Архитектура вакансии - гибрид

-Планирование стратегии coздания и проектирование архитектуры Hadoop, Cassandra. -Описание архитектуры, расчет сайзинга, защита решений на Архитектурном комитете.

Разрабатывать архитектуру и помогать заказчикам выстраивать решения под их задачи. Поддерживать коммерческую команду, предоставляя техническую экспертизу.

– Опыт управления проектами по внедрению IT-решений от 5 лет; – Понимание архитектуры AI/ML-решений, микросервисных и событийно-ориентированных архитектур, принципов построения отказоустойчивых систем.

🎯 Опыт разработки и внедрения комплексных мастерпланов жилых территорий, градостроительных концепций, опыт разработки мастерпланов территорий с ограниченным статусом, ЗОУИТ; 🎯 Желателен опыт работы на соответствующей позиции не менее 3-х лет;

Разработка концепций коммерческих и общественных интерьеров в команде. Подготовка проектной и рабочей документации в Revit: стадии П / РД, раздел АИ.

Once here you will: Work with product designers, product strategists and design researchers on 8–12+ week digital product engagements that may span from product vision and strategy to full end-to-end build. You will play a key role in turning human insights into technical architecture: data, APIs, integrations and the agentic layer.

Define decision-ready reference and target architectures for priority CIB capabilities, including capability decomposition, target building blocks, architecture principles, data and integration patterns, and transition considerations. At least 3 years of relevant experience in CIB / Wholesale Banking .

Location: Warsaw, Mazowieckie, Poland; Limassol, Cyprus; Sofia City, Bulgaria Workplace: hybrid Capital.com is building out its internal platform capabilities, and AI is a growing part of that. The role combines architectural ownership with hands-on delivery: you will design, build, deploy and operate the platform, including its infrastructure and DevOps. Reporting to the Director of Product Security, you will set up this function as its first member and make the early technical decisions that the future team will build on. As Platform Architect, you will own the architecture of the platform that more than 1,000 employees rely on, including their access to AI tools such as Anthropic Claude, OpenAI and future providers. Responsibilities: Build the AI platform architecture: the reference design for how LLM capabilities are accessed, governed, monitored, and extended across the organisation. Own every architectural decision for the AI platform, and document, justify, and stand behind each one. Evaluate and select new models, tools, and frameworks as the market moves. Deliver the platform as a service, so teams can move their agents into governed cloud infrastructure. Govern Anthropic (Claude API, Claude Code, Anthropic Enterprise), OpenAI, and future providers, covering API access controls, credential management, model version policy, cost allocation, and acceptable use standards. Own technical relationships with Anthropic and OpenAI at the enterprise level. Build cloud infrastructure for AI workloads on AWS and GCP: Bedrock, SageMaker, Vertex AI, Cloud Functions, and supporting services (S3, Cloud Storage, IAM, and monitoring on both platforms). Deploy and securely configure n8n, and build automation workflows connecting LLMs to Jira, Confluence, Slack, Google Workspace, HR systems, and proprietary data sources. Design and secure MCP servers and gateways connecting AI agents to internal services. Build Python integrations for AI-powered internal tooling: RAG pipelines, agent frameworks, prompt libraries, and internal AI assistants. Deliver hands-on: you write the code, build the workflows, and deploy the tooling. This isn't an advisory role. Build data privacy and security architecture for LLM usage in a regulated environment, including prompt classification, output controls, and audit trails aligned with FCA, CySEC, ASIC, and DORA. Build observability across the full stack: token consumption, cost per team, latency, error rates, and policy violations across cloud platforms and direct API providers. Build an AI adoption framework of standards, patterns, and onboarding materials that let teams across Technology use AI safely and consistently. Run internal enablement through workshops, documentation, and direct support for teams moving from ad-hoc AI use to governed, repeatable processes. Report AI platform status, risks, and roadmap to Technology leadership Requirements: 8+ years in engineering, with at least 2 years building LLM-based systems in production, not prototypes or POCs. Comfort operating as the first person in a function: you set your own priorities, unblock yourself, and deliver without a team around you. Production-grade Python: tooling that others depend on, not scripts you hand off. Deep, hands-on experience with the Anthropic and/or OpenAI APIs: function calling, tool use, streaming, RAG, prompt management, token optimisation, and model versioning. Hands-on experience with agentic platforms, MCP servers, and MCP gateways, including designing flows between AI agents and internal services. n8n: deploying, securely configuring, and maintaining multi-step automation workflows at organisation scale. Solid AWS for AI workloads: Bedrock, SageMaker, Lambda, S3, IAM, and CloudWatch, deployed and operated in production. Solid GCP for AI workloads: Vertex AI, Cloud Functions, Cloud Storage, IAM, and Cloud Monitoring. Hands-on DevOps capability to deploy and run what you build. Architectural thinking: end-to-end system design, clear trade-off documentation, and the ability to defend decisions to senior stakeholders. Security engineering for what you build: secrets and credential management, key rotation, and least-privilege IAM across cloud and SaaS. Data protection and auditability by design: classifying what data can reach which model and provider, controlling and logging prompts and outputs, and building audit trails that hold up to a regulator. Fluency in the LLM threat surface, including prompt injection, data exfiltration through model outputs, insecure tool and agent use, and model supply-chain risk, with working knowledge of a recognised framework such as the OWASP LLM Top 10 or NIST AI RMF. Nice to have: Fintech, brokerage, or financial services background. DORA or ISO 27001:2022 knowledge as it applies to AI system risk. Familiarity with the EU AI Act and other AI regulatory requirements, as well as AI-specific risk and governance standards such as NIST AI RMF or ISO/IEC 42001. LLM orchestration frameworks: LangChain, LlamaIndex, or similar. Hands-on experience with LLM guardrail and DLP tooling: Bedrock Guardrails, Vertex AI safety filters, or prompt-firewall and PII-redaction tools. Experience building internal developer platforms or AI centres of excellence. AWS Solutions Architect Professional, Google Professional ML Engineer, or equivalent. Grow with Capital.com and help shape how millions of people access the markets.

Проектирование архитектурных решений для корпоративных систем и ключевых бизнес-процессов. Разработка и согласование интеграционных решений между внутренними и внешними системами.

Планирование стратегии coздания и проектирование архитектуры Hadoop, Cassandra; Описание архитектуры, расчет сайзинга, защита решений на Архитектурном комитете;

Мы ищем сильного технического лидера, который заберет на себя основной контур разработки: архитектуру, качество кода и предсказуемые циклы поставки. Сейчас у нас около 50 разработчиков, 2 основных стека — Python и TypeScript.

Notion is looking for a Forward Deployed Architect to design and launch AI-native customer workflows and lead complex services engagements.

VAAS is looking for a Staff Engineer Software Architect to own domain models, cross-team contracts, and platform architecture.

You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. 5+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI, and where you can contribute to technical debate and design choices with customers.

Location: Athens; Limassol; Nicosia Workplace: hybrid The Role: We are seeking a Senior Data Architect to define the strategic vision, enterprise-wide governance, and next-generation evolution of our overarching data architecture. You will set the enterprise standard for data management, advanced data modeling, and architectural design, enforcing best practices and ensuring our mission-critical data platforms are resilient, performant, and deeply aligned with long-term strategic objectives. The main responsibilities of the position include: Partner with IT leadership to establish, plan, and execute departmental targets and KPIs in alignment with corporate goals. Oversee the end-to-end data architecture lifecycle, including platform selection, technical design, and the delivery of critical modernization programs. Manage conceptual, logical, and physical data models while defining non-functional requirements (scalability, performance) for mission-critical systems. Establish enterprise-wide data architecture guidelines, lead technical review sessions, and maintain version-controlled architectural artefacts. Collaborate with IT Governance on metadata management, data quality metrics, and audit compliance to ensure adherence to security and enterprise regulations. Drive continuous innovation by evaluating emerging technologies and integrating advanced analytics capabilities to enhance data-driven solutions. Lead, coach, and motivate the data architecture team by setting performance targets, providing regular feedback, and fostering a culture of knowledge sharing. Partner closely with project teams as an embedded contributor, guiding schema design, physical design choices (e.g., indexing and partitioning), data access patterns, and query optimization best practices. Advise project teams on the end-to-end data product lifecycle, from platform selection through testing and implementation. Develop onboarding and training programs for Data Architecture, and extend architectural expertise and services across all Group companies. Main requirements: BSc/MSc in Computer Science, Information Technology or related field. At least 5 years’ experience in data-architecture or related roles, including leadership of enterprise initiatives Deep expertise in data-platform patterns (lakehouses, data mesh) and advanced modelling techniques Proven track record in designing scalable, high-availability data architectures and respective SLAs Demonstrable Experience across the following domains: Metadata and Master Data Management, Data Quality, Data Warehousing, Reporting & Data/Analytics. Enterprise data modelling Data Governance Data Platforms ETL Tools Data Standards Demonstrable experience using Cloud data technologies to develop enterprise data platforms Proven success in architecting enterprise data strategies, building ROI-driven business cases, and aligning architecture across multiple business units. Strong expertise in designing automated data pipelines and navigating data security, privacy frameworks, and regulations. Demonstrated leadership ability to motivate, coach, and develop a high-performing technical team. Highly effective in agile delivery models, with excellent facilitation skills for Architecture Review Boards and stakeholder committees. Exceptional analytical, problem-solving, and interpersonal communication skills. Benefit from: Attractive remuneration package Private health insurance Corporate pension fund Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Bring It to Life – Role-Specific Take-Home Task Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy Policy and the Confidentiality Undertaking.

Location: Seoul, South Korea Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: As a Forward Deployed Architect on Notion’s Services team, you will help customers turn AI ambition into operational reality and unlock the full potential of our platform. You will partner directly with customers to design, build, and launch AI-native workflows that drive adoption, usage, and measurable business outcomes. This role sits at the center of Notion’s workflow-led GTM motion. You will partner directly with customers to understand their business goals, operating processes, technical environment, governance needs, and adoption barriers, then translate that context into scalable Notion architectures that drive measurable value. You will be hands-on across discovery, solution design, workspace architecture, workflow build, AI implementation, launch planning, adoption and handoff. You will work deeply with customers to define what Notion should own, where it should integrate with existing systems, and how Notion can become a durable operating layer for their teams. The best candidates combine strong consultative discovery, systems thinking, technical fluency, AI-native workflow design, implementation judgment and exceptional customer presence. You should be comfortable reasoning through technical tradeoffs, designing scalable solutions, and partnering closely with Forward Deployed Engineering when deeper engineering support is required. In this role, you own the engagement outcome. You will lead our most complex, multi-workstream engagements in Korea, decide when Forward Deployed Engineers are needed for code-intensive work, and coach others to raise the bar across our Services practice. WHAT YOU'LL ACHIEVE: - Lead Notion’s most complex, multi-workstream customer engagements in Korea end to end, from scoping and discovery through launch, adoption and handoff, often where the future state and success measures are not yet defined. - Shape Services scope, effort estimates and implementation strategy with account teams during pre-sales, then deliver against the agreed scope, timeline and outcomes, recovering engagements that go off track. - Drive executive alignment on ambiguous, high-stakes decisions: facilitate discovery and architecture workshops, frame tradeoffs clearly and deliver hard messages directly. - Decide where Notion should own, complement or connect to existing systems, and design scalable architectures and AI-native workflows to a production quality bar, including permission design, AI evaluation, human-in-the-loop controls and operational ownership. - Orchestrate Forward Deployed Engineers, partners and internal teams: define when deeper engineering is required and set clear scope, ownership and handoffs. - Lead change management and adoption through stakeholder alignment, champion programs, phased rollouts and enablement, so customer teams sustain usage and realize measurable value. - Coach other architects and partners, and scale the Korea Services practice through reusable reference architectures, packaged solutions and localized enablement. - Turn field patterns into evidence-backed product signals (customer pain, business impact, expected outcome and frequency) that influence Notion’s roadmap. SKILLS YOU'LL NEED TO BRING: - 5+ years of experience in tech services/consulting, solutions architecture, implementation, customer engineering, or a similar customer-facing role. - Proven ability to translate ambiguous customer goals into clear workflows, implementation plans, solution architectures, and measurable success criteria. - Strong consultative discovery skills, including the ability to map current-state workflows, identify customer pain, understand operating models, surface technical constraints, and define practical future-state solutions. - Hands-on AI builder mindset, with experience using AI tools to design, prototype, automate, or improve real business workflows. - Proven track record of designing and deploying AI-powered workflows or agents in production for customers. - Hands-on technical depth in data modeling and permission design, API and integration patterns, agent design and evaluation, enterprise security and governance, and data validation with SQL or scripts. You do not need to write production code. - Strong experience delivering implementations that drive adoption, change management and long-term customer value. - Strong project and engagement management skills, including ownership of scope, timeline, deliverables, stakeholder alignment, risks, decisions, dependencies and launch readiness. - Experience scoping Services work, estimating effort and delivering within agreed commercial boundaries. - Exceptional written and verbal communication, with the ability to simplify complex technical concepts for business, technical, and executive audiences. - Strong executive presence and customer judgment, with the ability to build trust, frame tradeoffs clearly, and move ambiguous decisions forward. - Experience coaching consultants or architects, and building methods, reference architectures or packaged services that others adopt. - Bias toward action, high learning velocity, and comfort building in fast-changing AI-native product environments. - Professional fluency in Korean and English. NICE TO HAVES: - Experience with Notion, APIs, MCPs, Workers, coding agents or developer platform workflows. - Experience delivering for large Korean enterprises and navigating complex, multi-stakeholder decision processes. - Experience enabling or co-delivering with implementation partners. - Previous experience in a fast-paced, high-growth technology environment. A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Консультирование технического блока по архитектуре и локальной специфике банковского сектора. Помощь в проектировании интеграционных слоев с АБС Fido.

Компания Tele2 (Казахстан) — ведущий телеком-оператор в Казахстане под брендами Tele2 и Altel, предоставляющий мобильную связь, интернет 4G/5G и цифровые сервисы. Условия: — Гибридный формат работы (Алматы, Казахстан). — Гибкое начало рабочего дня.