site reliability engineer

NVIDIA

<div>Site Reliability Operations (SRO) is NVIDIA IT's global enterprise support organization, serving as the first point of contact for enterprise IT services while engineering streamlined, scalable solutions that improve the employee experience. Rather than simply resolving tickets, SRO drives operational excellence by consolidating support functions, automating repetitive work, and returning engineering capacity while improving operational reliability across our global 24x5 support model spanning the Americas, EMEA, APAC, India, and Israel. This role uniquely combines enterprise site support with ownership of video conferencing and collaboration technologies, requiring expertise across both disciplines to deliver a seamless workplace technology experience. Working closely with Site Reliability Engineering (SRE), Unified Communications Engineering (UCE), Facilities, and other global IT teams, you'll help ensure NVIDIA employees and executives have reliable technology and exceptional collaboration experiences every day.
What You'll Be Doing
This role is responsible for delivering both enterprise site support and video conferencing operations. The work spans hands-on technical support, collaboration technology ownership, and continuous operational improvement, partnering with global engineering teams to enhance service reliability, automate repetitive work, and deliver an exceptional employee experience.<ul><li>
Serve as the primary on-site IT point of contact for Site Reliability Operations (SRO), providing break/fix support, new hire onboarding, hardware provisioning, and desk-side support.</li><li>
Resolve hardware, software, access, and peripheral incidents and service requests while meeting established service level objectives and operational response targets.</li><li>
Triage, investigate, and resolve complex technical issues, partnering with Site Reliability Engineering (SRE) teams to perform root cause analysis and address operational challenges impacting service efficiency.</li><li>
Identify recurring incident trends and implement automation, self-service capabilities, and process improvements that reduce support volume and improve the employee experience.</li><li>
Maintain operational readiness of local IT infrastructure, including network equipment rooms (NER/IDF), IT vending machines (ITVM), local lab environments, and other site technology assets.</li><li>
Support office build-outs, site expansions, lifecycle management (LCM) initiatives, and participate in after-hours and weekend support for critical incidents as required.</li><li>
Lead the operational health of enterprise video conferencing and audiovisual (AV) systems across assigned sites, including Cisco and Poly collaboration endpoints.</li><li>
Install, configure, maintain, and troubleshoot collaboration hardware including codecs, touch panels, cameras, microphones, speakers, amplifiers, digital signal processors (DSPs), displays, and AV control processors.</li><li>
Ensure conference rooms meet NVIDIA collaboration standards by validating audio and video quality, verifying cabling and signal integrity, and proactively maintaining room readiness.</li><li>
Provide real-time AV and video conferencing support for executive meetings, live events, all-hands meetings, and other high-visibility presentations.</li><li>
Partner with Unified Communications Engineering (UCE) on firmware upgrades, platform migrations, and new room deployments.</li><li>
Maintain accurate collaboration asset inventory and lifecycle information in Nautobot, including device status, serial numbers, firmware versions, and lifecycle data.</li><li>
Troubleshoot interoperability across Microsoft Teams, Zoom, Webex, Pexip CVI, SIP, and H.323 platforms to deliver seamless cross-platform meeting experiences.</li></ul>
What We Need to See
We're looking for a customer-focused IT professional with experience across enterprise endpoint support and collaboration technologies. The ideal candidate is comfortable working independently at a site while partnering with globally distributed engineering teams to solve complex technical challenges and continuously improve operational excellence.<ul><li>
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent experience.</li><li>
3&ndash;5 years of experience in IT operations, site support, enterprise endpoint support, audiovisual technologies, or a related technical support role.</li><li>
Hands-on experience supporting enterprise video conferencing platforms, including Microsoft Teams Rooms, Zoom Rooms, and/or Cisco Webex Room systems.</li><li>
Familiarity with AV signal flow, including HDMI, USB, network-based audio/video, DSP configuration, and display technologies.</li><li>
Strong troubleshooting and engineering skills across Windows, macOS, and Linux environments.</li><li>
Experience working with enterprise IT service management (ITSM) platforms, preferably ServiceNow.</li><li>
Ability to work independently while collaborating effectively with globally distributed teams.</li><li>
Excellent communication and interpersonal skills, including experience supporting executives, managing vendor relationships, and documenting technical procedures.</li></ul>
Ways to Stand Out from the Crowd<ul><li>
Experience with enterprise AV monitoring and management platforms such as Vyopta, Crestron XiO Cloud, or Q-SYS.</li><li>
Understanding of networking fundamentals, including VLANs, Power over Ethernet (PoE), and Quality of Service (QoS) for real-time media.</li><li>
CTS (Certified Technology Specialist) or other relevant AV or collaboration certifications.</li><li>
Experience using Python, PowerShell, or Bash to automate operational workflows and improve operational efficiency.</li><li>
Experience supporting large-scale live events or broadcast-quality AV environments.</li><li>
Experience working within Site Reliability Engineering (SRE) or Site Reliability Operations (SRO) organizations with exposure to shift-left methodologies, self-service, and automation practices.</li></ul></div>

IT Support Engineer

AUGENTIC

<div>
 
 Job Description
 
 
 
 
 AUGENTIC - Driven by Technology
 
 
 
 AUGENTIC GmbH having its headquarters in Munich, Germany is a globally operating company in the business of digital identities and the related identity management solutions.
 
 
 Our projects range from the supply of components all the way through to turnkey solution projects. Using AUGENTIC&rsquo;s competencies and talents our worldwide government customers have a responsible, trustworthy and competent partner for the secure handling of the identity of their citizens.
 
 
 Founded by a team of well-known industry experts, AUGENTIC GmbH combines innovative power with many years of expertise enabling customers to benefit from tailor made solutions of exceptional and lasting quality.
 
 
 Our talents are a key asset to the company. Therefore, we put great efforts in individual development plans. So, are you interested in shaping the future and make this world a safer place together with us? You can expect exciting, varied tasks with the opportunity to actively shape the further development of the company.
 
 
 
 BE AUGENTIC!
 
 
 
 We are currently looking for a
 
 
 
 DevOps Engineer (m/f/d)
 
 
 
 
 for our headquarters in Munich:
 
 
 
 
 Role Overview:
 
 
 
 We are looking for an experienced DevOps Engineer to design, implement, and maintain the CI/CD pipelines, infrastructure, and automation processes for our on-premises identity management solutions. The ideal candidate will have extensive experience with on-premises environments, infrastructure as code, and security best practices. This role requires a proactive and innovative mindset to optimize system performance and reliability.
 
 
 This position is based in Munich, with frequent coordination with international teams and project stakeholders.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Infrastructure &amp; On-Premises Management:
 </li>
 <ul>
 <li>
 Design, deploy, and maintain scalable on-premise infrastructure,
 </li>
 <li>
 Implement Infrastructure as Code (IaC) using Terraform, Ansible, or similar tools,
 </li>
 <li>
 Ensure high availability, resilience, and security of on-premise environments.
 
 
 </li>
 </ul>
 </ul>
 <ul>
 <li>
 CI/CD Pipeline Implementation:
 </li>
 <ul>
 <li>
 Develop and maintain automated CI/CD pipelines for application deployment,
 </li>
 <li>
 Integrate automated testing, security scans, and monitoring tools into CI/CD workflows.
 </li>
 <li>
 Optimize deployment strategies for minimal downtime and rollback capabilities.
 
 
 </li>
 </ul>
 </ul>
 <ul>
 <li>
 Automation &amp; Configuration Management:
 </li>
 <ul>
 <li>
 Automate deployment, scaling, and recovery processes using scripting languages such as Bash, Python, or PowerShell,
 </li>
 <li>
 Implement containerization and orchestration solutions using Docker and Kubernetes,
 </li>
 <li>
 Ensure seamless integration of DevOps tools into development and operational workflows,
 
 
 </li>
 </ul>
 </ul>
 <ul>
 <li>
 Monitoring, Logging &amp; Performance Optimization:
 </li>
 <ul>
 <li>
 Implement monitoring and logging solutions using Prometheus, Grafana, ELK Stack, or equivalent tools,
 </li>
 <li>
 Analyze system performance metrics and optimize resource utilization,
 </li>
 <li>
 Develop and maintain alerts and dashboards for real-time visibility.
 
 
 </li>
 </ul>
 </ul>
 <ul>
 <li>
 Security &amp; Compliance:
 </li>
 <ul>
 <li>
 Ensure security best practices, including identity and access management (IAM), encryption, and network, security,
 </li>
 <li>
 Implement compliance controls for GDPR, ISO/IEC 27001, and other industry standards,
 </li>
 <li>
 Conduct regular security audits and vulnerability assessments.
 
 
 </li>
 </ul>
 </ul>
 <ul>
 <li>
 Collaboration &amp; Agile Development:
 </li>
 <ul>
 <li>
 Work closely with development, QA, and operations teams to streamline workflows,
 </li>
 <li>
 Participate in sprint planning, retrospectives, and technical discussions,
 </li>
 <li>
 Provide guidance and mentoring to junior DevOps engineers.
 
 </li>
 </ul>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Software Engineering, or a related field,
 </li>
 <li>
 Minimum of 7 years of experience in DevOps, infrastructure engineering, or on-premise environment management,
 </li>
 <li>
 Extensive experience with on-premises infrastructure design and maintenance,
 </li>
 <li>
 Strong proficiency in Infrastructure as Code (Terraform, Ansible, etc.),
 </li>
 <li>
 Experience with containerization (Docker, Kubernetes) and microservices architecture,
 </li>
 <li>
 Knowledge of CI/CD tools such as Jenkins, GitLab CI/CD, or GitHub Actions,
 </li>
 <li>
 Expertise in system monitoring, logging, and observability solutions,
 </li>
 <li>
 Strong scripting skills in Bash, Python, or PowerShell,
 </li>
 <li>
 Familiarity with security best practices in on-premises environments,
 </li>
 <li>
 Excellent problem-solving and analytical skills,
 </li>
 <li>
 Strong collaboration and communication abilities.
 </li>
 <li>
 Fluency in English; knowledge of Portuguese, French, or German is a plus.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 A responsible position with room for creativity and development,
 </li>
 <li>
 An international working environment characterized by team spirit and mutual appreciation,
 </li>
 <li>
 An extraordinary and exciting product portfolio,
 </li>
 <li>
 Flat hierarchies,
 </li>
 <li>
 Flexible working hours,
 </li>
 <li>
 Modern office environment,
 </li>
 <li>
 Company Health Insurance
 </li>
 </ul>
</div>

DevOps Engineer (m/f/d)

ProDIG GmbH

<div><div><div>With highly motivated people, we develop sophisticated software systems that efficiently create long-term added value for our customers &ndash; this is what ProDIG GmbH stands for. As a digital consulting and service company, ProDIG supports many customers from diverse industries such as banking &amp; FinTech, IT &amp; telecommunications, aerospace and automotive.

We focus on trust and always have an open ear for our employees and customers. Our values such as humanity, solution orientation and a practical hands-on mentality form the foundation for the development of our young and dynamic company.

Shape the digital future with us as! 


Salary: approx. &euro;65,000 &ndash; &euro;75,000 gross per annum

Your tasks:
<ul>
<li>Support the production deployment and operation of Kubernetes-based platforms across AWS and on-premises environments.</li>
<li>Design, implement, and continuously improve scalable, highly available cloud-native infrastructure.</li>
<li>Automate infrastructure provisioning, deployments, and operational workflows using GitOps, CI/CD, and Infrastructure as Code.</li>
<li>Develop and maintain monitoring, logging, and observability solutions to ensure platform reliability and performance.</li>
<li>Support the operation and optimization of MLOps platforms for production machine learning workloads.</li>
<li>Collaborate closely with software development and security teams to implement secure, resilient platform architectures.</li>
<li>Analyze, troubleshoot, and resolve complex infrastructure and platform issues while driving continuous improvements.</li>
<li>Contribute to the implementation of security, compliance, and operational best practices across the platform landscape.</li></ul> 


Your profile:
<ul><li>Y Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, Engineering, or a comparable qualification.</li>
<li>Experience in Site Reliability Engineering, Platform Engineering, Infrastructure Engineering, DevOps, or MLOps within complex IT environments.</li>
<li>Strong expertise in operating production Kubernetes platforms across AWS and on-premises infrastructures.</li>
<li>Tech Stack: Kubernetes, AWS, Linux, GitOps, CI/CD, Terraform, Ansible, Helm, ArgoCD and/or Flux, Grafana, Prometheus, Infrastructure as Code; experience with MLOps platforms is advantageous.</li>
<li>Solid understanding of cloud-native architectures, distributed systems, networking, and platform automation.</li>
<li>Knowledge of the German BSI IT-Grundschutz framework is considered an advantage.</li>
<li>Professional proficiency in English and German (C1 or higher).</li>
<li>Employment is subject to the successful completion of a security screening in accordance with applicable national security regulations; eligibility depends on the relevant legal requirements, including nationality-related restrictions where applicable.</li></ul> 


Our Benefits:

It is important to us that you not only develop professionally as part of our team, but also feel good personally. That&rsquo;s why we offer individual benefits that are tailored to your needs &ndash; because with us, you count as a unique person.

Contact:

ProDIG offers you the opportunity of an exciting career in a highly innovative, digital-technological environment. We will be happy to assist and answer your questions at any time. We are looking forward to your application!

Important note:

Please be advised that a valid work permit for Germany is required for non-EU citizens. Unfortunately, applications without a valid work permit and sufficient German language skills may not be considered.</div></div></div>

DevOps Platform Engineer (m/f/d) Munich

Cartken

<div>
 
 Who We Are
 
 
 
 Cartken is a startup at the forefront of autonomous robotics and short-distance material transport. Our team has more than a century of combined experience solving some of the toughest challenges in autonomous vehicles, robotics, and operations at Google, Amazon, Apple, and Facebook. We have robots operating around the world providing reliable and cost-effective short-distance material transport for our industrial customers.
 
 
 The AI powering our robots makes them the safest and most reliable in the market today.Our robots are equipped with multiple sensors and cameras which allow them to stop on a dime in order to avoid collisions and choose routes which have the fewest hazards.
 
 
 You can read more about Cartken here.
 
 
 
 Our mission
 
 
 
 We streamline short-distance material transport through cost-efficient and flexible autonomous robotics.
 
 
 
 Why join us
 
 
 
 <ul>
 <li>
 We&rsquo;re passionate about applying state-of-the-art technology to solve real-world problems and become the brains behind an automation revolution
 </li>
 <li>
 We&rsquo;re fast and thrive on making an impact
 </li>
 <li>
 You get to work with a diverse team of super talented people across USA and Germany
 </li>
 <li>
 You&rsquo;ll also get to build a growing startup and by default do and learn a tonne
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 5+ years of relevant work experience.
 </li>
 <li>
 Own the systems managing, configuring, updating and monitoring our robot fleet.
 </li>
 <li>
 Help design, implement and validate the next generation of our fleet update and job execution platform.
 </li>
 <li>
 Develop backend services and internal tools for operational workflows, job scheduling, configuration management, and fleet maintenance.
 </li>
 <li>
 Work on core backend topics such as APIs, service-to-service communication, data modeling, security, reliability, and observability.
 </li>
 <li>
 Work on infrastructure topics such as NATS, GCP, Docker, CI/CD pipelines, deployment automation, and observability.
 </li>
 <li>
 Collaborate closely with robotics and operations teams to turn real-world field &amp; customer requirements into robust technical solutions.
 
 
 </li>
 </ul>
 
 What You Bring
 
 
 
 <ul>
 <li>
 Strong backend, systems, or DevOps engineering experience.
 </li>
 <li>
 Excellent problem-solving skills and the ability to work independently on broad, sometimes ambiguous technical challenges.
 </li>
 <li>
 You enjoy ownership of large systems and push them forward independently
 </li>
 <li>
 Experience with distributed systems, Linux-based environments, networking, containers, or infrastructure automation.
 </li>
 <li>
 A pragmatic engineering mindset: you care about robustness, reliability, maintainability, and getting useful systems into production.
 </li>
 <li>
 Experience in the IoT/Robotics space is a plus
 </li>
 <li>
 Bonus: experience with robotics, fleet management, NATS, MongoDB, Postgres, GCP, CI/CD infrastructure, AWX, Docker, Go, NodeJS or Python.
 </li>
 <li>
 You are based in or around Munich and can work on-site (with option for partial home office)
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 Our team is distributed around the world and comes from strong, diverse work and cultural backgrounds. From Google, Apple, Bosch, Lyft, and Amazon, our technical team are experts in AI, robotics, self-driving vehicles, and logistics.
</div>

Senior Backend & Systems Engineer

Collaboration Betters the World

<div>Willkommen bei CBTW! Wir sind ein innovatives Team mit &uuml;ber 3.000 Mitarbeitern in 21 L&auml;ndern und f&uuml;hrend in den Bereichen Strategie &amp; Governance, Software-Engineering, Datenanalyse &amp; KI und mehr.

Als Mitglied unseres Teams bei CBTW arbeitest Du in einem inspirierenden Umfeld an anspruchsvollen Projekten. Wir f&ouml;rdern die Entwicklung der Experten von morgen und sch&auml;tzen Deine Ideen. Wenn Du bereit bist, die Zukunft der datengetriebenen Transformation mit einem hochmotivierten Team zu gestalten, bewirb Dich jetzt bei CBTW! Zusammen schaffen wir Gro&szlig;artiges.
<h2 class="jobSectionHeader">
Aufgaben</h2>

Cloud &amp; Infrastructure Automation
<ul>
<li>Du konzipierst, entwickelst und automatisierst moderne Cloud-Infrastrukturen mit Terraform sowie Configuration-Management-Tools wie Ansible, Chef oder Puppet.</li>
<li>Du entwickelst skalierbare Infrastructure-as-Code-L&ouml;sungen und etablierst Best Practices f&uuml;r den Betrieb moderner Plattformen.</li>
</ul>
CI/CD &amp; Plattform Engineering
<ul>
<li>Du entwickelst, optimierst und betreibst moderne CI/CD-Pipelines mit Tools wie GitLab CI, Jenkins, Azure DevOps oder GitHub Actions.</li>
<li>Du unterst&uuml;tzt unsere Kunden bei der Einf&uuml;hrung effizienter DevOps-Prozesse und einer hohen Automatisierung.</li>
</ul>
Container &amp; Kubernetes
<ul>
<li>Du administrierst und optimierst Kubernetes-Cluster (AKS, EKS, GKE oder On-Premises).</li>
<li>Du implementierst moderne Deployment-Strategien, GitOps-Ans&auml;tze und sorgst f&uuml;r Skalierbarkeit, Hochverf&uuml;gbarkeit und Sicherheit der Plattformen.</li>
</ul>
Monitoring, Security &amp; Beratung
<ul>
<li>Du etablierst Monitoring- und Observability-L&ouml;sungen mit Tools wie Datadog, Dynatrace, Prometheus oder Grafana.</li>
<li>Du implementierst Sicherheits- und Compliance-Anforderungen (IAM, Zertifikatsmanagement, Vulnerability Management).</li>
<li>Du ber&auml;tst unsere Kunden bei Multi-Cloud- und Hybrid-Cloud-Strategien und unterst&uuml;tzt sie auf ihrem Weg zu einer modernen DevOps-Organisation.</li>
<li>Du begleitest technische Architekturentscheidungen und unterst&uuml;tzt weniger erfahrene Kolleg:innen als Mentor:in.</li>
</ul><h2 class="jobSectionHeader">Qualifikation</h2>
<ul><li>Erfolgreich abgeschlossenes Studium der Informatik, Wirtschaftsinformatik oder eine vergleichbare Qualifikation. 
Mindestens 6 Jahre Erfahrung im Bereich DevOps, Site Reliability Engineering (SRE) oder Cloud Engineering.</li>
<li>Sehr gute Kenntnisse in Infrastructure as Code mit Terraform, einschlie&szlig;lich modularer Architekturen.</li>
<li>Umfangreiche Erfahrung mit CI/CD-Pipelines und modernen Automatisierungsprozessen.</li>
<li>Fundierte Kenntnisse im Betrieb und der Administration von Kubernetes.</li>
<li>Erfahrung mit mindestens einem Hyperscaler (AWS, Microsoft Azure oder Google Cloud Platform).</li>
<li>Sehr gute Kenntnisse in mindestens einer Skript- oder Programmiersprache wie Python oder Go.</li>
<li>Erfahrung mit OpenShift oder Rancher ist von Vorteil.</li>
<li>Verhandlungssichere Deutsch (C1)- und Englischkenntnisse.</li>
<li>Bereitschaft, gelegentlich zu Kund:innen zu reisen.</li>
<li>Gehaltsspanne f&uuml;r diese Position (Senior-Level): 75.000 &euro; &ndash; 95.000 &euro; brutto/Jahr. Die finale Einstufung erfolgt abh&auml;ngig von Erfahrung und Skillset</li>
</ul>
Es ist unwahrscheinlich, dass jede:r Kandidat:in all diese Anforderungen erf&uuml;llt. Wenn Deine Erfahrungen anders sind und Du glaubst, dass Du einen Mehrwert f&uuml;r die Position bieten kannst, lass uns gerne dar&uuml;ber sprechen!
<h2 class="jobSectionHeader">
Benefits</h2>

Bei CBTW erwartet Dich mehr als nur ein Job &ndash; wir bieten Dir ein Umfeld, in dem Du wachsen, mitgestalten und ganz Du selbst sein kannst. Unsere Kultur lebt von Vertrauen, Eigenverantwortung und echter Zusammenarbeit &ndash; egal ob remote oder vor Ort. Wir treiben Innovation gemeinsam voran, feiern Erfolge und leben Vielfalt. Dass wir bereits f&uuml;nf Jahre in Folge als &bdquo;Top Company&ldquo; von kununu ausgezeichnet wurden, best&auml;tigt uns in unserem Weg.

Das erwartet Dich bei uns:

Onboarding &amp; Teamspirit
<ul>
<li>Willkommenstag, Hello Drink &amp; Newbie Lunch</li>
<li>Mentoring-Programm f&uuml;r Deinen idealen Einstieg</li>
<li>Afterwork-Events, Summer-Tech-Event &amp; festliche Weihnachtsfeier</li>
<li>Gemeinsames soziales Engagement bei Spendenaktionen</li>
</ul>
Entwicklung &amp; Karriere
<ul>
<li>Individuelle Karrierepfade &amp; regelm&auml;&szlig;ige Feedbackgespr&auml;che</li>
<li>Vielf&auml;ltige Inhouse-Trainings, Online-Kurse &amp; externe Weiterbildungen</li>
<li>Internationale Zusammenarbeit mit Kolleg:innen aus ganz Europa</li>
</ul>
️ Work-Life-Balance &amp; Flexibilit&auml;t
<ul>
<li>Remote Work &amp; Workation &ndash; innerhalb der EU und dar&uuml;ber hinaus</li>
<li>Sabbatical-M&ouml;glichkeiten &amp; flexible Arbeitszeitmodelle</li>
<li>Feiertagskalender Baden-W&uuml;rttemberg plus die Feiertage Deines Bundeslands &ndash; doppelter Benefit</li>
<li>30 Urlaubstage im Jahr</li>
</ul>
Ausstattung &amp; Mobilit&auml;t
<ul>
<li>Guthaben zur Ausstattung Deines mobilen Arbeitsplatzes</li>
<li>Deutschlandticket oder Fahrradleasing &ndash; Du hast die Wahl</li>
<li>Optional: BahnCard f&uuml;r noch mehr Reise-Flexibilit&auml;t</li>
</ul>
️ Sicherheit &amp; Vorsorge
<ul>
<li>Unterst&uuml;tzung bei Altersvorsorge &amp; Verm&ouml;gensaufbau</li>
<li>Vielf&auml;ltige Optionen zur finanziellen Absicherung</li>
</ul>
Wellbeing &amp; Gesundheit
<ul>
<li>Zugang zum Employee Assistance Program (EAP) &ndash; auch f&uuml;r Angeh&ouml;rige</li>
</ul>
Weitere Goodies
<ul>
<li>Pr&auml;mien f&uuml;r besonderes Engagement</li>
<li>Exklusive Vorteile &uuml;ber unsere Corporate Benefits-Plattform</li>
<li>Unsere CBTW-Spotify-Playlist f&uuml;r einen musikalischen Eindruck vom Team
</li></ul>Jetzt fehlst nur noch Du &ndash; wir freuen uns darauf, Dich kennenzulernen!

Schau Dir unsere CBTW-Spotify-Playlist an: CBTW auf Spotify h&ouml;ren</div>

Senior DevOps Engineer (m/w/d)

Clera

<div>
 
 About The Role
 
 
 
 Join a well-funded, early-stage startup bringing AI agents to a highly specialised professional services industry. This is a hands-on, end-to-end engineering role: you will design, build, ship, and continuously improve production AI agents that automate repetitive, high-value workflows for real customers. You will work directly with those customers, translate what you observe into reliable automations, and own everything from prototype to production monitoring.
 
 
 The team moves fast, values measurable impact, and expects every engineer to take full ownership of the problems they pick up.
 
 
 What You'll Do
 
 
 <ul>
 <li>
 Convert observed customer workflows into autonomous AI agents that perform work end-to-end.
 </li>
 <li>
 Collaborate directly with customers to understand their operations, surface automation opportunities, and iterate on solutions.
 </li>
 <li>
 Ship automations that replace hours of manual, repetitive effort and demonstrably improve user efficiency.
 </li>
 <li>
 Own production AI agents across their full lifecycle: build, deploy, monitor, and improve.
 </li>
 <li>
 Run structured experiments with new models, prompting techniques, and use cases; benchmark results and ship what works.
 </li>
 <li>
 Design thoughtful AI &times; Human interfaces that make automation practical and trustworthy for professional users.
 </li>
 <li>
 Instrument systems with observability tooling &mdash; metrics, dashboards, and alerts &mdash; to ensure reliability at scale.
 
 
 </li>
 </ul>
 What We're Looking For
 
 
 
 Must-haves (dealbreakers):
 
 
 
 <ul>
 <li>
 5+ years of experience in ML/AI product development, with a strong track record of building and delivering production-grade AI agents.
 </li>
 <li>
 Demonstrated experience shipping LLM-based systems in production (not just prototypes).
 </li>
 <li>
 Proven end-to-end ownership of production AI agents: build &rarr; deploy &rarr; monitor &rarr; improve.
 
 
 </li>
 </ul>
 
 Required skills &amp; experience:
 
 
 
 <ul>
 <li>
 Strong Python programming skills; comfortable shipping production-quality Python code.
 </li>
 <li>
 Experience turning observed real-world workflows into deployable AI automations.
 </li>
 <li>
 Ability to gather requirements directly from customers and translate them into working software.
 </li>
 <li>
 Product-minded approach &mdash; you think about the user experience, not just the model performance.
 
 
 </li>
 </ul>
 
 Nice to have:
 
 
 
 <ul>
 <li>
 Experience designing AI interfaces for human-AI collaboration.
 </li>
 <li>
 Systematic experimentation and benchmarking of models and techniques.
 </li>
 <li>
 Observability and monitoring experience for AI systems (metrics, dashboards, alerting).
 </li>
 <li>
 Background in or exposure to professional services, fintech, or compliance-heavy industries.
 
 
 </li>
 </ul>
 Location
 
 
 This role is
 
 on-site in Munich, Bavaria, Germany
 
 . Candidates must be willing and able to work from the Munich office.
 
 Visa sponsorship is not available
 
 &mdash; applicants must already have the right to work in Germany.
 
 
 
 Compensation &amp; Benefits
 
 
 
 Compensation details were not specified for this role. You will be joining an early-stage, seed-funded startup where equity upside and direct impact are significant parts of the overall package. Specifics will be discussed during the interview process.
 
 
</div>

Member of Technical Staff, Product (AI Agents)

CLERA

<div><h3 class="jobSectionHeader">About the Role</h3>
Join a well-funded, early-stage startup bringing AI agents to a highly specialised professional services industry. This is a hands-on, end-to-end engineering role: you will design, build, ship, and continuously improve production AI agents that automate repetitive, high-value workflows for real customers. You will work directly with those customers, translate what you observe into reliable automations, and own everything from prototype to production monitoring.
The team moves fast, values measurable impact, and expects every engineer to take full ownership of the problems they pick up.<h3 class="jobSectionHeader">
What You'll Do</h3><ul><li>
Convert observed customer workflows into autonomous AI agents that perform work end-to-end.</li><li>
Collaborate directly with customers to understand their operations, surface automation opportunities, and iterate on solutions.</li><li>
Ship automations that replace hours of manual, repetitive effort and demonstrably improve user efficiency.</li><li>
Own production AI agents across their full lifecycle: build, deploy, monitor, and improve.</li><li>
Run structured experiments with new models, prompting techniques, and use cases; benchmark results and ship what works.</li><li>
Design thoughtful AI &times; Human interfaces that make automation practical and trustworthy for professional users.</li><li>
Instrument systems with observability tooling &mdash; metrics, dashboards, and alerts &mdash; to ensure reliability at scale.</li></ul><h3 class="jobSectionHeader">
What We're Looking For</h3>
Must-haves (dealbreakers):<ul><li>
5+ years of experience in ML/AI product development, with a strong track record of building and delivering production-grade AI agents.</li><li>
Demonstrated experience shipping LLM-based systems in production (not just prototypes).</li><li>
Proven end-to-end ownership of production AI agents: build deploy monitor improve.</li></ul>
Required skills &amp; experience:<ul><li>
Strong Python programming skills; comfortable shipping production-quality Python code.</li><li>
Experience turning observed real-world workflows into deployable AI automations.</li><li>
Ability to gather requirements directly from customers and translate them into working software.</li><li>
Product-minded approach &mdash; you think about the user experience, not just the model performance.</li></ul>
Nice to have:<ul><li>
Experience designing AI interfaces for human-AI collaboration.</li><li>
Systematic experimentation and benchmarking of models and techniques.</li><li>
Observability and monitoring experience for AI systems (metrics, dashboards, alerting).</li><li>
Background in or exposure to professional services, fintech, or compliance-heavy industries.</li></ul><h3 class="jobSectionHeader">
Location</h3>
This role is on-site in Munich, Bavaria, Germany. Candidates must be willing and able to work from the Munich office. Visa sponsorship is not available &mdash; applicants must already have the right to work in Germany.<h3 class="jobSectionHeader">
Compensation &amp; Benefits</h3>
Compensation details were not specified for this role. You will be joining an early-stage, seed-funded startup where equity upside and direct impact are significant parts of the overall package. Specifics will be discussed during the interview process.</div>

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