcomes, not requirements. Set the standard for how the team works: written strategy and decisions, customer evidence behind every roadmap call, and AI tools used in daily product work. Inbound product management. Make sure the team works with engineering beyond writing requirements: in the sprints, in design reviews, and in the implementation trade-offs. Customer requirement sessions, customer-facing technical documentation, and the operator experience of installing, sizing, and running Optimizer Hub on Kubernetes all sit with your team. Outbound product management. Partner with marketing on positioning, launches, sales enablement, and public-facing content. Run competitive and market research. Make sure the Prime story lands with developers, platform teams, and the executives who sign. Technical credibility. Hold your own with the engineering teams. You understand JVM architecture and principles of operation, JIT compilation, garbage collection, and warm-up in particular, well enough that engineers treat you as a peer rather than a requirements conduit, and a customer’s platform engineers and CTO do too. What You'll Bring (aka Experience, Skills, Education) Required 15+ years in engineering and/or product roles, with a strong track record of launching and scaling products to revenue. 10+ years in product management, including owning a product or product line end to end: strategy through launch through revenue. 5+ years managing teams, including hiring, developing, and managing product managers. Track record shipping enterprise infrastructure or developer software sold to platform and engineering teams, such as language runtimes, application performance, observability, or cloud cost optimization. Ability to develop a deep working knowledge of JVM architecture and operation: JIT compilation, garbage collection, and warm-up. Demonstrated ownership of pricing and packaging for a technical product, including the cross-functional work of getting a model approved and into market. Experience building a go-to-market motion with sales: working enterprise deals, and understanding DevOps engineers, platform engineers, and developers as the key influencers in a sales cycle. Experience conducting market and competitor research with focus on product impacts and positioning. Experience directly interacting with customers and prospects - building customer relationships, discussing roadmap and strategy and conducting customer interviews Strong domain knowledge of public cloud (AWS, Azure, GCP) and Kubernetes. Fluency with AI tools and experience operating in an AI-first product management organization. You use them in your daily product work and have a view on where they help and where they don’t. Excellent written and verbal communication in English, equally effective with an engineer and with a Fortune 100 CIO. Comfortable in a fully remote, async, multi-time-zone setup. Self-directed, and a strong writer, because writing is how decisions get made here. Comfortable in a startup-shaped environment where bringing order to chaos is part of the job. Nice to have Hands-on software or quality engineering background: you have written code and debugged production systems. Experience with open source communities and licensing. Experience taking a product from early traction to a durable revenue line. Experience leading across more than one product at once, especially products at different stages or sold through different motions. Experience with infrastructure software that customers deploy and operate themselves, not just SaaS. Working knowledge of Java and Java development tooling. Education Bachelor’s degree in a related field or equivalent work experience. An advanced degree and/or relevant certifications are nice to have, but not required. Location This can be a fully remote role, ideally be based in one of Azul's European locations such as Prague, Czech Republic or Limassol, Cyprus, OR any other location in Europe or the EU. What we Offer ·         Comprehensive compensation and healthcare packages ·         Referral Program ·         Work-life balance, remote-first, paid time off, company shutdown, holidays ·         Work with top experts worldwide whom contribute to the Java ecosystem   Our Culture & Values   ·         Maniacal Customer Focus ·         Innovation & Excellence ·         Initiative & Courage ·         Impact & Influence ·         Integrity & Transparency ·         Diversity, Inclusion & Teamwork   Employment at Azul is contingent upon the completion of reference and background checks.

Location: San Francisco Perplexity is seeking software engineers to join our Training Infrastructure team. We’re responsible for the large-scale RL and agent evaluation platforms that enable Perplexity to train state-of-the-art models and optimize agent harnesses. We are full-stack engineers with a broad remit. If you join us, you’ll build the distributed systems that orchestrate AI workloads across global-scale compute infrastructure. You’ll also define novel user and agent interfaces for designing, managing, and launching experiments. You’ll create tools that make experiment results legible to humans and agents alike, enabling everything from ad-hoc experiment retrospectives to closed-loop autoresearch. And much more! A strong candidate will possess both experience and passion for solving difficult problems at the intersection of AI, distributed systems, and research acceleration. QUALIFICATIONS - 2+ years of experience developing and shipping distributed systems for compute-intensive workloads, with a focus on reliability, scalability, and performance. - Proficiency in a general-purpose backend language such as Python, Rust, C++, or Go, and experience with cloud infrastructure and container orchestration, such as AWS and Kubernetes. - Familiarity with reinforcement learning (RL), agent evaluation, or ML infrastructure, and an interest in building systems that accelerate experimentation and model development. - BS, MS, or PhD in Computer Science, Engineering, or a related field, or equivalent practical experience. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.

Location: San Francisco; Seattle; New York City; Toronto PERPLEXITY API PLATFORM Perplexity innovates at the frontier of AI infrastructure, search, and orchestration to serve the world's most discerning users. The Perplexity API Platform brings our technology to the world's most discerning developers. From exabyte-scale knowledge indexes to codegen-first agent runtimes, the building blocks behind Perplexity's applications are some of the most battle-tested AI systems in the industry. We believe these same building blocks can and should power the aspirations of builders everywhere. It's one thing to solve planet-scale retrieval, long-horizon orchestration, and other foundational AI challenges within a single product ecosystem. The true measure of success is to turn those solutions into elegant APIs that delight developers and agents alike. Our API Platform delivers frontier intelligence to thousands of customers: startups, trillion-dollar enterprises, U.S. and allied governments, and everyone in between. We've achieved incredible scale, yet we're just getting started. Join us to build tools for curious minds. ABOUT THIS ROLE Perplexity is seeking strong engineers with a passion for delivering frontier intelligence and infrastructure to developers. Our company builds technology that reshapes how people search, reason, and interact with the world around them. Week after week, we observe increasing demand for programmatic interfaces to that technology. The API Platform engineering team is charged with designing, implementing, and scaling these interfaces. As a member of our team, you'll work on an eclectic portfolio spanning distributed systems, performance optimization, agent orchestration, and frontier topics that often change with each passing month. Throughout this work, you'll prioritize great developer and agent experience alike. You'll also define technical strategy for how we scale to meet compounding growth exponentials (number of customers, agents per customer, compute/retrieval per agent, etc.). KEY RESPONSIBILITIES - Design, build, and operate mission-critical APIs that provide our customers the building blocks for frontier intelligence. - Own and evolve the API gateway and routing layer: authentication, authorization, rate limiting and quotas, usage metering, and request routing across heterogeneous upstream services. - Build the paved road for API services: standardized service scaffolding, container builds, CI/CD, Kubernetes and Helm deployment, and progressive rollouts with fast rollback, so a new API product goes from idea to production in days, not weeks. - Build API governance into the platform: contract-first schemas, breaking-change detection in CI, versioning and deprecation workflows, and SDKs and documentation generated from a single source of truth. - Unify cross-cutting capabilities (billing and usage, rate limiting, organization and identity settings, analytics and observability) so every API product gets them by default instead of rebuilding them. - Ensure low latency and high throughput through aggressive performance optimization (including on upstream systems). - Harden system security and reliability across heterogeneous compute environments, and operate what you build: SLOs, on-call, and incident response. - Collaborate across teams to bring novel frontier capabilities into the API Platform, and partner with infrastructure teams on compute, networking, secrets, and security. - Continually reimagine the customer needs of tomorrow (and the architectures to serve those needs), while faithfully serving the customer workloads of today. - Uphold engineering excellence through design reviews, code quality, and internal documentation. QUALIFICATIONS - 5+ years of backend engineering experience with Python, Go, or Rust, including significant time building platforms or infrastructure used by other engineering teams. - Strong understanding of high-traffic API design: schema evolution & versioning, idempotency, authentication patterns, rate limiting, and performance tuning. - Hands-on experience building and operating API gateways, reverse proxies, or routing layers: authentication and authorization, rate limiting and quotas, request routing, traffic shaping, and per-request observability. - Experience building API governance tooling: contract-first API design, breaking-change detection and API linting in CI, versioning and deprecation workflows, and SDKs and documentation generated from the contract. - Platform depth across the build and deploy path: you have owned CI/CD pipelines, container builds and base images, infrastructure as code, and progressive delivery (canary or blue-green) on a major cloud. - A track record of owning a platform end to end: identifying the need, designing it, aligning the teams that depend on it, shipping it, and operating it, while raising the engineering bar for the teams building on it. - Strong customer empathy and product sense, ensuring the APIs you build are ergonomic, well-documented, and easy to adopt for developers and agents alike. Strong plus: - Experience with modern AI APIs (including latency tuning, streaming, model orchestration, emerging technical standards). - Usage-based billing and metering systems, multi-tenant organization and identity models, and usage analytics pipelines. - Observability for API platforms: structured logging pipelines, metrics, tracing, and SLO tooling.