Архитектура вакансии - удалённо

Location: Dallas, TX Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. KEY RESPONSIBILITIES - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams WHAT WE'RE LOOKING FOR REQUIRED EXPERIENCE 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply Infrastructure & Platform: - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure) - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing - Experience designing high-availability and disaster recovery solutions - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog) - Experience with CI/CD pipelines for infrastructure and applications Agent Engineering & Development: - 1+ years of experience building production AI/ML applications or agents - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications - Experience with state management patterns (short-term and long-term memory) - Experience designing and implementing evaluation frameworks for AI applications - Strong prompt engineering skills with experience in optimization and A/B testing - Experience with vector stores, RAG patterns, and knowledge organization - Experience with tool integration, API design, and error handling patterns - Strong Python and/or TypeScript development skills Customer-Facing: - Customer-facing experience with enterprise customers - Experience conducting technical assessments or infrastructure audits - Strong communication skills with ability to explain technical concepts to diverse audiences KEY ATTRIBUTES - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences - Experience working cross-functionally with engineering teams, product teams, and customers - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation - Ability to balance infrastructure architecture with agent development work - Strong engineering background with hands-on development experience - Willing to travel up to 20% of the time Location: Dallas, TX Compensation: $170,000-$270,000 base salary + equity Looking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions. Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Los Angeles, CA; Salt Lake City, UT; Seattle, WA; Denver, CO Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. KEY RESPONSIBILITIES - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams WHAT WE'RE LOOKING FOR REQUIRED EXPERIENCE 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply Infrastructure & Platform: - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure) - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing - Experience designing high-availability and disaster recovery solutions - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog) - Experience with CI/CD pipelines for infrastructure and applications Agent Engineering & Development: - 1+ years of experience building production AI/ML applications or agents - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications - Experience with state management patterns (short-term and long-term memory) - Experience designing and implementing evaluation frameworks for AI applications - Strong prompt engineering skills with experience in optimization and A/B testing - Experience with vector stores, RAG patterns, and knowledge organization - Experience with tool integration, API design, and error handling patterns - Strong Python and/or TypeScript development skills Customer-Facing: - Customer-facing experience with enterprise customers - Experience conducting technical assessments or infrastructure audits - Strong communication skills with ability to explain technical concepts to diverse audiences KEY ATTRIBUTES - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences - Experience working cross-functionally with engineering teams, product teams, and customers - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation - Ability to balance infrastructure architecture with agent development work - Strong engineering background with hands-on development experience - Willing to travel up to 20% of the time Location: Remote Compensation: $170,000-$270,000 base salary + equity Looking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions. Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

• Практический опыт со Stellar, Soroban и Rust. • Английский B2+.

• Технические пресейлы и прямое взаимодействие с архитекторами заказчиков. • Анализ архитектуры клиентов и проектирование решений под бизнес-задачи.

- опыт проектирования высоконагруженных коммуникационных решений (мессенджеры, аудио-видеозвонки, conferencing). - Ключевой опыт - WebRTC, media servers (желательно Janus или аналоги), архитектура групповых звонков, масштабирование под большое количество одновременных пользователей, производительность и отказоустойчивость.

- ClickHouse - основная экспертиза: проектирование MergeTree, партиционирование, TTL, оптимизация запросов, шардирование/репликация, бэкапы в S3. - ETL/ELT и оркестрация: Airflow, dbt, data quality, тесты, мониторинг свежести данных, data contracts.

-проектировать архитектуры решений (High-Level Design) и декомпозировать на сервисы. -выбирать технологический стек и обоснование архитектурных решений.

Location: Remote, Any, United States, AMER; Remote, Illinois, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Team Cloud Onboarding Architects work alongside Customer Onboarding Managers, Technical Instructors, Resident Solutions Architects within Professional Services. This team ensures that every new managed enterprise customer has a fully configured dbt platform account and is confident using it. Guided Setup is often a customer’s first hands-on experience with dbt. The team sits at the intersection of technical implementation, customer experience, and product feedback; helping customers navigate the complexity of their data, identity, security, and development environments while ensuring they are set up for long-term success. About the Role The Cloud Onboarding Architect Lead is the technical leader for Guided Setup across our dbt enterprise customer base. You’ll own the most complex and highest-visibility setup engagements while also helping define how the entire team delivers setup at scale. This role combines hands-on technical delivery with technical leadership. You’ll be the person other Cloud Onboarding Architects turn to when a customer has an unusual architecture, an implementation has stalled, or the existing playbook doesn’t quite fit. You’ll also work across Professional Services, Engineering, Product, and Design to turn those individual challenges into better processes, documentation, and product experiences for everyone. This is a role for someone who enjoys being both deep in the technical details and responsible for the bigger picture. Technologies You’ll Use Modern Data Warehouses (Snowflake / Databricks / BigQuery / Redshift), Repositories (GitHub / GitLab / Azure DevOps), Identity Providers (Okta / Entra ID / Google), PrivateLink / Private Service Connect, AWS, Azure, GCP, SQL, SSO, OAuth, Rocketlane What You’ll Do Own complex and escalated setup engagements Lead Guided Setup for our most technically complex, strategically important, and highest-visibility enterprise accounts across all four milestones: data warehouse/repository configuration, SSO, RBAC/SCIM, and user access Serve as the senior technical escalation point when setup issues threaten onboarding timelines or customer activation, including complex PrivateLink, OAuth, SSO, networking, and identity scenarios Work directly with customer technical stakeholders and administrators to understand their environment, identify risks, and guide them toward a successful configuration Anticipate technical blockers early and create clear plans to resolve them before they impact the broader onboarding program Make sound scoping decisions about what belongs in Guided Setup versus Customer Solutions Engineering, Product, or post-onboarding work Ensure complex engagements maintain the same high bar for customer experience, documentation, and technical quality as standard setups Raise the bar for the team Act as a technical mentor and coach for Cloud Onboarding Architect I/IIs, helping them develop their troubleshooting, platform expertise, and customer-facing skills Serve as a thought partner for COAs working through technically challenging or ambiguous customer situations Own and continuously improve the Guided Setup checklist, playbooks, kickoff materials, troubleshooting guidance, and internal documentation Identify patterns across customer engagements and turn those patterns into repeatable processes, tooling, documentation, or product feedback Identify recurring setup blockers and drive them toward resolution, whether the underlying fix is a documentation update, process change, enablement opportunity, or product improvement Help establish and maintain consistent standards for setup quality across the team Represent setup cross-functionally Be the primary point of contact into Engineering, Product & Design for setup-related bugs, feature requests, and onboarding UX feedback Work with Customer Solutions Engineering on the setup/support boundary and on customers struggling to reach utilization post-onboarding Collaborate with Training on on-demand content for the setup steps that create the most friction for new customers Contribute setup expertise to Engineering team (EPD/Transport) conversations on PrivateLink and network architecture Bring the voice of enterprise customers into internal discussions about product usability, administration, security, and onboarding Use data, customer feedback, and experience from individual engagements to identify opportunities to improve setup time and activation readiness Skills We’re Looking For Deep, hands-on experience with dbt (2-3 years minimum) as an account admin and data practitioner, at a level where you're a trusted authority on the platform Prior experience as a Cloud Onboarding Architect / Implementation Consultant (or directly equivalent role) — this is not an entry point into the setup team Administrator-level fluency with data warehouses (Snowflake / Databricks / BigQuery / Redshift), repositories (GitHub / GitLab / Azure DevOps), and identity providers (Okta / Entra ID / Google), including SSO, SAML, and OAuth Track record of mentoring or coaching less experienced teammates on technical and soft skills Comfort owning ambiguous, cross-functional problems without a clear playbook — and building the playbook yourself Strong written and verbal communication; able to represent the setup team's perspective to Engineering, Product, and customer executives alike Ability to tailor consistent white glove setup experiences based on an account’s size and strategic importance Strong customer judgment and the ability to balance technical correctness with customer timelines and business priorities Bonus Skills​ Experience with PrivateLink or other secure connectivity patterns Experience contributing to internal enablement content or documentation Comfort being the technical bridge in between, pre-sales, post-sales, Engineering, and Product Familiarity with Rocketlane or similar project/time-tracking tools used for onboarding delivery dbt Architect certified #LI-Remote The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Pay Range $179,982 — $224,978 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Опыт проектирования высоконагруженных распределённых систем: горизонтальное масштабирование, отказоустойчивость, балансировка нагрузки, кэширование, очереди, rate limiting, graceful degradation. Опыт встраивания ML-сервисов в корпоративную архитектуру: интеграция с API Gateway, IAM/SSO, корпоративными шинами, системами мониторинга и журналирования.

-Partner with the Sales team as the technical lead, running discovery, demonstrations, and proofs of value, and leading the discussions on value creation and solution development that achieve the technical win. -Worked in or directly with our private sector customer types: banks, cryptocurrency exchanges, payment processors, and blockchain developers.

- Техническое лидирование Agile-команды. - Техническая и архитектурная экспертиза решений, предлагаемых командой.

As a Principal Solutions Architect , you will play a key leadership role in shaping technology direction, guiding cross-functional initiatives, and enabling high-impact delivery. Qualifications: 10+ years of relevant experience in software engineering and solution architecture.

As an Deployment Architect, you will be the force behind successful deployments at Hightouch. Working in close partnership with an account team and the Hightouch product team, you will own the full deployment and enablement lifecycle for Hightouch customers.

Own the end-to-end deployment and migration for enterprise Email/SMS customers, from technical discovery through successful production launch. Lead technical discovery and implementation workshops, translating customer requirements into scalable messaging architecture across integrations, data flows, APIs, account structure, and channel configuration.

As a Principal Infrastructure Architect on our Infrastructure Architecture team, you will be the architecture team's partner to ZoomInfo's data engineering organization. You bring the infrastructure patterns, evaluation rigor, and cross-team alignment that help them build and run those platforms well on GCP.

Supporting federal customer engagements by delivering mission-aligned architectural design and execution of Collibra products that adhere to Collibra Public Sector’s Delivery Models, Engagement Processes, Methodologies, and Artifacts, while ensuring compliance with applicable government regulations and security standards (e.g., FedRAMP, FISMA, GovCloud).

Задачи: — Проектирование целевой и переходной архитектуры стрима Ипотеки — Участие в развитии, масштабировании и сопровождении текущих решений с фокусом на надёжность и расширяемость — Взаимодействие с командами разработки, архитекторами других доменов и заинтересованными сторонами — Актуализация архитектурной документации, проведение технических оценок, архитектурных демо и митапов Требования: — Не менее 5 лет в роли Solution/Software/System Architect или Tech Lead с архитектурной ответственностью — Опыт проектирования высоконагруженных и отказоустойчивых систем (желательно: >1 млн пользователей, 500+ RPS, SLA 99.9%+) — Глубокое понимание микросервисной архитектуры, принципов модульности, API‑ориентированной интеграции и стратегий масштабирования — Знание нотаций BPMN и ArchiMate для документирования процессов и архитектурных решений — Опыт архитектурных ревью, архитектурного надзора и управления технологическим долгом — Навыки быстрой разработки прототипов и PoC, проведение R&D для проверки архитектурных гипотез (будет плюсом) Условия: — full-time Компания занимается цифровой трансформацией строительной отрасли.

Задачи: — Проектирование целевой и переходной архитектуры стрима Ипотеки — Участие в развитии, масштабировании и сопровождении текущих решений с ориентацией на надёжность, расширяемость и соответствие бизнес-целям — Взаимодействие с командами разработки, архитекторами других доменов и заинтересованными сторонами — Актуализация архитектурной документации, проведение технических оценок и архитектурных демо и митапов Требования: — Не менее 5-ти лет опыта в роли Solution / Software / System Architect либо Tech Lead с архитектурной ответственностью — Опыт проектирования высоконагруженных и отказоустойчивых систем: желательно с пользовательской базой от 1 млн клиентов, нагрузкой от 500+ RPS, и SLA по доступности 99.9%+ — Глубокое понимание микросервисной архитектуры и (желательно) микрофронтов, принципов модульности, API-ориентированной интеграции, стратегий масштабирования и изоляции доменов — Знание нотаций BPMN и ArchiMate для документирования процессов и архитектурных решений — Опыт участия в архитектурных ревью, архитектурного надзора, ведения технологического долга — Опыт работы с актуальным технологическим стеком Будет плюсом: — Навыки разработки прототипов и PoC-решений, проведения R&D — умение быстро собирать прототипы для проверки архитектурных гипотез Стек: — Backend: Java + Spring Boot — Frontend: JavaScript + React — Мобильная разработка: знание архитектур нативных мобильных приложений — Контейнеризация и оркестрация: Kubernetes — Хранение данных: PostgreSQL, Cassandra, Redis, MinIO — Асинхронное взаимодействие: Kafka, ArtemisMQ — Camunda 8 Stack — ключевой компонент, обеспечивающий оркестрацию платёжных процессов