Вакансии

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: Toronto, Canada About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. We’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices.  Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services,  Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role will require travel up to 20–50% to attend customer meetings, conferences, industry events, and other in-person team meetings, within the assigned territory. For this reason, candidates must have reliable personal or local public transportation to complete all required travel. Required travel is reimbursable in accordance with the Company's Travel & Expense Policy, as it may be amended from time to time. Compensation This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Задачи: — Самостоятельное развертывание кластера Kubernetes с нуля — Подготовка инфраструктуры для офлайн развертывания — Внедрение решений у внешних заказчиков — Настройка нод с GPU Требования: — Опыт работы DevOps от 4 лет — Практический production-опыт с Kubernetes — Уверенный Kubespray — самостоятельное развертывание кластера с нуля и понимание его архитектуры — Опыт работы в закрытых контурах без доступа к интернету — Уверенное знание Linux, Ansible, Terraform, Docker / Container Registry — Опыт работы KubeRay Operator, NVIDIA Device Plugin — Kafka, ClickHouse, Postgres, Qdrant, Traefik, Opensearch, Nats, NACK — Умение настраивать ноды с GPU — Опыт внедрения решений у внешних заказчиков — Опыт с VK Cloud, OpenStack будет плюсом Условия: — full-time — Контракт с ИП — Только для граждан РФ

Задачи: — Разработка и поддержка текущей инфраструктуры и CI/CD пайплайнов с использованием GitLab CI и ArgoCD — Поддержка развертывания приложений в тестовых и производственных средах — Настройка мониторинга и логирования, помощь в расследовании инцидентов Требования: — 7+ лет опыта в DevOps — Глубокий практический опыт работы с AWS SDK, Kubernetes, Docker и Terraform — Опыт работы с Helm, GitOps и инструментами мониторинга — Практические знания Linux, сетевых технологий и скриптов на Shell или Python — Английский C1 — Опыт работы с DevSecOps, Ansible или Go будет плюсом

Workplace: remote Location : Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world. Responsibilities : Design and run AWS infrastructure (VPC, IAM, EKS/ECS, S3, EventBridge) and manage it with Terraform across DEV, QA and Production environments Build and maintain CI/CD pipelines and a standardized deployment process for AI agent teams Keep the platform reliable in production: scaling, backups, secrets management, monitoring and alerting Put security best practices in place: network isolation, encryption, least-privilege access and SSO integration Containerize and deploy Python-based AI agents and backend services, and troubleshoot them in collaboration with the development team Develop Python-based automation and internal tooling for infrastructure management and deployment workflows What we expect : 5+ years of experience in DevOps/Cloud Engineering, including ownership of production environments Strong hands-on experience with AWS and Terraform Experience with Kubernetes (preferably EKS), Docker and Helm Experience with CI/CD tools: GitHub Actions, GitLab CI or similar Strong Python skills: writing automation and tooling, and reading, debugging and supporting backend services Experience integrating applications with identity providers via SSO (OIDC/SAML), e.g., Okta or Microsoft Entra ID Understanding of AI agent architecture and its components (LLM APIs, vector databases, agent frameworks) from an infrastructure perspective Ability to work independently and communicate directly with client stakeholders Nice to have : Familiarity with AI platforms and tools: AWS Bedrock, LangChain/LangGraph, vector databases (e.g., ChromaDB), Langfuse Experience with FastAPI Experience in pharma, life sciences or other regulated industries AWS certifications We offer : Competitive compensation Remote or office work Flexible working hours Continuous education, mentoring, and professional development programs A team with excellent tech expertise

Требования (обязательно): — опыт работы DevOps от 4 лет — практический production-опыт с Kubernetes — уверенный Kubespray — самостоятельное развертывание кластера с нуля и понимание его архитектуры — опыт работы в закрытых контурах без доступа к интернету — умение самостоятельно готовить инфраструктуру для офлайн развертывания — уверенное знание Linux, Ansible, Terraform, Docker / Container Registry — опыт работы KubeRay Operator, NVIDIA Device Plugin — Kafka, ClickHouse, Postgres, Qdrant, Traefik, Opensearch, Nats, NACK — умение настраивать ноды с GPU — опыт внедрения решений у внешних заказчиков — опыт с VK Cloud, OpenStack будет плюсом

Задачи: – Создать в компании ответственную и высокоэффективную функцию эксплуатации и DevOps. – Обеспечивать повседневное управление персоналом для DevOps-инженеров, включая регулярные индивидуальные встречи, обратную связь, мотивацию, развитие и поддержку. – Организовывать и проводить регулярные мероприятия по обмену знаниями, включая тренинги, семинары и мастер-классы для DevOps-инженеров по всей компании. – Вносить вклад в индивидуальные планы развития и профессиональный рост членов сообщества, помогая людям развивать свои навыки посредством наставничества и сотрудничества. – Способствовать внедрению передовых методов и технологий. – Принимать участие в регулярных сессиях обратной связи и оценки эффективности работы. – Помогать руководителям групп обеспечить правильное распределение рабочей нагрузки между специалистами соответствующего уровня. – Разрабатывать и поддерживать инфраструктуру как кода с использованием таких инструментов, как Terraform и Ansible. – Обеспечивать плановое техническое обслуживание, обновления, процессы резервного копирования/восстановления и планирование аварийного восстановления как в облачных, так и в локальных средах. – Сотрудничать с командами разработчиков программного обеспечения для обеспечения бесперебойного развертывания и высокой доступности системы. Требования: – Высокие навыки управления персоналом и опыт руководства командой. – Опыт наставничества над инженерами и создания культуры обмена знаниями и непрерывного обучения. – Уверенное владение навыками администрирования систем Linux. – Уверенное знание Terraform и Ansible. – Уверенное знание сетевых концепций, межсетевых экранов, балансировщиков нагрузки и DNS. – Широкое и практическое понимание вопросов безопасности в различных системах, а также способность быстро осваивать принципы работы новых технологий. – Степень бакалавра или магистра в области компьютерных наук, разработки программного обеспечения, компьютерной/сетевой инженерии или смежной технической области.

Location: Lisbon, Portugal; Porto, Portugal About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities As our PostgreSQL DBA, you will be the go-to engineer for everything data-layer: index and schema design on multi-terabyte tables, query optimization for application teams, connection pooling, upgrades, and migrations. Our PostgreSQL runs on Amazon Aurora —  operating a large, fast-growing fleet consistently: turning one-off procedures into reliable automation, keeping dozens of clusters healthy at once, and helping developers use the database well. You'll split your time between a support rotation for incoming developer requests and longer-cycle reliability and automation projects. In this role, y ou will also be responsible to: Own day-to-day PostgreSQL operations across all production data centers: index creation on large/partitioned tables, query-plan analysis, schema reviews, data migrations. Partner with application teams on data-model decisions — design, partitioning, retention, consolidation vs. standalone clusters — and push back with data when a design won't scale. Operate and tune Aurora PostgreSQL: parameter groups, replicas, failover behavior, capacity planning. Run and evolve our PgBouncer connection-pooling layer. Turn manual runbooks into released, repeatable automation: seamless upgrade, switchover, database/user provisioning, grants management (Terraform + Ansible). Drive incident response and RCAs for database-related issues, and land the follow-up actions. Maintain and improve database observability (postgres_exporter, VictoriaMetrics dashboards and alerts). Take part in the team's duty rotation handling developer requests, with protected focus time off-duty. Requirements Qualifications / Experience / Technical Skills 5+ years of hands-on operational PostgreSQL experience (DBA / database reliability role). Strong command of query plans, indexing strategy, and performance work on multi-TB tables. Production experience with managed PostgreSQL (Aurora or RDS) and a clear-eyed view of its constraints. Working proficiency with Terraform and Infrastructure-as-Code practices; comfortable in Linux. Experience with connection pooling (PgBouncer or similar) in production. Practical experience with logical replication, major-version upgrades, and low-downtime migration techniques. Scripting ability (Bash, Python or GO) and an automation-first mindset. Experience with cloud infrastructure (AWS preferred); strong incident-management and RCA skills. Nice to Haves Operational exposure to ClickHouse, OpenSearch, or Redis/Valkey, Neo4j. Kubernetes fundamentals (our poolers, proxies, and exporters run on EKS). Experience with Vault, ArgoCD, or GitOps workflows. Comfort using AI coding assistants to accelerate routine analysis and tooling. Tech Stack AWS • Aurora PostgreSQL • Kubernetes • PgBouncer • Terraform • Ansible • VictoriaMetrics • Vault • Linux (REQ ID: 2960)

Location: Sofia, Bulgaria About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities As our PostgreSQL DBA, you will be the go-to engineer for everything data-layer: index and schema design on multi-terabyte tables, query optimization for application teams, connection pooling, upgrades, and migrations. Our PostgreSQL runs on Amazon Aurora —  operating a large, fast-growing fleet consistently: turning one-off procedures into reliable automation, keeping dozens of clusters healthy at once, and helping developers use the database well. You'll split your time between a support rotation for incoming developer requests and longer-cycle reliability and automation projects. In this role, y ou will also be responsible to: Own day-to-day PostgreSQL operations across all production data centers: index creation on large/partitioned tables, query-plan analysis, schema reviews, data migrations. Partner with application teams on data-model decisions — design, partitioning, retention, consolidation vs. standalone clusters — and push back with data when a design won't scale. Operate and tune Aurora PostgreSQL: parameter groups, replicas, failover behavior, capacity planning. Run and evolve our PgBouncer connection-pooling layer. Turn manual runbooks into released, repeatable automation: seamless upgrade, switchover, database/user provisioning, grants management (Terraform + Ansible). Drive incident response and RCAs for database-related issues, and land the follow-up actions. Maintain and improve database observability (postgres_exporter, VictoriaMetrics dashboards and alerts). Take part in the team's duty rotation handling developer requests, with protected focus time off-duty. Requirements Qualifications / Experience / Technical Skills 5+ years of hands-on operational PostgreSQL experience (DBA / database reliability role). Strong command of query plans, indexing strategy, and performance work on multi-TB tables. Production experience with managed PostgreSQL (Aurora or RDS) and a clear-eyed view of its constraints. Working proficiency with Terraform and Infrastructure-as-Code practices; comfortable in Linux. Experience with connection pooling (PgBouncer or similar) in production. Practical experience with logical replication, major-version upgrades, and low-downtime migration techniques. Scripting ability (Bash, Python or GO) and an automation-first mindset. Experience with cloud infrastructure (AWS preferred); strong incident-management and RCA skills. Nice to Haves Operational exposure to ClickHouse, OpenSearch, or Redis/Valkey, Neo4j. Kubernetes fundamentals (our poolers, proxies, and exporters run on EKS). Experience with Vault, ArgoCD, or GitOps workflows. Comfort using AI coding assistants to accelerate routine analysis and tooling. Tech Stack AWS • Aurora PostgreSQL • Kubernetes • PgBouncer • Terraform • Ansible • VictoriaMetrics • Vault • Linux (REQ ID: 2960)

Location: Berlin, Germany; Frankfurt, Germany; Munich, Germany About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities As our PostgreSQL DBA, you will be the go-to engineer for everything data-layer: index and schema design on multi-terabyte tables, query optimization for application teams, connection pooling, upgrades, and migrations. Our PostgreSQL runs on Amazon Aurora —  operating a large, fast-growing fleet consistently: turning one-off procedures into reliable automation, keeping dozens of clusters healthy at once, and helping developers use the database well. You'll split your time between a support rotation for incoming developer requests and longer-cycle reliability and automation projects. In this role, y ou will also be responsible to: Own day-to-day PostgreSQL operations across all production data centers: index creation on large/partitioned tables, query-plan analysis, schema reviews, data migrations. Partner with application teams on data-model decisions — design, partitioning, retention, consolidation vs. standalone clusters — and push back with data when a design won't scale. Operate and tune Aurora PostgreSQL: parameter groups, replicas, failover behavior, capacity planning. Run and evolve our PgBouncer connection-pooling layer. Turn manual runbooks into released, repeatable automation: seamless upgrade, switchover, database/user provisioning, grants management (Terraform + Ansible). Drive incident response and RCAs for database-related issues, and land the follow-up actions. Maintain and improve database observability (postgres_exporter, VictoriaMetrics dashboards and alerts). Take part in the team's duty rotation handling developer requests, with protected focus time off-duty. Requirements Qualifications / Experience / Technical Skills 5+ years of hands-on operational PostgreSQL experience (DBA / database reliability role). Strong command of query plans, indexing strategy, and performance work on multi-TB tables. Production experience with managed PostgreSQL (Aurora or RDS) and a clear-eyed view of its constraints. Working proficiency with Terraform and Infrastructure-as-Code practices; comfortable in Linux. Experience with connection pooling (PgBouncer or similar) in production. Practical experience with logical replication, major-version upgrades, and low-downtime migration techniques. Scripting ability (Bash, Python or GO) and an automation-first mindset. Experience with cloud infrastructure (AWS preferred); strong incident-management and RCA skills. Nice to Haves Operational exposure to ClickHouse, OpenSearch, or Redis/Valkey, Neo4j. Kubernetes fundamentals (our poolers, proxies, and exporters run on EKS). Experience with Vault, ArgoCD, or GitOps workflows. Comfort using AI coding assistants to accelerate routine analysis and tooling. Tech Stack AWS • Aurora PostgreSQL • Kubernetes • PgBouncer • Terraform • Ansible • VictoriaMetrics • Vault • Linux (REQ ID: 2960)

Location: Barcelona, Spain; Madrid, Spain About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities As our PostgreSQL DBA, you will be the go-to engineer for everything data-layer: index and schema design on multi-terabyte tables, query optimization for application teams, connection pooling, upgrades, and migrations. Our PostgreSQL runs on Amazon Aurora —  operating a large, fast-growing fleet consistently: turning one-off procedures into reliable automation, keeping dozens of clusters healthy at once, and helping developers use the database well. You'll split your time between a support rotation for incoming developer requests and longer-cycle reliability and automation projects. In this role, y ou will also be responsible to: Own day-to-day PostgreSQL operations across all production data centers: index creation on large/partitioned tables, query-plan analysis, schema reviews, data migrations. Partner with application teams on data-model decisions — design, partitioning, retention, consolidation vs. standalone clusters — and push back with data when a design won't scale. Operate and tune Aurora PostgreSQL: parameter groups, replicas, failover behavior, capacity planning. Run and evolve our PgBouncer connection-pooling layer. Turn manual runbooks into released, repeatable automation: seamless upgrade, switchover, database/user provisioning, grants management (Terraform + Ansible). Drive incident response and RCAs for database-related issues, and land the follow-up actions. Maintain and improve database observability (postgres_exporter, VictoriaMetrics dashboards and alerts). Take part in the team's duty rotation handling developer requests, with protected focus time off-duty. Requirements Qualifications / Experience / Technical Skills 5+ years of hands-on operational PostgreSQL experience (DBA / database reliability role). Strong command of query plans, indexing strategy, and performance work on multi-TB tables. Production experience with managed PostgreSQL (Aurora or RDS) and a clear-eyed view of its constraints. Working proficiency with Terraform and Infrastructure-as-Code practices; comfortable in Linux. Experience with connection pooling (PgBouncer or similar) in production. Practical experience with logical replication, major-version upgrades, and low-downtime migration techniques. Scripting ability (Bash, Python or GO) and an automation-first mindset. Experience with cloud infrastructure (AWS preferred); strong incident-management and RCA skills. Nice to Haves Operational exposure to ClickHouse, OpenSearch, or Redis/Valkey, Neo4j. Kubernetes fundamentals (our poolers, proxies, and exporters run on EKS). Experience with Vault, ArgoCD, or GitOps workflows. Comfort using AI coding assistants to accelerate routine analysis and tooling. Tech Stack AWS • Aurora PostgreSQL • Kubernetes • PgBouncer • Terraform • Ansible • VictoriaMetrics • Vault • Linux (REQ ID: 2960)

Location: Ireland, Dublin Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role overview We're looking for a Staff Network Systems Engineer to help drive the transition of our global network infrastructure from manually managed and inconsistent configurations to a standardised, version-controlled and increasingly automated operating model. This hands-on staff-level individual contributor will establish Infrastructure as Code practices, reusable automation, automated validation and safe delivery pipelines. The role will reduce configuration drift, make changes repeatable and auditable, and help the wider team adopt modern software-engineering practices. Working across network engineering, security, architecture and platform teams, you'll help frame and influence technical direction, create practical standards and guardrails, and remain actively involved in enterprise network engineering and operational delivery. What you'll be doing: Assess the network estate, toolchain and operational workflows; identify sources of configuration variance, manual effort and change risk; and help define a phased modernisation roadmap. Establish the Infrastructure as Code operating model, including the authoritative source of truth, configuration standards, source control, peer review, testing, release governance and secure handling of credentials. Build reusable automation using object-oriented or comparable programming languages such as Python and Go (Golang), together with Terraform, Ansible, APIs and configuration-management tooling. Develop CI/CD pipelines with automated linting, testing, intended-state validation, drift detection, policy checks, approvals, controlled rollout and reliable rollback patterns. Partner with engineering, architecture and security teams to translate network intent into version-controlled implementations and influence reference architectures, standards, lifecycle plans and service roadmaps. Lead the safe migration of existing services into the automated model while remaining hands-on during complex delivery, business-as-usual operations, critical changes, troubleshooting and major incidents. Participate in technical authority and design-review forums, mentor engineers, and ensure automation becomes a sustainable team capability rather than knowledge held by a single specialist. What we are looking for: A strong track record of modernising network infrastructure through automation or Infrastructure as Code in a large, complex production environment. Strong software-engineering skills in object-oriented or comparable programming languages such as Python and Go (Golang), including maintainable code, structured data, API integration, testing, error handling and documentation. Practical experience with Terraform, Ansible or comparable tooling, including reusable, idempotent automation components and controlled infrastructure delivery. Strong working knowledge of Git, pull-request workflows, CI/CD pipelines, automated testing, release controls, policy enforcement and secrets management. Deep enterprise networking knowledge across routing, switching, wireless, resilient design, network access control and secure remote connectivity, together with advanced Juniper Mist, EX Series and Junos experience or equivalent platform expertise. Expert troubleshooting and engineering judgement, with experience supporting operational delivery, complex changes, major incidents and root-cause improvement. Staff-level influence and communication skills, including shaping technical direction across teams, building consensus, contributing to governance forums and developing other engineers. Desirable Experience Network APIs and data models, including REST, NETCONF, RESTCONF, JSON, YAML and YANG-based workflows. GitHub Enterprise, GitHub Actions, automated policy enforcement, artefact management and developer enablement. Azure or AWS networking, enterprise authentication, Zero Trust principles and network observability platforms. Architecture governance, technical authority panels, strategic vendor engagement and globally delivered service operations. High-availability gaming, digital-media, creative or similarly demanding production environments. Work Expectations and Measures of Success This is a staff-level role combining hands-on engineering with technical leadership across a global network environment. You'll build production automation, guide others and remain engaged with operational delivery. The objective is to establish an engineering system the team can operate and improve over time while maintaining secure, resilient and supportable network services. Success will be demonstrated through: Increased coverage of network infrastructure managed through version-controlled automation. Reduced configuration drift, manual intervention, operational toil and dependency on individual subject-matter experts. Shorter and more predictable change lead times, with improved auditability, validation and rollback confidence. Lower change-failure rates, maintained service reliability and faster recovery from configuration-related incidents. Sustained adoption of automation standards, modules and delivery practices across the wider engineering team. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. Base $109,400 - $164,000 + Bonus & Benefits. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Distributed About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location - Germany Role Summary As a Forward Deployed Engineer (FDE) at Cloudflare, you will serve as a senior technical expert and advisor for our most strategic and complex customers. This role balances deep technical expertise with hands-on, onsite engagement, where you will architect solutions, optimize performance, and drive business success by helping customers maximize the value of Cloudflare’s platform. You will collaborate cross-functionally with Sales, Support, Product, and Engineering to advocate for customer needs and influence our product roadmap. We are looking for a seasoned technologist who thrives on solving real-world challenges and acting as a trusted advisor within our customers' unique environments. Role Responsibilities Serve as a trusted advisor to key enterprise customers, providing strategic recommendations and technical insights to drive success with Cloudflare’s solutions, specifically Workers and Workers AI platforms. Lead architectural discussions, design sessions, and solution reviews to ensure the optimal application of Cloudflare’s offerings in customer environments. Diagnose complex technical issues and deliver effective, strategic solutions in close collaboration with support and product teams. Manage and navigate complex configurations, utilizing Infrastructure as Code (Terraform) to ensure operational stability for customers. Partner with Sales, Customer Success, Support, Partners, Product Management, and Engineering to ensure customer insights directly influence the product roadmap and enhance the overall experience. Advise customers on industry best practices for security, network optimization, scalability, and performance tuning tailored to their specific operational needs. Stay current with industry trends and evolving Cloudflare solutions to provide forward-thinking guidance and configuration enhancements. Role Requirements (Must-Have Skills) In Depth Experience in a technical customer-facing role such as Solutions Architect or Technical Account Manager, ideally within cloud networking, security, or web infrastructure. Extensive knowledge of Cloudflare’s Application and Security portfolio (DNS, WAF, DDoS, Bot Management, CDN) and cloud infrastructure. Hands-on experience protecting and securing web applications, APIs, and web services using WAF, DDoS, DNS, and Bot Management tools. Proven ability to work with Cloudflare products within Enterprise-level accounts. Exceptional written and verbal communication skills, with the ability to present complex topics effectively to both technical and non-technical audiences. Strong consultative skills with a track record of successfully solving complex technical problems in customer environments. Ability to translate customer requirements into practical, scalable solutions that align with Cloudflare’s technology stack. Nice-to-Have Skills Hands-on experience with coding, Cloudflare Workers, and Workers AI. Prior experience in customer onsite placement. Compensation For Germany based hires: Estimated annual salary is between €123,000 - €169,000. This role is eligible to earn incentive compensation under Cloudflare's Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan. Equity This role is eligible to participate in Cloudflare's equity plan. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Limassol, Cyprus Workplace: on-site We are looking for a hands-on DevOps Engineer with strong, recent AWS experience to join our infrastructure team. You will work in a hybrid environment spanning AWS, private OpenStack clouds, OKD, virtual machines, and bare-metal Linux servers. We are primarily looking for someone coming from an AWS/Linux/automation background. Our platform serves hundreds of thousands of requests per second across many thousands of virtual machines. We are therefore looking for someone who is already comfortable working with high-load, business-critical production systems, rather than someone whose experience has been limited to small-scale or early-stage environments. CORE STACK: AWS Terraform OpenStack (as a consumer: VMs, networking, storage) OKD / Kubernetes (OKD is the upstream of OpenShift) Helm / Helmfile Ansible GitLab CI/CD Linux Virtual machines and bare-metal servers Prometheus / VictoriaMetrics / Grafana ELK Our dedicated platform teams operate the underlying OpenStack and OKD platforms, while your team owns and operates the workloads running on top of them. Previous OpenStack or OKD expertise is not required: you will not be responsible for building OpenStack or maintaining the OKD control plane, but you should be comfortable deploying, operating, and troubleshooting workloads running on these platforms. Job Responsibilities Typical tasks in this role include: Build and evolve AWS infrastructure with Terraform — extending existing modules and writing new ones — across compute, networking, storage, IAM, databases, and load balancing (EC2, VPC, S3, RDS, ALB/NLB, IAM); Provision and manage OpenStack virtual machines and the Linux services running on them, as well as workloads running on bare-metal Linux hosts; Deploy and operate workloads in OKD using Helm and Helmfile, including maintaining charts, values, and templates, and troubleshooting deployments; Build and improve GitLab CI/CD pipelines for application and infrastructure deployments; Manage Linux systems with Ansible, including writing new roles and adapting existing ones; Own observability for your workloads: configure metric collection in Prometheus and VictoriaMetrics, maintain Grafana dashboards, set up and tune alerts, and work with centralized logging in ELK — collection, parsing, and helping teams find and understand issues in application and infrastructure logs; Work closely with Development and QA teams — supporting production systems as well as the test environments used for day-to-day development, and helping with deployments, environment configuration, infrastructure issues, and release blockers; Troubleshoot issues across infrastructure, networking, Linux, CI/CD, and application platforms, including problems that span multiple systems; Automate repetitive operational tasks and take part in infrastructure upgrades, migrations, and improvements. Review infrastructure code and work with DevOps, Development, QA, and Platform teams on changes that cross team boundaries. You’ll thrive here if you have Has strong, recent hands-on AWS experience in large-scale, high-traffic, business-critical production systems; Has solid experience with Terraform and Infrastructure as Code; Has practical experience running workloads in Kubernetes-based environments and working with Helm; Has experience building and maintaining CI/CD pipelines, preferably with GitLab CI; Has hands-on experience with Ansible, including writing or maintaining roles; Understands infrastructure networking: TCP/IP, DNS, routing, load balancing, firewalls/security groups, and connectivity troubleshooting; Has practical experience with metrics and alerting (Prometheus, VictoriaMetrics, Grafana) and centralized logging (ELK); Can troubleshoot complex problems independently and follow them across multiple layers of the stack; Is confident with Linux, virtual machines, and production infrastructure, is comfortable working outside fully managed cloud services, and understands what runs underneath the application. Comfortable using Bash, Python, or similar for automation. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. EU passport. Opportunity to obtain an EU passport after 4 years of residence Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Provident fund (Cypus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family Corporate mobile plan (unlimited in Cyprus with roaming included) Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals Professional growth support: language courses, conferences, training programs, and coaching. Peer recognition program: receive and share kudos for great work. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free breakfasts and lunches in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities. Recruitment process HR interview (45 minutes); Technical interview (1.5 hour); Final interview (1 hour); Recommendations check; Job Offer.

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building highload products used by millions of people worldwide. Operating at the scale of one of the world's top-50 websites, we solve complex engineering challenges and create solutions that power real-time entertainment for a global audience. We are looking for an experienced Database Infrastructure Engineer to join our Infrastructure team. Our goal is to ensure the reliability, scalability, security and performance of high-load relational database systems. The primary focus of this role is the administration and optimization of PostgreSQL and MariaDB clusters, automation via IaC, and the development of reliable HA/DR solutions. Job Responsibilities Database Cluster Management: Deploy, administer, upgrade, and scale PostgreSQL and MariaDB clusters in high-load production environments; High Availability & Disaster Recovery: Design and maintain HA solutions, replication topologies, failover/switchover, backup/restore , and DR plan; Infrastructure as Code: Fully automate provisioning and configuration management using Terraform and Ansible; Performance Tuning: Analyze query execution plans, optimize indexes and database parameters, investigate locking and replication lag, and tune Linux kernel parameters for specific workload profiles; Observability: Configure monitoring, dashboards, logging, alerting, and SLOs for database services; Troubleshooting: Investigate incidents, analyze logs and metrics, identify performance bottlenecks, and participate in on-call activities; Automation: Develop tools and scripts for routine operations, health checks, failover validation, maintenance, and database lifecycle management. You’ll thrive here if you have Experience: 3+ years as a DBA, DBRE, DevOps Engineer, or System Administrator with a strong focus on production relational databases; Deep understanding of PostgreSQL/MariaDB architecture and internal database processes; Building PostgreSQL/MariaDB high-availability architectures, replication, backup and performance tools; Experience HA soultions for PostgreSQL (Patroni, PgBouncer), MariaDB (MaxScale, Galera); Experience troubleshooting replication lag, deadlocks, locking issues, and transactional workloads; Hands-on experience testing failover scenarios and performing recovery from backups; Strong SQL and query optimization skills, analyze and profiling queries. IaC & Automation: Strong proficiency in Terraform, including writing reusable modules and managing state files; Experience writing complex Ansible roles and playbooks. Linux: Deep knowledge of Linux internals, filesystems, CPU, memory, disk I/O, networking, and kernel tuning for database workloads. Observability: Experience with Prometheus/VictoriaMetrics, Grafana, and the ELK stack. Scripting: Proficiency in Python or Bash for automation and operational tooling. Big Plus: Kafka & Debezium: Experience configuring CDC pipelines from PostgreSQL or MariaDB using Debezium and Kafka Connect; Kubernetes & Helm: Experience running stateful database workloads in Kubernetes, including database operators; Cloud Platforms: Experience with managed database services and cloud infrastructure; Analytical & NoSQL Databases: Knowledge of ClickHouse, MongoDB, Redis or other distributed data platforms; Security: Experience with database access control, TLS, secrets management, auditing, and encryption; Programming: Experience supporting applications written in Java, Go, Python, or similar languages. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. EU passport. Opportunity to obtain an EU passport after 4 years of residence Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Provident fund (Cypus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family Corporate mobile plan (unlimited in Cyprus with roaming included) Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals Professional growth support: language courses, conferences, training programs, and coaching. Peer recognition program: receive and share kudos for great work. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free breakfasts and lunches in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities. Recruitment process HR interview (45 minutes); Technical interview (1.5 hour); Final interview (1 hour); Recommendations check; Job Offer.

Location: Remote - US About MariaDB Are you ready to shape the infrastructure for a groundbreaking cloud database platform? MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used every day. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development. MariaDB Cloud is revolutionizing the way businesses manage their data in the cloud. We're on a mission to provide a seamless, powerful, and user-centric Database-as-a-Service (DBaaS) solution that sets new industry standards. MariaDB Cloud is a Multi-cloud Database-as-a-Service platform offering, specializing in managing MariaDB, one of the most popular open-source relational database systems. MariaDB Cloud is more than just a database; it's a comprehensive and innovative platform that delivers continuous availability, autonomous operation, and serverless capabilities. We're redefining the database experience to make it more accessible, intuitive, and efficient than ever before. The Opportunity About the Role We are seeking a Senior Software Engineer to join a small, high-ownership team building robust cloud infrastructure for our globally deployed relational database engine. You will design and implement the application layers, business logic, and API workflows at the intersection of data management, cloud operations, and relational database services—critical components that enterprise applications depend on for correctness, performance, and governance. This is a hands-on, end-to-end role. You will lead features from whiteboard to production: owning implementation, writing clean and scalable code, and leveraging deep expertise in cloud orchestration to ensure robust deployment across multi-cloud environments. Proficiency in Terraform is essential for managing our complex infrastructure and ensuring reproducible deployments. Our team is small by design, offering high individual impact and direct visibility into engineering strategy. The ideal candidate has scaled infrastructure across multiple cloud providers and approaches every challenge with an ownership mindset—shipping production-grade systems that set new industry standards. Key Responsibilities 8+ years of experience in software development with deep expertise in distributed systems and cloud-native architecture. Proven track record of designing and operating multi-cloud infrastructure at scale across AWS, GCP, and Azure. Advanced proficiency in Terraform for Infrastructure as Code (IaC) and complex cloud orchestration. Expertise in containerization and orchestration using Kubernetes and Docker in production-grade environments. Experience building and maintaining robust CI/CD pipelines for automated, scalable deployments. Strong command of Go or Python for developing cloud-native applications, controllers, and automation tooling. BS/MS in Computer Science or a related technical field. Experience designing and implementing REST and/or gRPC APIs used by external consumers or frontend systems. Knowledge of MariaDB server is a plus. Required Qualifications Experience 5+ years of professional software development experience, with at least 2 years focused on data-intensive applications, database-adjacent features, or enterprise software. Demonstrated end-to-end ownership of a non-trivial production feature or module: you have taken something from functional specification through implementation to production. Hands-on production experience deploying, debugging, and managing application services across at least two major public clouds (AWS, Azure, GCP). Experience building or integrating with vector databases, embedding pipelines, semantic search, or retrieval-augmented generation (RAG) systems. Prior work building LLM-based applications or workflows using AI agent frameworks (LangChain, LangGraph, CrewAI, AutoGen, or equivalent). Technical Skills Strong proficiency in Python for AI application development, alongside high proficiency in at least one backend language (such as Go, Java, or C++). Deep, practical application of relational databases: writing complex SQL, structural indexing, query optimization, transactions, and schema design. Experience implementing temporal data models, event-driven tracking, audit logs, or utilizing system-versioned tables. Solid understanding of application security fundamentals: authentication, authorization, RBAC, row-level security, and multi-tenant data isolation at the application layer. Proficiency with modern application monitoring tooling: structured logging, distributed tracing (OpenTelemetry), and functional alerting. Experience designing and implementing REST and/or gRPC APIs used by external consumers or frontend systems. Preferred Qualifications Experience contributing to or maintaining open-source projects in the database, AI/ML application, or agent-tooling ecosystem. Hands-on experience developing MCP servers or integrating A2A (Agent2Agent) protocols into production systems. Familiarity with agent memory frameworks such as Mem0, Graphiti, or Letta. Experience leveraging graph databases or multi-hop graph traversal (Neo4j, Kuzu, FalkorDB, or similar) within applications. Background with in-memory data grids or semantic caching systems (Redis or similar) to optimize AI token usage. Experience packaging applications for on-premises or air-gapped deployment environments, including regulated infrastructure. Knowledge of MariaDB or MySQL application development, system-versioned tables, or temporal SQL. Location & Job Info Full-Time - Remote - US Why Join Us Compensation The annual anticipated U.S. base salary range for this full-time position is $141,000-$185,000. Actual salaries may vary and fall outside of this range depending on factors such as a candidate’s qualifications, geographic location, skills, experience, and competencies. In addition, we are often open to a wide variety of profiles, and recognize that the person we hire may be less experienced (or more senior) than the job description as posted. Salary is one component of MariaDB’s total rewards package.  We provide a competitive benefits package. Additional benefits includes health insurance, life, and disability insurance, funds toward professional development resources, Flexible Paid Time Off (FPTO), paid holidays, 401(k), and parental leave, a massive degree of flexibility and freedom, just to name a few! Salaries for candidates outside the U.S. will vary based on local compensation structures. How to Apply If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site. At MariaDB, we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone. MariaDB does not sponsor work visas or relocation. MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

Location: Ukraine; Czech Republic; Latvia; Spain; Albania; Lithuania; Greece; Bosnia & Herzegovina; Croatia; Estonia; Serbia; Poland; Armenia; Portugal; Italy; Malta; Türkiye; Montenegro; Romania Workplace: Remote Location: Fully remote (EMEA timezone) Start date: ASAP Languages: Fluent English required Industry: Cloud Computing / AI / European Deep-Tech SaaS ABOUT THE ROLE Pragmatike is recruiting on behalf of a fast-scaling, well-funded distributed cloud infrastructure startup building next-generation AI-native cloud services. The company is redefining how compute is delivered by providing GPU-powered infrastructure for AI/ML workloads, secure storage, and high-speed data transfer through a decentralized architecture that significantly reduces environmental impact compared to traditional cloud providers. We are seeking a ML Ops Engineer with strong experience in production-grade model serving and infrastructure for AI systems. This is a highly technical, hands-on role focused on building scalable, reliable, and efficient ML inference platforms powering real-time AI applications. You will be responsible for designing and operating the core infrastructure that serves machine learning models at scale. You will work closely with infrastructure, platform, and applied AI teams to ensure high availability, low latency, and cost-efficient inference systems. Strong ownership, production mindset, and experience with distributed GPU systems are essential. YOUR RESPONSIBILITIES - Build and operate production-grade model serving infrastructure using frameworks such as vLLM, TGI, Triton, or equivalent - Design and implement robust deployment pipelines with blue/green and canary rollout strategies for ML models - Develop and maintain auto-scaling systems, multi-model serving architectures, and intelligent request routing layers - Optimize GPU utilization, memory efficiency, network throughput, and model artifact storage performance - Design observability systems for tracking inference latency, throughput, GPU usage, cost metrics, and system health - Manage model registries and CI/CD pipelines enabling automated and reproducible model deployments - Own the full lifecycle of ML systems from development through production, including operational support and on-call responsibilities - Define engineering best practices and contribute to platform scalability in a fast-moving startup environment REQUIRED QUALIFICATIONS - 4+ years of experience in ML Ops, Platform Engineering, SRE, or similar infrastructure roles focused on ML systems - Hands-on experience with model serving frameworks such as vLLM, TGI, Triton, or equivalent - Strong background in container orchestration and operating GPU-based workloads in production - Experience with MLOps tooling including model registries, experiment tracking, and automated deployment pipelines - Proficiency in Python and infrastructure-as-code tools (e.g., Terraform, Helm, or similar) - Strong understanding of distributed systems, performance tuning, and production reliability engineering - Ability to effectively use AI coding assistants to accelerate development and debugging workflows - Ownership mindset with the ability to operate independently in a remote-first environment PREFERRED QUALIFICATIONS - Experience with ML platforms such as Kubeflow, MLflow, or KubeAI - Knowledge of GPU scheduling, CUDA/ROCm optimization, or multi-tenant inference systems - Experience with cost optimization across different GPU types and inference workloads - Background in early-stage startups or greenfield infrastructure projects - Proven experience building production systems from scratch rather than maintaining legacy platforms WHY JOIN US - Take ownership of critical infrastructure powering a rapidly scaling AI-native cloud platform - Build foundational ML inference systems from the ground up in a high-growth, well-funded startup - Work at the intersection of distributed systems, GPU computing, and sustainable cloud architecture - Gain deep expertise in next-generation AI infrastructure and large-scale model serving systems - Influence core engineering decisions and define best practices that will scale with the company. Pragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely, and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration.

Location: Ukraine; Czech Republic; Bulgaria; Latvia; Spain; Hungary; Albania; Lithuania; Greece; Bosnia & Herzegovina; Croatia; Estonia; Serbia; Poland; Armenia; Portugal; Italy; Malta; Türkiye; Montenegro; Romania Workplace: Remote Location: Fully remote (EMEA timezone) Start date: ASAP Languages: Fluent English required Industry: Cloud Computing / AI / European Deep-Tech SaaS ABOUT THE ROLE Pragmatike is recruiting on behalf of a fast-scaling, well-funded distributed cloud infrastructure startup building next-generation AI-native cloud services. The company is redefining how compute is delivered by providing GPU-powered infrastructure for AI/ML workloads, secure storage, and high-speed data transfer through a decentralized architecture that significantly reduces environmental impact compared to traditional cloud providers. We are seeking a AI Infrastructure Engineer with strong experience in production-grade model serving and infrastructure for AI systems. This is a highly technical, hands-on role focused on building scalable, reliable, and efficient ML inference platforms powering real-time AI applications. You will be responsible for designing and operating the core infrastructure that serves machine learning models at scale. You will work closely with infrastructure, platform, and applied AI teams to ensure high availability, low latency, and cost-efficient inference systems. Strong ownership, production mindset, and experience with distributed GPU systems are essential. YOUR RESPONSIBILITIES - Build and operate production-grade model serving infrastructure using frameworks such as vLLM, TGI, Triton, or equivalent - Design and implement robust deployment pipelines with blue/green and canary rollout strategies for ML models - Develop and maintain auto-scaling systems, multi-model serving architectures, and intelligent request routing layers - Optimize GPU utilization, memory efficiency, network throughput, and model artifact storage performance - Design observability systems for tracking inference latency, throughput, GPU usage, cost metrics, and system health - Manage model registries and CI/CD pipelines enabling automated and reproducible model deployments - Own the full lifecycle of ML systems from development through production, including operational support and on-call responsibilities - Define engineering best practices and contribute to platform scalability in a fast-moving startup environment REQUIRED QUALIFICATIONS - 4+ years of experience in ML Ops, Platform Engineering, SRE, or similar infrastructure roles focused on ML systems - Hands-on experience with model serving frameworks such as vLLM, TGI, Triton, or equivalent - Strong background in container orchestration and operating GPU-based workloads in production - Experience with MLOps tooling including model registries, experiment tracking, and automated deployment pipelines - Proficiency in Python and infrastructure-as-code tools (e.g., Terraform, Helm, or similar) - Strong understanding of distributed systems, performance tuning, and production reliability engineering - Ability to effectively use AI coding assistants to accelerate development and debugging workflows - Ownership mindset with the ability to operate independently in a remote-first environment PREFERRED QUALIFICATIONS - Experience with ML platforms such as Kubeflow, MLflow, or KubeAI - Knowledge of GPU scheduling, CUDA/ROCm optimization, or multi-tenant inference systems - Experience with cost optimization across different GPU types and inference workloads - Background in early-stage startups or greenfield infrastructure projects - Proven experience building production systems from scratch rather than maintaining legacy platforms WHY JOIN US - Take ownership of critical infrastructure powering a rapidly scaling AI-native cloud platform - Build foundational ML inference systems from the ground up in a high-growth, well-funded startup - Work at the intersection of distributed systems, GPU computing, and sustainable cloud architecture - Gain deep expertise in next-generation AI infrastructure and large-scale model serving systems - Influence core engineering decisions and define best practices that will scale with the company. Pragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely, and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration.

Location: Ukraine; Czech Republic; Latvia; Spain; Albania; Lithuania; Greece; Bosnia & Herzegovina; Croatia; Estonia; Serbia; Poland; Armenia; Portugal; Italy; Malta; Türkiye; Montenegro; Romania Workplace: Remote Location: Fully remote (EMEA timezone) Start date: ASAP Languages: Fluent English required Industry: Cloud Computing / AI / European Deep-Tech SaaS ABOUT THE ROLE Pragmatike is recruiting on behalf of a fast-scaling, well-funded distributed cloud infrastructure startup building next-generation AI-native cloud services. The company is redefining how compute is delivered by providing GPU-powered infrastructure for AI/ML workloads, secure storage, and high-speed data transfer through a decentralized architecture that significantly reduces environmental impact compared to traditional cloud providers. We are seeking a ML Ops Engineer with strong experience in production-grade model serving and infrastructure for AI systems. This is a highly technical, hands-on role focused on building scalable, reliable, and efficient ML inference platforms powering real-time AI applications. You will be responsible for designing and operating the core infrastructure that serves machine learning models at scale. You will work closely with infrastructure, platform, and applied AI teams to ensure high availability, low latency, and cost-efficient inference systems. Strong ownership, production mindset, and experience with distributed GPU systems are essential. YOUR RESPONSIBILITIES - Build and operate production-grade model serving infrastructure using frameworks such as vLLM, TGI, Triton, or equivalent - Design and implement robust deployment pipelines with blue/green and canary rollout strategies for ML models - Develop and maintain auto-scaling systems, multi-model serving architectures, and intelligent request routing layers - Optimize GPU utilization, memory efficiency, network throughput, and model artifact storage performance - Design observability systems for tracking inference latency, throughput, GPU usage, cost metrics, and system health - Manage model registries and CI/CD pipelines enabling automated and reproducible model deployments - Own the full lifecycle of ML systems from development through production, including operational support and on-call responsibilities - Define engineering best practices and contribute to platform scalability in a fast-moving startup environment REQUIRED QUALIFICATIONS - 4+ years of experience in ML Ops, Platform Engineering, SRE, or similar infrastructure roles focused on ML systems - Hands-on experience with model serving frameworks such as vLLM, TGI, Triton, or equivalent - Strong background in container orchestration and operating GPU-based workloads in production - Experience with MLOps tooling including model registries, experiment tracking, and automated deployment pipelines - Proficiency in Python and infrastructure-as-code tools (e.g., Terraform, Helm, or similar) - Strong understanding of distributed systems, performance tuning, and production reliability engineering - Ability to effectively use AI coding assistants to accelerate development and debugging workflows - Ownership mindset with the ability to operate independently in a remote-first environment PREFERRED QUALIFICATIONS - Experience with ML platforms such as Kubeflow, MLflow, or KubeAI - Knowledge of GPU scheduling, CUDA/ROCm optimization, or multi-tenant inference systems - Experience with cost optimization across different GPU types and inference workloads - Background in early-stage startups or greenfield infrastructure projects - Proven experience building production systems from scratch rather than maintaining legacy platforms WHY JOIN US - Take ownership of critical infrastructure powering a rapidly scaling AI-native cloud platform - Build foundational ML inference systems from the ground up in a high-growth, well-funded startup - Work at the intersection of distributed systems, GPU computing, and sustainable cloud architecture - Gain deep expertise in next-generation AI infrastructure and large-scale model serving systems - Influence core engineering decisions and define best practices that will scale with the company. Pragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely, and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration.