customer cloud engineer

Hawk

<div>
 
 About Us
 
 
 
 Hawk is the leading provider of AI-supported anti-money laundering and fraud detection technology. Banks and payment providers globally are using Hawk&rsquo;s powerful combination of traditional rules and explainable AI to improve the effectiveness of their AML compliance and fraud prevention by identifying more crime while maximizing efficiency by reducing false positives. With our solution, we are playing a vital role in the global fight against Money Laundering, Fraud, or the financing of terrorism. We offer a culture of mutual trust, support and passion &ndash; while providing individuals with opportunities to grow professionally and make a difference in the world.
 
 
 
 Why this role exists
 
 
 
 Customer Cloud is a critical part of Hawk&rsquo;s growth. It enables customers to run Hawk AI in their own cloud environment, meeting regulatory, security, and data residency requirements.
 
 
 Today, Customer Cloud relies too heavily on bespoke work. Pre-sales often requires deep engineering input, deployments take longer than they should, and operational responsibility is not evenly distributed.
 
 
 We are standardising and simplifying this so Customer Cloud becomes easier to sell, faster to deploy, and simpler to operate at scale.
 
 
 This role exists to help drive that shift. You will help turn Customer Cloud from a bespoke, engineer-heavy process into a standardised, repeatable product.
 
 
 You will approach Customer Cloud as a platform problem, turning one-off solutions into automation, patterns, and scalable, reusable systems.
 
 
 
 What You&rsquo;ll Do
 
 
 
 You will work across the full lifecycle of Customer Cloud environments, building the systems, automation, and patterns that make Customer Cloud easier to sell, faster to deploy, and simpler to operate at scale. You will take ownership of the systems and patterns that make Customer Cloud scalable.
 
 
 
 Enable technical pre-sales
 
 
 
 <ul>
 <li>
 Work with our Sales and Customer Success teams to help them answer technical questions during the sales process.
 </li>
 <li>
 Provide clear guidance on architecture, deployment approaches, and operational expectations so teams can confidently land new Customer Cloud customers.
 
 
 </li>
 </ul>
 
 Standardise onboarding and deployment
 
 
 
 <ul>
 <li>
 Turn Customer Cloud onboarding into a fast, repeatable process.
 </li>
 <li>
 Build automation, tooling, and deployment patterns that reduce environment setup from months to days (or even hours) and remove unnecessary manual effort.
 
 
 </li>
 </ul>
 
 Build reliable, operable environments
 
 
 
 <ul>
 <li>
 Design and evolve deployment patterns that ensure Customer Cloud environments are stable, observable, and easy to operate.
 </li>
 <li>
 Work across platforms such as AWS, GCP, Azure, OpenShift, and Tanzu to reliably run Hawk across different customer infrastructure environments.
 
 
 </li>
 </ul>
 
 Enable scalable operations and support
 
 
 
 <ul>
 <li>
 Partner with the Technical Support team and engineering teams to resolve complex issues, capture operational knowledge, and turn solutions into runbooks, tooling, and documentation.
 </li>
 <li>
 The goal is simple: reduce repeat issues and minimise day-to-day engineering involvement in support.
 
 
 </li>
 </ul>
 
 What Good Looks Like
 
 
 
 <ul>
 <li>
 We deploy new customer environments quickly and consistently
 </li>
 <li>
 Pre-sales questions are answered quickly using clear patterns and documentation
 </li>
 <li>
 Customer Cloud environments go live quickly and predictably
 </li>
 <li>
 Fewer incidents caused by environment inconsistencies
 </li>
 <li>
 Technical Support resolves most issues without engineering involvement
 </li>
 <li>
 Customer Cloud becomes a predictable, scalable part of the business
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need
 
 
 
 <ul>
 <li>
 Solid experience building and operating cloud-native systems
 </li>
 <li>
 Strong working knowledge of Kubernetes and containerised applications
 </li>
 <li>
 Experience with at least one major cloud provider (AWS, GCP, or Azure)
 </li>
 <li>
 Ability to debug and resolve issues across infrastructure and application layers
 </li>
 <li>
 Comfort working across build and operate, not just feature development
 </li>
 <li>
 Clear, structured thinking: you simplify rather than complicate
 
 
 </li>
 </ul>
 
 Nice to have
 
 
 
 <ul>
 <li>
 Experience with OpenShift or VMware Tanzu
 </li>
 <li>
 Familiarity with data-heavy systems (e.g. OpenSearch, Kafka, databases)
 </li>
 <li>
 Experience supporting enterprise customers or regulated environments
 </li>
 <li>
 Exposure to CI/CD, infrastructure as code, and deployment automation
 
 
 </li>
 </ul>
 
 How We Work
 
 
 
 <ul>
 <li>
 We optimise for outcomes, not activity
 </li>
 <li>
 We build for scale, not one-off success
 </li>
 <li>
 We reduce complexity wherever possible
 </li>
 <li>
 We take ownership end-to-end
 
 
 </li>
 </ul>
 
 The opportunity
 
 
 
 Customer Cloud will be a major driver of Hawk&rsquo;s enterprise growth. Done well, it becomes a competitive advantage. Done badly, it slows everything down. You&rsquo;ll be in the middle of that shift, helping us build a Customer Cloud platform that scales with the business rather than slowing it down.
</div>

Customer Cloud Engineer

develop

<div>
 
 
 Senior DevOps Engineer | Munich | IT Consultancy | German (B2+)
 
 
 
 &euro;80,000 - &euro;100,000 per annum
 
 
 
 
 
 
 We're working with a leading IT consultancy in Munich that's looking for a Senior DevOps Engineer to deliver cloud and DevOps solutions across a portfolio of exciting digital transformation projects
 
 
 
 
 
 
 .
 
 What you'll d
 
 
 
 
 
 <ul>
 <li>
 o:
 
 Design and implement scalable cloud and DevOps soluti
 </li>
 <li>
 onsBuild and optimise CI/CD pipelines and Infrastructure as C
 </li>
 <li>
 odeLead DevOps best practices across multiple client engageme
 </li>
 <li>
 ntsWork closely with development, cloud, and platform te
 </li>
 </ul>
 
 
 
 
 
 ams
 
 What we're looking
 
 
 
 
 
 <ul>
 <li>
 for:
 
 Proven experience as a Senior DevOps Eng
 </li>
 <li>
 ineerStrong skills in Kubernetes, Docker, Terraform, and
 </li>
 <li>
 CI/CDExperience with AWS, Azure, o
 </li>
 <li>
 r GCPExcellent stakeholder and consulting s
 </li>
 <li>
 killsGerman language skills at B2 level or above and strong En
 </li>
 </ul>
 
 
 
 
 
 glish
 
 What's on
 
 
 
 
 
 <ul>
 <li>
 offer:
 
 Work on a diverse portfolio of enterprise transformation p
 </li>
 <li>
 rojectsHybrid working in
 </li>
 <li>
 MunichCompetitive salary, benefits, and clear career prog
 </li>
 <li>
 ressionAccess to the latest cloud technologies and certifi
 </li>
 </ul>
 
 
 
 
 cations
 
 Interested? Send me a message on LinkedIn or apply directly to learn more about this oppo
 
 
 
 
 rtunity.
</div>

Senior DevOps Engineer

MHP – A Porsche Company

<div>
 
 Aufgaben
 
 
 
 Du m&ouml;chtest die Datenstrategie unserer Kunden aktiv mitgestalten und deine
 
 Snowflake-Expertise
 
 in herausfordernde Projekte einbringen? Du &uuml;bernimmst gerne Verantwortung f&uuml;r Projekte und Teams mit Fokus auf Snowflake-Plattformen? Dann werde Teil unseres Teams und setze deine Erfahrung in spannenden Vorhaben ein &ndash; von der strategischen Architekturplanung &uuml;ber komplexe Integrationen bis hin zur Performance-Optimierung und Umsetzung moderner Governance-Konzepte.
 
 
 Dabei warten die folgenden Aufgaben auf dich:
 
 
 
 <ul>
 <li>
 Verantwortung f&uuml;r die Planung, Steuerung und erfolgreiche Umsetzung komplexer Snowflake-Implementierungs- und Migrationsprojekte
 </li>
 <li>
 Entwicklung und Einf&uuml;hrung skalierbarer Datenarchitekturen und Cloud-Integrationen unter Ber&uuml;cksichtigung von Performance, Sicherheit und Compliance
 </li>
 <li>
 Strategische Beratung von Kunden zur Optimierung ihrer Datenplattform und Definition langfristiger Plattform-Roadmaps
 </li>
 <li>
 Etablierung und Weiterentwicklung von Governance-Frameworks und Sicherheitsstandards im Snowflake-Umfeld
 </li>
 <li>
 Beratung zu Best Practices, Identifikation neuer Potenziale und Unterst&uuml;tzung beim strategischen Ausbau von Daten- und AI-L&ouml;sungen beim Kunden
 
 
 
 </li>
 </ul>
 
 Anforderungen
 
 
 
 Um f&uuml;r deinen Weg als (Senior) Manager Snowflake (all genders) gewappnet zu sein, hast du folgende Qualifikationen im Gep&auml;ck:
 
 
 
 <ul>
 <li>
 Abgeschlossenes Studium und mindestens 6 Jahre Berufserfahrung in der Beratung mit der Snowflake-Plattform in Rollen wie Data Engineer, Developer, Analyst, Data Scientist, ML Engineer oder Administrator
 </li>
 <li>
 Leidenschaft f&uuml;r Data &amp; AI-L&ouml;sungen sowie Cloud-Technologien
 </li>
 <li>
 Expertise in Snowflake (Architektur, Optimierung, Governance) best&auml;tigt durch eine SnowPro Advanced-Zertifizierung oder vergleichbare Nachweise
 </li>
 <li>
 Umfassende Erfahrung mit Datapipelines, Cloud-Plattformen sowie mit Programmiersprachen (z.B. SQL, Python)
 </li>
 <li>
 Deine Arbeitsweise ist gepr&auml;gt von analytischem Denken, pragmatischem Vorgehen, Teamf&auml;higkeit und Kundenorientierung
 
 
 
 </li>
 </ul>
 Wissenswertes vor der Abfahrt:
 
 
 
 <ul>
 <li>
 
 Beginn:
 
 nach Vereinbarung &ndash; immer zu Beginn eines Monats
 </li>
 <li>
 
 Arbeitszeit:
 
 Vollzeit (40h) und Teilzeit; 30 Urlaubstage
 </li>
 <li>
 Arbeitsvertrag: Unbefristet
 </li>
 <li>
 Bereich: Consulting
 </li>
 <li>
 
 Sprache:
 
 verhandlungssicheres Deutsch &amp; Englisch
 </li>
 <li>
 
 Flexibilit&auml;t &amp; Reisebereitschaft
 
 </li>
 </ul>
</div>

(Senior) Manager Snowflake (all genders)

Realworld One GmbH & Co. KG

<div><h4 class="jobSectionHeader">Position Summary</h4><div><div>
As a Senior DevOps Engineer at realworld one, you will maintain and continuously evolve a high-performance Azure-based cloud infrastructure that enables our XR solutions to run reliably at scale for leading global Life Sciences organizations. 
 
While organizations invest billions in systems that manage quality, operations, service, and business performance, no system today is designed to measure, improve, and manage execution itself. We believe execution performance will become a critical enterprise layer, enabling organizations to systematically improve operational performance and business outcomes. 
 
realworld one is building the platform required to make this vision a reality. 
 
In this role, you will architect resilient, production-grade deployment solutions and automation pipelines that support our product development and delivery flow, and enable its smooth operation. Through technical excellence and strong ownership, you will ensure that our cloud infrastructure remains performant, resilient, secure, scalable and maintainable over the long-term. 
 
This role is designed for an ambitious DevOps engineer who combines deep technical expertise, strong ownership, and a commitment to building reliable platforms that enable sustainable growth and engineering excellence.</div></div><h4 class="jobSectionHeader"> 
Responsibilities</h4><ul><li>
Own and evolve reliable, scalable, secure, and high-performing company cloud infrastructure on Azure.</li><li>
Implement and maintain Infrastructure as Code flow, using Terraform.</li><li>
Build and continuously optimize CI/CD pipelines with Azure DevOps.</li><li>
Deploy and monitor containerized applications using Docker and Kubernetes.</li><li>
Manage, configure, and optimize Linux servers to ensure stable and resilient production workloads.</li><li>
Automate workflows using Bash, PowerShell, and Python, manage configuration with Ansible.</li><li>
Develop and support centralized monitoring, logging, and observability solutions (ELK, Loki, Prometheus, Grafana), contributing to transparency and rapid incident response.</li><li>
Proactively identify architectural risks and performance bottlenecks, ensuring sustainability and operational excellence.</li></ul><h4 class="jobSectionHeader">
Qualifications</h4><ul><li>
5+ years of hands-on experience in a DevOps or comparable role with responsibility for production systems.</li><li>
Strong ownership mindset with the ability to drive reliability, scalability, and performance improvements.</li><li>
Expertise in Microsoft Azure stack, including compute, networking, storage, security, and monitoring services.</li><li>
Solid hands-on experience with Infrastructure as Code using Terraform, configuration management with Ansible, building efficient CI/CD pipelines, Bash/PowerShell/Python scripting and operating Docker/Kubernetes in production environments.</li><li>
Practical knowledge of load balancing, firewall configurations, monitoring and logging, web servers and serverless architectures is an advantage.</li></ul><h4 class="jobSectionHeader">
About us</h4>
realworld one's mission is to accelerate advancements in the life sciences community by providing the best extended reality solutions. Customers include several major, well-known companies such as Bayer, Cytiva, GEA Group, Lonza, Roche, Sartorius, SKAN or ZEISS.</div>

BMW Group

<div><div>INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN. 
At the BMW Group, everything starts with passion. It turns a profession into a vocation. It drives us to keep reinventing mobility and bring innovative ideas onto the roads. Enthusiasm for joint projects turns a team into a strong unit where every opinion is valued. It is only when expertise, highly professional processes and enjoyment of work unite that we can shape the future together. 
</div><div>As a Senior AI Platform Engineer, you will play a pivotal role in advancing the Data &amp; AI transformation at the BMW Group by developing state-of-the-art AI platform solutions to train, run, and continuously improve tailored AI models for our connected vehicles all around the world.
What awaits you?<ul><li>
You build and operate AI platforms for data pipelines, training, deployment, and inference.</li><li>
You optimise for best-in-class AI models, employing suitable ML and LLM approaches.</li><li>
You take technical leadership and ownership, from architecture across teams to mentoring engineers towards operational excellence of AI-based systems.</li><li>
You analyse stakeholder requirements and translate them into scalable AI platform features that enable hundreds of teams.</li><li>
You ensure reliability, performance, and cost-efficient operation of AI-based systems.</li><li>
You develop solutions for efficient interoperability and load distribution between in-vehicle and cloud platforms.</li><li>
You create data and context management solutions to power personalised, customer-centric AI experiences.</li></ul>
What should you bring along?<ul><li>
A university degree in Computer Science, Data Science, or a comparable qualification.</li><li>
At least five years of professional experience in (AI) platform engineering, AI training and inference, or AI tooling.</li><li>
A track record of successfully leading and implementing large and complex technical AI solutions in cloud or edge devices.</li><li>
Experience with AI solutions on the edge or enthusiasm to transfer your knowledge to the in-vehicle domain.</li><li>
Hands-on experience in machine learning or generative AI and proficiency in modern programming languages such as Python, Node.js/Nest.js, Java/Kotlin, or Go, as well as API technologies.</li><li>
A deep understanding of cloud architectures (mainly AWS), container orchestration (Docker, Kubernetes), and (ML)Ops of scalable cloud services.</li><li>
Very good written and spoken English skills. Knowledge of German, both written and spoken, is an advantage.</li></ul>
Would you like to help us drive the AI transformation at BMW? Apply now!
Find out more about Artificial Intelligence at the BMW Group here.
Note: Please apply exclusively online via our career portal. Applications via other channels (especially e-mail) cannot be considered.
What we offer?<ul><li>
Challenging projects through which we are shaping the mobility of tomorrow together.</li><li>
A wide range of personal and professional development opportunities.</li><li>
Attractive, fair, and performance-related remuneration.</li><li>
A high level of job security.</li><li>
Annual special payments such as holiday pay, Christmas bonus, and profit sharing.</li><li>
Flexible working hours including six weeks&rsquo; annual leave and overtime compensation.</li><li>
Discounted BMW &amp; MINI conditions.</li><li>
Many other benefits at bmw.jobs/benefits</li></ul>
Start date: From now on 
Type of employment: Unlimited 
Working hours: Full-time
When you apply, the next steps in the selection process include an online test followed by interviews with the hiring manager (either virtual or in person).
Do you have any questions? Then simply send your enquiry using our contact form. Your enquiry will then be answered by telephone or e-mail.
At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruitment decisions are based on the personality, experience, and skills of the applicants.</div></div>
 <div><div>Legal Entity:</div>
<div><div>BMW AG
</div></div><div>Location:</div>
<div>Munich
</div><div>Job Field:</div>
<div>Software Development
</div><div>Job Id:</div>
<div>176459</div>
<div>Publication Date:</div>
<div>28.04.2026</div></div>

Senior AI Platform Engineer (f/m/x)

driveblocks

<div><h4 class="jobSectionHeader">Your Role</h4>
We are seeking a Solutions &amp; Deployment Engineer to deploy the driveblocks off-road autonomy stack to a broad variety of target vehicle platforms. A core responsibility of this role is to apply, monitor, and benchmark the driveblocks software in customer and internal development vehicles to achieve maximum performance. Planning and conducting investor and customer product demos is a key part of this role. 
 
As a Solutions &amp; Deployment Engineer, you are responsible for the full journey of our customers &ndash; from drafting the first technical concept to configuring, testing and deploying the software. You ensure that the driveblocks software meets the application requirements in an embedded, real time-critical environment. You ensure high performance and quality through system simulations and software component testing on-site under real-world conditions across multiple domains and countries.<h4 class="jobSectionHeader"> 
Your Background</h4>
Must-Have Qualifications 
<ul><li>
Strong analytical skills to quickly understand customer requirements, debug application software, and familiarize with new vehicle and deployment platforms.</li><li>
Hands-on expertise in autonomous vehicles, robotics, or real-time embedded systems, with strong coding skills in C and C++.</li><li>
Experience with dockerized deployments and Linux-based operating systems</li><li>
Ability to work in a fast-paced and dynamic environment with complex technical challenges and requirements.</li><li>
Strong team-player and the ability to communicate complex technology in a clear and straight-forward way to match customer and project expectations.</li><li>
Willingness to travel on short notice to support customer pilots and deployments across domains and countries.</li><li>
Strong system-level thinking and ability to execute feature development in a fast-paced environment</li><li>
Valid German driver's license class B.</li></ul>
Nice-to-Have Qualifications 
<ul><li>
Familiarity with ROS2 or micro-ROS.</li><li>
Familiarity with different embedded compute units including edge accelerators.</li><li>
Experience with modern software engineering tools, including version control, continuous integration and testing as well as cloud-based development processes.</li><li>
Degree in computer science, informatics, engineering or related (Bachelor, Master, or PhD).</li></ul><h4 class="jobSectionHeader">
About Us</h4>
driveblocks develops off-road ground autonomy that works under harsh and challenging conditions. We build systems designed for operation in 3D terrain, vegetation, and heavy dust and dirt, where 100% reliability is core to success, even in GNSS-denied environments. 
 
Working with multiple OEM partners across agriculture, construction, and defense, our focus is to deliver value to vehicle operators and solve the toughest challenges when deploying Physical AI in real world applications. Every deployment helps us to gather the operational data required to build the next generation of reliable and safe autonomous driving systems. 
 
From our office in Munich, we operate as a focused, highly ambitious team with deep expertise in autonomy, Physical AI, and embedded software engineering. We move quickly and set high standards. If you want to build autonomy that is deployed, tested, and operated in the field - we&rsquo;d love to hear from you!<h4 class="jobSectionHeader"> 
Working at driveblocks</h4><ul><li>
Ownership of your work &ndash; Take responsibility for the full value chain</li><li>
Competitive Compensation &amp; Benefits</li><li>
Participate in driveblocks&rsquo; success via a Virtual Stock Option Plan</li><li>
Flexible working hours</li></ul><h4 class="jobSectionHeader">
How To Apply</h4><ul><li>
Upload your CV and additional documents directly through our platform</li><li>
Show your unique motivation</li></ul></div>

Solutions & Deployment Engineer (m/f/d)

OMEGGA

<div><h2 class="jobSectionHeader">What We&rsquo;re Building Towards</h2>
At Omegga, we're on a mission to reinvent how AI and spectroscopy can drive positive change for animals, people and the planet. We started with a clear objective: eliminate chick culling on a global scale through early, non-invasive detection. This outdated practice still impacts billions of lives, and we're here to change that. We're not building for the niche, we're building for the global standard.
Today, our systems are already in use, and the focus is on scaling performance, robustness, and deployment across an international customer base. For us, scaling means more than growth. It means changing an industry for the better.
We are looking for people who take ownership, think in systems, and want to help turn a working product into the industry benchmark. If that sounds like you, we'd love to hear from you.<h2 class="jobSectionHeader">
What We&rsquo;re Looking For</h2>
We're looking for a robotics engineer whose strength sits on the software side but who understands the full system. You're comfortable working across real-time control, cloud infrastructure, and hardware interfaces, and you take ownership of everything from bringing a robot into production to keeping it running reliably at customer sites. You thrive on solving problems across the full stack and take pride in systems that just work.<h2 class="jobSectionHeader">
What You&rsquo;ll Build</h2><ul><li>
Own and evolve our robot control system, built on Motorcortex, ensuring reliable and precise operation across customer deployments</li><li>
Develop and maintain cloud-based remote control and monitoring capabilities using AWS Greengrass, including automated alerting and diagnostics</li><li>
Remotely operate and oversee robot systems at customer sites, taking responsibility for uptime and performance</li><li>
Troubleshoot issues across the full stack, from control software to hardware interfaces, in close collaboration with the hardware team</li><li>
Develop and execute structured testing and quality assurance workflows for robot control and automation systems, covering integration testing, regression testing, commissioning checks, and release validation</li><li>
Build and maintain hardware-in-the-loop test setups to validate control logic, sensor feedback, actuator behavior, fault cases, and recovery scenarios before deployment to customer systems</li><li>
Advance calibration routines and sensor selection for in-hatchery egg detection</li><li>
Work with EtherCAT-based communication systems to ensure robust real-time control of actuators and sensors</li><li>
Interface with operational data to continuously improve system performance and inform product development</li></ul><h2 class="jobSectionHeader">
What You Bring</h2><ul><li>
Degree in Electrical Engineering, Mechanical Engineering, Robotics, or a related field</li><li>
3-5 years of experience in robot control systems, with a strong software focus</li><li>
Proven track record of bringing robotic systems into production and maintaining them in live environments</li><li>
Experience with real-time control frameworks, ideally Motorcortex or comparable platforms</li><li>
Working knowledge of industrial communication protocols, especially EtherCAT</li><li>
Experience with cloud and edge computing for robotics or IoT (AWS Greengrass or similar)</li><li>
Comfortable working at the interface between software and hardware with main focus on software</li><li>
Strong problem-solving skills with a structured approach to troubleshooting complex systems</li></ul><h2 class="jobSectionHeader">
What You&rsquo;ll Get</h2>
Mission &amp; Technical Challenge: At Omegga, you work on problems that are both technically demanding and globally relevant. We build deep-tech solutions with real-world impact, pushing the boundaries of what's currently possible.
Relocation Support: Moving to Munich? We help you find an apartment in the Werksviertel within walking distance of the office. We connect you with the right contacts and take the stress out of apartment hunting.
Work Environment: Located in Munich's Werksviertel, we combine a focused, high-performance culture with flexibility. Up to 50% remote work, depending on role and execution needs.
Ownership: VSOPs (Virtual Stock Options) so you share in the value you help create.
Time Off: 28 vacation days per year, plus December 24th and 31st off.
Benefits &amp; Growth<ul><li>
Monthly meal budget for whatever keeps you going, from quick lunches to proper team dinners</li><li>
Monthly perks budget to spend where it actually matters to you &mdash; fitness, mobility, or the occasional &quot;I earned this&quot; purchase</li><li>
Annual learning budget to invest in your growth, from conferences to deep dives into new domains</li><li>
Free drinks, coffee, and snacks in the office to keep you focused throughout the day</li></ul></div>

Senior Robotics Automation Engineer (m/f/d)

Explore 87+ Customer cloud engineer in Munich this July. Find roles across top companies and apply now to boost your career.

87 customer cloud engineer jobs In Munich

Customer Cloud Engineer

Senior DevOps Engineer

(Senior) Manager Snowflake (all genders)

Senior DevOps Engineer

Senior AI Platform Engineer (f/m/x)

Solutions & Deployment Engineer (m/f/d)

Senior Robotics Automation Engineer (m/f/d)