Задачи:
— Разработка на Go с коммерческим опытом от 1,5 лет.
— Работа с конкурентностью: goroutines, channels, context, таймауты и отмена операций.
— Использование PostgreSQL и SQL, включая транзакции, индексы, блокировки, уровни изоляции и оптимизацию запросов.
— Разработка HTTP API и интеграция с внешними системами.
— Обеспечение идемпотентности, retry, дедупликации и обработки повторных событий.
— Тестирование бизнес-логики, включая обработку ошибок и граничных случаев.
— Безопасное внесение изменений в существующую систему.
— Внимательность к финансовым расчётам, округлениям и согласованности данных.
— Самостоятельность, ответственность и доведение задач до результата.
— Готовность оперативно подключаться к решению production-проблем, включая нерабочее время при критических инцидентах.
Условия:
— Фултайм, удалённая работа.
— Оформление через ИП/СМЗ или оплата в USDT.
Задачи:
— Отвечать за архитектуру сайта и лендингов, технический стек, качество кода и стабильность работы.
— Технически лидировать команду разработки: проводить дейлики, помогать с декомпозицией задач, проводить code review и развивать младших разработчиков.
— Управлять релизами и стабильностью продакшена: контролировать CI/CD, мониторинг ошибок, оперативно устранять инциденты и при необходимости выполнять откаты.
— Развивать архитектуру и модернизировать сайт: планировать миграцию на современный стек, работать с техническим долгом и легаси PHP/Pug.
— Оптимизировать производительность сайта: улучшать Core Web Vitals, скорость загрузки и пользовательский опыт.
— Развивать техническое SEO: совместно с SEO Lead улучшать индексацию, поисковую доступность и оптимизацию сайта для AI-поиска.
— Работать с продуктовыми метриками: понимать влияние задач на бизнес-показатели и помогать команде принимать технические решения с учетом продуктовых целей.
— Взаимодействовать со смежными командами: согласовывать общие технические решения, интеграции с личным кабинетом и развитие сайта.
Требования:
— Опыт во фронтенд-разработке от 5 лет, уверенное владение React, сильная техническая экспертиза и способность принимать архитектурные решения.
— Опыт работы со статическими генераторами сайтов (Gatsby, Astro или аналоги), headless CMS.
— Преимущество — опыт миграции действующего сайта на новый стек.
— Знание принципов производительности и технического SEO: Core Web Vitals, Lighthouse, SSR/SSG, индексация, оптимизация скорости загрузки.
— Опыт разработки международных многоязычных сайтов, включая RTL-языки.
— Навыки работы с CI/CD, мониторингом ошибок (Sentry или аналоги), релизами и откатами, способность оперативно решать проблемы в продакшене.
— Готовность работать с легаси-кодом (PHP, Pug), понимание принципов тестирования и code review.
— Опыт технического лидерства: организация работы небольшой команды, декомпозиция задач, развитие менее опытных разработчиков.
— Продуктовая ориентация: понимание влияния технических решений на бизнес-метрики, взаимодействие с продуктом, дизайном и смежными командами.
— Самостоятельность, ответственность, проактивность, ориентация на результат и готовность брать ownership за техническое состояние продукта.
Условия:
— Возможность влиять на результат и процессы.
— Высокая скорость и гибкость в принятии решений.
— Использование современных технологий и лучших мировых практик.
— Работа в мультикультурной команде экспертов.
— Постоянные вызовы и возможность выбора инструментов и путей решения проблем.
— Возможность работы и трудоустройства в любой точке мира.
— Комфортные условия: медицинская компенсация, конкурентная зарплата, уютные офисы, гибридный режим работы или полностью remote.
УдалённоseniorГеография найма не уточнена, офис: Москва
Location: San Francisco; New York
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
As Manager (Player & Coach) of the Solution Architect team, you will lead and mentor a team of Solution Architects who will partner closely with Sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. Applying both hands-on technical ownership and managerial leadership, you will guide your team through the processes of owning discovery calls, demos, technical scoping and driving POCs through to execution as well as designing, deploying, and managing high performance, low latency AI applications on Baseten’s platform.
You will also partner with product, infrastructure, and other customer engineering teams to ensure that large language models (LLMs) and other generative AI systems deliver best-in-class performance, reliability, and cost efficiency in production environments.
EXAMPLE INITIATIVES
Take a look at these blog posts written by members of our Forward Deployed Engineering team:
- Forward Deployed Engineering on the frontier of AI https://www.baseten.co/blog/forward-deployed-engineering/
- The fastest, most accurate Whisper transcription https://www.baseten.co/blog/the-fastest-most-accurate-and-cost-efficient-whisper-transcription/
- Deploy production-ready model servers from Docker images https://www.baseten.co/blog/deploy-production-model-servers-from-docker-images/
- Deploy custom ComfyUI workflows as APIs https://www.baseten.co/blog/deploying-custom-comfyui-workflows-as-apis/
RESPONSIBILITIES
Leadership
- Lead, mentor, and grow a team of Solution Architects, providing guidance on technical direction, project execution, and professional development.
- Set clear goals and ensure timely, high-quality delivery across multiple customer-facing projects involving LLM deployment and inference optimization.
- Collaborate with leadership to align team priorities with company and customer goals, balancing short-term delivery, widely varying customer priorities, and long-term technical initiatives.
- Player-coach – While much of this role will be leading the team, you will also be expected to be a key driver on strategic product initiatives and customer engagements. The best managers derive credibility from being able to be hands-on when needed.
Team Management - Lead a team of Solution Architects who will:
- Partner with sales on customer discovery calls (most often second calls, occasionally first calls for large accounts).
- Lead demos and technical scoping to align on success criteria, architecture, and deployment approach.
- Own benchmarking and repeatable deployments, including handling standard deployment patterns and configurations across many modalities – LLMs, embeddings, image and video generation, VoiceAI, etc.
- Advising on tradeoffs like H100s vs B200s and latency-optimized vs throughput-optimized setups.
- Driving consistent “playbook” style deployments for common models and use cases.
- Become a power user of different runtimes such as vLLM, SGLang, and TRT-LLM and all the common configurations and tradeoffs between them
- Drive POC and project execution, including:
- Scoping POCs and keeping stakeholders aligned on timeline, deliverables, and next steps.
- Acting as the “ringleader” or project manager for POCs.
- Pulling in Forward Deployed Engineering (FDE) support when deeper or more complex technical work is needed.
REQUIREMENTS
- AI/ML background and the ability to credibly discuss AI/ML topics with technical stakeholders.
- 4+ years of professional Solution Architecture/Solutions Engineering experience, including 1+ year in a leadership or mentorship capacity.
- Strong customer-facing communication skills, including the ability to run structured discovery and clarify ambiguous requirements.
- Technical depth to scope solutions, without needing to write production code.
- Ability to script and prototype as needed, including comfort “vibe coding” to move quickly in technical workflows.
NICE TO HAVE
- Experience running or supporting benchmarks for ML inference deployments.
- Familiarity with infrastructure tradeoffs relevant to inference performance and cost (for example GPU selection and latency versus throughput tuning).
- Experience serving as a cross-functional technical lead for customer POCs, including coordination across Sales and Engineering.
- Professional Software engineering experience
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Cyprus; Finland; Ireland; Malta; Montenegro; Sweden
What you'll be solving
A platform engineer opens their AI client of choice, connects it to CAST AI, and types:
"Why did our spend jump 40% in eu-west last week?"
Thirty seconds later they have an answer, pulled from live cluster state and cost data, with links back to the evidence. No dashboards. No YAML archaeology. Just a question and a correct, permission-checked answer.
Your job is to make that interaction boring. Reliably, securely, at production scale.
Behind it sits the hard part: an AI assistant that reasons over thousands of production Kubernetes clusters, a platform that safely exposes company infrastructure to external AI clients, and quality pipelines that tell us when the agent is wrong before a customer does. Get it right, and operators stop clicking through consoles entirely. Get it wrong once, and an agent gives a confidently wrong answer to someone managing production.
CAST AI already runs Kubernetes infrastructure autonomously. Our automation makes thousands of cost-and-reliability decisions a day. Cast Pilot is the team building the intelligence layer on top of that:
AI assistants for Kubernetes and the cloud itself
. Our assistant already answers thousands of questions a month from hundreds of organizations. Now we're opening the platform up: a public, permission-aware MCP server so customers can plug CAST AI straight into their own AI clients and agents, deeper connectivity across all three major clouds (AWS, GCP, Azure), and a continuous push to make our agents smarter, better grounded, and more capable.
This is greenfield AI platform work on top of battle-tested infrastructure. Most features ship in 1 to 4 weeks.
This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine.
Requirements
Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices, not just make something work. You're a
generalist
who is as comfortable debugging a distributed system as designing an auth flow or tuning an agent's behavior.
Production experience
with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
Experience building or operating large-scale SaaS platforms in production: multi-tenant systems, high volumes, and the failure modes that only show up at scale.
Solid understanding of Kubernetes. Our entire platform runs on it, and the assistants we build answer questions
about
it. You should be at home with autoscaling, scheduling, and networking concepts.
You've personally driven a complex project end-to-end.
Hands-on experience with AI coding agents and agentic development workflows. This is how we build, not just what we build.
You've used observability tooling in production.
CI/CD and DevOps practices experience.
Strong English skills, both verbal and written.
Startup mindset: adaptable, proactive, and comfortable with ambiguity.
What will make you stand out
You've built agentic systems that shipped
: MCP servers or clients, agent gateways, tool-use orchestration, RAG pipelines, evaluation frameworks, and you can talk about what broke in production and how you found out. This is the single biggest differentiator for our team.
Deep hands-on experience with one or more of AWS, GCP, or Azure, with real understanding of IAM, compute, networking, and their APIs, not just console-level usage.
Experience with LLM application quality: evaluations, prompt engineering at scale, latency and cost optimization of agent loops.
Knowledge of OAuth 2.0 / OIDC and multi-tenant authorization design.
Deep knowledge of EKS, GKE, or AKS internals.
Kubernetes or cloud-native OSS contributions.
Responsibilities
Design and build the systems behind our AI assistant: agent flows, context retrieval, and the data connections that let it reason about live Kubernetes infrastructure.
Build and evolve our
public, permission-aware MCP server
: curated tools, identity, audit, and strict safety gates, so customers can use CAST AI from their own AI clients.
Develop and maintain cloud connectivity across AWS, GCP, and Azure, and the data foundations our agents build on.
Write production Go services that interact with cloud provider APIs, the Kubernetes control plane, and LLM APIs in real time.
Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1 to 4 weeks).
Debug novel problems: an agent giving a wrong answer, a cross-cloud permission edge case, a data freshness issue that only appears at scale.
Build the quality harness: evals, telemetry, feedback loops, that let us ship agent improvements without regressions.
Contribute to product direction and backlog. Shape what gets built next, not just how it's built.
Participate in the team's on-call rotation.
Tools We Use Daily
Programming Languages:
Go
AI & Agents:
MCP (servers and clients), agent gateways, LLM provider APIs, RAG, evaluation pipelines
Cloud & Orchestration:
Kubernetes, AWS, GCP, Azure
Infrastructure as Code:
Terraform
Databases & Storage:
PostgreSQL, Cloud Object Storage, ClickHouse
Workflows & APIs:
Temporal, GCP Pub/Sub,
gRPC, REST
Observability & Product Analytics:
Prometheus, Grafana, Loki, Tempo, PostHog
CI/CD & GitOps:
GitLab/GitHub CI with ArgoCD and Kargo
What's in it for you?
Competitive salary (€6,500 to €9,000 gross, depending on the level of experience)
Work on genuinely new problems: production MCP platforms and AI assistants for Kubernetes and cloud infrastructure are not solved domains. You'll be defining them, not following a playbook.
Equity options.
Real users, fast: your work ships to hundreds of organizations in weeks, not quarters.
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development, including access to international conferences and courses.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
Hiring process
Screening call with Recruiter
Hiring Manager interview
Technical interview (system design)
Live coding
Culture Check interview with an executive
As part of our standard hiring process, a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit.
#LI-Remote
Задачи:
— Привлечение крупных медиабаинговых команд через личные связи.
— Переговоры с C-level: выявление объемов и закрытие платежных задач.
— Представление компании на конференциях и в профильных комьюнити.
— Сопровождение B2B-сделок до подключения и первых спендов.
— Развитие партнерств и масштабирование объемов сотрудничества.
Требования:
— Широкий нетворк среди медиабаинговых команд, арбитражников и affiliate-агентств.
— Успешный опыт конвертации личных связей в сделки.
Условия:
— Удаленный формат работы.
Responsibilities:
— Analyze safety, requirements, and system behavior.
Requirements:
— Knowledge or experience with STPA, statistics, ISO 26262, C#, UML, safety engineering, system engineering, Python, SysML, FMEA, and fault tree analysis.
Benefits:
— Hybrid work format in Mountain View, CA, and Pittsburgh, PA.
Salary range from $108,160 to $135,200 per year.
Задачи: не указаны явно.
Требования:
— опыт программирования на Go.
— опыт разработки REST API (коммерческий или pet-проект, на любом языке программирования).
— опыт работы с PostgreSQL (коммерческий или pet-проект): разработка запросов, оптимизация запросов, миграция схемы.
— базовый опыт работы с Linux (shell, systemd, журнал).
— опыт работы с Git.
— знание английского языка на уровне чтения технической документации.
Будет плюсом:
— опыт написания юнит-тестов, компонентных тестов, работы с моками.
— опыт работы с gRPC API.
— опыт разработки спецификации OpenAPI (любой версии).
— знакомство с Python.
— понимание принципов современной фронтенд-разработки.
— глубокое понимание конфигурации сетей Linux.
Условия:
— удалённая работа.
Отправлять резюме по ссылке: https://careers.yadro.com/vacancy/102569
Location: European Union
What you'll be solving
A platform engineer opens their AI client of choice, connects it to CAST AI, and types:
"Why did our spend jump 40% in eu-west last week?"
Thirty seconds later they have an answer, pulled from live cluster state and cost data, with links back to the evidence. No dashboards. No YAML archaeology. Just a question and a correct, permission-checked answer.
Your job is to make that interaction boring. Reliably, securely, at production scale.
Behind it sits the hard part: an AI assistant that reasons over thousands of production Kubernetes clusters, a platform that safely exposes company infrastructure to external AI clients, and quality pipelines that tell us when the agent is wrong before a customer does. Get it right, and operators stop clicking through consoles entirely. Get it wrong once, and an agent gives a confidently wrong answer to someone managing production.
CAST AI already runs Kubernetes infrastructure autonomously. Our automation makes thousands of cost-and-reliability decisions a day. Cast Pilot is the team building the intelligence layer on top of that:
AI assistants for Kubernetes and the cloud itself
. Our assistant already answers thousands of questions a month from hundreds of organizations. Now we're opening the platform up: a public, permission-aware MCP server so customers can plug CAST AI straight into their own AI clients and agents, deeper connectivity across all three major clouds (AWS, GCP, Azure), and a continuous push to make our agents smarter, better grounded, and more capable.
This is greenfield AI platform work on top of battle-tested infrastructure. Most features ship in 1 to 4 weeks.
This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine.
Requirements
Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices, not just make something work. You're a
generalist
who is as comfortable debugging a distributed system as designing an auth flow or tuning an agent's behavior.
Production experience
with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
Experience building or operating large-scale SaaS platforms in production: multi-tenant systems, high volumes, and the failure modes that only show up at scale.
Solid understanding of Kubernetes. Our entire platform runs on it, and the assistants we build answer questions
about
it. You should be at home with autoscaling, scheduling, and networking concepts.
You've personally driven a complex project end-to-end.
Hands-on experience with AI coding agents and agentic development workflows. This is how we build, not just what we build.
You've used observability tooling in production.
CI/CD and DevOps practices experience.
Strong English skills, both verbal and written.
Startup mindset: adaptable, proactive, and comfortable with ambiguity.
What will make you stand out
You've built agentic systems that shipped
: MCP servers or clients, agent gateways, tool-use orchestration, RAG pipelines, evaluation frameworks, and you can talk about what broke in production and how you found out. This is the single biggest differentiator for our team.
Deep hands-on experience with one or more of AWS, GCP, or Azure, with real understanding of IAM, compute, networking, and their APIs, not just console-level usage.
Experience with LLM application quality: evaluations, prompt engineering at scale, latency and cost optimization of agent loops.
Knowledge of OAuth 2.0 / OIDC and multi-tenant authorization design.
Deep knowledge of EKS, GKE, or AKS internals.
Kubernetes or cloud-native OSS contributions.
Responsibilities
Design and build the systems behind our AI assistant: agent flows, context retrieval, and the data connections that let it reason about live Kubernetes infrastructure.
Build and evolve our
public, permission-aware MCP server
: curated tools, identity, audit, and strict safety gates, so customers can use CAST AI from their own AI clients.
Develop and maintain cloud connectivity across AWS, GCP, and Azure, and the data foundations our agents build on.
Write production Go services that interact with cloud provider APIs, the Kubernetes control plane, and LLM APIs in real time.
Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1 to 4 weeks).
Debug novel problems: an agent giving a wrong answer, a cross-cloud permission edge case, a data freshness issue that only appears at scale.
Build the quality harness: evals, telemetry, feedback loops, that let us ship agent improvements without regressions.
Contribute to product direction and backlog. Shape what gets built next, not just how it's built.
Participate in the team's on-call rotation.
Tools We Use Daily
Programming Languages:
Go
AI & Agents:
MCP (servers and clients), agent gateways, LLM provider APIs, RAG, evaluation pipelines
Cloud & Orchestration:
Kubernetes, AWS, GCP, Azure
Infrastructure as Code:
Terraform
Databases & Storage:
PostgreSQL, Cloud Object Storage, ClickHouse
Workflows & APIs:
Temporal, GCP Pub/Sub,
gRPC, REST
Observability & Product Analytics:
Prometheus, Grafana, Loki, Tempo, PostHog
CI/CD & GitOps:
GitLab/GitHub CI with ArgoCD and Kargo
What's in it for you?
Competitive salary (€6,500 to €9,000 gross, depending on the level of experience)
Work on genuinely new problems: production MCP platforms and AI assistants for Kubernetes and cloud infrastructure are not solved domains. You'll be defining them, not following a playbook.
Equity options.
Real users, fast: your work ships to hundreds of organizations in weeks, not quarters.
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development, including access to international conferences and courses.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
Hiring process
Screening call with Recruiter
Hiring Manager interview
Technical interview (system design)
Live coding
Culture Check interview with an executive
As part of our standard hiring process, a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit.
#LI-Remote
Վաճառքի մասնագետի պաշտոնում անհրաժեշտ է զբաղվել նոր հաճախորդների որոնմամբ և արդեն գոյություն ունեցող գործընկերների հետ հարաբերությունների ամրապնդմամբ: Աշխատանքային պարտականությունների մեջ մտնում է ապրանքների ներկայացումը, առևտրային առաջարկների պատրաստումը և բանակցությունների անցկացումը: Պետք է հետևել գործարքների ընթացքին, իրականացնել վաճառքի պլանները և կատարել շուկայի ու մրցակիցների առաջարկների վերլուծություն: Պահանջվում է վաճառքի կամ հաճախորդների հետ հարաբերությունների կառավարման ոլորտում փորձ, հաղորդակցման, բանակցությունների և արտադրանքի ներկայացման հմտություններ: Անհրաժեշտ է հայերենի իմացություն, ինչպես նաև ռուսերենի և անգլերենի գործնական մակարդակի տիրապետում: Շուկայական աշխատավարձը գնահատվում է սկսած 300,000 ՀՀ դրամից:
Задачи:
— Активные продажи и поиск новых клиентов
— Работа с существующей клиентской базой
Требования:
— Грамотная устная и письменная речь
— Доброжелательность, любовь к людям
— Пунктуальность и корректность
— Проживание в Москве обязательно, так как возможен выезд к клиентам
Условия:
— Удалённая работа
— Зарплата 50 000 рублей + процент с продаж без потолка
В отклике необходимо указать:
1. Фамилию, имя
2. Возраст
3. Город проживания
4. Е-майл, Telegram
5. Опыт работы (где работали, какие обязанности выполняли)
УдалённоМосква; Работа удаленная, но проживание в Москве обязательно, так как возможен выезд к клиентам
Location: Estonia; Greece; Latvia; Lithuania; Poland; Slovakia; Ukraine
What you'll be solving
A platform engineer opens their AI client of choice, connects it to CAST AI, and types:
"Why did our spend jump 40% in eu-west last week?"
Thirty seconds later they have an answer, pulled from live cluster state and cost data, with links back to the evidence. No dashboards. No YAML archaeology. Just a question and a correct, permission-checked answer.
Your job is to make that interaction boring. Reliably, securely, at production scale.
Behind it sits the hard part: an AI assistant that reasons over thousands of production Kubernetes clusters, a platform that safely exposes company infrastructure to external AI clients, and quality pipelines that tell us when the agent is wrong before a customer does. Get it right, and operators stop clicking through consoles entirely. Get it wrong once, and an agent gives a confidently wrong answer to someone managing production.
CAST AI already runs Kubernetes infrastructure autonomously. Our automation makes thousands of cost-and-reliability decisions a day. Cast Pilot is the team building the intelligence layer on top of that:
AI assistants for Kubernetes and the cloud itself
. Our assistant already answers thousands of questions a month from hundreds of organizations. Now we're opening the platform up: a public, permission-aware MCP server so customers can plug CAST AI straight into their own AI clients and agents, deeper connectivity across all three major clouds (AWS, GCP, Azure), and a continuous push to make our agents smarter, better grounded, and more capable.
This is greenfield AI platform work on top of battle-tested infrastructure. Most features ship in 1 to 4 weeks.
This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine.
Requirements
Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices, not just make something work. You're a
generalist
who is as comfortable debugging a distributed system as designing an auth flow or tuning an agent's behavior.
Production experience
with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
Experience building or operating large-scale SaaS platforms in production: multi-tenant systems, high volumes, and the failure modes that only show up at scale.
Solid understanding of Kubernetes. Our entire platform runs on it, and the assistants we build answer questions
about
it. You should be at home with autoscaling, scheduling, and networking concepts.
You've personally driven a complex project end-to-end.
Hands-on experience with AI coding agents and agentic development workflows. This is how we build, not just what we build.
You've used observability tooling in production.
CI/CD and DevOps practices experience.
Strong English skills, both verbal and written.
Startup mindset: adaptable, proactive, and comfortable with ambiguity.
What will make you stand out
You've built agentic systems that shipped
: MCP servers or clients, agent gateways, tool-use orchestration, RAG pipelines, evaluation frameworks, and you can talk about what broke in production and how you found out. This is the single biggest differentiator for our team.
Deep hands-on experience with one or more of AWS, GCP, or Azure, with real understanding of IAM, compute, networking, and their APIs, not just console-level usage.
Experience with LLM application quality: evaluations, prompt engineering at scale, latency and cost optimization of agent loops.
Knowledge of OAuth 2.0 / OIDC and multi-tenant authorization design.
Deep knowledge of EKS, GKE, or AKS internals.
Kubernetes or cloud-native OSS contributions.
Responsibilities
Design and build the systems behind our AI assistant: agent flows, context retrieval, and the data connections that let it reason about live Kubernetes infrastructure.
Build and evolve our
public, permission-aware MCP server
: curated tools, identity, audit, and strict safety gates, so customers can use CAST AI from their own AI clients.
Develop and maintain cloud connectivity across AWS, GCP, and Azure, and the data foundations our agents build on.
Write production Go services that interact with cloud provider APIs, the Kubernetes control plane, and LLM APIs in real time.
Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1 to 4 weeks).
Debug novel problems: an agent giving a wrong answer, a cross-cloud permission edge case, a data freshness issue that only appears at scale.
Build the quality harness: evals, telemetry, feedback loops, that let us ship agent improvements without regressions.
Contribute to product direction and backlog. Shape what gets built next, not just how it's built.
Participate in the team's on-call rotation.
Tools We Use Daily
Programming Languages:
Go
AI & Agents:
MCP (servers and clients), agent gateways, LLM provider APIs, RAG, evaluation pipelines
Cloud & Orchestration:
Kubernetes, AWS, GCP, Azure
Infrastructure as Code:
Terraform
Databases & Storage:
PostgreSQL, Cloud Object Storage, ClickHouse
Workflows & APIs:
Temporal, GCP Pub/Sub,
gRPC, REST
Observability & Product Analytics:
Prometheus, Grafana, Loki, Tempo, PostHog
CI/CD & GitOps:
GitLab/GitHub CI with ArgoCD and Kargo
What's in it for you?
Competitive salary (€6,500 to €9,000 gross, depending on the level of experience)
Work on genuinely new problems: production MCP platforms and AI assistants for Kubernetes and cloud infrastructure are not solved domains. You'll be defining them, not following a playbook.
Equity options.
Real users, fast: your work ships to hundreds of organizations in weeks, not quarters.
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development, including access to international conferences and courses.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
Hiring process
Screening call with Recruiter
Hiring Manager interview
Technical interview (system design)
Live coding
Culture Check interview with an executive
As part of our standard hiring process, a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit.
#LI-Remote
Location: Spain
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
We are looking for a
Sales Enablement Manager
to design and execute sales enablement programs that improve sales effectiveness, strengthen sales capabilities, and support revenue growth.
The ideal candidate combines strong sales knowledge with experience in developing and delivering training programs for sales teams and leaders.
How You’ll Contribute:
Program Design & Delivery:
Design and implement sales enablement programs and methodologies, including Challenger Sales, Solution Selling, territory planning, and account planning
Develop and deliver training programs for Sales Leaders and sales teams
Develop sales playbooks, frameworks, and enablement materials
Strategy Translation & Coaching:
Translate sales strategy and business goals into practical tools, processes, and training programs
Support Sales Leaders in coaching their teams and embedding new sales methodologies into day-to-day practice
Partnership & Impact:
Partner with Sales Leadership, HR/L&D, and other stakeholders to identify capability gaps and define development priorities
Measure the effectiveness of enablement programs and continuously improve them based on feedback and business results
Support the rollout and adoption of sales processes and methodologies across the organization
What You’ll Bring to Xometry:
Experience: 4+ years in Sales Enablement, Sales Training, Sales Excellence, or a similar role
Sales Methodologies: Strong understanding of B2B sales methodologies, ideally including Challenger Sales and Solution Selling
Planning: Experience with territory planning and account planning
Training: Experience designing and delivering training programs for sales teams and/or Sales Leaders
Sales Leadership: Strong understanding of the full B2B sales cycle and sales leadership practices
Communication & Stakeholder Management: Excellent communication, facilitation, and stakeholder management skills
Practical Thinking: Ability to turn complex sales concepts into practical, actionable frameworks
Languages: Fluent English; additional languages are a plus
Location: Spain
Employment Type: Full-time, remote
Working Conditions:
Employment contract with the third part (EOR)
Salary structure: monthly base salary
Corporate laptop
Reports to: VP, Sales, EMEA
Life at Xometry:
Team Spirit & Friendly Atmosphere:
We work in an open, friendly, and trusting environment that welcomes initiative; everyone is ready to help and support one another, and we celebrate wins together and appreciate everyone’s contribution
Development Opportunities:
As a fast-growing company, every new task is an interesting challenge for the team
We Care:
Ongoing, free well-being activities for our people and charity projects worldwide
Flexibility:
Speed and flexibility are among our biggest advantages, allowing us to adapt quickly and stay effective amid uncertainty
Onboarding:
A well-structured onboarding plan that brings together process, technology, and systems into one smooth experience
Please send your CV in English.
#LI-Remote
#Promoted
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Please read our
privacy policy
here.
Location: France, Lyon
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
We are looking for a
Sales Enablement Manager
to design and execute sales enablement programs that improve sales effectiveness, strengthen sales capabilities, and support revenue growth.
The ideal candidate combines strong sales knowledge with experience in developing and delivering training programs for sales teams and leaders.
How You’ll Contribute:
Program Design & Delivery:
Design and implement sales enablement programs and methodologies, including Challenger Sales, Solution Selling, territory planning, and account planning
Develop and deliver training programs for Sales Leaders and sales teams
Develop sales playbooks, frameworks, and enablement materials
Strategy Translation & Coaching:
Translate sales strategy and business goals into practical tools, processes, and training programs
Support Sales Leaders in coaching their teams and embedding new sales methodologies into day-to-day practice
Partnership & Impact:
Partner with Sales Leadership, HR/L&D, and other stakeholders to identify capability gaps and define development priorities
Measure the effectiveness of enablement programs and continuously improve them based on feedback and business results
Support the rollout and adoption of sales processes and methodologies across the organization
What You’ll Bring to Xometry:
Experience: 4+ years in Sales Enablement, Sales Training, Sales Excellence, or a similar role
Sales Methodologies: Strong understanding of B2B sales methodologies, ideally including Challenger Sales and Solution Selling
Planning: Experience with territory planning and account planning
Training: Experience designing and delivering training programs for sales teams and/or Sales Leaders
Sales Leadership: Strong understanding of the full B2B sales cycle and sales leadership practices
Communication & Stakeholder Management: Excellent communication, facilitation, and stakeholder management skills
Practical Thinking: Ability to turn complex sales concepts into practical, actionable frameworks
Languages: Fluent English; additional languages are a plus
Location: France, Lyon
Employment Type: Full-time, hybrid, 2-3 days in the office
Working Conditions:
Salary structure: monthly base salary + RSUs
Corporate laptop
Reports to: VP, Sales, EMEA
Life at Xometry:
Team Spirit & Friendly Atmosphere:
We work in an open, friendly, and trusting environment that welcomes initiative; everyone is ready to help and support one another, and we celebrate wins together and appreciate everyone’s contribution
Development Opportunities:
As a fast-growing company, every new task is an interesting challenge for the team
We Care:
Ongoing, free well-being activities for our people and charity projects worldwide
Flexibility:
Speed and flexibility are among our biggest advantages, allowing us to adapt quickly and stay effective amid uncertainty
Onboarding:
A well-structured onboarding plan that brings together process, technology, and systems into one smooth experience
Please send your CV in English.
#LI-Hybrid
#Promoted
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Please read our
privacy policy
here.
Location: Germany, Munich
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
We are looking for a
Sales Enablement Manager
to design and execute sales enablement programs that improve sales effectiveness, strengthen sales capabilities, and support revenue growth.
The ideal candidate combines strong sales knowledge with experience in developing and delivering training programs for sales teams and leaders.
How You’ll Contribute:
Program Design & Delivery:
Design and implement sales enablement programs and methodologies, including Challenger Sales, Solution Selling, territory planning, and account planning
Develop and deliver training programs for Sales Leaders and sales teams
Develop sales playbooks, frameworks, and enablement materials
Strategy Translation & Coaching:
Translate sales strategy and business goals into practical tools, processes, and training programs
Support Sales Leaders in coaching their teams and embedding new sales methodologies into day-to-day practice
Partnership & Impact:
Partner with Sales Leadership, HR/L&D, and other stakeholders to identify capability gaps and define development priorities
Measure the effectiveness of enablement programs and continuously improve them based on feedback and business results
Support the rollout and adoption of sales processes and methodologies across the organization
What You’ll Bring to Xometry:
Experience: 4+ years in Sales Enablement, Sales Training, Sales Excellence, or a similar role
Sales Methodologies: Strong understanding of B2B sales methodologies, ideally including Challenger Sales and Solution Selling
Planning: Experience with territory planning and account planning
Training: Experience designing and delivering training programs for sales teams and/or Sales Leaders
Sales Leadership: Strong understanding of the full B2B sales cycle and sales leadership practices
Communication & Stakeholder Management: Excellent communication, facilitation, and stakeholder management skills
Practical Thinking: Ability to turn complex sales concepts into practical, actionable frameworks
Languages: Fluent English; additional languages are a plus
Location: Munich, Germany
Employment Type: Full-time, hybrid, 2-3 days in the office
Working Conditions:
Salary structure: monthly base salary + RSUs
Corporate laptop
Reports to: VP, Sales, EMEA
Life at Xometry:
Team Spirit & Friendly Atmosphere:
We work in an open, friendly, and trusting environment that welcomes initiative; everyone is ready to help and support one another, and we celebrate wins together and appreciate everyone’s contribution
Development Opportunities:
As a fast-growing company, every new task is an interesting challenge for the team
We Care:
Ongoing, free well-being activities for our people and charity projects worldwide
Flexibility:
Speed and flexibility are among our biggest advantages, allowing us to adapt quickly and stay effective amid uncertainty
Onboarding:
A well-structured onboarding plan that brings together process, technology, and systems into one smooth experience
Please send your CV in English.
#LI-Hybrid
#Promoted
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Please read our
privacy policy
here.
Location: Bulgaria, Sofia
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
We are looking for a
Sales Enablement Manager
to design and execute sales enablement programs that improve sales effectiveness, strengthen sales capabilities, and support revenue growth.
The ideal candidate combines strong sales knowledge with experience in developing and delivering training programs for sales teams and leaders.
How You’ll Contribute:
Program Design & Delivery:
Design and implement sales enablement programs and methodologies, including Challenger Sales, Solution Selling, territory planning, and account planning
Develop and deliver training programs for Sales Leaders and sales teams
Develop sales playbooks, frameworks, and enablement materials
Strategy Translation & Coaching:
Translate sales strategy and business goals into practical tools, processes, and training programs
Support Sales Leaders in coaching their teams and embedding new sales methodologies into day-to-day practice
Partnership & Impact:
Partner with Sales Leadership, HR/L&D, and other stakeholders to identify capability gaps and define development priorities
Measure the effectiveness of enablement programs and continuously improve them based on feedback and business results
Support the rollout and adoption of sales processes and methodologies across the organization
What You’ll Bring to Xometry:
Experience: 4+ years in Sales Enablement, Sales Training, Sales Excellence, or a similar role
Sales Methodologies: Strong understanding of B2B sales methodologies, ideally including Challenger Sales and Solution Selling
Planning: Experience with territory planning and account planning
Training: Experience designing and delivering training programs for sales teams and/or Sales Leaders
Sales Leadership: Strong understanding of the full B2B sales cycle and sales leadership practices
Communication & Stakeholder Management: Excellent communication, facilitation, and stakeholder management skills
Practical Thinking: Ability to turn complex sales concepts into practical, actionable frameworks
Languages: Fluent English; additional languages are a plus
Location: Bulgaria
Employment Type: Full-time, hybrid
Working Conditions:
Salary structure: monthly base salary + RSUs
Health and Life insurance
Food voucher
Corporate laptop
Place of work: Remote (hybrid - after a physical office in Sofia will be opened), with occasional international travel (Lyon, France and Germany)
Reports to: VP, Sales, EMEA
Life at Xometry:
Team Spirit & Friendly Atmosphere:
We work in an open, friendly, and trusting environment that welcomes initiative; everyone is ready to help and support one another, and we celebrate wins together and appreciate everyone’s contribution
Development Opportunities:
As a fast-growing company, every new task is an interesting challenge for the team
We Care:
Ongoing, free well-being activities for our people and charity projects worldwide
Flexibility:
Speed and flexibility are among our biggest advantages, allowing us to adapt quickly and stay effective amid uncertainty
Onboarding:
A well-structured onboarding plan that brings together process, technology, and systems into one smooth experience
Please send your CV in English.
#LI-Hybrid
#Promoted
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Please read our
privacy policy
here.
Location: Москва
Мы ищем опытного Java-разработчика, который станет ключевым разработчиком ядра нашего продукта. Продукт анализирует обратную связь корпоративных клиентов банка — от сбора данных из БД до формирования рекомендаций через корпоративные LLM.
Первый этап отбора на эту вакансию – общение с AI-рекрутером. После отклика ждите сообщение от него в Сберчате, диалог займёт примерно 10 минут. Задача AI-рекрутера — уточнить недостающие детали и ускорить рассмотрение вашей кандидатуры.
AI-рекрутер только начинает свой путь, поэтому просим относиться с пониманием. Ваш опыт и участие помогут сделать его удобным и полезным для всех!
Обязанности
* проектирование и реализация архитектуры сервиса (Java-ядро и внешние API)
* разработка ядра системы: расписание, чтение БД, подготовка данных для обработки
* техническая реализация API: версионирование, безопасность, производительность, межсервисное взаимодействие
* настройка CI/CD пайплайнов, деплой и мониторинг в защищенном контуре банка
* участие в код-ревью, поддержка единых стандартов кода
* взаимодействие с системным аналитиком и LLM-инженером: реализация интеграций, решение технических вопросов.
Требования
* коммерческая разработка на Java от 3 лет
* уверенное владение Spring Boot и микросервисной архитектурой
* глубокое понимание REST API, JSON и межсервисного взаимодействия
* опыт настройки CI/CD (Jenkins/GitLab CI) и контейнеризации (Docker/K8s)
* опыт работы в защищенном контуре (банковские стандарты, защита информации, PDD/TZ)
* умение самостоятельно декомпозировать задачи и принимать технические решения
* умение понятно объяснять технические решения
* знание принципов работы с LLM и векторными базами данных.
Условия
* комфортный современный офис рядом с м. Кутузовский проспект
* график – офис
* срочный ТД до 01.08.27
* ежегодный пересмотр зарплаты, годовая премия
* корпоративный спортзал и зоны отдыха
* более 400 образовательных программ СберУниверситета для
* профессионального и карьерного развития
* расширенный ДМС, льготное страхование для семьи и корпоративная
* пенсионная программа
* гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ
* подписка Прайм с возможностью совместного использования на трёх близких.
Москва
ГибридSan Francisco; New York
seniorCyprus; Finland; Ireland; Malta; Montenegro; Sweden
Автоотклики