Вакансии

Задачи: — Развивать и поддерживать IT-инфраструктуру, обеспечивать стабильность и отказоустойчивость систем. — Настраивать и сопровождать процессы CI/CD, автоматизировать развёртывание и эксплуатацию сервисов. — Работать с контейнеризацией и оркестрацией на базе Docker и Kubernetes. — Автоматизировать инфраструктурные и эксплуатационные задачи с использованием Ansible, Bash и Python. — Администрировать базы данных, обеспечивать резервное копирование, восстановление и мониторинг. — Поддерживать и оптимизировать процессы загрузки, преобразования и обработки данных (ETL). — Участвовать в развитии хранилищ данных (DWH) и витрин данных. — Настраивать мониторинг, алертинг и диагностику инфраструктуры и сервисов. — Анализировать и устранять проблемы производительности, загрузки и обработки данных. — Использовать AI-инструменты и AI-агентов для автоматизации рутинных DevOps-задач и повышения эффективности работы. Требования: — Опыт работы в DevOps и/или Data Engineering от 4 лет с практическими навыками в обоих направлениях. — Уверенное владение Linux (Ubuntu/Debian, CentOS/RHEL). — Опыт работы с Docker, Kubernetes и Helm. — Практический опыт работы с Ansible и CI/CD на базе GitLab. — Навыки автоматизации с использованием Bash и Python. — Уверенное владение SQL и опыт работы с PostgreSQL. — Опыт работы с одной или несколькими СУБД: PostgreSQL, ClickHouse, Greenplum. — Понимание принципов построения хранилищ данных (DWH) и организации ETL-процессов. — Опыт работы с Apache NiFi и/или Apache Airflow. — Опыт настройки мониторинга и алертинга (Grafana, Prometheus или аналоги). — Понимание сетевых технологий и протоколов TCP/IP, HTTP, DNS. — Умение самостоятельно решать технические задачи и взаимодействовать с проектной командой. Будет плюсом: — Практический опыт разработки ETL-процессов, хранилищ и витрин данных. — Опыт работы с Python-библиотеками SQLAlchemy и Pandas. — Знакомство с продуктами Arenadata (ADB, ADS, ADH). — Опыт работы с Hadoop, PySpark или Apache Kafka. — Опыт работы с Terraform и OpenStack. — Опыт настройки высокодоступных и масштабируемых систем. — Понимание принципов Data Quality и опыт автоматизации проверок качества данных. — Практический опыт использования AI/LLM-инструментов и AI-агентов для автоматизации инженерных задач.

Location: Redwood City, CA, United States WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! WHY BOX NEEDS YO Box is looking for a Senior Incident Commander with a strong Site Reliability Engineering (SRE) skillset and proficient Python for tooling and automation. The GTOC (Global Technical Operations Center) team protects the customer experience, and responsible for detecting customer-impacting failures early, drive rapid mitigation when they occur, coordinate production change risk, and continuously improve how Box runs incidents. In this role, you will be leading critical and blocker incidents and driving them to swift resolution, while leveraging your software engineering expertise to design and build the tools, automation, and processes that define the next generation of cloud operations. You will shape how we improve manageability, observability, and resiliency of our most critical services, and drive down MTTx so that when incidents happen, we respond faster and smarter than ever before. WHAT YOU'LL DO Own and direct live-site Critical and Blocker (and other high severity) incidents from identification and escalation through mitigation and recovery. Triage, refine, and verify the problem and customer-impact statements. Organize the incident bridge, establish clear swim lanes, coordinate SME’s resources, and lead cross-functional Incident Bridges to mitigate issues and restore service quickly. Improve Incident Platform tooling - Optimize templates, automate repetitive response steps, and develop tooling to reduce operational overhead and time to mitigate. Partner with SRE and engineering teams to deepen shared knowledge of Box's dependencies, Tier 1 journeys, failure modes. Work together to implement secure, automated workflows that close operability gaps. Lead daily change reviews of planned changes in Jira, partnering collaboratively with engineering teams to evaluate and minimize change risk. Provide day to day technical expertise and experience to the organization to address issues in globally diverse, 24x7 environments - influencing from policy and procedural decisions to key architectural and tooling insights to improve Box's Incident, Change, and Problem Management engineering capabilities. Lead projects to improve tools and processes related that enhance overall site resiliency, service manageability and observability. Represent GTOC/NOC in problem management, readiness reviews, and reliability in cross functional forums. Turn incident learnings into actionable engineering asks (such as SLOs, signal quality, rollback readiness, dependency docs) to reduce customer impact. Leverage observability APIs, PagerDuty/Jira, and internal services to make response workflows measurable and repeatable. Continuously mentor and uplift the team by running tabletop exercises and improving runbooks. WHO YOU ARE We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. 5+ years in SRE, production operations, reliability engineering, or equivalent high-scale internet/SaaS operations with repeated experience leading or co-leading major production incidents. Demonstrated Incident Commander / Technical Duty Officer (or equivalent) skill: calm under uncertainty, clear communication, ability to delegate, and judgment on when to escalate vs. when to dig deeper. Strong SRE fundamentals: SLIs/SLOs and error budgets (practical use), observability (metrics, logs, traces), golden signals, blameless postmortems, toil reduction, and “you build it, you run it” partnership with product teams. Proficient in Python for automation and tooling (not just one-off scripts): readable code, APIs, packaging or service-style tools others can run, and comfort reviewing others’ automation. Solid Linux/Unix troubleshooting; comfort in multi-tier distributed systems (app, data, network, cloud). Networking literacy sufficient for real incidents (DNS, TLS, load balancing, HTTP, basic routing/firewall concepts). Experience with cloud environments (GCP preferred; AWS/Azure also valued) and container/orchestration concepts (Kubernetes or equivalent). Excellent written and verbal communication: exec-ready impact statements, precise Slack/bridge facilitation, and documentation that others can trust under stress. Proven ability to coach and uplift others — training, mentoring, runbook quality, drills. Preferred skills Experience in a 24x7 NOC / GTOC / follow-the-sun operations center, or partnering closely with one. Hands-on with Prometheus-compatible observability (e.g. Chronosphere, Grafana), distributed tracing(e.g. SignalFx), synthetic monitoring (e.g. Catchpoint), and PagerDuty (or similar). Experience improving incident tooling (ChatOps, workflow automation, status/comms templates, drill frameworks). Familiarity with change management under pressure (emergency changes, break-glass, CAB/async approval patterns). Additional languages or tooling useful for ops automation (Go, shell, Terraform, CI/CD). Prior work mapping dependency graphs, service catalogs, or Tier 1 journey documentation. Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Redwood City Pay Range $187,000 — $233,500 USD

Location: Bulgaria; Croatia; Cyprus; Estonia; Finland; Greece; Hungary; Ireland; Latvia; Lithuania; Malta; Moldova; Montenegro; North Macedonia; Poland; Romania; Slovakia; Slovenia; Sweden; Ukraine Why Kimchi? Kimchi is the AI platform inside CAST AI. We started by helping companies run LLMs on their own Kubernetes clusters and now we're providing a managed variant of those same capabilities. Our Infrastructure today Multi-model inference (MiniMax, Kimi, GLM-5, Nemotron, DeepSeek) with intelligent routing, an OpenAI-compatible API and deployment ranging from our GPUs to your own VPC. The inference layer is the foundation and the API is what sits in front of it as the primary channel for broadly and reliably distributing our AI services and powers our own Kimchi harness. As a Senior Software Engineer, you will have the opportunity to work on different key features of our product. All of these are high-agency roles across multiple parts of the tech stack that minimize process friction that would otherwise prevent you from shipping. In every team you will own features end-to-end: design, implementation, testing, production rollout. Most projects ship in 1-4 weeks. You'll work directly with product and other engineering teams on problems that don't have textbook solutions. We are currently hiring Senior Software Engineers for the following teams Agent Platform Team: The Agent Platform squad builds the infrastructure that lets teams run fleets of AI agents securely, whether in the cloud or self-hosted, so work can move confidently from a developer's laptop to production environments. The platform enforces least-privilege access to resources, requires human approval before agents can touch anything critical, and logs every action agents take for full auditability. The goal is to give engineering and operations teams the confidence to scale up agent usage without sacrificing security, control, or visibility into what their agents are actually doing. Responsibilities: Design and build distributed systems that run agent fleets at scale across cloud and self-hosted environments, with security at its core Make every agent action observable, auditable, and governable Develop a remote-first experience of working with agents Requirements Production experience with Go or Typescript is strongly preferred; candidates without either should demonstrate strong systems programming skills in a comparable language. Strong debugging, optimization, and performance-tuning skills – including query profiling, index design, and database performance tuning beyond ORM usage. Hands-on experience with cloud platforms (AWS, GCP, or Azure) and Kubernetes is a strong plus Observability tooling (Prometheus, Grafana, OpenTelemetry), CI/CD and DevOps practices experience. Startup mindset: adaptable, proactive, and comfortable with ambiguity. Strong English skills, both verbal and written. You've personally driven a complex project end-to-end. (Agent Platform) Experience in virtualization, networking, security, and Kubernetes internals is a strong plus What’s in it for you? Competitive salary (€6,500 - €9,000 gross, depending on the level of experience). 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 Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. 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 that elevate your skills. 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, we would like to inform you that 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: Bulgaria; Croatia; Cyprus; Estonia; Finland; Greece; Hungary; Ireland; Latvia; Lithuania; Malta; Moldova; Montenegro; North Macedonia; Poland; Romania; Slovakia; Slovenia; Sweden; Ukraine Why Kimchi? Kimchi is the AI platform inside CAST AI. We started by helping companies run LLMs on their own Kubernetes clusters and now we're providing a managed variant of those same capabilities. Our Infrastructure today Multi-model inference (MiniMax, Kimi, GLM-5, Nemotron, DeepSeek) with intelligent routing, an OpenAI-compatible API and deployment ranging from our GPUs to your own VPC. The inference layer is the foundation and the API is what sits in front of it as the primary channel for broadly and reliably distributing our AI services and powers our own Kimchi harness. As a Senior Software Engineer, you will have the opportunity to work on different key features of our product. All of these are high-agency roles across multiple parts of the tech stack that minimize process friction that would otherwise prevent you from shipping. In every team you will own features end-to-end: design, implementation, testing, production rollout. Most projects ship in 1-4 weeks. You'll work directly with product and other engineering teams on problems that don't have textbook solutions. We are currently hiring Senior Software Engineers for the Harness team : OpenAI and Anthropic ship models. They also ship one harness each – the scaffolding that turns a raw model into something that can plan, execute, recover, and complete work. We ship a different kind of harness: one built for cost-conscious, long-horizon autonomy, running on inference infrastructure we control end-to-end. A decent model with a great harness beats a great model with a bad harness. We've watched this play out. The gap between what today's models can do and what you see them doing is largely a harness gap – and that gap is where we operate. Responsibilities: Architect planner/executor/evaluator pipelines – planning with a reasoning model, execution with a fast one, evaluation with a third. No self-verification. Manage agent memory and context – state persistence across sessions, context compaction, tool-call offloading Own the harness surface - TUI, MCP integrations, telemetry. Work directly with users - including our own colleagues - to identify, understand and fix pain points Requirements Production experience with Go or Typescript is strongly preferred; candidates without either should demonstrate strong systems programming skills in a comparable language. Strong debugging, optimization, and performance-tuning skills – including query profiling, index design, and database performance tuning beyond ORM usage. Hands-on experience with cloud platforms (AWS, GCP, or Azure) and Kubernetes is a strong plus Observability tooling (Prometheus, Grafana, OpenTelemetry), CI/CD and DevOps practices experience. Startup mindset: adaptable, proactive, and comfortable with ambiguity. Strong English skills, both verbal and written. You've personally driven a complex project end-to-end. (Harness) Experience on working with harnesses and creating your own AI workflows is a strong plus What’s in it for you? Competitive salary (€6,500 - €9,000 gross, depending on the level of experience). 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 Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. 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 that elevate your skills. 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, we would like to inform you that 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: Bulgaria; Croatia; Cyprus; Estonia; Finland; Greece; Hungary; Ireland; Latvia; Lithuania; Malta; Moldova; Montenegro; North Macedonia; Poland; Romania; Slovakia; Slovenia; Sweden; Ukraine Why Kimchi? Kimchi is the AI platform inside CAST AI. We started by helping companies run LLMs on their own Kubernetes clusters and now we're providing a managed variant of those same capabilities. Our Infrastructure today Multi-model inference (MiniMax, Kimi, GLM-5, Nemotron, DeepSeek) with intelligent routing, an OpenAI-compatible API and deployment ranging from our GPUs to your own VPC. The inference layer is the foundation and the API is what sits in front of it as the primary channel for broadly and reliably distributing our AI services and powers our own Kimchi harness. As a Senior Software Engineer , you will have the opportunity to work on different key features of our product. All of these are high-agency roles across multiple parts of the tech stack that minimize process friction that would otherwise prevent you from shipping. In every team you will own features end-to-end: design, implementation, testing, production rollout. Most projects ship in 1-4 weeks. You'll work directly with product and other engineering teams on problems that don't have textbook solutions. We are currently hiring Senior Software Engineers for the API Platform Team : Owns the inference API responsible for delivering our AI services across the world while making sure it's reliable and capable to scale in tandem with our company's growing ambitions, as well as our analytical platform, billing and role-based controls that enable our users to monitor and control their usage with ease - be it as a solo developer or a large enterprise. You'll own our infrastructure, datastores, analytics, observability and CI/CD pipeline. Responsibilities: Develop with observability in mind, identify bottlenecks and optimize for performance. When p99 latency climbs, you find the cause through query profiles and flame graphs instead of raising the alert threshold. Design the datastores and distributed systems behind the inference API, and keep them reliable as usage scales from a solo developer to a large enterprise. Build the billing, usage metering, and role-based controls that let users monitor and govern their own consumption. Catch correctness problems where a wrong number costs you trust. Requirements Production experience with Go or Typescript is strongly preferred; candidates without either should demonstrate strong systems programming skills in a comparable language. Strong debugging, optimization, and performance-tuning skills – including query profiling, index design, and database performance tuning beyond ORM usage. Hands-on experience with cloud platforms (AWS, GCP, or Azure) and Kubernetes is a strong plus Observability tooling (Prometheus, Grafana, OpenTelemetry), CI/CD and DevOps practices experience. Startup mindset: adaptable, proactive, and comfortable with ambiguity. Strong English skills, both verbal and written. You've personally driven a complex project end-to-end. What’s in it for you? Competitive salary (€6,500 - €9,000 gross, depending on the level of experience). 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 Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. 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 that elevate your skills. 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, we would like to inform you that 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: — разработка на Python с использованием asyncio, FastAPI — работа с брокерами и таск-менеджерами: Kafka, RabbitMQ, Celery — оптимизация запросов и проектирование схем в PostgreSQL — реализация межсервисных коммуникаций через gRPC, REST, Webhooks — написание фронтенд-компонентов на TypeScript и React — применение DevOps-практик: Docker, CI/CD, развертывание в Kubernetes — использование инструментов мониторинга Prometheus и Grafana — обеспечение покрытия кода тестами Требования: — 3+ года коммерческого опыта на Python с глубоким пониманием asyncio, FastAPI — опыт работы с Kafka, RabbitMQ, Celery — уверенные знания PostgreSQL (query tuning, schema design) — практический опыт межсервисных коммуникаций: gRPC, REST, Webhooks — опыт написания фронтенд-компонентов на TypeScript / React — понимание DevOps-практик: Docker, CI/CD, Kubernetes — опыт работы с инструментами мониторинга Prometheus / Grafana — культура покрытия кода тестами — будет плюсом опыт работы с телеком-инфраструктурой, IP-телефонией, CTI или системами контакт-центров Условия: — full-time — b2b-контракт — почасовая оплата — удалённая работа, строго по России

Задачи: — Разрабатывать и поддерживать backend-сервисы на Go. — Развивать микросервисную архитектуру и REST/gRPC API. — Работать с PostgreSQL, Redis и очередями сообщений. — Разрабатывать асинхронные процессы и интеграции. — Писать тесты, участвовать в code review. — Поддерживать надежность сервисов и разбирать production-инциденты. Требования: — Опыт в blockchain, crypto. — Работа с финансовыми транзакциями, балансами, ledger или billing. — Опыт разработки wallet, deposit/withdrawal-сервисов. — Знание OpenTelemetry, Prometheus, Grafana и других observability-инструментов. — Понимание AML/KYC, PCI DSS или GDPR. — От 3 лет коммерческой разработки на Go. — Опыт разработки и поддержки production backend-сервисов. — Понимание микросервисной архитектуры. — Опыт работы с PostgreSQL, Redis и Kafka / RabbitMQ / NATS или аналогами. — Понимание транзакционности, идемпотентности и конкурентного доступа. — Опыт написания тестов и работы с Docker. — Базовое понимание Kubernetes. — Знание HTTP, TLS, JWT/OAuth2, authentication/authorization. — Умение писать читаемый, поддерживаемый и безопасный код. Условия: — Гибридный формат работы в Минске.

Требуется Senior DevOps-инженер в команду, которая занимается проектом крупнейшего производителя ювелирной продукции. Требования: — коммерческий опыт в DevOps или SRE от 4 лет; — реальный опыт проектирования и построения инфраструктуры с нуля; — опыт эксплуатации Docker Swarm в production; — уверенное знание и production-опыт Kubernetes; — опыт настройки GitLab CI/CD, раннеров и пайплайнов для фронтенда и бэкенда; — понимание сетевой модели и проксирования через Nginx; — опыт эксплуатации Percona XtraDB Cluster / Galera в production: кворум и split-brain, SST/IST, bootstrap после падения, бэкапы через Percona XtraBackup; — опыт работы с Docker, PostgreSQL, Redis и S3-совместимым хранилищем; — опыт настройки Prometheus, Grafana, Loki и Zabbix; — готовность участвовать в архитектурных решениях, работе с командами разработки и технических переговорах с подрядчиками. Условия: — гибридный формат работы в Москве; — клубы по интересам, летний выезд на природу AGIMA Camp и корпоративные вечеринки, куда можно приглашать и свою семью; — открытость к решению любых вопросов и поддержка в создании вашего личного бренда для профессионального роста; — бесплатные билеты на культовый забег для IT-специалистов RUNIT; — участие в профильных конференциях с оплатой дороги и участия, если выступаете как спикер; — доступ к разработанным курсам по UX-дизайну, проджект-менеджменту, тимлидингу и другим направлениям.

Задачи: — Быть высшей точкой эскалации для всех критических проблем, связанных с APM, в продуктивной и песочнице средах. — Разрабатывать, поддерживать и оптимизировать дашборды мониторинга, оповещения и проверки состояния систем, специфичных для APM. — Предоставлять технические консультации высокого уровня торговцам, интегрирующим различные APM (например, Pix, Sofort, iDeal, Klarna, локальные кошельки). Требования: — Глубокое практическое понимание платежных систем, особенно моделей APM и региональных платежных регуляций. — Опыт работы с REST API, вебхуками, JSON и протоколами аутентификации. — Владение корпоративными системами мониторинга и логирования (Datadog, Grafana, Kibana, ELK Stack, Splunk). — Сильные навыки анализа данных с использованием SQL для сложного анализа транзакционных данных. — Сильный AI-ориентированный склад ума и интерес к новым AI-технологиям. Условия: — Официальный контракт. — Медицинская страховка, фитнес-пропуск, бюджет на обучение. — Возможности для повышения квалификации, карьерного роста и обмена знаниями в области AI. — Полный рабочий день в офисе Skyline tower.

Responsibilities: — Designing, deploying, configuring, and maintaining scalable monitoring, logging, and alerting platforms for production and beta/test/dev environments; — Operating Prometheus, Alertmanager, Grafana, Fluent Bit, Kafka, Fluentd, OpenSearch, and OpenSearch Dashboards, including upgrades, reliability, availability, capacity, and retention planning; — Building and maintaining reliable metrics and log collection pipelines for infrastructure and business-critical services; — Creating dashboards that provide clear, useful visibility into service health, performance, capacity, and operational risks; — Designing, tuning, and maintaining actionable alert rules and notification routing; reducing alert noise and improving incident response; — Monitoring infrastructure and application metrics and logs, troubleshooting issues, and improving stability and performance under heavy loads; — Managing metric cardinality, log volume, retention, storage consumption, and query performance to keep observability platforms scalable and cost-effective; — Establishing high-availability and recovery approaches for observability services and validating operational readiness; Requirements: — Minimum 3 years of experience with administering Linux systems and operating monitoring, logging, or observability systems; — Experience with Debian-based systems; — Experience with Docker and Kubernetes; — Hands-on experience with Prometheus, Alertmanager, and Grafana, including metric collection, alert rules, routing, and dashboards; experience with VictoriaMetrics would be a plus; — Experience with Fluent Bit, Kafka, Fluentd, OpenSearch, and OpenSearch Dashboards for log collection, transport, processing, storage, search, and visualization; — Understanding of metrics and log pipeline design, including reliability, scalability, data retention, capacity planning, and cardinality management; — Experience designing actionable alerts, reducing alert noise, and troubleshooting infrastructure and application issues using metrics and logs; — Proficiency in shell command line usage, scripting, and automation tools like Ansible/Terraform; — Python and bash scripting skills.

Ищем Senior/Senior+ DevOps Engineer в команду маркетплейса цифровых товаров. Стек: Kubernetes, Nginx, PostgreSQL, KVM/libvirt/Proxmox, шифрование, Kafka, Redis, ClickHouse, Elasticsearch, Grafana, Kibana, Prometheus, CephFS. Для автоматизации используем Python, Bash, JS. Что предстоит делать — поддерживать и развивать production-инфраструктуру; — работать с Kubernetes и сопутствующей инфраструктурой; — разбирать сложные production-инциденты и находить первопричины; — заниматься производительностью, отказоустойчивостью и масштабированием; — работать с PostgreSQL, Kafka, Redis, ClickHouse, Elasticsearch и другими инфраструктурными компонентами; — развивать мониторинг и observability через Prometheus, Grafana, Kibana и Elasticsearch; — работать с виртуализацией и storage; — автоматизировать рутинные операции; — взаимодействовать с разработчиками и доводить инфраструктурные задачи до результата. Что важно — ищем не DevOps «для настройки пайплайнов и отчётности», а сильного инженера, который способен самостоятельно разобраться с проблемой и довести её до решения; — уверенное знание Kubernetes; — сильный Linux / infrastructure background; — опыт с PostgreSQL; — опыт с KVM/libvirt/Proxmox или аналогичной виртуализацией; — понимание сетей, storage и безопасности; — опыт production troubleshooting; — Prometheus/Grafana и другие инструменты observability; — Bash/Python; — способность самостоятельно принимать технические решения. — Опыт с Kafka, Redis, ClickHouse, Elasticsearch, CephFS, CI/CD, IaC и highload будет большим плюсом. Как работаем Команды небольшие, решения принимаются максимально близко к разработке и продукту. DevOps у нас — инженерная функция, а не сервис по производству отчётности. Не строим работу вокруг KPI ради KPI и не создаём лишнюю бюрократию между разработчиками, продуктом и инфраструктурой. Нужен человек, который видит проблему, сам её разбирает и доводит решение до результата. Условия — $5 000–8 000 в месяц в зависимости от опыта и навыков; — выплата дважды в месяц: 5-го — основная часть, 20-го — аванс; — криптовалюта; — удалённая работа; — оплачиваемый отпуск — 2 × 14 дней в год; — мини-отпуска и отгулы при хороших результатах; — испытательный срок — 1 месяц; — после испытательного срока — полный расчёт по согласованной вилке и зачисление в штат; — оборудование, график, подписки, процессы, бонусы и on-call обсуждаем индивидуально. Релокация в LATAM Помогаем финансово, юридически и консультационно. Рабочую визу напрямую не оформляем. Язык Русский — основной язык коммуникации внутри команды. Английский нужен преимущественно для работы с технической документацией, поэтому достаточно базового уровня.

Задачи: – Обеспечивать отказоустойчивость работы платформы искусственного интеллекта, формировать планы аварийных переключений, применять технологии для обеспечения отказоустойчивой работы – Анализировать метрики производительности, проводить анализ причин инцидентов и ошибок работы платформы искусственного интеллекта, разрабатывать меры по недопущению повторений сбоев – Автоматизировать рутинные действия, внедрять и применять лучшие практики подхода "инфраструктура как код" – Принимать участие в проектировании и организации вычислительных ресурсов для решения новых функциональных задач и внедрения в эксплуатацию технологий, в части касающейся системного программного обеспечения оркестрации микросервисов и аппаратно-технических средств используемых в средах с применением графических ускорителей платформ искусственного интеллекта – Осуществлять администрирование системного программного обеспечения платформ искусственного интеллекта, включая операционные системы, оркестратор микросервисов, модули управления и мониторинга и другие компоненты Требования: – Опыт сопровождения Kubernetes от 3 лет – Опыт внедрения кластеров виртуализации, частных/публичных облаков с использованием GPU Nvidia для AI/ML, в т.ч. LLM – Опыт использования и развертывания Istio, haproxy, opensearch, vector, kafka, victoria metrics, vault, kyverno, calico, Kserve, multus, sriov, rdma, infiniband, patroni, postgresql, multi-tenant k8s, nvidia gpu-operator, network operator, dcgm, grafana, argo workflow, argo cd – Опыт внедрения и сопровождения систем с использованием сети Infiniband на базе коммутаторов Mellanox – Понимание работы, тюнинг и настройка OpenSM (настройка фабрик Infiniband) – Навыки использования Go\Python (создание скриптов, операторов K8S) – Знание и применение Ansible/Terraform – Понимание принципов работы NFS, S3 (опыт работы приветствуется)

Задачи: — Build and maintain CI/CD pipelines for automated testing and deployment of infrastructure services — Design and manage AWS infrastructure with Terraform — Automate network and server configuration with Ansible — Optimize cloud resources and keep costs under control — Monitor performance and troubleshoot issues — Implement security best practices and compliance automation — Work closely with development and operations teams Требования: — Strong hands-on AWS experience — Solid Terraform (IaC) skills — Ansible for configuration management and automation — Real networking fundamentals: L2/L3, VLANs, switching, routing — Overlay networks and software-defined networking — Network automation and programmability — CI/CD tools (Jenkins, GitLab CI, etc.) — Docker and Kubernetes — Python and Bash scripting — Strong troubleshooting and communication skills Плюсы: — AWS certifications (e.g. AWS Certified DevOps Engineer) — Prometheus and Grafana experience

Location: Bulgaria; Croatia; Cyprus; Finland; Hungary; Ireland; Lithuania; Malta; Moldova; Montenegro; North Macedonia; Poland; Romania; Slovenia; Sweden What you'll be solving A pod is mid-request. The node it's running on is about to disappear - Spot is pulling the instance, or Autoscaler has flagged the node as underutilized and marked it for removal. The safe move is to wait. The profitable move is to act now. Every team in this pipeline is built to close that gap: make the aggressive call and still guarantee nothing breaks. That guarantee is the hard part. Deciding which nodes to kill, which pods to move, and which storage volume to resize is a genuinely hard optimization problem - several of them are P=NP-hard in the general case - and it has to run continuously, in production, faster than a human would ever attempt it by hand. Get it right and clusters run at half the cost. Get it wrong once and you've taken down something live. This posting covers multiple teams working on different pieces of the same automation problem node placement algorithms and provisioning, deep integrations with tools like Karpenter, workload rightsizing (vertical and horizontal), moving running workloads between nodes without interrupting them, storage that scales itself, and GPU capacity optimization across clouds and regions. All of it runs in real time, in production, with no human tuning YAML in the loop. 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. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Understanding of Kubernetes internals – autoscaling and networking. You've personally driven a complex project end-to-end. Experience with AI coding agents and agentic development workflows. 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. Nice-to-haves: Deep hands-on experience with cloud platforms (AWS, GCP, or Azure) – including real understanding of how compute, networking, and storage work under the hood. Deep knowledge of EKS, GKE, or AKS internals. Container runtime experience CRI-O, runc, containerd. Cloud storage depth – block storage, CSI, volume management, filesystem internals. Low-level Linux experience: process internals, packet-level networking (NAT, iptables, conntrack, eBPF, SDN), filesystems, storage. Low-level systems programming experience in C or C++. Kubernetes or cloud-native OSS contributions. Experience with AI coding agents and agentic development workflows. Responsibilities: Design and build distributed systems that operate Kubernetes infrastructure autonomously at scale. Write production Go services that interact with AWS, GCP, and Azure APIs for real-time cloud resource management. Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1-4 weeks). Debug complex production issues across cloud providers, Kubernetes clusters, and distributed services. Collaborate with product and other engineering teams to solve problems that don't have textbook solutions. Work with time-series data, cloud provider APIs, and Kubernetes control plane internals. Contribute to product direction and backlog - shape what gets built next, not just how it's built. Participate in on-call rotation for teams that require it. Tools we use daily: Programming Languages: Go Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs Observability: Prometheus, Grafana, Loki, Tempo CI/CD & GitOps: GitLab/Github CI with ArgoCD and Kargo What’s in it for you? Competitive salary (€6,500 - €9,000 gross, depending on the level of experience) 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. Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. 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 that elevate your skills. 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, we would like to inform you that 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: — совместно с командой разработки сформировать архитектуру инфраструктуры — инфраструктура с нуля (IaC), CI/CD, наблюдаемость и алертинг, SLO и DR — эксплуатация PostgreSQL и ClickHouse — управление доступами и базовая безопасность вместе с ИБ Требования: — от 3 лет опыта в DevOps/SRE — уверенный Linux, Docker, Kubernetes — опыт администрирования PostgreSQL в продакшене — опыт с ClickHouse, Grafana, Sentry, Wazuh — опыт с Terraform, Ansible — знание Bash, Python, Go Будет плюсом: — опыт в финтехе — знание PCI DSS Условия: — офис: ул. Гоголя - Наурызбай Батыра — удалённый формат не рассматривается — новая платёжная организация, запуск с нуля — по мере роста компании предусмотрены развитие направления, участие в найме и переход к лидерской роли

Location: Armenia; Georgia; Serbia; Bulgaria; Kazakhstan FP Markets Group of Companies is a well-established multi-regulated broker, founded in Australia, offering traders access to CFD trading on Forex, Indices, Commodities, Stocks and Cryptocurrencies. We are growing and looking to recruit a Full-time Senior DevOps Engineer (remote). What You'll Do Build and maintain CI/CD pipelines for automated testing and deployment of infrastructure services Design and manage AWS infrastructure using Terraform Automate network and server configuration with Ansible Optimize cloud resources and implement cost-effective solutions Monitor system performance and troubleshoot issues Implement security best practices and compliance automation Collaborate with development and operations teams What You Bring Strong hands-on experience with AWS services Solid experience with Terraform for Infrastructure as Code Proficiency with Ansible for configuration management and automation Strong networking fundamentals including L2/L3 concepts, VLANs, switching, and routing Experience with overlay network technologies and software-defined networking Experience with network automation and programmability Hands-on experience with CI/CD tools (Jenkins, GitLab CI, etc.) Proficiency in Docker and Kubernetes Scripting skills (Python, Bash) Strong troubleshooting and communication skills Nice to Have AWS certifications (e.g., AWS Certified DevOps Engineer) Experience with monitoring tools (Prometheus, Grafana) Our offer: Welcoming, young and multicultural team with approachable leadership Ability to contribute to dynamic business at a growth phase High level of autonomy, support of ideas and putting your expertise into the best practices for the company Continuous personal development, training budget, growth with the company and opportunity to learn from industry leaders Competitive remuneration, regular salary reviews and performance-based incentive schemes Vibrant company life: from team activities to global celebrations Fully remote work Journey to FP Markets: Interview with HR (30 - 45 min) to assess match to our culture Interview with your future manager (45 min - 1 hour) to assess match to the job and the team and discuss role expectations Join our team and be a part of a professional, rapidly-growing company operating in a multicultural environment!

Location: Limassol, Cyprus FP Markets Group of Companies is a well-established multi-regulated broker, founded in Australia, offering traders access to CFD trading on Forex, Indices, Commodities, Stocks and Cryptocurrencies. We are growing and looking to recruit a Full-time Senior DevOps Engineer in our Cyprus office - a certified Great Place to Work®. What You'll Do Build and maintain CI/CD pipelines for automated testing and deployment of infrastructure services Design and manage AWS infrastructure using Terraform Automate network and server configuration with Ansible Optimize cloud resources and implement cost-effective solutions Monitor system performance and troubleshoot issues Implement security best practices and compliance automation Collaborate with development and operations teams What You Bring Strong hands-on experience with AWS services Solid experience with Terraform for Infrastructure as Code Proficiency with Ansible for configuration management and automation Strong networking fundamentals including L2/L3 concepts, VLANs, switching, and routing Experience with overlay network technologies and software-defined networking Experience with network automation and programmability Hands-on experience with CI/CD tools (Jenkins, GitLab CI, etc.) Proficiency in Docker and Kubernetes Scripting skills (Python, Bash) Strong troubleshooting and communication skills Nice to Have AWS certifications (e.g., AWS Certified DevOps Engineer) Experience with monitoring tools (Prometheus, Grafana) Our offer: A certified Great Place to Work® reflecting our commitment to a positive culture, employee well-being, and support Welcoming, young and multicultural team with approachable leadership Ability to contribute to a dynamic business at a growth phase High level of autonomy, support of ideas and putting your expertise into the best practices for the company Continuous personal development, training budget, growth with the company and opportunity to learn from industry leaders Competitive remuneration, regular salary reviews and performance-based incentive schemes Vibrant company life: from team activities to global celebrations New beautiful office in an easily accessible location with company-provided fruits, breakfasts and lunches Free access to multiple sports and wellness facilities across the country Free company-provided parking Medical insurance and pension fund after probation period A gift and a day off on your Birthday Visa and work permit support if required Journey to FP Markets: Interview with HR (30 - 45 min) Technical interview (1 h) Join our team and be a part of a professional, rapidly-growing company operating in a multicultural environment!

Location: Seattle, WA Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE We're building AI-native development practices into how this team works at a foundational level. That means infrastructure design needs to account for a new kind of collaborator: AI agents that generate, deploy, and operate software. The Staff Infrastructure Engineer on this team will keep systems running, define what safe, observable, AI-assisted infrastructure operations look like in practice, and set the standard for how the broader engineering organization follows. _______________________________________________________________________ WHAT YOU'LL WORK ON The Billing Platform Engineering team owns the systems that make Docker's commercial model real. You'll work on problems like: - How do we design infrastructure that makes AI-generated deployments safe to ship and easy to roll back? - How do we instrument billing systems so that failures — billing miscalculations, entitlement gaps, payment errors — are detected immediately and unambiguously? - How do we build infrastructure that scales with usage-based billing workloads without manual intervention? - How do we make the developer experience on this team faster and more reliable — local environments, CI/CD pipelines, deployment tooling? _______________________________________________________________________ RESPONSIBILITIES - Own and evolve the infrastructure supporting Billing Platform services: compute, storage, networking, CI/CD, and observability - Design and maintain IaC (Terraform) for billing system infrastructure on AWS; set module patterns and standards for the team - Build and own observability systems — metrics, logging, alerting — with a focus on billing accuracy and payment reliability - Define deployment patterns and runbooks that work well in an AI-agent-assisted development workflow: clear rollback procedures, safe promotion gates, automated validation - Partner with software engineers on service design — bringing infrastructure constraints and operational requirements into the conversation before code is written - Identify systemic risks and drive improvements that span team or organizational boundaries - Lead incident response for billing system issues. This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed. - Mentor engineers across the team; your technical judgment should raise the floor for everyone. _______________________________________________________________________ QUALIFICATIONS - 8+ years in platform, infrastructure, or SRE roles supporting production SaaS systems at scale - Deep AWS expertise: ECS or EKS, RDS (Postgres preferred), networking, IAM, cost management — you've operated these systems under real load and real incidents - Expert-level Terraform; you've designed reusable module patterns and set standards others follow - Experience building and owning observability stacks (Datadog, Grafana, or similar) at an organizational level — not just using them - Strong familiarity with CI/CD systems — Jenkins, GitHub Actions, or equivalent — including pipeline design and developer experience ownership - Kubernetes at an operational and architectural level - A track record of identifying systemic risks and driving improvements that span team or organizational boundaries - Security-first mindset: threat modeling, blast radius analysis, least-privilege by default, audit trails as a design requirement - Strong written English; at Staff level, written communication is how you scale your influence across teams - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience WHAT SETS YOU APART You don't wait for problems to be handed to you — you find them, frame them, and drive the solution. You've operated at a scope where your decisions affected multiple teams or systems, and you know how to build consensus and move work forward without direct authority. You've thought seriously about what infrastructure needs to look like when AI agents are generating and shipping code — safe deployment patterns, strong observability, clean rollback — and you want to help define that standard here. Experience with billing, payments, or financial systems infrastructure is a meaningful plus. _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS You will ship code in your first week. We run an agent-first development workflow — infrastructure changes start with a plan, specifications are written before generation, and every change is reviewed before it merges — and onboarding is no exception. You will get hands-on with the infrastructure supporting Billing Platform services early, shadow on-call, and build a clear picture of the system before you start making bigger changes. By the end of 30 days you will have shipped real work and know where the most important problems are. FIRST 90 DAYS You will have taken ownership of one or more infrastructure components and delivered an improvement from design to production with measurable impact. You will be an active participant in deployment and reliability discussions, bringing infrastructure constraints and operational requirements into the conversation early — before code is written. You will be a full participant in the on-call rotation and have begun shaping the team's technical direction. ONE YEAR OUTLOOK You will be the team's trusted authority on billing infrastructure. You will have driven meaningful improvements to observability, deployment safety, or platform reliability — and your work will be directly visible in the resilience and correctness of systems that handle real financial transactions for millions of Docker users. You will have helped define what AI-agent-assisted infrastructure operations look like done right, and that standard will be visible beyond this team. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $170,350 – $275,550 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE