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Location: London Workplace: Remote ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. 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. WHAT YOU'LL DO: - 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 YOU'LL BRING: 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed 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 COMPENSATION: £100,000-£165,000 base salary + equity Location: - UK, London - Remote with up to 25% travel 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: Remote - Singapore Workplace: Remote ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. 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, Deployed 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 COMPENSATION: $185,000-$260,000 base salary + equity Location: - Singapore - Remote with up to 25% travel 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.

Условия и бонусы: Фултайм, удаленно по РФ. Наши ожидания: – Глубокие знания профильного банковского ПО на уровне эксперта. – Знание практик SRE / DevOps. – Управление серверами на базе Linux на уровне администратора. – Знание микросервисной архитектуры и технологий контейнеризации: Docker, containerd. – Продвинутые навыки работы с Kubernetes, Helm, Kyverno, Istio, Kafka, Keycloak, Hashicorp Vault, S3, Luntry. – Понимание принципов построения процессов CI/CD. – Продвинутые навыки работы с GitLab CI. – Понимание принципов IaC. – Продвинутые навыки работы с Ansible, Terraform, Terragrunt. – Понимание принципов построения Observability. – Продвинутые навыки работы с ELK/EFK, OpenSearch, Prometheus, VictoriaMetrics, OpenTracing/OpenTelemetry. – Опыт работы с облачными провайдерами, например, AWS, Yandex Cloud.

Задачи: — Разработка и поддержка высоконагруженных backend-сервисов на Python — Проектирование и разработка REST API — Интеграция сервисов с внутренними и внешними системами — Работа с асинхронным кодом и высоконагруженными сценариями — Настройка логирования, метрик, healthcheck endpoints и трассировки — Интеграция сервисов с observability-инфраструктурой: OpenTelemetry, Prometheus-compatible метрики, ElasticSearch — Работа с контейнеризацией и инфраструктурой: Docker, Kubernetes, Kafka — Участие в диагностике инцидентов, анализе логов, метрик и трейсов Требования: — Коммерческий опыт разработки на Python от 4х лет — Опыт разработки REST API и микросервисной архитектуры — Опыт асинхронного программирования: asyncio, aiohttp/httpx или аналогичные инструменты — Опыт работы с FastAPI, Pydantic или аналогичным backend-стеком — Опыт работы с PostgreSQL, плюсом будет ClickHouse SQL — Опыт работы с Redis — Опыт работы с очередями или брокерами сообщений: Kafka или RabbitMQ — Опыт работы с Docker, базовое понимание Kubernetes: pod, deployment, service, liveness/readiness probes, Helm — Опыт настройки логирования: logging, structlog или аналогичные инструменты, ElasticSearch/OpenSearch — Опыт работы в Graphana, Kibana для мониторинга — Опыт написания тестов: pytest, unittest, mocks — Vibe-Coding (Cursor, Claude Code, Codex и другие) Будет плюсом: — Опыт в DevOps/Data Engineering — Опыт по разворачиванию локальных LLM-моделей: vLLM, SGLang, LM Studio, Ollama, llama.cpp (любой на выбор) — Практический опыт с OpenTelemetry Collector и OTLP — Опыт работы с VictoriaMetrics, Jaeger, AlertManager — Умение строить BI-дашборды из ClickHouse — Желание изучать язык программирования Go (опционально)

Location: New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. 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: New York City Compensation: $170,000-$300,000 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: Austin, TX Workplace: Remote ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. 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: Austin, Texas 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: Dallas, TX Workplace: Remote ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. 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 enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. 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.

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. 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: San Francisco Compensation: $170,000-$300,000 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.

Задачи: — Функциональное, интеграционное и API-тестирование микросервисов транспортных компаний, работа с курьерской доставкой и выдачей на ПВЗ, подготовка тестовой модели и тест-кейсов, автоматизация регрессионных проверок API на Python. — Тестирование процесса декомпозиции монолитного PHP-приложения и переноса бизнес-функциональности в микросервисы на Go. — Проверка сохранения текущего поведения системы, API-контрактов, интеграций, корректности миграции и обработки данных. — Проведение функционального, интеграционного, регрессионного и сквозного тестирования. — Выявление расхождений между монолитом и новой микросервисной реализацией. Требования: — Общий опыт работы: от 3 лет в тестировании backend-сервисов, API и интеграций между корпоративными системами. — Опыт по требуемому стеку/направлению: API-тестирование — от 3 лет; тестирование микросервисов — от 3 лет; SQL/PostgreSQL — от 2 лет; тестирование асинхронных процессов и очередей/worker-компонентов — от 2 лет; Docker/Kubernetes — от 1 года; Jira/Confluence/GitLab — от 1 года. — Релевантный проектный опыт: не менее трех коммерческих проектов уровня Enterprise. — Обязателен опыт тестирования микросервисной архитектуры, API-контрактов, интеграций с legacy-системами, асинхронной обработки, retry-логики, обработки ошибок внешних систем, идемпотентности и повторной выдачи результатов. — Отраслевой опыт: e-commerce, транспортная логистика, складская логистика. — Обязательные технологии/инструменты: Python для автотестов, pytest или аналогичный Python-фреймворк, REST API, Postman/Insomnia или аналоги, Swagger/OpenAPI, PostgreSQL, SQL, JSON/JSONB, GitLab, Jira, Confluence, Docker, Kubernetes, S3-совместимое хранилище, инструменты анализа логов и мониторинга. — Желательные технологии/инструменты: опыт написания unit/integration/contract-тестов, RestAssured/Newman или аналоги, Kafka или RabbitMQ, Redis, MinIO, Grafana, Prometheus, OpenTelemetry, Allure/TestRail/Zephyr, Charles/Fiddler, PlantUML/C4. — Системы учета задач и документации: Jira, Confluence, GitLab. — Необходимо вести тест-кейсы, чек-листы, дефекты, результаты тестовых прогонов, фиксировать тестовые данные и ежедневно предоставлять отчет о проделанной работе в согласованном канале коммуникации. Условия: — Формат работы: удаленно по РФ. — Занятость: проектная, долгосрочный проект (фултайм). — Оформление: ГПХ, ИП. — Зарплата: до 1500 ₽ в час гросс. Откликаться: @KM_Alexander_Uvarov

Задачи: — Обслуживание Linux-серверов и Window-серверов; — Развертывание и поддержка веб-сервисов; — Настройка мониторинга и алертинга; — Автоматизация процессов развертывания; — Управление контейнерной инфраструктурой; — Обеспечение безопасности серверов; — Резервное копирование и восстановление; — Ведение технической документации; — Поддержка и управление существующей инфраструктуры. Требования: — Администрирование Linux (Debian/CentOS); — Администрирование Windows; — Сетевые технологии TCP/IP, firewall, VPN; — Виртуализация (Proxmox, KVM, Vmware); — Контейнеризация (Docker, Docker Compose); — Мониторинг (Zabbix, Prometheus); — Веб-серверы (nginx, Apache, IIS); — СУБД (MySQL, PostgreSQL, MongoDB); — RabbitMQ, Redis; — Git, Ansible; — Bash, Python; — Резервное копирование. Условия: — График работы: 5/2 (09:30–18:30); — Профессиональный рост в финтехе; — Сложная тематика и интересные проекты; — Командный дух и работа на результат.

Требования: — Уверенный опыт администрирования баз данных, предпочтительно NoSQL, векторные базы данных будут плюсом — Опыт работы с системами мониторинга, такими как Zabbix, Prometheus, Grafana и другие — Опыт траблшутинга: мониторинг нагрузки, анализ логов, устранение причин сбоев — Понимание планирования и реализации надежного резервного копирования Условия: — Работа полностью из офиса, гибридного или удалённого формата нет — Компания Kaspi.kz работает с Highload, AI/ML-нагрузками и векторными базами данных — Релокационная поддержка для кандидатов из других городов и стран

Location: Paris Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. About the role: As a Senior Software Developer at Checkout.com http://Checkout.com, you will be embedded within the Identity Verification Team, a critical function focused on building innovative products to verify the identities of individuals and businesses globally. In this high-impact role, you will be instrumental in the development of next-generation verification features, deploying intelligent, production-ready solutions by leveraging state-of-the-art Orchestration technologies as well as Generative AI and Computer Vision technologies. You will be expected to work closely and collaboratively with Product, DevOps, DataScientist, and Data teams to ensure successful, end-to-end delivery of these solutions, while constantly researching and integrating emerging technologies. A core part of your contribution will be safeguarding data integrity and ensuring compliance, and translating complex data insights into clear, actionable recommendations for stakeholders to support informed, data-driven decision-making across Checkout.com http://Checkout.com. What you will be doing: • Drive the design and development of innovative, complex and scalable applications for real-world identity verification challenges in a wider microservices using industry best practices. • Take full ownership of new and existing features and service, managing the end-to-end lifecycle from initial conceptualization and design through to deployment and monitoring in a production environment. • Actively collaborate with cross-functional teams (Engineering, Product, Risk) across the company to maximize the positive impact of data science initiatives. • Champion a culture of technical excellence, cross-team learning, and knowledge sharing within the Data organization. • Be part of, and collaborate with, cross-functional teams including product management, across a large engineering community. • Write clean, maintainable, extendable and testable code on some of Checkout’s most impactful systems. • Build, own and operate your systems to the highest levels of resilience and service. • Mentor junior team members and assist in their technical development What are we looking for: • Bachelor's or Master's degree in Computer Science, Engineering, or related field • Over 5 years of experience as a Software Engineer working with complex, large-scale, and diversified applications and tech stacks. • Proficiency in C# .NET or Python, with a strong understanding of software development principles in either a backend or full stack environment. • Great communication skills and ability to interact effectively with a wide range of stakeholders • Experience working in agile environments and delivering high-quality code within tight deadlines • Excellent problem-solving skills and the ability to work independently as well as part of a team • Someone who is AI proficient or AI curious, you will be hungry to embrace what the latest technology has to offer to enhance yours and your teams productivity • Payments or financial knowledge is a plus, but not a necessity Bonus Points: • Experience with Cloud and Infrastructure technologies like AWS, GCP, Azure, Kubernetes, prometheus... • Experience with Databases like Postgresql, Mongo, Redis, ... • Direct experience solving real-world business problems through innovative, data-driven approaches. • Any experience in other programming languages not mentioned above. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Наши пожелания к кандидатам: — Знание основных видов нагрузочного тестирования и их назначения (нагрузочное, стрессовое, объемное, тестирование стабильности и др.) — Знание основных метрик производительности и их смысла (время ответа, пропускная способность, количество одновременных пользователей, загрузка CPU/памяти и др.) — Понимание назначения мониторинга при нагрузочном тестировании — JMeter: уверенное владение инструментом — Знание типов элементов JMeter, используемых для построения сценария нагрузки (тест-плана), и их назначение — Понимание порядка исполнения и области действия каждого типа элементов JMeter — Знание популярных элементов сценария (тест-плана) JMeter каждого типа — Grafana / Prometheus: опыт работы с системами мониторинга — Базовые знания командной строки Linux (навигация по файловой системе, создание/копирование/перемещение/редактирование файлов, SSH) — SQL на уровне понимания операций JOIN, GROUP BY, функций агрегирования — Понимание работы HTTP на базовом уровне (основные правила коммуникации и структуры сообщений) — Понимание назначения REST API Будет плюсом: — Опыт нагрузочного тестирования крупных высоконагруженных систем (тысячи/сотни тысяч пользователей) — Опыт тестирования микросервисной архитектуры — Навыки написания скриптов на Python/Shell для автоматизации подготовки данных — Опыт работы с очередями (Kafka, RabbitMQ) и базами данных под нагрузкой — Понимание принципов работы с Kubernetes/OpenShift Условия: — Полная занятость, 5/2 — Работа над уникальной HR-платформой с сотнями тысяч пользователей — Профессиональное развитие и обмен опытом в сильной команде

Задачи: — Разработка и оптимизация веб-приложений по работе с автопроизводителями и дилерскими центрами — Рефакторинг и развитие существующего функционала — Документирование архитектурных решений и разработанных приложений — Участие в грумминге и оценке трудозатрат задач — Участие в проработке архитектуры решений — Поддержка и развитие систем в промышленной эксплуатации Требования: — Опыт коммерческой разработки на Python от 1,5 лет — Уверенное знание Python (asyncio, typing, обработка ошибок и контекстные менеджеры (contextlib), логирование) — Опыт разработки с использованием FastAPI и Django/DRF (или аналогов) — Опыт проектирования и разработки REST API — Понимание принципов микросервисной архитектуры — Опыт работы с PostgreSQL (транзакции, ACID, индексы, оптимизация запросов) — Опыт работы с Redis, брокерами сообщений (Kafka и/или RabbitMQ) — Опыт контейнеризации (Docker), настройки CI/CD (GitLab CI, GitHub Actions или аналогичные) — Понимание практик логирования и мониторинга (Prometheus, Grafana, ELK или аналоги) — Базовое понимание вопросов безопасности приложений (аутентификация, авторизация, защита данных) — Уверенная работа с Git — Опыт написания unit и интеграционных тестов (pytest или аналоги) — Английский на уровне чтения технической документации Будет плюсом: — Опыт работы в разработке веб-сервисов — Опыт деплоя приложений (Kubernetes) — Опыт работы по git-flow — Практика TDD/BDD — Опыт использования AI-инструментов (например, ChatGPT, GitHub Copilot) для разработки и поиска технических решений — Понимание best-practice применения AI в разработке: валидация и критическая оценка сгенерированного кода, использование AI для ускорения разработки без потери качества и безопасности

Требования: - Опыт работы от 4-5 лет; - Знание DevOps методологии, опыт поддержки процесса разработки ПО; - Опыт работы с Docker, Nginx; - Понимание и опыт работы с Kubernetes (понимание/создание Helm chart, Traefik, ingress); - Опыт конфигурации и уверенное владение Linux (RedOS, Astra); - Опыт конфигурирования БД (NoSQL/SQL) (Postgres, Qdrant, Redis, Tarantool и т.п.); - Опыт автоматизации CI/CD-процессов (GitlabCI и т.п.); - Понимание сетей, сетевых протоколов, принципов работы ОС; - Опыт использования систем управления конфигурацией и знакомство с Infrastructure as code (Ansible, terraform и т.п.); - Знание скриптовых языков (bash, python и т.п.); - Опыт настройки инструментов мониторинга (Prometheus, Grafana, Victoriametrics); - Опыт использования GenAI инструментов для выполнения рабочих задач; - Опыт настройки gitops инструментов (ArgoCD); - Опыт работы с облачной инфраструктурой (Ya cloud, VK Cloud, AWS); - Готовность к очному выезду к заказчикам в МСК, для внедрения продукта к закрытых контурах. - На текущий момент 60% клиентов в удаленном формате, а 40% onsite; - Практический опыт развертывания и эксплуатации Kubernetes в production; - Уверенное владение Kubespray — самостоятельное развертывание кластера с нуля, понимание работы архитектурных компонентов и их взаимодействия; - Опыт работы в закрытых (air-gapped) контурах без доступа к интернету; - Умение самостоятельно подготовить все необходимые пакеты, образы и зависимости для offline-развертывания; - Опыт установки и настройки сервисов в Kubernetes через Helm; - Умение дебажить и дорабатывать Helm-чарты «на лету» в процессе внедрения; - Уверенное знание Linux, Ansible, Terraform, Docker/Container Registry; - Навыки диагностики и устранения проблем Kubernetes, Helm, Linux; - Опыт внедрения решений у заказчиков; - Способность самостоятельно доводить внедрение от подготовки инфраструктуры до запуска и эксплуатации продукта; - Будем плюсом работа с VK Cloud и Openstack; - Также важен опыт работы с различными БД и Сервисами в Kubernetes: Kafka, ClickHouse, Postgres, Qdrant, Traefik, Opensearch, Nats, NACK; Обязанности: - Поддержка работоспособности и отказоустойчивости сервисов и компонентов платформы; - Автоматизация процесса подготовки окружений, тестовых сред, сборки и развертывания приложений; - Организация работы сервисов в облаке Условия: - Полный рабочий день; - Можно удалённо; - Оформление как ИП; - Зарплата от 220 000 до 240 000 рублей в месяц, гросс.

Задачи: — Развертывание и поддержка корпоративных сервисов и их компонентов в офисе и Дата-Центрах; — Резервное копирование с периодической верификацией; — Мониторинг сервисов и своевременное реагирование на инциденты; — Ведение технической документации; Требования: — Ответственно подходить к работе, работать в команде, не конфликтность; — Разбираться с новыми и нестандартными задачами; — Желание совершенствовать свои навыки, развиваться; Сервисы, с которыми предстоит работать и поддерживать: — Системы резервного копирования и мониторинга (Bacula, Zabbix, Prometheus); — Серверы БД (MySQL, Postgres, OpenLDAP); — Почтовые системы (Postfix, Exim, Communigate); — Веб серверы (Apache, Nginx); — ОС на базе Linux (Oracle, Ubuntu, Debian, FreeBSD); — Сетевая инфраструктура (DNS, DHCP); Приветствуется знакомство с: — Автоматизацией развертывания и настройки сервисов с помощью Ansible; — Cетевым оборудованием (Cisco, Juniper) L2-L3 layer (vlan, routing); — Системами заявок службы поддержки; Условия: — Оформление с первого рабочего дня с соблюдением ТК РФ (ЗП полностью белая); — Стабильную выплату заработной платы два раза в месяц без задержек; — Годовая премия - 13-ая ЗП (прогрессирующая, растет ежегодно); — Возможность обучения на внешних курсах за счет компании; — Работа в просторном офисе, 7 минут от м.Белорусская; — График работы 5/2, с 9.30 до 18.00; — Предоставление лицензий Dr.Web; — Социальный пакет: компенсация стоимости обедов, ДМС, компенсация стоматологических затрат; — Оборудованная кухня внутри офиса; — Кофе, чай, спортзал, комната отдыха и прочие радости; — Мы поддерживаем развитие сотрудников – средний стаж работы коллег от 7 лет и более.

Требования: Инфраструктура и Cloud: — Опыт развертывания и настройки managed-кластеров Spark (Yandex Data Proc, Google Dataproc, AWS EMR). — Владение Terraform (или Ansible) для автоматизации инфраструктуры. — Настройка сетевого взаимодействия (VPC, VPN, Security Groups) между Greenplum и Spark. — Опыт работы с Docker и Kubernetes (если Spark запускается на K8s). Big Data стек: — Понимание архитектуры Greenplum и способов выгрузки данных (gpfdist, PXF, JDBC). — Знание архитектуры Spark (Driver, Executor, History Server), умение управлять ресурсами кластера. — Настройка оркестрации пайплайнов (Apache Airflow). — Работа с форматами данных (Parquet, ORC, Avro). Мониторинг и CI/CD: — Настройка мониторинга и логирования для Spark-джобов (Prometheus, Grafana, ELK). — Настройка CI/CD для деплоя Spark-приложений (GitLab CI, Jenkins). Языки и утилиты: — Python (PySpark) или Scala — для написания инфраструктурных скриптов и отладки. — Bash-скриптинг