kubernetes engineer

Crox

<div><h4 class="jobSectionHeader">DevOps Engineer (m/w/d) &ndash; 100% Remote | Deutschland</h4>
F&uuml;r ein modernes Cloud- und Infrastrukturunternehmen suchen wir einen DevOps Engineer (m/w/d), der Lust hat, hochverf&uuml;gbare Cloud-Plattformen zu entwickeln und zu betreiben.
Du arbeitest mit einem kleinen, erfahrenen Team an modernen Kubernetes-Umgebungen und gestaltest die technische Infrastruktur aktiv mit.<h5 class="jobSectionHeader">
Deine Aufgaben</h5><ul><li>
Aufbau, Betrieb und Optimierung von Kubernetes-Clustern</li><li>
Automatisierung und Weiterentwicklung der Infrastruktur</li><li>
Sicherstellung von Performance, Skalierbarkeit und Verf&uuml;gbarkeit</li><li>
Zusammenarbeit mit Entwicklung, DevOps und QA</li><li>
Mitgestaltung moderner Cloud-L&ouml;sungen und neuer Technologien</li></ul><h5 class="jobSectionHeader">
Das bringst du mit</h5><ul><li>
Mindestens 2&ndash;3 Jahre Berufserfahrung</li><li>
Sehr gute Kenntnisse in Kubernetes</li><li>
Flie&szlig;ende Deutschkenntnisse (C2)</li><li>
Erfahrung mit Linux (idealerweise Ubuntu)</li><li>
Kenntnisse in Docker sowie Cloud-Infrastrukturen</li></ul>
Idealerweise hast du au&szlig;erdem Erfahrung mit:<ul><li>
Ansible</li><li>
GitLab oder GitHub</li><li>
Prometheus</li><li>
Grafana</li><li>
Loki</li><li>
Talos</li><li>
Cilium</li><li>
Ceph</li></ul><h5 class="jobSectionHeader">
Das erwartet dich</h5><ul><li>
100 % Remote innerhalb Deutschlands</li><li>
Flexible Arbeitszeiten (32&ndash;40 Stunden/Woche)</li><li>
Jahresgehalt zwischen 55.000 &euro; und 75.000 &euro;</li><li>
30 Urlaubstage</li><li>
Budget f&uuml;r Weiterbildungen</li><li>
JobRad oder Jobticket</li><li>
Internetkostenzuschuss</li><li>
Kinderbetreuungszuschuss</li><li>
️ MacBook oder Hardware deiner Wahl</li><li>
Betriebliche Altersvorsorge</li><li>
Kleines, motiviertes Team mit kurzen Entscheidungswegen</li><li>
Moderne Technologien wie Kubernetes, Docker, Go und Cloud-native Tools</li></ul><h5 class="jobSectionHeader">
Warum diese Position?</h5>
Du arbeitest in einem vollst&auml;ndig remote organisierten Unternehmen mit klaren Prozessen, viel Eigenverantwortung und einem hohen technischen Anspruch. Statt Startup-Chaos erwarten dich moderne Technologien, flexible Arbeitsbedingungen und die M&ouml;glichkeit, deine Ideen aktiv einzubringen.
Interesse geweckt?
Dann freuen wir uns auf deine Bewerbung mit Lebenslauf. Wir melden uns zeitnah bei dir.</div>

DevOps Engineer (m/w/d) – 100% Remote | Deutschland

Schäfer Shop Group GmbH & Co. KG

<div>#einfach.erstklassig.arbeiten

Willkommen bei Sch&auml;fer Shop, wo wir seit 1975 Arbeitsumfelder gestalten, die dich inspirieren. Als f&uuml;hrender Anbieter von B&uuml;ro- und Betriebsausstattungen in Europa sind unsere 1.000 Teammitglieder stolz auf unsere Mission:
Wir schaffen positive Arbeitsumfelder, die unsere Kunden erfolgreicher machen.
Bei Sch&auml;fer Shop sind wir eine Gemeinschaft von Machern und Vision&auml;ren. Unsere Kultur ist gepr&auml;gt von Zusammenarbeit, Innovation und Exzellenz. Wir suchen st&auml;ndig nach talentierten Menschen, die unsere Leidenschaft teilen und unsere Mission vorantreiben.
Komm zu uns und hilf uns, die Zukunft der Arbeitswelt zu gestalten und werde Teil unserer Mission, dich erfolgreicher zu machen.
Ab sofort suchen wir einen (Senior) DevOps Engineer (m/w/d) f&uuml;r unser Remote Team:
Was Du f&uuml;r uns tun kannst:
<ul><li>Unsere Internal Developer Platform auf Hetzner (k3s) betreiben</li><li>
Infrastruktur verwalten mit OpenTofu, Ansible und GitOps (Argo CD)</li><li>
GitLab CI Pipelines optimieren und Automatisierungen ganzheitlich konzipieren</li><li>
Incidents debuggen, ganzheitlich angehen und langfristig l&ouml;sen (incident.io)</li><li>
Verschiedene Data Stores mit Kubernetes Operators betreiben</li><li>
Gegebenenfalls kleine Automatisierungen in Python schreiben</li></ul>
Was Du mitbringst:
<ul><li>Praktische Erfahrung im Betrieb von self-hosted Kubernetes-Clustern</li><li>
Ein Herz f&uuml;r Software Developers, mit denen wir eng zusammenarbeiten</li><li>
Gewohnter Umgang mit Infrastructure as Code und GitOp -basierten Automatisierungen</li><li>
Verst&auml;ndnis von verteilten Softwaresystemen und typischen Fehlermodi
 
</li><li>Tech-Stack: 
Kubernetes (k3s), GitOps, OpenTofu, Ansible, Linux, Argo CD, MySQL/XtraDB, Kafka, Redis, Cloudflare, Prometheus, Grafana, OpenTelemetry, nginx, GitLab CI, Keycloak, incident.io</li></ul>
Was wir Dir bieten:
<ul><li>Die M&ouml;glichkeit zur v&ouml;llig flexiblen und eigenverantwortlichen Remote-Arbeit</li><li>
Ausgewogene Arbeitszeiten f&uuml;r eine gesunde Work-Life-Balance</li>
CYOD: Choose Your Own Device<li> Microsoft, Apple &amp; Linux</li><li>
Unterst&uuml;tzung f&uuml;r die Einrichtung eines effizienten Homeoffice-Arbeitsplatzes</li><li>
Eine mehrw&ouml;chige Einarbeitungsphase, um optimal in die Aufgaben einzusteigen</li><li>
Individuelle Schulungen und Weiterbildungsm&ouml;glichkeiten (intern &amp; extern)</li><li>
Eine offene Kommunikationskultur und die M&ouml;glichkeit, Ideen einzubringen</li><li>
Eine 39-Stunden-Woche und 30 Urlaubstage pro Jahr</li><li>
Regelm&auml;&szlig;ige Teamevents, um den Teamgeist zu f&ouml;rdern</li><li>
Betriebliche Altersvorsorge f&uuml;r eine sichere Zukunft</li><li>
Job Bike, attraktive Mitarbeiterrabatte, Urban Sports Mitgliedschaft uvm.</li></ul></div>

(Senior) DevOps Engineer (m/w/d)

Certinia

<div>
 
 Platform Engineer, Veda AI
 
 
 
 
 Location: UK, Spain, Remote OK
 
 
 
 
 About Certinia
 
 
 
 Certinia delivers a Services-as-a-Business platform that powers and connects all aspects of services operations, from services estimation and delivery to customer success management and financial planning and accounting. The company&rsquo;s Professional Services Automation (PSA), Customer Success (CS), and Financial Management (FM) solutions&mdash;delivered on Salesforce&rsquo;s leading cloud platform&mdash;provide the ability to run a connected services business, deliver with intelligence, and achieve business agility. Headquartered in Austin, Texas with presence around the world, Certinia is backed by Haveli Investments, TA Associates, General Atlantic and Salesforce Ventures. For more information, visit www.certinia.com.
 
 
 
 THE ROLE
 
 
 
 As a Platform Engineer you will work in Certinia's Platform Engineering team, building and operating the platform on which Certinia's AI agents and services run. The platform is Kubernetes on AWS with a service mesh for zero-trust networking, and provides the runtime, identity, AI-gateway, cost-governance and audit layers that let AI workloads operate safely against customer Salesforce data.
 
 
 You will work across the stack, from the Helm charts and Terraform that provision infrastructure, to the services that make up the platform's authentication and gateway layers, to the CI/CD pipelines and tooling that application teams rely on. Application teams are your primary users; you will help them ship features safely and efficiently.
 
 
 You will deliver small to medium platform changes with general direction from more senior colleagues. You will work alongside peers of different competencies, contribute to reviews and retros, and share on-call responsibility for the platform.
 
 
 
 What You Will Do In This Role
 
 
 
 <ul>
 <li>
 Contribute to the complete development cycle of platform changes: Helm charts, infrastructure-as-code, services, CI/CD jobs and supporting tooling.
 </li>
 <li>
 Add functionality to the platform through new code, configuration and infrastructure, or by changing what already exists.
 </li>
 <li>
 Write and maintain automated tests. Perform manual verification of changes in lower environments.
 </li>
 <li>
 Identify bugs and fix them. Address feedback from code reviews.
 </li>
 <li>
 Monitor platform components and participate in incident response and disaster-recovery exercises with support from senior colleagues.
 </li>
 <li>
 Demonstrate completed work to the team and the wider product group.
 </li>
 <li>
 Keep up with changes to the team's tech stack and to tools and techniques used by the team.
 
 
 </li>
 </ul>
 
 What You Need To Be Successful In This Role
 
 
 
 <ul>
 <li>
 A development background in a meaningful programming language, we write Go, but are happy with experience in Java, Scala, Rust, Kotlin, C# or another systems-or-services language.
 </li>
 <li>
 Working knowledge of Kubernetes, deploying and debugging workloads, reading manifests, understanding services, ingress and basic RBAC.
 </li>
 <li>
 Working knowledge of a major public cloud, AWS preferred, but solid experience in GCP or Azure is fine.
 </li>
 <li>
 Experience with infrastructure-as-code, Terraform preferred, but any mainstream IaC tool is acceptable.
 </li>
 <li>
 Comfort on the command line and a solid grasp of Linux fundamentals.
 </li>
 <li>
 Networking fundamentals: TCP/HTTP, DNS, TLS.
 </li>
 <li>
 Git proficiency and experience with code review.
 </li>
 <li>
 Familiarity with CI/CD pipelines, Jenkins, GitHub Actions, GitLab CI or similar.
 </li>
 <li>
 A clear bias for automation and for fixing the cause rather than the symptom.
 
 
 </li>
 </ul>
 
 What Else Would Be Great
 
 
 
 <ul>
 <li>
 Hands-on experience with EKS or another managed Kubernetes service.
 </li>
 <li>
 Exposure to a service mesh (Istio, Linkerd).
 </li>
 <li>
 Experience with Helm.
 </li>
 <li>
 Familiarity with the Atlassian suite (Bitbucket, Jira, Confluence).
 </li>
 <li>
 Foundational cloud or Kubernetes certification (AWS Cloud Practitioner, KCNA, CKAD), passed or in progress.
 </li>
 <li>
 Any prior experience working in a team that owned a developer platform, shared infrastructure or developer tooling.
 
 
 </li>
 </ul>
 We are committed to equality of opportunity for all; applications from individuals are encouraged regardless of age, disability, gender, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.
</div>

Platform Engineer-UK

Sprint and Partners

<div>
 
 
 SRE - Data Platform Engineer - Kubernetes - top 0,5% biggest data set globally
 
 
 
 
 Amsterdam
 
 (Hybrid) - Visa sponsorship and relocation included
 
 
 
 
 
 Building the backbone of data &amp; AI at scale. This is not a &ldquo;keep the lights on&rdquo; role.
 
 
 
 
 
 If you are interested in:
 
 <ul>
 <li>
 Working on systems where failure is not an option
 </li>
 <li>
 A team that values engineering quality over shortcuts
 </li>
 <li>
 Real ownership &mdash; you build it, you run it, you improve it
 </li>
 <li>
 Growth paths in deep technical expertise or leadership
 </li>
 <li>
 A setup where your work has visible, measurable impact
 </li>
 </ul>
 
 
 
 
 Check this out:
 
 
 
 
 
 You&rsquo;ll be building and evolving the core platform that everything depends on&mdash;from data pipelines to machine learning and real-time AI services. Think high-scale Kubernetes, complex distributed systems, and real reliability challenges where your decisions actually matter.
 
 
 
 
 
 If you care about uptime, performance, and engineering systems that don&rsquo;t break under pressure, this is your kind of environment.
 
 
 
 
 
 Why this role stands out for SREs / Platform Engineers
 
 <ul>
 <li>
 Reliability is the product &mdash; not an afterthought
 </li>
 <li>
 Work on real-world scale problems (not toy infra)
 </li>
 <li>
 Balance batch, streaming, and real-time workloads in one platform
 </li>
 <li>
 Tackle non-trivial Kubernetes challenges (scheduling, multi-tenancy, resource isolation)
 </li>
 <li>
 Own systems that directly impact data, ML, and AI products
 </li>
 <li>
 High autonomy, high responsibility, low bureaucracy
 </li>
 </ul>
 
 
 
 
 You&rsquo;re not just supporting engineers &mdash; you&rsquo;re enabling an entire ecosystem.
 
 
 
 
 
 What you&rsquo;ll actually do
 
 <ul>
 <li>
 Build and scale Kubernetes-based platform infrastructure, keeping systems highly available under unpredictable load
 </li>
 <li>
 Drive system reliability, availability, and performance. Preventing resource contention between critical and heavy workloads
 </li>
 <li>
 Building secure, multi-tenant platforms without performance trade-offs
 </li>
 <li>
 Automate everything that shouldn&rsquo;t require human intervention
 </li>
 <li>
 Design solutions for high-throughput, data-heavy workloads. Running GPU-powered and compute-intensive workloads efficiently.
 </li>
 <li>
 Optimize scalability. Scaling storage and networking for massive data volumes. Designing smart autoscaling and cost-efficient infrastructure.
 </li>
 <li>
 Support and unblock internal teams using the platform
 </li>
 <li>
 Continuously improve observability, alerting, and incident response
 </li>
 <li>
 Be part of an on-call rotation where reliability truly matters
 </li>
 </ul>
 
 
 
 
 You:
 
 <ul>
 <li>
 Have solid experience in SRE, Platform, or Infrastructure Engineering for data platforms or big data tooling.
 </li>
 <li>
 Are comfortable with Kubernetes in production environments
 </li>
 <li>
 Understand distributed systems and failure modes
 </li>
 <li>
 Care deeply about reliability, observability, and automation
 </li>
 <li>
 Enjoy solving complex problems rather than following playbooks
 </li>
 <li>
 Exposure to high-performance workloads or GPU environments
 </li>
 </ul>
 
 
 
 
 
 Salary and benefits
 
 
 
 The base salary is between 90K and 150K euro, depending on what you bring to the table in terms of skills, personality and experience.
 
 
 Some of the secondary benefits: a permanent contract, 20% guaranteed bonus in stock, 10K+ personal allowance (can be used as extra salary), healthcare allowance (~2K a year), holiday allowance (8%), holidays, laptop, travel allowance, relocation package for Internationals, training &amp; conferences, 30% ruling, VISA sponsorship, luxury lunch, snacks/drinks, work from home setup, etc.
 
 
 
</div>

SRE - Data Platform Engineer - Kubernetes - top 0,5% biggest data set globally

Stemmons Business Services

<div><div><div>Closing on: Dec 31, 2026</div></div><div><div><div><div>
Job Category: IT development
</div><div>Department: IT development
</div><div>Job Location: Vadodara | India
</div><div>No of openings: 1
</div></div></div></div><div>Job Overview 
The Senior DevOps Engineer is responsible for designing, implementing, automating, and supporting cloud infrastructure, application environments, and DevOps platforms with a primary focus on Microsoft Azure. This role works closely with development teams,architects, and business stakeholders to deliver secure, scalable, and highly available solutions while driving automation, containerization, AI platform operations, and continuous improvement initiatives.

Roles and Responsibilities 
Cloud Infrastructure &amp; Platform Management
<ul><li>Design, deploy, and manage Azure-based infrastructure and services.</li><li>Configure and maintain networking, virtual machines, storage, security, and identity services.</li><li>Implement Infrastructure as Code (IaC) and cloud governance best practices. Server &amp; Application Management</li><li>Install, configure, and maintain Windows Server environments, Active Directory, and DNS.</li><li>Deploy, configure, administer, and troubleshoot Microsoft Internet Information Services (IIS) hosted web applications.</li><li>Manage IIS websites, application pools, SSL certificates, URL rewrites, authentication, and application deployments.</li><li>Deploy, manage, and troubleshoot web servers, application servers, and supporting services.</li><li>Perform performance tuning, patching, upgrades, and maintenance of application hosting environments. AKS &amp; Container Platform Management</li><li>Design, deploy, and maintain Azure Kubernetes Service (AKS) clusters.</li><li>Create, manage, secure, and optimize container images and Azure Container Registry (ACR) repositories.</li><li>Manage image versioning, patching, vulnerability remediation, and deployment processes.</li><li>Configure Kubernetes networking, scaling, monitoring, upgrades, and disaster recovery.</li><li>Support containerized application deployments through automated CI/CD pipelines. Azure AI Foundry Administration</li><li>Create, configure, and manage Azure AI Foundry environments and services.</li><li>Deploy and manage AI models, agents, prompt flows, endpoints, and related AI resources.</li><li>Perform model evaluation, monitoring, optimization, governance, and lifecycle management.</li><li>Collaborate with development teams to operationalize AI solutions in enterprise environments. DevOps &amp; Automation</li><li>Design and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools.</li><li>Automate infrastructure provisioning, application deployment, and operational processes.</li><li>Implement DevSecOps practices, security scanning, and compliance controls. Monitoring &amp; Support</li><li>Monitor infrastructure, applications, AKS clusters, and AI services.</li><li>Troubleshoot and resolve cloud, application, database, networking, and performance issues.</li><li>Conduct root cause analysis and implement continuous improvement activities. Documentation &amp; Collaboration</li><li>Maintain architecture diagrams, deployment standards, operational runbooks, and technical documentation.</li><li>Collaborate with development, security, architecture, and business teams to deliver reliable solutions.</li></ul>

Knowledge and Skills Required
<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or related field, or equivalent experience.</li><li>5+ years of experience in cloud infrastructure, DevOps, or platform engineering.</li><li>Strong expertise in Microsoft Azure services and cloud architecture.</li><li>Hands-on experience with AKS, Kubernetes, Docker, Azure Container Registry (ACR), and container lifecycle management.</li><li>Experience administering and troubleshooting IIS-hosted web applications, including website configuration, application pools, SSL certificates, and deployment processes.</li><li>Experience with Azure AI Foundry, including model deployment, agent management, evaluation, and governance.</li><li>Proficiency with Azure DevOps, GitHub Actions, CI/CD pipelines, and Infrastructure as Code (Terraform, Bicep, or ARM).</li><li>Experience with Windows Server, Active Directory, DNS, networking, and security best practices.</li><li>Familiarity with databases, monitoring tools, and cloud-native architectures.</li><li>Strong troubleshooting, communication, documentation, and stakeholder management skills.</li><li>Azure, Kubernetes, DevOps, or AI-related certifications are preferred.</li></ul></div></div>

Senior DevOps Engineer

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DevOps Engineer (m/w/d) – 100% Remote | Deutschland

DevOps Engineer (m/w/d) – 100% Remote | Deutschland

DevOps Engineer (m/w/d) – 100% Remote | Deutschland

(Senior) DevOps Engineer (m/w/d)

Platform Engineer-UK

SRE - Data Platform Engineer - Kubernetes - top 0,5% biggest data set globally

Senior DevOps Engineer