Вакансии

Разрабатывать и дорабатывать backend-сервисы по ТЗ от аналитиков и функциональных консультантов. Писать unit-тесты (обязательное требование).

Задачи: — Работа в agile команде — Разработка расчетной системы с использованием микросервисного подхода, PostgreSQL, OpenSearch, интеграций Kafka / REST, frontend API — Код ревью — Решение проблем производительности — Интенсивное взаимодействие с командой: аналитиками, тестировщиками, другими разработчиками, frontend — Взаимодействие с другими командами по вопросам интеграций Требования: — Опыт коммерческой разработки на Java 5+ лет — Уверенное владение Java 21, Spring Boot 3.x, Spring Security, Spring Cloud — Уверенная работа с PostgreSQL, Liquibase, Hibernate/JPA, MapStruct/Lombok — Уверенный опыт работы с Kafka: consumer groups, ретраи/DLQ, идемпотентная обработка, понимание семантики доставки — REST-интеграции: серверные API и клиентские вызовы (OpenFeign / RestClient), обработка ошибок, таймауты и ретраи — Опыт unit- и интеграционного тестирования: JUnit, Testcontainers, тесты API и Kafka-интеграций — Git, Maven (мультимодульные проекты), Docker, Kubernetes Большим плюсом будет: — Понимание уровней изоляции транзакций PostgreSQL, опыт анализа планов выполнения запросов (EXPLAIN/EXPLAIN ANALYZE) и оптимизации запросов по результатам — Опыт диагностики и снижения потребления памяти JVM (heap, GC, утечки, размер объектов/выборки из БД) — Опыт работы с метриками (Micrometer/Prometheus), системами трассировки запросов (OpenTelemetry/Jaeger), ELK-стеком — Продвинутый опыт Kafka: проектирование топиков (партиции, репликация, retention), настройка consumer/producer, consumer lag, разбор проблем производительности — Опыт разработки сервисов под несколько реплик в Kubernetes: race conditions, идемпотентность, распределённые локи (ShedLock) Условия: — Удаленный формат — Белая заработная плата, оформление согласно Трудовому кодексу РФ — 3 месяца плавного погружения под присмотром HR — Поддержка: IT-отсрочка и консультации HR/юристов — Прозрачные процессы и открытая коммуникация — Работа на лучшем оборудовании без логирования времени, с фокусом на доверии и результате — ДМС: медицинское страхование за счет компании — Индивидуальный план обучения, посещение конференций и митапов, поддержка в развитии карьеры — Возможность выступать на конференциях, митапах, публикация статей — Ежеквартальное обновление корпоративных скидок — Организация вечеринок оффлайн и онлайн, предоставление мерча, проведение конкурсов и челленджей.

Location: Москва Нам нужен опытный DevOps-инженер, который сможет построить и автоматизировать всю инфраструктуру: от развертывания виртуальных машин до отказоустойчивых CI/CD-конвейеров. Обязанности ### Вам предстоит: * проектировать, разворачивать и поддерживать облачную/on-prem инфраструктуру (AWS/GCP/Azure или другие) * настраивать виртуальные машины, кластеры (Kubernetes, OpenShift), балансировку нагрузки (HAProxy, LBOSSE), мониторинг и логирование * создавать и оптимизировать CI/CD-пайплайны (GitLab CI/CD, Jenkins и др.), поддерживать релизный процесс, DevSecOps * автоматизировать процессы с помощью Terraform, Ansible или аналогичных инструментов * обеспечивать безопасность инфраструктуры (IAM, VPC, Secrets Management, сетевые политики) * настраивать мониторинг и алертинг (Prometheus, Grafana, ELK) * работать с базами данных, бэкапами, disaster recovery * оптимизировать производительность и стоимость инфраструктуры. Требования ### Что для нас важно: * опыт от 5 лет в DevOps/SRE/Infrastructure * глубокие знания Linux, сетей, безопасности * опыт с облачными провайдерами  * опыт с контейнерами и оркестрацией (Docker, k8s)  * автоматизация CI/CD (GitLab CI, Jenkins) * обязательный опыт настройки nginx * умение работать с нуля и принимать архитектурные решения * опыт в базах данных PostgreSQL * опыт работы с IMDG (Ignite, Hazelcast) * знание Python/Bash/Go для автоматизации * понимание назначения и принципа работы брокеров сообщений (kafka/rabbitmq или других), опыт установки и настройки * инструментальное владение AI для анализа, генерации и автоматизации. Условия ### Мы предлагаем: * комфортный современный офис * 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.

Location: Canada, Waterloo, ON Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Sr. Software Development Engineer In Test, ML/AI At SIE, we believe in making play safer for everyone. Within our Information Security team, we protect our people, platforms, and products with smart, scalable, and thoughtful solutions. Our mission is to provide clear, actionable risk and security insights that guide the business and enable amazing player experiences. We’re building a team that thrives on collaboration, curiosity, and delivering real value. Come help us make a difference! Overview We are hiring a Sr Software Engineer in Test specializing in ML/AI quality, including automation for model evaluation, LLM-assisted test generation, and validation of AI-powered workflows. The role includes guiding quality strategy and developing automation frameworks. You will also manage implementation for complex, cross-functional, machine learning-powered products and services. This role involves more than test development. You will lead quality initiatives from start to finish, ensuring teams stay synchronized, dependencies are managed, and releases are delivered confidently. You will work closely with ML, engineering, product, and infrastructure teams. You will shape how quality is built, monitored, and expanded while leading embedded QE efforts within projects. What you’ll do Define and complete quality strategies, test plans, and automation coverage for ML-powered services and platform components. Use LLMs and other AI-assisted techniques to generate, expand, and maintain high-value test cases for ML-powered workflows. Design scenario-based test suites for AI features, including adversarial prompts, edge cases, ambiguous inputs, and underrepresented user scenarios. Lead QE efforts for multi-functional projects, driving risk assessment, dependency management, and release readiness. Design, develop, and maintain scalable automation frameworks for backend services, APIs, and ML inference systems using Python and/or Java. Build automated validation for ML and LLM outputs, including ranking behavior, score distributions, prompt/response quality, hallucination indicators, and probabilistic model evaluation. Debug test failures, service anomalies, model inconsistencies, and AI behavior regressions to identify root causes and drive resolution. Perform functional, integration, regression, API, end-to-end, performance, and reliability testing for distributed systems. Improve automation reliability, reduce flakiness, and optimize execution efficiency. Partner with engineering and ML teams to integrate automated testing into CI/CD pipelines and release workflows. Collaborate across teams to establish scalable quality standards, tooling, and guidelines. Required qualifications Bachelor’s degree in Computer Science or equivalent 5+ years of experience as an SDET or QE engineer focused on backend and distributed systems. Experience using LLMs to generate, transform, and prioritize test cases for AI-powered experiences. Experience with AI evaluation tooling, prompt evaluation frameworks, model monitoring, or human-in-the-loop review workflows. Strong experience testing RESTful APIs, microservices, and distributed architectures. Proficiency in Python, Java, JS or similar languages for automation development. Hands-on experience with automation frameworks such as pytest, JUnit, Selenium, Playwright, Cypress, or Appium. Experience with CI/CD systems and test pipelines (Jenkins, GitHub Actions, etc.). Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker). Familiarity with databases, monitoring, and observability tools. Strong understanding of SDLC, Agile methodologies, and release processes. Excellent problem-solving, debugging, and communication skills. Preferred qualifications Experience validating ML outputs using statistical analysis or scenario-based testing approaches. Familiarity with ML infrastructure, data pipelines, or model-serving platforms (Seldon, KServe, Ray Serve, etc.). Prior work in content moderation ML, security, fraud detection, or adversarial ML. Experience testing high-scale, low-latency online services. Experience with Databricks or similar ML platform tooling. Familiarity with Node.js, React, or modern frontend technologies. Experience testing mobile, console, or other non-PC platforms. What sets you apart Strong combination of automation engineering and delivery ownership. Ability to drive quality across complex cross-functional initiatives. Practical understanding of how to test non-deterministic AI systems and separate model variance from quality regressions. Proven risk management and dependency coordination skills. Ability to influence engineering teams and promote quality guidelines. Passion for scalable, reliable, and maintainable automation systems. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $114,900 — $172,300 CAD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

As a Solutions Engineer at Onebrief, you work where mission, engineering, and compliance meet. You'll own technical solution design and deployment readiness, translating customer requirements into secure, scalable deployment architectures.

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Some of the world's largest companies and their law firms use Harvey’s AI capabilities to deliver world-class client services at unprecedented scale and efficiency. Harvey allows high-performing professionals to gain deep domain knowledge faster, understand the big picture, and tackle more complex challenges in less time. Security is at the heart of what we do. Our customers trust us with their most sensitive data, and we take that responsibility seriously. As part of our team, you’ll help us maintain a secure, trustworthy, and compliant platform—an essential foundation for everything we build. As a Staff Infrastructure Security Engineer, you’ll set the technical direction for secure-by-default infrastructure security across Harvey’s platform, establishing the patterns and standards the broader engineering organization builds on. This includes designing and implementing processes and technologies for least privilege, isolating different components, managing attack surface, and implementing layers of tenant isolation on our multi-tenant SaaS offering. You’ll also create frameworks and repeatable patterns that enable our research and engineering teams to move quickly and independently—without sacrificing security. Our security program at Harvey is growing fast, so this is an incredible opportunity to get in at the beginning and shape the future of what Security at Harvey looks like. This team approaches security with an engineering-first mindset with our customers front and center to everything we do. WHAT YOU'LL DO - Incorporate secure design principles into our cloud architecture. - Establish reusable security patterns, standards, and guardrails that enable product and platform teams to build securely by default - Develop isolation mechanisms (e.g. sandboxing) in collaboration with our product engineering team - Review security-critical configuration changes and act as Codeowner for security-critical parts of our cloud configurations (everything is IaC) - Partner with Engineering and Product teams to: - Manage risks and vulnerabilities in our Cloud environment. - Translate security requirements into concrete engineering investments - Define infrastructure security architecture and multi-quarter roadmaps - Mentor and develop other security engineers on the team, raising the overall technical bar WHAT YOU HAVE - 8+ years experience in Security Engineering and/or Software Engineering - Demonstrated experience writing high-quality software, building production-grade infrastructure and raising the security bar across engineering teams. - Strong fundamentals in networking, operating systems, and cryptographic protocols - In-depth knowledge of Kubernetes, common misconfigurations, and privilege escalation vectors - Demonstrated ability to find weaknesses (e.g. privilege escalation) in real-world cloud environments - Experience applying security best practices in cloud environments (AWS, Azure, or Google Cloud) - Track record of driving cross-functional security initiatives and influencing engineering decisions across teams - Experience setting security standards and best practices at an organizational scale - (No experience with generative AI or legal required) BONUS - Familiarity with large-scale Infrastructure as Code (IaC) deployments - Familiarity with Kubernetes Admission Controllers and policy enforcement - Exposure to multi-cloud environments COMPENSATION RANGE $231,000 - $340,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-NP1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Some of the world's largest companies and their law firms use Harvey’s AI capabilities to deliver world-class client services at unprecedented scale and efficiency. Harvey allows high-performing professionals to gain deep domain knowledge faster, understand the big picture, and tackle more complex challenges in less time. Security is at the heart of what we do. Our customers trust us with their most sensitive data, and we take that responsibility seriously. As part of our team, you’ll help us maintain a secure, trustworthy, and compliant platform—an essential foundation for everything we build. As a Staff Infrastructure Security Engineer, you’ll set the technical direction for secure-by-default infrastructure security across Harvey’s platform, establishing the patterns and standards the broader engineering organization builds on. This includes designing and implementing processes and technologies for least privilege, isolating different components, managing attack surface, and implementing layers of tenant isolation on our multi-tenant SaaS offering. You’ll also create frameworks and repeatable patterns that enable our research and engineering teams to move quickly and independently—without sacrificing security. Our security program at Harvey is growing fast, so this is an incredible opportunity to get in at the beginning and shape the future of what Security at Harvey looks like. This team approaches security with an engineering-first mindset with our customers front and center to everything we do. WHAT YOU'LL DO - Incorporate secure design principles into our cloud architecture. - Establish reusable security patterns, standards, and guardrails that enable product and platform teams to build securely by default - Develop isolation mechanisms (e.g. sandboxing) in collaboration with our product engineering team - Review security-critical configuration changes and act as Codeowner for security-critical parts of our cloud configurations (everything is IaC) - Partner with Engineering and Product teams to: - Manage risks and vulnerabilities in our Cloud environment. - Translate security requirements into concrete engineering investments - Define infrastructure security architecture and multi-quarter roadmaps - Mentor and develop other security engineers on the team, raising the overall technical bar WHAT YOU HAVE - 8+ years experience in Security Engineering and/or Software Engineering - Demonstrated experience writing high-quality software, building production-grade infrastructure and raising the security bar across engineering teams. - Strong fundamentals in networking, operating systems, and cryptographic protocols - In-depth knowledge of Kubernetes, common misconfigurations, and privilege escalation vectors - Demonstrated ability to find weaknesses (e.g. privilege escalation) in real-world cloud environments - Experience applying security best practices in cloud environments (AWS, Azure, or Google Cloud) - Track record of driving cross-functional security initiatives and influencing engineering decisions across teams - Experience setting security standards and best practices at an organizational scale - (No experience with generative AI or legal required) BONUS - Familiarity with large-scale Infrastructure as Code (IaC) deployments - Familiarity with Kubernetes Admission Controllers and policy enforcement - Exposure to multi-cloud environments COMPENSATION RANGE $231,000 - $340,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-NP1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU'LL DO As a Software Engineer on Sierra’s Cloud Infrastructure team, you’ll own the foundation that every Sierra customer runs on. That includes our multi-tenant environments, where most of our customers and data live, and our isolated single-tenant environments for highly regulated enterprises. Sierra is expanding quickly across AWS and GCP, in regions across North America, Europe, and Asia-Pacific. We expect to roughly double our number of deployments over the next year. The work is very visible. Our deployments support the relationship with major customers, so you’ll see directly how your infrastructure affects customers and the business. Our challenges keep evolving, from scaling, reliability, and new compliance and regulations. ON THIS TEAM, YOU WILL: - Design, build, and operate Sierra’s cloud infrastructure across AWS and GCP (and soon Azure) using Terraform and Kubernetes. - Simplify and standardize our deployments so that adding a new region or environment is repeatable and predictable. We want to treat deployments like cattle, not pets. - Stand up and operate new multi-tenant regions and single-tenant environments for customers with strict regulatory or isolation needs. - Help build and run compliant environments, including our FedRAMP deployment. - Own and improve deploys and releases across our fleet, investing in tooling and developer experience so engineers can ship quickly and safely. - Build security guardrails that give enterprise customers confidence in our shared multi-tenant environment. - Work with our BYOC (Bring Your Own Cloud) team to make Sierra easy to deploy into customers’ own cloud environments. - Drive reliability across the platform through observability, incident response, root cause analysis, and postmortems. - Write production code, mostly in Go, to automate infrastructure and replace manual work with durable systems. WHAT YOU'LL BRING - 6+ years of hands-on software or infrastructure engineering experience, including building and operating production systems at scale. - Broad infrastructure experience on at least one major cloud (AWS, GCP, or Azure). Breadth and fundamentals matter more than expertise in one specific cloud. - Deep expertise in at least one layer of the stack, such as compute, orchestration, networking, or deploys, plus a real interest in owning the layers next to it. - Hands-on experience with infrastructure as code (Terraform preferred) and container orchestration (Kubernetes). - Strong coding skills and a bias toward automation and tooling. Go experience is a plus. - A pragmatic, scrappy approach. You can start with a rough prototype and evolve it into production ready. - Curiosity and flexibility. You adapt to new clouds, tools, and customer requirements instead of forcing every problem into one familiar pattern. - A degree in Computer Science or a related field, or equivalent professional experience. EVEN BETTER - Experience running infrastructure across multiple clouds and many regions or environments. - Experience with compliance-driven environments (FedRAMP, SOC 2, HIPAA, or financial services). - Experience building deploy systems, CI/CD, or internal developer platforms. - Experience deploying software into customer-managed cloud environments. - An SRE background, or experience leading reliability and incident management programs. - Experience with distributed databases such as DynamoDB or Spanner. - Experience at a fast-paced startup or on a small infrastructure team with broad scope. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: Europe or US Workplace: Remote About the team The Control Plane Platform team is building the shared foundation that every product in ClickHouse Cloud is built and shipped on. We give ClickHouse engineering teams one place to own and deploy their product, remove the overhead of rebuilding common plumbing, and keep the customer experience consistent as the number of integrating teams grows. The team owns API gateways and API standards, shared platform services, deployment and infrastructure patterns, testing and CI, local developer experience and Control Plane observability. About the role We’re looking for an Engineering Manager to lead our Platform team. This is a high-impact, high-trust role at the center of our Cloud product, combining people leadership, technical direction, product thinking, and operational ownership while maintaining the reliability customers expect. You’ll work hand-in-hand with Product, Infrastructure, Security, Support, and engineering teams across ClickHouse. This role goes beyond engineering leadership. Together with your team, you’ll help shape how new products and teams will integrate and deploy their applications in ClickHouse Cloud. What You’ll Do - Lead, coach, and grow a high-performing team - recruit to a high bar, set crisp expectations, give direct feedback and career development, and manage performance — while fostering a healthy, inclusive environment built on empathy, psychological safety, trust, and a high technical bar. - Own outcomes across the platform surface: API gateways and API standards, shared platform services (event bus, notifications, feature flags, websockets, audit records), deployment and infrastructure patterns, CI and testing, local developer experience, disaster recovery, and Control Plane observability. - Treat the integrating teams as your customers and measure success by their delivery velocity and adoption of the platform, not only by what your team ships. - Guide architecture and help senior engineers make explicit, sound tradeoffs. land cross-cutting migrations, deprecations, and contract changes across teams without stalling product delivery. - Jump into designs and code for complex areas - gateway routing and auth/RBAC enforcement, spec-driven code generation, event delivery semantics and idempotency, multi-region rollout safety. - Build the culture of operational excellence: Own SLOs, reliability, on-call quality, and cost-efficiency for k8s-hosted, multi-tenant services across cloud regions. - Systematize support, reduce toil, and build self-serve/auto-healing capabilities - golden-path templates and generators, auto-healing, and documentation that gets a new team integrated in days rather than weeks. - Shape the platform vision, turn it into a roadmap, sequence bets for business impact, and ship fast with tight feedback loops — including writing the RFCs that build cross-org consensus before big changes land What you bring - 8+ years in software engineering and 3+ years managing software engineers with a track record of hiring, developing, and retaining strong talent. - Experience leading a platform or infrastructure team whose customers are other engineering teams — you've driven adoption and cross-org migrations through influence and good tooling rather than mandate. - Experience leading distributed global teams, fostering an inclusive and autonomous culture, and creating clarity across time zones. - Experience building scalable, highly available, and secure cloud-based infrastructure in AWS (EKS, SQS, DocumentDB, Redis, PostgreSQL, Lambdas) with infrastructure as code (Terraform, Helm) and progressive delivery (Argo Rollouts or similar). - Experience with containerization and orchestration (Docker, Kubernetes), including patterns for hosting many independently deployed applications in a shared cluster. - Familiarity with API platform work: OpenAPI-driven contracts, API gateways, and the shared concerns they centralize — authentication, RBAC, rate limiting, versioning, and deprecation. - A track record of decomposing a monolith into independently deployable services without stalling product delivery. - Technical credibility to engage deeply in architecture and incidents without owning daily implementation. - Hands-on: you still enjoy diving into code/designs for complex or critical areas, reviewing code, and guiding via feedback. - Strong execution judgment across ambiguity, parallel workstreams, risk, and long-term system health. Nice to have - Experience with large TypeScript/Node monorepos and the developer-experience problems that come with them: CI scale and flakiness, build and test times, local development environments, and code generation from specs. - Designed and implemented strategies for load balancing, auto-scaling, disaster recovery, and failover for cloud environments. - Experience building CI/CD at scale - Experience with internal developer platforms: service catalogs, golden-path templates, and self-service app scaffolding. - Proficiency with frontend frameworks (React). - Experience making APIs consumable by AI agents — MCP servers, CLIs, or skills generated from API specs. - Experience with ClickHouse - Previous experience in developing analytics or data-intensive applications. Why This Role - Shape how all feature teams in ClickHouse Cloud develop and integrate with each other - Operate with ownership, autonomy, and speed while keeping the company lean. - Lead a technical team where correctness, performance, reliability, and developer experience all matter. 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 eligible team member who joins our company receives equity. - 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 https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true 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 https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Office Based - London, UK This is an opportunity to kickstart your career by joining Canonical. You will be working from our Canonical London Office and will be accountable for delivering technical support to our employees and customers, as well as facilitating AV support for office conferences and events. From problem qualification to full resolution, you will own and manage your cases. When needed, you will transfer your cases to your colleagues or involve senior engineers. If you have an affinity for open source development and a passion for technology, then you will enjoy working with some of the best people in the industry at Canonical. Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1100+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. While our engineers regularly solve deeply interesting, complex technical problems - from triaging cloud environments to root-cause analysis on unseen Linux kernel crashes - this is fundamentally a role rooted in human connection. You will act as a trusted peer and technical guide to external engineering teams, translating intricate open-source challenges into clear, empathetic solutions. We are rapidly expanding and looking for brilliant problem solvers who are just as passionate about building strong, collaborative relationships with customers as they are about the next generation of Canonical solutions. Location: Office Based in London, England. The role entails Empathetic Engagement: Partner directly with customers across remote sessions, ticketing,, and live conversations to deeply understand and resolve their technical roadblocks. Collaborative Problem Solving: Work hand-in-hand with internal engineering teams and regional peer groups to bridge the gap between complex code fixes and real-world customer satisfaction. True Ownership: Manage your support cases with a strong sense of personal integrity, ensuring commitments are honored and customer expectations are communicated transparently and predictably. Ubuntu Lifecycle Guidance: Develop a rich understanding of the Ubuntu development process, empowering you to give customers clear, human context regarding timelines for engineering fixes. Knowledge Advocacy: Author and maintain accessible knowledge base articles, ensuring lessons learned are shared openly to elevate the entire open-source community. Operational Reliability: Participate in a regular weekend working rotation to maintain seamless, high-touch continuity of care for our global partners. What are we looking for in you Communication Excellence: Exceptional written and spoken English, with a natural ability to convey technical complexity clearly, warmly, and compellingly. The Soft-Skill Edge: A genuine passion for helping people, paired with the emotional intelligence to navigate high-stakes technical situations with composure and empathy. Academic Dedication: Exceptional academic track record from both high school and university. Educational Background: An undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path. On-Site Technical Leadership: Based in our state-of-the-art London, UK office, you will serve as a key technical support resource for our local teams and employees. Driven Mindset: A proven track record of going above-and-beyond expectations to deliver meaningful, outstanding results for teams or customers. Linux & Cloud Familiarity: Practical, hands-on experience supporting Linux systems, with an exposure to three or more of the following: Virtualization & Cloud: Using KVM or OpenStack. Containers: primarily Docker, LXD/LXC, or Kubernetes. Storage Ecosystems: Block, object, and network storage technologies. System Networking: Navigating bonding, firewalls, bridging, switching, or MTU tuning. Analytical Curiosity: A strong troubleshooting mindset—the ability to look into stack traces or logs, identify OS/application-level bugs, and strategically guide the customer through next steps. Development Fundamentals: Basic programming logic in any language to help parse code and collaborate effectively with Canonical Engineering teams. What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Location: Office Based - London, UK This is an opportunity for a prospective Linux Engineer/Administrator with a passion for Linux and Customer Success to build a career with Canonical and support the technical needs of customers leveraging Ubuntu and open source products. You will be accountable for delivering technical support to our employees and customers, as well as facilitating AV support for office conferences and events. If you have an affinity for open source development and a passion for technology, then you will enjoy working with some of the best people in the industry at Canonical. Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1100+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. While our engineers regularly solve deeply interesting, complex technical problems - from triaging cloud environments to root-cause analysis on unseen Linux kernel crashes - this is fundamentally a role rooted in human connection. You will act as a trusted peer and technical guide to external engineering teams, translating intricate open-source challenges into clear, empathetic solutions. We are rapidly expanding and looking for brilliant problem solvers who are just as passionate about building strong, collaborative relationships with customers as they are about the next generation of Canonical solutions. Location: Office Based in London, England. The role entails Empathetic Engagement: Partner directly with customers across remote sessions, ticketing,, and live conversations to deeply understand and resolve their technical roadblocks. Collaborative Problem Solving: Work hand-in-hand with internal engineering teams and regional peer groups to bridge the gap between complex code fixes and real-world customer satisfaction. True Ownership: Manage your support cases with a strong sense of personal integrity, ensuring commitments are honored and customer expectations are communicated transparently and predictably. Ubuntu Lifecycle Guidance: Develop a rich understanding of the Ubuntu development process, empowering you to give customers clear, human context regarding timelines for engineering fixes. Knowledge Advocacy: Author and maintain accessible knowledge base articles, ensuring lessons learned are shared openly to elevate the entire open-source community. Operational Reliability: Participate in a regular weekend working rotation to maintain seamless, high-touch continuity of care for our global partners. What are we looking for in you Communication Excellence: Exceptional written and spoken English, with a natural ability to convey technical complexity clearly, warmly, and compellingly. The Soft-Skill Edge: A genuine passion for helping people, paired with the emotional intelligence to navigate high-stakes technical situations with composure and empathy. Academic Dedication: Exceptional academic track record from both high school and university. Educational Background: An undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path. On-Site Technical Leadership: Based in our state-of-the-art London, UK office, you will serve as a key technical support resource for our local teams and employees. Driven Mindset: A proven track record of going above-and-beyond expectations to deliver meaningful, outstanding results for teams or customers. Linux & Cloud Familiarity: A solid foundation in Linux systems, demonstrated through university projects, lab work, or personal exploration, with exposure to one or more of the following: Virtualization & Cloud: Using KVM or OpenStack. Containers: primarily Docker, LXD/LXC, or Kubernetes. Storage Ecosystems: Block, object, and network storage technologies. System Networking: Navigating bonding, firewalls, bridging, switching, or MTU tuning. Analytical Curiosity: A strong troubleshooting mindset—the ability to look into stack traces or logs, identify OS/application-level bugs, and strategically guide the customer through next steps. Development Fundamentals: Basic programming logic in any language to help parse code and collaborate effectively with Canonical Engineering teams. What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

webAI is looking for a Senior DevOps Engineer to design, build, and scale secure infrastructure for AI workloads across cloud and edge environments.

Location: London; Belgrade Workplace: Hybrid About the role Perplexity's fraud prevention team protects our products, users, and infrastructure from fraud and abuse across the whole lifecycle: sign-up, authentication, payments, API usage, and product features. We build and operate a real-time decisioning platform together with the surrounding systems: data pipelines for detection and model training, integrations with product and payment systems, and internal tooling for investigation and response. As a software engineer on the team, you will own services end to end, from design to production operations, and work closely with fraud analysts, ML engineers, and product teams to make abuse expensive and legitimate usage frictionless. Responsibilities - Design, build, and operate high-throughput, low-latency backend services for fraud detection and prevention - Build data pipelines and real-time feature computation that power detections and ML models - Collect and process trust signals - Integrate fraud decisions into product, auth, and payment flows across Perplexity - Own reliability of production services: observability, alerting, safe rollouts, incident response - Build internal tooling for investigation, enforcement, and auditability - Partner with fraud analysts to turn new abuse patterns into production detections quickly Qualifications - 5+ years building and operating high-throughput, latency-sensitive backend systems in production - Strong systems programming skills; Rust, Go, or C++ experience preferred (we write Rust) - Hands-on experience with Kubernetes, Terraform and cloud infrastructure - Solid data fundamentals: stream/batch computations, caching and storage trade-offs - Pragmatic, ownership-driven approach: ship incrementally, measure, and make failures degrade safely Nice to have - Fraud prevention, anti-abuse, or payments-risk domain experience - Experience serving ML models in production - Client-side experience (web or mobile) for signal collection

Обязанности Написание и поддержка автотестов на Java. Проведение ручного, интеграционного и регрессионного тестирования.

Задачи и требования Разработка и поддержка автотестов на Java 17/21. Применение ООП, многопоточности, коллекций и Stream API.

Location: Toronto, Ontario Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🚀 THE ADVENTURE AHEAD Step into the driver's seat of the high-octane engine that powers Docebo’s enterprise automation platform! In this role, you will architect, build, and scale business-critical backend systems in Go and PHP that seamlessly onboard millions of users. You'll serve as the primary technical advisor and force multiplier for our product and engineering teams, solving complex automation logic while directly elevating the technical craft of those around you. If you get excited by high scale, deep architectural ownership, and making a massive impact on enterprise-grade software, your next great journey starts right here! ⚡ THE DAY-TO-DAY - Lead the Charge: Drive complex, multi-sprint technical initiatives from initial spark to seamless deployment while staying ahead of scope, dependencies, and risks. - Architect for Scale: Design and operate high-performing, resilient backend services using Go, PHP, AWS, Kubernetes, DynamoDB, PostgreSQL, and MySQL to effortlessly handle millions of users. - Write Exemplary Code: Craft clean, elegant Go code for our newest automation features while actively maintaining and leveling up our core PHP services. - Elevate the Craft: Conduct thoughtful code reviews, lead technical design discussions, write clear architectural design docs, and establish SLOs to keep our incident rates low. - Multiply Team Impact: Mentor and pair with engineers, guiding their career growth, while acting as a trusted partner to Product and Design to shape our product roadmap. - Tackle Complex Challenges: Balance long-term strategic roadmap delivery with Tier-1 customer escalations and technical debt, diving in to troubleshoot mission-critical issues across the stack. 🛠️ YOUR SUPERPOWERS - Backend Mastery: 4-8 years of software engineering experience with deep expertise in Go and performance-driven batch processing systems, ideally paired with working knowledge of PHP. - System Design Genius: Proven track record of designing, building, and operating scalable microservices, distributed systems, and domain-driven architectures at enterprise scale. - Cloud & Infrastructure Expertise: Advanced, hands-on experience with AWS, Kubernetes, infrastructure as code, and data stores like DynamoDB, PostgreSQL, and MySQL. - Reliability & Observability Guru: Deep understanding of testing strategies (unit, integration, E2E) and modern observability platforms like Datadog to manage incidents and protect long-term system health. - Strategic Force Multiplier: Outstanding ability to mentor teammates, communicate complex technical trade-offs to non-technical stakeholders, and make sound decisions under uncertainty. - Timezone Anchor: Based in Canada to deliver seamless, sustainable timezone coverage for our North American enterprise customers alongside our Italy-based engineering team. 🌟 BONUS POINTS - Cross-Stack Versatility: Strong knack for jumping into moderate complexity tasks outside your primary domain to unblock cross-functional engineering teams. - Continuous Improvement Champion: Passion for driving engineering-wide initiatives, whether standardizing deployment patterns, refining testing practices, or bringing emerging technology innovations into the fold. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: Poland Workplace: fully About the Client Our client develops white-label payment and financial software for businesses and financial service providers. Its modular platform supports payments, accounts, cards and operational workflows through APIs and integrations. Role Overview Turn AI ideas into reliable production systems with measurable business impact. You will define the architecture and roadmap for LLM-powered solutions, including agents, RAG and automated workflows. Working with skilled engineering, product and security colleagues, you will take initiatives from proof of concept to production using modern cloud infrastructure, Docker and Kubernetes. Key Responsibilities Define the AI architecture and technology roadmap in line with business objectives. Design and implement scalable AI and LLM-powered solutions, including agents and automated workflows. Develop RAG architectures, semantic search and enterprise knowledge systems. Evaluate AI models, platforms and infrastructure for performance, security and cost. Integrate AI solutions with existing APIs, backend systems and microservices. Establish standards for AI evaluation, monitoring, observability and security. Collaborate with Engineering, Product and Security teams to deliver measurable business impact. Guide AI initiatives from proof of concept to production and promote engineering best practices. Requirements 8+ years of software engineering experience, including architecture or technical leadership. Proven experience designing and deploying production-grade AI or LLM-powered systems. Strong knowledge of Generative AI, LLM APIs, RAG, embeddings and vector search. Experience with AI agents, tool calling and workflow orchestration. Strong backend architecture skills, including distributed systems, microservices and APIs. Familiarity with cloud platforms, Docker, Kubernetes and modern infrastructure. Understanding of AI evaluation, monitoring, security, privacy and data governance. Ability to balance solution quality, scalability, latency and cost. Fintech or payments experience is an advantage. Knowledge of Russian or Ukrainian is required. Ability to work remotely with reasonable overlap with Central European Time (CET). Key Soft Skills Ownership and accountability for architectural decisions and delivery. Cross-functional collaboration with engineering, product and business stakeholders. Clear communication of technical concepts and trade-offs to different audiences. Adaptability as AI technologies develop, with a focus on practical business value. What We Offer Competitive salary aligned with experience. Collaborative and transparent team culture. High-impact role in a scaling fintech company. Recognition of personal milestones and achievements. Social benefits.

Location: Cyprus Workplace: fully About the Client Our client develops white-label payment and financial software for businesses and financial service providers. Its modular platform supports payments, accounts, cards and operational workflows through APIs and integrations. Role Overview Turn AI ideas into reliable production systems with measurable business impact. You will define the architecture and roadmap for LLM-powered solutions, including agents, RAG and automated workflows. Working with skilled engineering, product and security colleagues, you will take initiatives from proof of concept to production using modern cloud infrastructure, Docker and Kubernetes. Key Responsibilities Define the AI architecture and technology roadmap in line with business objectives. Design and implement scalable AI and LLM-powered solutions, including agents and automated workflows. Develop RAG architectures, semantic search and enterprise knowledge systems. Evaluate AI models, platforms and infrastructure for performance, security and cost. Integrate AI solutions with existing APIs, backend systems and microservices. Establish standards for AI evaluation, monitoring, observability and security. Collaborate with Engineering, Product and Security teams to deliver measurable business impact. Guide AI initiatives from proof of concept to production and promote engineering best practices. Requirements 8+ years of software engineering experience, including architecture or technical leadership. Proven experience designing and deploying production-grade AI or LLM-powered systems. Strong knowledge of Generative AI, LLM APIs, RAG, embeddings and vector search. Experience with AI agents, tool calling and workflow orchestration. Strong backend architecture skills, including distributed systems, microservices and APIs. Familiarity with cloud platforms, Docker, Kubernetes and modern infrastructure. Understanding of AI evaluation, monitoring, security, privacy and data governance. Ability to balance solution quality, scalability, latency and cost. Fintech or payments experience is an advantage. Knowledge of Russian or Ukrainian is required. Ability to work remotely with reasonable overlap with Central European Time (CET). Key Soft Skills Ownership and accountability for architectural decisions and delivery. Cross-functional collaboration with engineering, product and business stakeholders. Clear communication of technical concepts and trade-offs to different audiences. Adaptability as AI technologies develop, with a focus on practical business value. What We Offer Competitive salary aligned with experience. Collaborative and transparent team culture. High-impact role in a scaling fintech company. Recognition of personal milestones and achievements. Social benefits.