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Location: Singapore; Australia Workplace: Remote We are committed to providing our customers with reliable and secure services so we are building out our newly formed Site Reliability Engineering team. As one of the first joiners to our Reliability Engineering Team at ClickHouse, you will be responsible for building and leading processes to ensure the reliability, availability, scalability, and performance of our cloud infrastructure that runs ClickHouse databases. You will collaborate with different teams like Control Plane, Dataplane, Core, Security, Support and Operations and guide them to design and implement scalable, secure, highly available and fault-tolerant distributed systems. You will also own the areas of incident management and response, post-mortem analysis including running blameless postmortems, and continuous improvement of our ClickHouse services. You will be leveraging your software engineering expertise to develop software platforms and tools to optimize the operational and engineering efficiencies of ClickHouse Cloud. This role is a unique opportunity to make a significant impact on our elastic, limitless scale, high-performance, serverless ClickHouse Cloud. What will you do? - Collaborate with various engineering teams in ClickHouse to design and implement scalable, secure, and highly available systems for ClickHouse. - Establish and manage service level objectives (SLOs) and service level agreements (SLAs) for ClickHouse Cloud. - Ensure all the infrastructure components in ClickHouse Cloud (including Dataplane, Control Plane and ClickHouse Core) have monitoring and alerting in place to ensure timely detection and resolution of incidents. - Enhance and refine incident response processes and post-mortem analysis for any outages in ClickHouse Cloud including working with the support team to communicate to the impacted customers. - Continuously improve the reliability and performance of our ClickHouse services. - Plan, enable, and drive Chaos initiatives across Engineering teams, based upon internal priorities. - Manage on-call processes to respond to performance and reliability issues, and establish best practices for coordinating escalation to resolve issues and minimize downtime. About you: - Bachelor’s or Master’s degree in Computer Science or a related field. - At least 8 years of experience in Site Reliability Engineering or a related field. - Previous experience using ClickHouse in production.  - Hands on experience with Go and/or Python.  - Strong knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud Platform. - Excellent understanding of distributed databases and SQL, particularly ClickHouse is a major plus. - Hands on experience with container orchestration tools such as Kubernetes or Docker Swarm. - Strong experience with automation and configuration management tools such as Ansible, Terraform, or Puppet. - You are a strong problem solver and have solid production debugging skills. - You are passionate about efficiency, availability, scalability, and data governance. - You thrive in a fast paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward. - You have a high level of responsibility, ownership, and accountability. - Excellent communication and interpersonal skills. Note: We can only hire for candidates with a valid work authorization status in the UK, Netherlands, Sweden, Germany, France, Spain, Italy, Portugal, Poland or Czech Republic at this time.  #LI-Remote PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Задачи: - заниматься разработкой, актуализацией и сопровождением автотестов Arenadata DB (ADB); - проводить анализ запусков автотестов в Allure; - тесно взаимодействовать с разработчиками, системными аналитиками, и архитекторами в Feature Team; - развивать внутреннюю QA документацию. Требования: - обладать хорошим знанием Python 3.10 и выше; - уметь использовать тестовый фреймворк Pytest, понимать что такое fixture (или decorators), как параметризировать тест и fixture; - иметь опыт работы с ООП; - иметь опыт работы с Postgres и уметь писать SQL запросы; - иметь опыт работы с Linux и Docker; - иметь опыт тестирования API; - понимать принципы построения веб-приложений, клиент-серверной архитектуры; - проводить code-review. Будет плюсом: - опыт работы и/или администрирования Allure TestOps; - знание Ansible и опыт написания плейбуков; - знание устройства различных СУБД.

Location: Warsaw, Poland; Madrid, Spain; Tbilisi, Georgia; Yerevan, Armenia; Bratislava, Slovakia; Podgorica, Montenegro CloudLinux / TuxCare is a remote-first infrastructure and security company. More than 300 engineers build and operate products used by hosting providers, enterprises, and internal service teams worldwide. Our Infrastructure Department runs the platforms behind CloudLinux OS, Imunify, KernelCare, TuxCare ELS, and our engineering systems. We are hiring a Senior Database Reliability Engineer to join the Infrastructure DBA cell. This is a hands-on production ownership role, not a narrow ticket-processing DBA position. You will keep critical database services reliable, automate repeated work, support engineering teams, and reduce single-person dependency in our PostgreSQL, ClickHouse, MongoDB, and Redis operations. PostgreSQL is the main requirement. ClickHouse experience is a strong plus, but it is not a day-one blocker. We need a senior engineer with enough database, Linux, automation, and incident-response depth to learn our ClickHouse environment quickly and operate it safely. Your Responsibilities: Own production PostgreSQL reliability: HA design, Patroni, PgBouncer, replication, failover, upgrades, vacuum/bloat control, query tuning, locks, indexes, capacity, backups, PITR, and restore validation. Improve disaster recovery and operational evidence: tested restores, documented recovery paths, measurable RTO/RPO targets, runbooks, and safe maintenance plans. Support the wider database estate: ClickHouse, MongoDB, and Redis. You will troubleshoot incidents, review access and data-safety changes, improve monitoring, and learn the production ClickHouse patterns already in use. Automate DBA workflows with Ansible, Terraform/OpenTofu, GitLab CI/CD, scripts, and reproducible runbooks for provisioning, grants, backups, restores, health checks, and ownership metadata. Help build DBaaS-style self-service capabilities so engineering teams can request databases, access, credentials, and operational checks with less manual DBA intervention. Improve observability and incident response through Grafana, metrics, logs, SLOs, alert rules, Opsgenie routing, and clear communication during production issues. What Success Looks Like: PostgreSQL clusters have tested backup and restore paths, useful dashboards, clear ownership, and documented failover procedures. Repeated DBA tickets become automation or self-service workflows. ClickHouse operational knowledge is no longer a single-person dependency. Database incidents have owners, runbooks, evidence, and measurable recovery paths. Product and engineering teams get database help faster without sacrificing safety, auditability, or reliability. Why CloudLinux? You will work on real production infrastructure used across CloudLinux and TuxCare products. You will have a direct impact on reliability, incident response, developer experience, and operational resilience. You will also work in an AI-assisted engineering culture where automation, documentation, Claude, Codex, and careful human verification are part of the daily operating model. Requirements What We Expect From You: Deep hands-on PostgreSQL experience in business-critical production environments, typically 5+ years or equivalent depth. Strong understanding of PostgreSQL internals and operations: MVCC, WAL, transactions, locks, indexes, query planning, replication, autovacuum, bloat, major upgrades, backups, PITR, and restore testing. Proven experience with highly available databases and the ability to reason about quorum, split-brain risk, failover, rollback, and recovery. MongoDB replica sets and Percona Backup for MongoDB. Strong Linux and infrastructure fundamentals: systemd, networking, storage, filesystems, CPU/memory/disk bottlenecks, TLS, DNS, firewalls, and root-cause troubleshooting. Automation skills with Ansible and scripting. Terraform/OpenTofu, GitLab CI/CD, and merge-request based delivery are strong advantages. Ability to support more than one database engine. You do not need to be a ClickHouse expert on day one, but you must be ready to learn it quickly and take responsibility for it. Practical use of AI engineering assistants such as Claude and Codex. We expect you to use them to improve speed and quality, while personally verifying generated SQL, commands, scripts, and operational conclusions. English - upper-intermediate or higher - to ensure clear communication of progress within the teams. Nice to Have: ClickHouse operations: replication, Keeper/ZooKeeper, MergeTree engines, distributed DDL, grants, row policies, backups, query troubleshooting, and cluster recovery. Redis/Sentinel and broker/cache failure modes. Database observability, SLOs, golden signals, alert tuning, and executable incident runbooks. Building internal platforms, self-service portals, or DBaaS workflows for engineering teams. Benefits What's in it for you? A focus on professional development. Interesting and challenging projects. Fully remote work with flexible working hours, which allows you to schedule your day and work from any location worldwide. Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves. Compensation for private medical insurance. Co-working and gym/sports reimbursement. Budget for education. The opportunity to receive a reward for the most innovative idea that the company can patent. By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy ( https://cloudlinux.com/candidate-privacy-notice ), which provides detailed information on how we maintain and handle your data.

Location: Seoul ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About The Job   Mistral AI is seeking a founding Team Lead of our Applied AI Engineering Deployment team in Korea. The Applied AI Engineering Deployment team is focused on DevOps to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. This is a player-coach role with roughly 70% hands-on technical work, and 30% people leadership. Applied AI Engineers, Deployment at Mistral AI work directly with customers to quickly understand their greatest challenges and design and implement AI solutions. In this role, you’ll apply your problem-solving ability, creativity, and technical skills to help organizations use AI to drive real impact in the world. You’ll have the opportunity to gain rare insight into and contribute to some of the most important industries and institutions globally! Applied AI Engineers, Deployment responsibilities look similar to those of a startup CTO: you’ll work in small teams and own end-to-end execution of high-stakes projects. A day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing a strategy for the Applied Engineering team.   What you will do   - You’ll be responsible for onboarding customers on our products, providing guidance on deployment and integration, and ensuring the best production setup from the low-level GPU stack up to infrastructure, back-end and front-end interfaces. - You’ll work on deploying state-of-the-art AI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation. - You’ll work in collaboration with our researchers, other AI engineers, and product engineers on our most complex customer projects involving deployment, scaling, and contributing to our open-source codebases for tasks such as inference and fine-tuning. - You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders. - You’ll be the people lead for the Applied AI Engineering Deployment Team in South Korea. You will mentor and grow your direct reports, and help shape the Applied AI Engineering practice in Korea, and APAC.   About you   - You are fluent in English and Korean - You hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field - You have 8+ years of experience in engineering, with a strong DevOps or Site Reliability Engineering background - You have experience leading, mentoring, or managing engineers. Formal direct reports or informal technical leadership both count - You are comfortable being a founding lead in a new location: ambiguity, setting norms, and working across time zones - You're experienced with deploying and managing AI-based products in production environments - You are fluent in Python - You have experience with containerization technologies such as Docker and Kubernetes - You have experience with CI/CD pipelines and automated deployment tools - You have deep understanding of cloud platforms (AWS, Azure, GCP) and on-premises infrastructure - You are experienced with infrastructure as code (IaC) tools such as Terraform or Ansible - You hold strong communication skills with an ability to explain complex technical concepts in simple terms to technical and non-technical audiences   Ideally you have   - Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager - Familiarity with AI frameworks such as PyTorch or TensorFlow - Contributions to open-source projects, particularly in the space of DevOps or AI     WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris; Amsterdam; Munich; London ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE JOB   Mistral AI is seeking an Applied AI Engineer focused on DevOps to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.   Applied AI Engineers, ML Infra at Mistral AI work directly with customers to quickly understand their greatest challenges and design and implement AI solutions. In this role, you’ll apply your problem-solving ability, creativity, and technical skills to help organizations use AI to drive real impact in the world. You’ll have the opportunity to gain rare insight into and contribute to some of the most important industries and institutions globally!   Applied AI Engineers, ML Infra responsibilities look similar to those of a startup CTO: you’ll work in small teams and own end-to-end execution of high-stakes projects. A day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing a strategy for the Applied Engineering team.   WHAT YOU WILL DO   • You’ll be responsible for onboarding customers on our products, providing guidance on deployment and integration, and ensuring the best production setup from the low-level GPU stack up to infrastructure, back-end and front-end interfaces. • You’ll work on deploying state-of-the-art AI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation. • You’ll work in collaboration with our researchers, other AI engineers, and product engineers on our most complex customer projects involving deployment, scaling, and contributing to our open-source codebases for tasks such as inference and fine-tuning. • You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders.   ABOUT YOU   • You are fluent in English • You hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field • You have 2+ years of experience in a DevOps or Site Reliability Engineering role • You're experienced with deploying and managing AI-based products in production environments • You are fluent in Python • You have experience with containerization technologies such as Docker and Kubernetes • You have experience with CI/CD pipelines and automated deployment tools • You have deep understanding of cloud platforms (AWS, Azure, GCP) and on-premises infrastructure • You are experienced with infrastructure as code (IaC) tools such as Terraform or Ansible • You hold strong communication skills with an ability to explain complex technical concepts in simple terms to technical and non-technical audiences IDEALLY YOU HAVE: • Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager • Familiarity with AI frameworks such as PyTorch or TensorFlow • Contributions to open-source projects, particularly in the space of DevOps or AI     By applying, you agree to our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Компания Volna.tech ищет DevOps-инженера уровня Middle / Middle+ на финтех-проект. Роль предполагает автоматизацию развертывания, развитие инфраструктурной платформы и обеспечение отказоустойчивости систем в продуктивной среде. Задачи: • Автоматизация процессов развертывания, конфигурирования и сопровождения инфраструктуры; • Анализ, локализация и устранение технических замечаний, инцидентов и проблем эксплуатации; • Разработка и поддержка CI/CD-пайплайнов, скриптов автоматизации и решений на базе Infrastructure as Code (IaC); • Обеспечение стабильности, отказоустойчивости и наблюдаемости инфраструктурных компонентов; • Настройка и сопровождение систем мониторинга, логирования и контроля производительности; • Участие в развитии инфраструктурной платформы и внедрении лучших практик DevOps. Требования: • Опыт работы в роли DevOps-инженера от 3 лет, практический опыт внедрения и поддержки процессов автоматизации (CI/CD) и сопровождения инфраструктуры в продуктивной среде; • Опыт администрирования и сопровождения Linux-систем (настройка, диагностика, обеспечение безопасности); • Практический опыт работы с Docker и Kubernetes; • Уверенное владение инструментами Infrastructure as Code (Terraform, Ansible); • Опыт настройки и сопровождения CI/CD-процессов (GitLab CI, Jenkins); • Навыки автоматизации повседневных задач с использованием Bash и/или Python.

Location: Malta The Wow As an Observability DevOps Engineer specializing in observability platforms, you will play a pivotal role in enhancing the visibility, reliability, and performance of our systems and applications. Leveraging your expertise in modern technologies and protocols, you will be responsible for implementing, and maintaining robust observability solutions to monitor, analyse, and troubleshoot our distributed systems. This position requires passion about leveraging observability platforms to drive operational excellence and thrive in a dynamic, collaborative environment. It also requires strong technical skills in AWS, Terraform, Git workflows, and a deep understanding of DevOps principles. Our Product Development organisation is truly Global with cross functional teams spanning 6 Tech Hubs – Malta, Budapest, Stockholm, Tallinn, Kyiv and Athens. With around 1,000 professionals, the technology organisation is spear-headed by our CTO-CPO with all our talented Area Teams working together. A taster of what you will be involved with: Design, deploy, and maintain observability platforms and tools such as Prometheus, Grafana LGTM+ stack, OTel and others to provide comprehensive insights into system behaviour and performance. Collaborate with development, operations, and other cross-functional teams to integrate observability solutions into the CI/CD pipeline and automate monitoring and alerting processes. Develop custom monitoring solutions and instrumentation libraries to capture relevant metrics, logs, traces, and events across microservices architectures. Configure and optimize telemetry collection, storage, and visualization components to ensure scalability, reliability, and cost-effectiveness. Implement anomaly detection algorithms and predictive analytics to proactively identify and mitigate potential issues before they impact users. Conduct thorough root cause analysis of incidents and performance bottlenecks, leveraging observability data to drive continuous improvement initiatives. Stay abreast of emerging trends, best practices, and industry standards in observability, and assess their applicability to our environment. Provide mentorship and technical guidance to junior team members, fostering a culture of knowledge sharing and collaboration. You will be expected to form part of a 24/7 on call roster to support your engineering team during out of office incidents calls Drive automation initiatives using Terraform, Git workflows, and other DevOps tools to streamline deployment processes and improve operational efficiency. What we are looking for Hands on experience with most of the following technologies: AWS Kubernetes Helm Ansible Proficiency in scripting languages such as Python, Bash, or Go for automation and tooling development. Hands-on experience with containerization and orchestration technologies (e.g., Docker, Kubernetes) in cloud-native environments. Strong understanding of distributed systems architecture, networking concepts, and security principles. Familiarity with modern observability protocols and standards, including OpenTelemetry for unified observability. Expertise in configuring and managing monitoring solutions like Prometheus, Grafana LGTM+ stack, and APM tools. Experience with infrastructure as code (IaC) tools such as Terraform or Ansible for provisioning and configuration management. Knowledge of eBPF (extended Berkeley Packet Filter) for deep observability into the Linux kernel and user-space applications. What we offer Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 3,000+ strong, spread across 7 offices with 1,500 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in. Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Location: Malta The Wow We are looking for a skilled DevOps Engineer to help build, maintain, and optimize the infrastructure powering our world-class gaming products. In this role, you will design and implement scalable, secure, and reliable infrastructure solutions while driving DevOps best practices across the organization. You will play a key role in automating deployments, improving system reliability, and collaborating with cross-functional teams to ensure seamless delivery of our products. Key Responsibilities Design, implement, and maintain scalable infrastructure and technological solutions for production and development environments. Build, manage, and optimize CI/CD pipelines to enable efficient, reliable, and automated software deployments. Develop, enhance, and maintain monitoring, logging, and alerting systems to ensure high availability and rapid incident response. Collaborate with Engineering, Product, QA, and other stakeholders to support infrastructure needs and improve operational efficiency. Automate repetitive processes to improve deployment speed, consistency, and reliability. Troubleshoot infrastructure, deployment, and application issues while driving continuous improvements. Implement and promote DevOps best practices, including infrastructure as code, automation, and security. Support production environments, ensuring system stability, performance, and scalability. Requirements Proven experience as a DevOps Engineer or in a similar infrastructure-focused role. Hands-on experience with CI/CD tools and deployment automation. Experience with cloud platforms (e.g., AWS, Azure, or Google Cloud Platform). Strong knowledge of containerization and orchestration technologies such as Docker and Kubernetes. Experience with infrastructure as code tools such as Terraform, CloudFormation, or Ansible. Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK, Datadog, or similar). Good understanding of Linux systems, networking, and scripting (Bash, Python, or similar). Strong problem-solving skills with the ability to work in a fast-paced, collaborative environment. Excellent communication skills and the ability to work effectively across multiple teams. Nice to Have Experience within the online gaming or iGaming industry. Knowledge of security best practices and DevSecOps principles. Experience managing high-availability, distributed systems. Familiarity with GitOps workflows and modern cloud-native architectures. Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Задачи: - заниматься разработкой API и UI, актуализацией и сопровождением автотестов ADCM; - проводить анализ запусков автотестов в Allure; - тесно взаимодействовать с разработчиками, системными аналитиками, и архитекторами в Feature Team; - развивать внутреннюю QA документацию. Требования: - обладать хорошим знанием Python 3.10 и выше; - иметь опыт работы с библиотеками и фреймворками: pytest, playwright, requests; - уметь проводить тестирование и писать API и UI автотесты; - иметь опыт работы с ООП, async; - иметь опыт работы с Postgres и уметь писать SQL запросы (CRUD operations); - иметь опыт работы с Linux и Docker; - понимать принципы построения веб-приложений, клиент-серверной архитектуры; - проводить code-review; Будет плюсом: - опыт работы и/или администрирования Allure TestOps; - знание Ansible и опыт написания плейбуков; - знание устройства различных СУБД.

Location: Paris; Amsterdam; Munich; London Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE TEAM The Applied AI team is Mistral's customer-facing technical organization. We work directly with enterprise clients from pre-sales through implementation to deploy cutting-edge AI solutions that deliver measurable business impact. Our team combines deep ML expertise with strong customer engagement skills, operating like startup CTOs who own end-to-end project execution. Our SRE team works transversally across customer engagements, enabling value creation through Mistral tech - at scale. By joining the team you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral's technological vision. ABOUT THE JOB You will be one of the founding engineers of the Applied AI SRE sub-team. Your mission, alongside the team, is to build and operate the framework to ensure Mistral’s solution delivery is reliable and sustainable - and applied uniformly across all our accounts, both Mistral-hosted and customer-hosted. You should already have a strong understanding of what operational excellence looks like, and you’re ready to scale your impact. You will operate in four concurrent modes: - BUILD - Design for a fleet of Mistral platforms and apps. Build proactivity to reduce reactivity. Productize reliability, author runbooks, create SLO templates, implement observability. - RUN - Operate the Tier-1 customer environments that Mistral are contracted to operate. Ensure SLO compliance, own on-call and incident response, manage drift, partner with Technical Support as L3 escalation, champion high signal post-mortems. - ENABLE - Productize how Mistral deploy, secure, and scale our Applied AI solutions. Engineer on-demand provisioning, author security baseline packages, embed security guardrails, automate everything. - SECURE - Own the security operations layer for our customer-side deployments. Lead CVE response across the fleet, ship supply-chain integrity controls (SBOM, signed images, provenance), co-page with InfoSec on security incidents, enforce secure-config baselines. This is a framework-first, fleet management role at heart. If you're excited by the difference between solving one customer's problem and structurally solving the class of problem for every customer, this is the role. HOW WE WORK IN APPLIED AI • We care about people and outputs. • What matters is what you ship, not the time you spend on it • Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. • Always ask why. The best solutions come from deep understanding, not from copying what worked before • We say what we mean. Feedback is direct, timely, and given because we care. • No politics. Low ego, high standards. • We embrace an unstructured environment and find joy in it. ABOUT YOU • Fluent in English. • 5+ years in SRE, Production Engineering, or DevOps, with a record of shipping tooling. • Strong multi-tenant Kubernetes fluency, namespace segmentation, network policy, RBAC, admission control, operations at scale. • On-call discipline: incident response, blameless post-mortem culture, runbook-first mindset. • Observability stack in production: Prometheus, Grafana, OpenTelemetry, Loki, Tempo, Signoz. • Infrastructure as code: Terraform, Ansible (or close equivalents). • Proficient in Python and/or Golang for tooling and automation. • Security mindset: you treat secure-SDLC, CVE response, and supply-chain integrity as reliability properties of the shipped artifact, not as someone else's job. • Strong written communication skills: runbooks, post-mortems, and customer-facing incident comms are core deliverables of this role. • Comfortable operating with high autonomy in an ambiguous, fast-paced environment — and disciplined enough to defend the team's scope when work tries to spill in. • Solid Linux internals, networking debug, and distributed-systems fundamentals. STRONG PLUS • Cloud or application security background (AppSec, K8s security, supply chain — SBOM, cosign, SLSA). At least one of our early hires must bring this; if it's you, flag it. • Experience operating LLM / model-serving stacks in production • Experience with multi-cloud or on-prem hybrid customer environments (AWS, GCP, Azure, sovereign clouds). • Open-source contributions, particularly in SRE, observability, or security tooling.     By applying, you agree to our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Задачи: — Развертывание и поддержка облачной инфраструктуры в AWS (IaC через Terraform) — Администрирование кластеров Kubernetes (EKS) и управление деплоем через Helm — Настройка, оптимизация и защита пайплайнов в GitLab CI и GitHub Actions — Внедрение инструментов сканирования уязвимостей (SAST/DAST) и управление секретами в HashiCorp Vault — Настройка сквозного мониторинга и логирования (Prometheus, Grafana, ELK/Loki, Sentry), оперативное реагирование на инциденты — Участие во внедрении и поддержании практик информационной безопасности по стандарту ISO 27001 — Настройка и поддержка веб-серверов (Nginx), управление VPN, SSL/TLS сертификатами и DNS Требования: — Уверенное знание Linux (Ubuntu/RHEL) и владение Bash для автоматизации — Практический опыт работы с AWS (EKS, IAM, S3, RDS) и Ansible — Глубокое понимание процессов контейнеризации (Docker, Kubernetes) и автоматизации CI/CD — Понимание принципов сетевой безопасности, опыт работы с криптографическими протоколами и системами управления секретами — Знание принципов и практический интерес к внедрению стандартов безопасности ISO 27001 Условия: — Официальное оформление в соответствии с регламентом МФЦА (AIFC) — График работы 5/2, гибкий гибридный формат (сочетание офиса в Алматы и удаленки) с гибким началом дня — Стабильная заработная плата — Интересные и динамичные digital-проекты (включая AI-интеграции и масштабные веб-платформы) — Сильная техническая команда, минимум бюрократии и открытость к вашим технологическим инициативам

Задачи: — Развитие и поддержка IT-инфраструктуры в высоконагруженном гео распределенном проекте; — Обеспечение бесперебойной работы инфраструктуры и сервисов; — Сопровождение bare-metal кластеров k8s; — Сопровождение кластеров Clickhouse, Kafka, PostgreSQL, Aerospike; — Автоматизация процессов; — Обнаружение потенциальных проблем и участие в создании решения по их устранению; — Поиск, тестирование и внедрение новых решений, помогающих оптимизировать текущие процессы и повысить качество предоставляемых услуг; Требования: — Опыт администрирования Linux серверов; — Опыт администрирования Kubernetes; — Опыт администрирования ClickHouse, PostgreSQL, Redis; — Опыт работы с брокерами сообщений (Kafka); — Понимание принципов IaC; — Prometheus stack; — ELK/EFK; Будет плюсом: — Опыт работы с Aerospike; — Опыт использования GitLab CI; — Опыт автоматизации с помощью Ansible; — Владение любым языком программирования или скриптовым языком (Python, Bash, Go и др.); Условия: — Отсутствие дресс-кода и бюрократии; — Рабочий ноутбук на выбор: Mac или PC; — Покупка билетов до Кипра за счёт компании; — Помощь с переездом семьи из любого региона; — Рабочая виза для сотрудника и гостевая виза для членов семьи; — Предоставляем жильё на первый месяц; — Медицинская страховка и мобильная связь; — Бесплатные обеды и напитки; — Всегда полные корзины фруктов и всяких вкусняшек в офисе; — Бесплатные курсы английского и греческого языков; — Оплата занятий спортом; — Частичная оплата школ и детских садов.

Location: United States or Canada- Remote MEET CASA Casa is the secure home for your bitcoin. We’re the leading provider of Bitcoin self-custody solutions, the ultimate blend of security, privacy, and control. Our team combines deep security expertise, human-focused design, and exceptional customer service to empower our clients and build lifelong relationships. THE ROLE Casa is looking for a DevSecOps Engineer to help secure our customers, their data, and our company. As a member of our Security team, you will report to our Chief Security Officer and play a crucial role in overseeing our security architecture and culture. It will also be a unique opportunity to help develop an evolving security program consisting of efficient processes, training materials, and methodologies for all employees. The successful candidate has experience developing scalable security controls and approaches in accordance with industry standards. Compensation: $125,000-155,000 USD WHAT YOU'LL DO: Handle internal security requests and make sure employees have the tools and access they need without over-provisioning Ensure that employees have access to the tools and systems they need while maintaining least privilege access principles Onboard and offboard employees across internal systems Oversee our MDM system and stay on top of alerts Review and assess new technologies (tools, code frameworks, third-party providers, internal apps) through a security lens Help shape and refine security best practices across the org Triage and work through vulnerabilities surfaced by pen testing, static analysis, responsible disclosures, and automated alerts Keep security documentation and training materials fresh and useful Automate security processes and alerts wherever you can find the leverage Participate in a shared on-call rotation for critical production security issues Stay abreast of the latest security events and trends Participate in regular security training and certification acquisition Ensure our software development lifecycle remains secure as we continue to evolve its processes. Write infrastructure-as-code to automate deployment and management using Terraform, Ansible, or similar tools Stay current on emerging threats, security trends, and what's happening across our stack and industry Investigate and resolve infrastructure incidents to keep things running smoothly WHO YOU ARE: You have security certifications or equivalent real-world experience You think like an attacker, and a hacker mindset is genuinely how you approach problems Deep background across multiple facets of security 5+ years implementing security in Linux-based infrastructures, AWS, and code Comfortable with open-source tooling, cloud environments, and multiple operating systems Experience building security solutions that actually scale Hands-on with one or more of: penetration testing, threat modeling, code analysis, system hardening, distributed patching, vulnerability scanning Familiar with hardening AI tooling to prevent security incidents Strong communicator who can present findings to both technical and non-technical audiences Bonus points for experience or genuine interest in cryptocurrency / cryptography WHY CASA? At Casa, our mission is to empower individuals to secure their digital sovereignty, and we empower our employees to do their best work. Ownership. Private key management is the beginning of a future you can truly own, and at Casa, everyone has a role. We offer equity opportunities so our employees can benefit from what we are building together Community. Inclusivity is important to us. We value each other and our contributions. Our team, known as the Casa Space Fleet, brings out the best in everyone while having plenty of fun along the way Rest and Relaxation . We believe in the power of personal time, so we offer as much flexible time as you need. We encourage you to take at least 3 weeks off a year Health Benefits. We provide medical coverage with FSA options, dental, vision, and access to mental health providers Setup for Remote Success. Our team is both decentralized and effective. We reimburse up to $400 for anything you need to set up your home office Investment Avenues . We partner with resources so you can invest a portion of your paycheck in Bitcoin, and we also have the more traditional 401(k) option Maternity/Paternity Leave . We provide 12 weeks for maternity / 4 weeks for paternity *As Casa is a fully remote company hiring candidates around the world, our perks and benefit packages may adjust based on your location Casa is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, veteran status, genetic data, or other legally protected status

Задачи: — Поддержка и усиление AWS инфраструктуры (EC2, ALB/NLB, WAF, IAM, CloudWatch) — Управление и развитие EKS кластеров, обслуживающих Python AI сервисы — Миграция существующих сервисов в Kubernetes с использованием Terraform и Helm — Кодирование инфраструктуры с Terraform и автоматизация на уровне хостов с Ansible — Создание и улучшение CI/CD пайплайнов с GitHub Actions — Ответственность за наблюдаемость: Prometheus, Grafana, алертинг и готовность к дежурствам — Поддержка патчей ОС, сертификатов, правил WAF и общей гигиены инфраструктуры — Взаимодействие с инженерами для внедрения лучших практик и повышения надежности платформы — Создание чистой и поддерживаемой документации и плейбуков по инфраструктуре — Редкая поддержка внерабочих инцидентов Требования: — Опыт управления Linux в продакшене (Ubuntu, Amazon Linux) от 5 лет — Глубокие знания Kubernetes (желательно EKS), Helm и Terraform — Уверенность в запуске и отладке Python приложений в контейнерах — Понимание сетевых технологий, IAM и лучших практик облачной безопасности — Практический опыт работы с Nginx (Ingress и обратный прокси) — Отличные коммуникативные навыки для объяснения сложной инфраструктуры разработчикам Плюсы: — Продвинутые навыки Ansible — Опыт настройки и эксплуатации PostgreSQL или Amazon RDS — Глубокое понимание инструментов наблюдаемости (Prometheus, Grafana, Loki и др.) — Знакомство с PHP в продакшене — Опыт TDD, CI/CD и agile разработки — Опыт SRE-подобной деятельности: построение устойчивости, автоматизация, инструменты инцидентов Условия: — Гибридный онбординг с возможностью удаленной работы и поддержка релокации для кандидата и семьи — Медицинская страховка для кандидата и семьи — Бюджет на профессиональное развитие: конференции, онлайн-курсы и др. — Гибкий пакет льгот — Гибридный формат работы и щедрые отпуска — Привилегии в офисе: бесплатные обеды и перекусы — Спортивные активности, ежегодные выездные мероприятия и тимбилдинги, финансируемые компанией

Задачи: — Обеспечивать стабильную и бесперебойную работу кластеров PostgreSQL — Развёртывать новые экземпляры баз данных и кластеры — Настраивать и поддерживать решения высокой доступности (HA) — Реализовывать и поддерживать процессы резервного копирования и восстановления — Автоматизировать рутинные задачи и интегрировать утилиты управления базами данных — Мониторить производительность, выявлять узкие места и устранять их Требования: — Опыт управления командой — Глубокие знания PostgreSQL — Опыт администрирования баз данных не менее 5 лет — Владение Linux — Опыт работы с Bash и Python скриптами — Понимание принципов высокой доступности и резервного копирования — Опыт мониторинга баз данных и анализа производительности Хорошо, если есть: — Знания Docker, Jenkins, Ansible, Terraform — Опыт работы с Kubernetes (EKS или самостоятельное управление) — Знакомство с системами контроля версий (Git) — Опыт работы с Jira и Confluence — Опыт или знания в области финансов и трейдинга — Знакомство с платформой TradingView Условия: — Постоянный контракт — Гибкий график с широким диапазоном начала рабочего дня — Гибридный формат работы: удалённо и в офисе — Пакет релокации с поддержкой визы, транспортировки и проживания — Частная медицинская страховка — Премии за результаты работы — Обучение и наставничество — Премиум-подписка TradingView — Ежегодные командные мероприятия — Хорошо оборудованное рабочее место с тренажёрным залом и дополнительными бонусами

Location: Georgian office About Lineate Lineate is a US-based international software development company with over two decades of experience. From Intelligent Document Processing(IDP) and Agentic RAG systems to scalable cloud architectures, we turn complex ideas into real, measurable results. We deliver AI-driven custom solutions for FinTech, HealthTech, AdTech, and beyond, empowering businesses to grow smarter, faster, and more efficiently. Our expertise falls into three main categories: Building Custom AI Solutions: Deploying high-impact, AI-enabled technology utilizing IDP, Agentic RAG. Cloud and Data Infrastructure: Optimizing business operations with our data management and cloud computing solutions. Team Augmentation: Providing specialized experts in FinTech, AdTech, and HealthTech to integrate seamlessly and accelerate project timelines. Our goal is not just to build technology, but to build the future operating model for our clients. Role Summary The Infrastructure Engineer is responsible for the reliability, security, and continuous improvement of Lineate and customer infrastructure across cloud and on-prem environments. The role combines hands-on SRE/DevOps work — automation, observability, incident response — with support engineering for production systems. The engineer is expected to operate independently on most tasks, and drive infrastructure and tooling improvements, including the use of AI agents to automate routine operational work Accountable for • Reliability, availability, and performance of Lineate and customer production systems in accordance with agreed SLOs and support SLAs • Design, automation, and continuous improvement of cloud and on-prem infrastructure • Timely and high-quality response to incidents and escalated support requests • Security, compliance, and cost-efficiency of the infrastructure under the team's ownership • Day-to-day operations of the infrastructure owned by the team Main Responsibilities • Participate in a 24/7 shift schedule • Monitor systems and respond to automated alerts in line with Lineate support SLAs Diagnose and resolve system problems • Operate Kubernetes workloads and Databricks resources by following team playbooks and runbooks • Perform routine system administration on Linux and Windows servers • Respond promptly and professionally to customer inquiries via Slack, email, or Zendesk • Document, categorize, and prioritize incoming support requests • Communicate the status of open requests clearly and regularly to customers • Identify and implement automation opportunities, including AI-agent-driven automation of routine operational tasks (ticket triage, runbook execution, log analysis, knowledge-base maintenance) • Drive incident resolution by coordinating triage, implementing mitigation measures, conducting root cause analysis, and leading post-incident reviews • Maintain and improve runbooks, playbooks, FAQs, and internal knowledge bases • Implement and improve observability: metrics, logs, traces, dashboards, alerting, and SLO tracking • Contribute to CI/CD pipelines and basic infrastructure automation • Follow basic information security practices (IAM, secrets handling, least privilege) • Participate in the improvement of support and infrastructure processes Necessary Qualification s: • Minimum 3 years of hands-on Linux system administration experience (required) • Minimum 2 year of hands-on experience with AWS in a production environment (required) • Working familiarity with Kubernetes — able to operate workloads, read logs, and perform standard actions by following playbooks (deep cluster-design expertise not required) • Working familiarity with AWS Databricks — able to run jobs, manage clusters, and troubleshoot using existing playbooks (deep platform expertise not required) • Practical experience using AI agents / LLM-based tooling (e.g., Claude, ChatGPT, MCP-based agents, Cursor, Copilot) to automate operational, scripting, or support tasks • At least 1 year of Windows system administration experience • Practical scripting skills in at least one of Python, Bash, Go (1+ years of practical use) • Ability to maintain existing pipelines in CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or equivalent • Proficiency with Git and standard version-control workflows • Hands-on experience with Docker and container workflows • Experience managing and maintaining production IT infrastructure • Comfortable working with a broad range of open-source technologies and tools Preferred: • Infrastructure as Code: Terraform (preferred), Ansible, or CloudFormation • Observability stack: Prometheus, Grafana, ELK/Loki, Datadog, CloudWatch, or equivalent—including building dashboards and alerts • Networking fundamentals: TCP/IP, DNS, HTTP(S), TLS, VPN, load balancers, VPC design ,basic firewall and routing • Cloud security: IAM, KMS, secrets management (AWS Secrets Manager, HashiCorp Vault), least-privilege design, audit logging • Database operations: PostgreSQL, MySQL, or Redis — backups, restores, basic tuning, monitoring • Incident management practices: on-call rotations, runbooks, SLI/SLO/SLA, blameless postmortems • Familiarity with data-platform concepts: Spark/PySpark basics, ETL pipelines (in the context of Databricks) • Experience writing and maintaining MCP servers, prompt-based automations, or AI-driven runbooks is a plus Exposure to GCP or Azure in addition to AWS We offer Freedom to Develop - equal opportunity to learn and grow professionally Clear career and professional path, strong performance management system Social Benefits Package Equipment English lesson Gym membership All the advantages of working in an international IT company Flexible vacation time Fun and inclusive in-person and digital events Lineate is proud to be an Equal Opportunity Employer - We do not hire on the basis of race, colour, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by Georgian legislation. All employment is decided based on qualifications, merit, and business ne ed. Learn more about Lineate at our website: www.lineate.

Location: Krakow, Poland; Krosno, Poland; Lublin, Poland; Poland; Poznan, Poland; Warsaw, Poland; Pilsen, Czechia; Praha, Czechia; Riga, Latvia; Vilnius, Lithuania; Athens, Greece; Crete, Greece; Budapest, Hungary; Miskolc, Hungary; Brussels, Belgium; Liège, Belgium; Mons, Belgium; Namur, Belgium; Sofia, Bulgaria; Bordeaux, France; Grenoble, France; Lille, France; Lyon, France; Montpellier, France; Nantes, France; Paris, France; Toulouse, France; Baden-Baden, Germany; Bad Homburg, Germany; Augsburg, Germany; Aachen, Germany; Bergisch Gladbach, Germany; Berlin, Germany; Bernau, Germany; Bielefeld, Germany; Bramsche, Germany; Chemnitz, Germany; Darmstadt, Germany; Dresden, Germany; Dusseldorf, Germany; Düsseldorf, Germany; Essen, Germany; Frankfurt, Germany; Freiburg, Germany; Geoergsmarienhütte, Germany; Görlizt, Germany; Göttingen, Germany; Greifswald, Germany; Halle, Germany; Hamburg, Germany; Hannover, Germany; Heinsberg, Germany; Karlsruhe, Germany; Kiel, Germany; Koln, Germany; Leipzig, Germany; Leverkusen, Germany; Lingen, Germany; Magdeburg, Germany; Mainz, Germany; Mittenwalde, Germany; Munich, Germany; Münster, Germany; Neu-Ulm, Germany; Neuruppin, Germany; Neuss, Germany; Nuremberg, Germany; Osnabrück, Germany; Paderborn, Germany; Potsdam, Germany; Quedlinburg, Germany; Rimbach, Germany; Rostock, Germany; Schwerin, Germany; Stuttgart, Germany; Ulm, Germany; Varel, Germany; Viechtach, Germany; Warendorf, Germany; Wiesbaden, Germany; Wuppertal, Germany; Lisbon, Portugal; Porto, Portugal; Zagreb, Croatia; Sarajevo, Bosnia and Herzegovina Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking an Senior AI DevOps / LLMOps specialist to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Key Responsibilities Automation of Build-to-Production - Design and implement robust CI/CD pipelines tailored for AI, covering model weights, dataset versioning, and application code. - Develop specialized workflows for PromptOps, ensuring that system prompts are version-controlled, tested for regressions, and deployed with the same rigor as traditional code. -Automate the deployment of Agentic workflows, managing the complexities of stateful AI interactions and multi-agent handoffs. 2. AI Infrastructure as Code (IaC) - Provision and manage high-performance compute environments (GPU clusters, TPU pods) using Terraform, Pulumi, or Ansible. - Define and enforce Policy-as-Code for AI endpoints to ensure compliance with security, cost-usage limits, and data residency requirements. - Maintain a consistent environment across Hybrid Infrastructure, ensuring seamless parity between On-Premises development and Cloud production. 3. Safe Experimentation & Controlled Releases - Architect Progressive Delivery strategies for AI, including Canary releases, Blue-Green deployments, and Shadowing (where new models run in parallel with production to compare outputs). - Build “Evaluation-in-the-Loop” gates within the pipeline to automatically test for bias, hallucination, and performance degradation before a release. - Implement A/B testing frameworks specifically designed for LLM outputs and agentic behavior. 4. Monitoring & Observability - Establish deep observability into Inference Endpoints, tracking metrics like tokens-per- second, latency, and drift in model accuracy. -Integrate feedback loops that capture production “edge cases” to feed back into the training and fine-tuning pipelines. Must-Have Technical Skills: -Orchestration: Advanced Kubernetes (K8s) skills, specifically with KubeFlow, Ray, or NVIDIA Triton. -CI/CD & IaC: Expertise in GitHub Actions/GitLab CI, and Terraform or Pulumi. - AI Tooling: Experience with Weights & Biases, MLflow, LangSmith, or Arize Phoenix. -Hardware: Understanding of GPU virtualization, CUDA drivers, and on-premises hardware management. -Security: Familiarity with Open Policy Agent (OPA) and secret management (Vault). Experience: - 10+ years in DevOps, SRE, or Cloud Engineering. - 2+ years of hands-on experience in MLOps or LLMOps, specifically moving LLMs from notebook to production. -Proven experience managing Hybrid Cloud environments (e.g., AWS/Azure + Private Data Center).

Location: Hybrid / Berlin Orcrist is building a next generation data intelligence platform using cutting-edge technologies. We're handling petabyte-scale data with sub-second queries. Our product is a Kubernetes‑based platform delivered as B2B SaaS or as a self‑hosted on‑prem solution, including air‑gapped deployments. We enable customers across defense, law enforcement, and enterprise to turn mission-critical data into actionable intelligence. Role You'll own the layer everything else runs on: bare-metal servers, operating systems, data-center networking, and storage across on-prem and fully air-gapped sites — the physical and infrastructure foundation our platform and GPU fleets are built on. You design, build, and operate server fleets with a strong automation and DevOps mindset, then partner with our SRE, MLOps, and ML teams to ensure everything running above the metal — including GPU inference — performs reliably at scale. Some of this work is hands-on at customer sites, where you size, rack, and commission self-contained server environments with no internet uplink. We weight depth in modern data-center infrastructure, networking, and automation more heavily than GPU-specific experience. A strong infrastructure and network engineer with a genuine automation mindset — even without prior GPU exposure — is a better fit for this role than a candidate with GPU expertise whose networking background is rooted in legacy, corporate-style L2 designs. What you'll do Design, size, provision, and operate bare-metal server fleets across on-prem and air-gapped environments (firmware/BIOS/UEFI, BMC via Redfish/IPMI, OS, RAID, kernel and storage tuning) using zero-touch provisioning (PXE/iPXE, MAAS/Metal3/Tinkerbell/Ironic) and automation (Ansible, Terraform, or equivalent — the tooling matters less than the automation mindset). Build and run modern data-center networking: L2/L3 design, IP Fabric, BGP and switching, and RDMA fabrics (RoCE/InfiniBand) sized to scale without ripping out the core. Engineer resilient, highly available storage (Ceph/Rook, NVMe) with capacity planning and encryption at rest. Operate confidently in air-gapped and on-prem environments: offline mirrors and registries, signed artifacts, firmware/driver lifecycle without internet access, and system hardening. Support MLOps and inference-serving fundamentals — GPU model serving (Triton/KServe/vLLM), GPU scheduling and sharing, and throughput/latency optimization — in partnership with our SRE and ML teams. Plan and run on-site build-outs: rack integration, power budgets, thermal/cooling and UPS sizing, commissioning, capacity planning, runbooks, and operator handover, with SWaP awareness for field sites. About You 5+ years in bare-metal, data-center, or systems infrastructure engineering, with hands-on ownership of physical and compute infrastructure at scale. Strong bare-metal Linux (Ubuntu, RKE2, Talos, or similar): provisioning, firmware/BMC management, PXE/iPXE, kernel and storage tuning, systemd, RAID. Real experience with infrastructure automation (Ansible, Terraform, or equivalent), Git and CI/CD, and scripting in Python, Bash, or Go. Solid, current data-center networking fundamentals: L2/L3, IP Fabric, BGP, and switching — this is a hard requirement, not a nice-to-have. RDMA (RoCE/InfiniBand) experience is a strong plus. Comfortable operating in air-gapped or on-prem environments and traveling to customer sites for builds and deployments. Practical hardware sizing literacy: power budgets, thermal/cooling, UPS sizing, and rack integration. Documentation-focused, methodical, and calm during hardware incidents. Eligible to work in Germany. Nice‑to‑haves German language (B1+); exposure to regulated or security-critical environments (e.g. BSI C5, ISO 27001, or defense-sector delivery) is a plus. NVIDIA GPU stack knowledge (drivers, CUDA, GPU Operator, MIG, DCGM) and cross-node GPU interconnect experience (NVLink, InfiniBand, NCCL). Kubernetes bare-metal fundamentals — how cluster bring-up and GPU device plugins interact with the underlying hardware, not day-to-day cluster operation. Inference optimization (vLLM, TensorRT-LLM, quantization) and familiarity with switch NOS (SONiC/Cumulus). Relevant certifications (NVIDIA, Red Hat, CKA/CKS) or field/forward-deployed engineering experience. What we offer Remote-first, Germany-wide: Work from wherever you do your best work, with regular team gatherings in Berlin and other off-site locations. Flexibility by default: Flexible working hours help you make work fit your life. Your setup, your way: Get a personal home-office equipment budget to create a workspace that works for you. 30 days of vacation: Take the time you need to recharge and come back with fresh energy. Keep growing: We invest in your personal and professional development. Get rewarded for impact: Performance bonuses are tied to agreed objectives and key results. A warm welcome: Every new team member gets a welcome goodie bag. Good people, good times: From summer and Christmas parties to regular team gatherings, we make time to celebrate together. A mission that matters: Work on challenges with tangible impact on public safety and national security.