D

DevSecOps Engineer

At DBeaver, our team has a shared vision to integrate data into the routines and decision-making process of every individual. With a dedicated community of over 10 million active users worldwide who constantly inspire us, our open-source a…

DBeaver На сервисе с: 24.10.26 09:07

Зарплата не указанаСербияВенгрияBelgradeГибрид

At DBeaver, our team has a shared vision to integrate data into the routines and decision-making process of every individual. With a dedicated community of over 10 million active users worldwide who constantly inspire us, our open-source approach fuels innovation within. 

We are looking for a DevSecOps Engineer to join our development team and help keep our infrastructure and products secure, focusing on cloud infrastructure, CI/CD security, and vulnerability management. You'll also help our engineering teams build secure products and have real influence over how we approach security.

Location: This role can be based in our hybrid offices in Belgrade, Serbia, or Budapest, Hungary; or remotely in Europe.

What You’ll Do:

  • Design, implement, and maintain secure cloud and on-premise infrastructure.
  • Integrate security controls into CI/CD pipelines and development workflows.
  • Automate security checks, compliance validation, and vulnerability management processes.
  • Secure containerized environments and Kubernetes clusters.
  • Implement and maintain secrets management, identity, and access control solutions.
  • Monitor infrastructure and applications for security threats and vulnerabilities.
  • Collaborate closely with developers, QA engineers, and platform teams to promote DevSecOps best practices.
  • Participate in security reviews, architecture discussions, and threat modeling activities.
  • Contribute to security standards, policies, and technical documentation.

What You Bring: 

  • 5+ years in DevOps, DevSecOps, or infrastructure engineering, with recent focus on security.
  • Hands-on cloud security experience, preferably with AWS environments. 
  • Experience working with pen testers or running security assessments, and following findings through to fixes.
  • Experience implementing vulnerability scanning, CVE triage, dependency management, and container security controls.
  • Understanding of application and infrastructure security principles.
  • Knowledge of networking fundamentals, IAM, secrets management, and secure authentication mechanisms.
  • Hands-on experience with Docker and Kubernetes in production.
  • Experience with infrastructure as code, such as Terraform, and CI/CD platforms such as Jenkins or similar. 
  • Knowledge of English (B2 level).

Bonus Skills:

  • Knowledge of security frameworks and standards such as ISO 27001 or NIST.
  • Experience creating security practices for AI use, not just using AI tools.
  • Experience with SIEM, monitoring, and observability platforms.
  • Security certifications such as AWS Security Specialty, CKS, CISSP, CCSP, or similar.
  • Experience contributing to open-source projects.
  • Understanding of database security concepts and data protection practices.

We Use the Following Tools: 

  • AWS
  • Kubernetes
  • Docker
  • Terraform 
  • GitHub
  • Prometheus
  • Grafana
  • ELK Stack

About DBeaver:

DBeaver Corporation provides a full-featured data solution that easily adapts to users' needs, from open-source tools to all-in-one enterprise software. Our mission is to make it possible for all kinds of people and organizations to leverage all kinds of data.  

We are committed to creating a diverse and inclusive workplace where everyone feels welcomed and valued. If you are looking for an opportunity to join a collaborative and supportive team, we invite you to apply today.

Похожие вакансии DevOps

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G

Migration Engineer - GitLab Dedicated

gitlabНа сервисе с: 19.10.26 20:45↑ Вакансия с автоподнятием
Зарплата не указанаСША

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.

The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.

*Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.

An overview of this role

As a Migration Engineer for GitLab Dedicated, you'll partner with customers to plan and deliver migrations from self-managed GitLab to GitLab Dedicated. You'll use GitLab Geo to replicate customer data and move customers onto fully managed, isolated GitLab environments with minimal disruption. You'll balance hands-on technical delivery with clear communication and project ownership, translating each customer's goals, timelines, and constraints into a practical plan and guiding them through cutover and validation.

You'll use infrastructure as code and configuration as code practices, Kubernetes, cloud platforms, and network design to work within existing GitLab Dedicated environments. You'll also improve the tooling, scripts, and runbooks that make migrations repeatable and reduce manual work, while sharing insights from customer engagements with GitLab's Product and Engineering teams.

  • Lead migrations from self-managed GitLab to GitLab Dedicated using GitLab Geo to replicate customer data
  • Design migration runbooks and automation for repeatable cutovers, and validate target environments built with Terraform, Ansible, and Kubernetes

What you’ll do

  • Deliver customer migrations from initial assessment through planning, replication, cutover, and post-migration validation.
  • Use GitLab Geo to replicate customer data, debug synchronization issues, identify root causes, and keep migrations on track.
  • Design customer network connectivity within GitLab Dedicated constraints, including virtual private clouds, private connectivity, Domain Name System configuration, and firewall rules.
  • Apply infrastructure as code and configuration as code practices to interact with and validate existing GitLab Dedicated environments.
  • Advise customers on migration sequencing, cutover windows, integration requirements, risks, and clear next steps.
  • Improve migration tooling, scripts, and runbooks to make delivery more reliable, repeatable, and efficient.
  • Partner with Professional Services, Environment Automation, Product, and Engineering to resolve blockers, share field feedback, and keep delivery consistent.
  • Manage multiple customer engagements while balancing customer outcomes, delivery priorities, and share technical knowledge with other engineers.

What you’ll bring

  • Experience delivering customer-facing migration, installation, training, or technical advisory engagements.
  • Experience using, deploying, or configuring GitLab, with a solid understanding of Git and source control workflows.
  • Experience with infrastructure as code or configuration as code tools such as Terraform, Ansible, Packer, Puppet, or Chef.
  • Hands-on experience running Kubernetes workloads in production, including deployments, rollouts, and debugging crash loops, failed health checks, and scheduling issues.
  • Experience with a major cloud provider such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure, along with working knowledge of network design and connectivity.
  • Ability to read, understand, and modify infrastructure tooling, with familiarity in languages such as Go, Python, or Ruby.
  • Ability to independently lead multiple customer projects, communicate clearly in written and spoken English, and build agreement in a remote, largely asynchronous environment.
  • PubSec/Federal experience a plus.
  • A solution-oriented approach, effective cross-functional collaboration, and a commitment to GitLab's values. Experience with GitLab Geo and replication is helpful, but deep expertise can be developed in the role.

About the team

Migration Engineers are part of GitLab's Dedicated Infrastructure organization. We work with Sales, Professional Services, Environment Automation, Product, and Engineering to coordinate delivery, resolve customer needs, and share field feedback that improves GitLab features and delivery practices. We work remotely and largely asynchronously across regions and time zones, with a focus on reliable delivery and long-term customer success.



The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.

United States Salary Range
$126,400—$213,600 USD

How GitLab Supports Full-Time Employees

Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.

Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.  

Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us.

GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.

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selectel

Системный инженер в частное облако

selectelНа сервисе с: 06.10.26 08:44↑ Вакансия с автоподнятием
Зарплата не указанаРоссияСанкт-Петербург

Мы в поисках системного инженера в команду поддержки частных облаков.

Частное облако Selectel - программный продукт, который позволяет клиенту создавать виртуальные машины и другие сервисы (диски, виртуальные сети, балансировщики) для своей IT-инфраструктуры. С точки зрения архитектуры это множество микросервисов и API на базе опенсорс продукта OpenStack, Ceph.

Команда частных облаков занимается интеграцией облака Selectel в инфраструктуру заказчика. Мы строим полностью изолированное облако от серверного оборудования до верхнеуровневых сервисов на базе собственных разработок Selectel.

Вас ждут задачи по обеспечению стабильной работы частного облака, созданию новой инфраструктуры и сервисов в контуре клиента, а также интеграции облака в контуре клиента с его системами мониторинга, логирования, SIEM и т.д.

Основные задачи
  • Подготовить инфраструктуру для заказчика на базе облака Selectel
  • Интегрировать облако Selectel в инфраструктуру заказчика
  • Интегрировать фичи заказчика в частное облако
  • Планировать и проводить работы по обслуживанию и изменениям инфраструктуры
  • Использовать инструменты Puppet, ArgoCD, Helm для написания инфраструктурного кода и управления облаком
  • Диагностировать, локализовать и решать проблемы, возникающие в ходе эксплуатации инфраструктуры, связанные как с программной, так и аппаратной частью
  • Автоматизировать работу
  • Взаимодействовать с продуктовыми командами по реализации продуктов компании в инфраструктуре заказчика

Мы ожидаем
  • Опыт работы с Openstack, с системами виртуализации на базе libvirt/QEMU/KVM
  • Глубокое понимание и длительный опыт работы с Linux, IaC
  • Опыт работы с железной инфраструктурой (30+ серверов)
  • Опыт работы с Docker
  • Опыт работы с мониторингом на базе Grafana/Prometheus
  • Хорошее понимание принципов работы сетей (L2/L3, маршрутизации/ коммутации)
  • Опыт дебага проблем с софтом и железом
  • Опыт написания прикладных скриптов

Будет плюсом
  • Большое желание разобраться в деталях работы облачной инфраструктуры от железа до приложений включительно
  • Опыт работы с Ceph
  • Опыт работы с K8S
  • Есть навык работы с Graylog, ELK, Opensearch
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N

Senior/Tech Lead Backend Engineer (Managed Kubernetes)

nebiusНа сервисе с: 06.10.26 00:28↑ Вакансия с автоподнятием
Зарплата не указанаВеликобританияГерманияНидерландыAmsterdam

About Nebius:

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

Nebius Managed Kubernetes (mk8s) mission is to grow the Nebius cloud platform by providing a Kubernetes-native way to run AI systems with high efficiency and low operational overhead. With a single click, it provides a Kubernetes cluster on top of Nebius services for compute (VMs) and networking. In 2026, the service is scaling 10× and is expected to manage customer workloads across tens of thousands of GPU servers in more than 10 data centers.

You will lead the mk8s Core team, one of three mk8s teams. The Core team owns the API, the core of the service control plane, cluster autoscaling, platform integrations, and running k8s add-ons.

At Nebius, team leads are hands-on. We expect you to be a senior or staff engineer now (or earlier in your career). You will start as an individual contributor to gain context, then take on managerial responsibilities.

In this position, you will be responsible to:

  • Lead by example. Set the quality bar by spending a significant portion of your time on IC work: writing and reviewing code, leading projects, and participating in on-call rotation, incident mitigation, and post-incident analysis.
  • Manage 4–8 mid-to-senior engineers. Provide context, coach, and give regular feedback.
  • Maintain the technical vision for your area of responsibility.
  • Collaborate with the Product Manager and Service Owner to shape product vision and plans.

Examples of outcomes you could drive as a Team Lead

  • Optimize the service control plane to create and manage 20K GPU nodes in a single Kubernetes cluster, enabling a major contract for the company.
  • Integrate cluster autoscaling approaches (e.g., Karpenter) to improve resource utilization and support seamless auto-upgrades.
  • Provide a Kubernetes-native way to use local disks to reduce disk I/O bottlenecks for AI training and inference, improving efficiency.
  • Deliver managed Layer 7 load balancers to reduce operational overhead for customers.

What you will bring to the table:

  • 8+ years of professional software engineering or management experience
  • Excellent knowledge of Golang, or you are ready to quickly switch to this programming language
  • Expertise with
    • Multi-month technical projects
    • Tech leading engineers
    • Owning multi-month technical projects.

It would be an added bonus if you had:

  • Experience with Team management, Kubernetes administration, Developing Kubernetes controller.

Benefits & Perks:

  • Competitive compensation
  • Career growth and learning opportunities
  • Flexibility and ownership
  • Collaborative and innovative culture
  • Opportunity to work on impactful AI projects
  • International environment and talented teams

What's it like to work at Nebius:

Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI 

Equal Opportunity Statement:

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. 

If you need accommodations during the application process, please let us know.

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