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linux devops engineer

Thales

<div>Location: Berlin, Germany
We Say HI*
DevOps Engineer (w/m/d)
Thales ist ein weltweit f&uuml;hrender Anbieter von Spitzentechnologien f&uuml;r die Bereiche Verteidigung, Luft- und Raumfahrt sowie Cyber Security und Digital Identity.
Deutsche Unternehmen und die &ouml;ffentlichen Verwaltungen hierzulande sind bereit, ihre digitale Transformation und den Einsatz von KI zu beschleunigen &ndash; aber sie werden niemals Kompromisse bei der Sicherheit ihrer sensibelsten Daten eingehen. Genau hier setzen wir als Thales Deutschland in Partnerschaft mit Google Cloud und unserem neuen, in Gr&uuml;ndung befindlichen Unternehmen an. Mit einer neuen, zu 100 % deutschen Unternehmenseinheit geben wir eine konkrete Antwort auf die strengen Anforderungen des BSI. Was wir hier schaffen, ist eine lokal und vollst&auml;ndig autonom betriebene &sbquo;Trusted Cloud&lsquo;. Sie erm&ouml;glicht den Zugriff auf das breiteste Service-Portfolio am Markt, w&auml;hrend alles strikt unter europ&auml;ischer Gerichtsbarkeit bleibt. Durch die Zusammenf&uuml;hrung deutscher und franz&ouml;sischer Standards wie SecNumCloud, C5 und C3-A bieten wir unseren Kunden eine beispiellose Resilienz und Business Continuity. Dies ist ein Wendepunkt f&uuml;r unsere Branche und ein entscheidender Schritt hin zu einem starken, souver&auml;nen digitalen Europa.
Ihre Mission als DevOps / Site Reliability Engineer:<ul><li>
Betrieb und Weiterentwicklung hochverf&uuml;gbarer souver&auml;ner GCP-Services mit Fokus auf Stabilit&auml;t, Skalierbarkeit und Performance</li><li>
&Uuml;berwachung von SLI/SLO-Kennzahlen sowie Analyse und Behebung von Produktionsst&ouml;rungen im 24x7-Betrieb inklusive Teilnahme an einer Rufbereitschaft</li><li>
Zusammenarbeit mit globalen SRE- und GCP-Expertenteams zur schnellen Incident-Analyse, Fehlerbehebung und nachhaltigen Service-Optimierung</li><li>
Dokumentation von Betriebswissen, Standardisierung von Prozessen sowie Weiterentwicklung von Automatisierungs- und Operational-Playbooks</li><li>
Durchf&uuml;hrung von Post-Mortem-Analysen nach Incidents zur Identifikation von Verbesserungspotenzialen und F&ouml;rderung einer kontinuierlichen Optimierung der Systemlandschaft</li></ul>
Darauf freuen wir uns:<ul><li>
Erfolgreich abgeschlossenes Studium der Informatik, Ingenieurwissenschaften oder ein vergleichbarer Masterabschluss</li><li>
Mehrj&auml;hrige Erfahrung im Bereich DevOps / Site Reliability Engineering (SRE) sowie in der Automatisierung von Betriebs- und Incident-Management-Prozessen</li><li>
Kenntnisse in regulierten Branchen mit hohen Compliance-Anforderungen, z.B. Banking, Versicherungen, Healthcare oder vergleichbaren Umfeldern mit hohen Compliance-Anforderungen</li><li>
Erfahrung in internationalen Arbeitsumgebungen sowie sehr gute Deutsch- und Englischkenntnisse in Wort und Schrift</li><li>
Erfahrungen mit Google Cloud Platform (GCP) sowie eine hohe Lernbereitschaft und Begeisterung f&uuml;r moderne Cloud-Technologien</li></ul>
Thales investiert j&auml;hrlich mehr als 4,5 Milliarden Euro in Forschung und Entwicklung in Schl&uuml;sseltechnologien wie k&uuml;nstliche Intelligenz, Cybersicherheit, Quanten- und Cloud-Technologien.
Im Jahr 2025 erwirtschaftete die Gruppe einen Umsatz von 22,1 Milliarden Euro.
F&uuml;r mehr als 85.000 Mitarbeitende in 65 L&auml;ndern er&ouml;ffnen wir zukunftsweisende Perspektiven, verwirklichen individuelle Karrierewege und erm&ouml;glichen kreative Freir&auml;ume. Dies gelingt durch Mut, Vielfalt und den festen Willen, die anspruchsvollen Herausforderungen unserer Zeit sicherer und inklusiver zu gestalten. Mit unserer nachhaltigen, werteorientierten Personalf&uuml;hrung treten wir aktiv f&uuml;r Diversit&auml;t ein.
Say HI* &ndash; Ihr Weg zu uns
Wenn die Zeichen der Zeit auf Ver&auml;nderung stehen, sind unsere internationalen Teams da, um der Komplexit&auml;t von heute mit den branchenf&uuml;hrenden Technologien von morgen zu begegnen. Sind Sie dabei? Ihr Ansprechpartner Andre Fuhrmann freut sich schon auf Ihre Online-Bewerbung.
Andre Fuhrmann &ndash; Talent Acquisition Partner
+49 7156 / 302 - 22002<ul><li>Human Intelligence</li></ul>
#LI-AF1
#LI-HYBRID</div>

DevOps Engineer

Cardmarket.com

<div>
 
 Our Vision
 
 
 
 At Cardmarket, people come first.
 
 
 Our goal is to create a workplace where everyone feels safe, appreciated, and inspired. A place where you enjoy coming to work and feel good about heading home at the end of the day.
 
 
 Open communication is at the heart of our culture. Only by talking openly about challenges, big or small, can we find solutions together. Cardmarket connects people across continents, regardless of skin colour, origin, religion, nationality, gender, or sexual orientation. We treat everyone equally and expect the same from all applicants. Our strength lies in our diverse perspectives and the shared commitment to move forward together as an inclusive team.
 
 
 To strengthen our Technology Department, we&rsquo;re looking for a DevOps Engineer to help scale, secure, and automate the infrastructure that powers Cardmarket. You&rsquo;ll be part of the team ensuring that website is running seamlessly, every single day. You&rsquo;ll work closely with our engineers to deploy services faster, safer, and smarter. This role is for someone who&rsquo;s obsessed with reliability, loves automation, and gets a kick out of making systems run smoother everyday.
 
 
 
 Your Responsibilities
 
 
 
 <ul>
 <li>
 Building and maintaining cloud infrastructure on AWS
 </li>
 <li>
 Maintaining systems health and availability
 </li>
 <li>
 Understanding and resolving technical issues as they arise
 </li>
 <li>
 Automating repetitive tasks
 </li>
 <li>
 Monitoring of cloud infrastructure environments
 </li>
 <li>
 Managing database workload
 </li>
 <li>
 User management in the Azure AD
 </li>
 <li>
 VMware server management
 </li>
 <li>
 Good technical IT Administration skills
 
 
 </li>
 </ul>
 
 Your profile
 
 
 
 <ul>
 <li>
 Strong knowledge of Linux systems
 </li>
 <li>
 Good to have experience in deploying, configuring, and managing VMware vCenter Server
 </li>
 <li>
 Good knowledge of shell scripting
 </li>
 <li>
 Good understanding of networking (DNS, Routing, Subnetting)
 </li>
 <li>
 4+ years experience in Amazon Web Services
 </li>
 <li>
 2+ years of experience running Kubernetes in production using helm chart
 </li>
 <li>
 Infrastructure as a code (Terraform)
 </li>
 <li>
 Strong knowledge of CI/CD (Gitlab ci pipeline)
 </li>
 <li>
 Experience with system administration and infrastructure maintenance
 </li>
 <li>
 Designing / Enhancing and Maintaining logging architecture
 </li>
 <li>
 Good knowledge of Monitoring / Alerting with Prometheus or similar tools and having Newrelic experience will be an advantage
 </li>
 <li>
 Experience with automation and/or configuration management tools like Puppet
 </li>
 <li>
 Good experience with MySQL, Redis or MongoDB
 </li>
 <li>
 Experience in Azure Active Directory (Azure AD)
 </li>
 <li>
 Experience with Cloudflare WAF
 </li>
 <li>
 Good to have: Bash/Python/Golang Skills
 </li>
 <li>
 Valid work permit is necessary
 </li>
 <li>
 Presence in Berlin is required!
 
 
 </li>
 </ul>
 
 Why us?
 
 
 
 Imagine a workplace where passion, trust, and personal responsibility are part of everyday working life.
 
 
 A place where people enjoy coming together, sharing ideas, laughing together, while at the same time working with a high level of professionalism.That&rsquo;s exactly what you&rsquo;ll find at Cardmarket.
 
 
 <ul>
 <li>
 Your everyday work You will work in a full-time position (40 hours per week) at our office in Berlin, a place where creative energy, exchange, and focus come together. At the same time, we offer a hybrid working model and provide you with all the equipment you need for your work. Thanks to flexible working hours with clearly defined core hours, you can structure your day in a way that allows work and private life to harmonize well.
 </li>
 <li>
 Community &amp; Culture We meet each other as equals. An informal, first-name culture is a given, from interns to management. We believe that great results are achieved where people feel seen, heard, and valued. Our shared passion for trading card games connects us, at work and beyond. It symbolizes what defines us: curiosity, strategy, teamwork, and the drive to continuously challenge ourselves.
 </li>
 <li>
 Vacation &amp; further benefits Five weeks of paid vacation as well as a Germany-wide public transport ticket (Deutschlandticket) that supports you flexibly in your everyday life. A lunch allowance (up to &euro;7.67 per working day) as well as free drinks and snacks are also part of our benefits.
 </li>
 <li>
 Your development matters Standing still is not an option for us, at least not in a positive sense. With a personal annual learning budget of &euro;1,500, we deliberately invest in your development: conferences, courses, books, or new skills. You decide what helps you move forward.
 </li>
 <li>
 Mental &amp; physical health We know: Great performance can only happen when people are doing well. That&rsquo;s why we support you with an Urban Sports Club membership for your physical balance, our collaboration with DearEmployee, which offers anonymous, professional psychological support, and the Women of Cardmarket &amp; LGBTQIA+ Group, which promotes exchange, visibility, and empowerment.
 
 
 </li>
 </ul>
 
 In short
 
 
 
 With us, you won&rsquo;t find anonymous open-plan offices or rigid structures, but a work environment with heart, values, and genuine appreciation, a place where you&rsquo;re not only allowed to be yourself, but expected to be, take responsibility, and continue developing, professionally and especially personally.
</div>

Devops Engineer (all genders)

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
EC2 Core Compute is looking for an experienced Kernel &amp; Hypervisor Engineer for one of our virtualization organizations. As part of the team, you will be given the chance to have a significant impact on our systems, our business and most importantly our customers, working in diverse work environment with a flexible schedule.
 
 
You will be building the lowest layer of the Amazon Web Services software stack, developing the EC2 Nitro Hypervisor for AWS, operating the hardware and off-host software components and engineering new EC2 Nitro instance families. You will have the opportunity to innovate, make new engineering proposals, and explore new areas. 
 
For more information please feel free to visit https://aws.amazon.com/ec2/nitro/ 
 
Utility Computing (UC)
 
 
AWS Utility Computing (UC) provides product innovations &mdash; from foundational services such as Amazon&rsquo;s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS&rsquo;s services and features apart in the industry. As a member of the UC organization, you&rsquo;ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. 
 
Key job responsibilities 
<ul><li>Take end to end ownership of the software development life cycle: You will build new solutions across the virtualization software stack; developing virtualization components and automating infrastructure flows. This includes design, testing and deployment.</li></ul> 
<ul><li>Drive operational excellence, improving the quality of the hypervisor and our instance platforms.</li></ul> 
<ul><li>Influence and contribute to the technological roadmap of your team.</li></ul> 
<ul><li>Work with other EC2 teams like hardware, software and firmware groups across the globe, driving innovative solutions.</li></ul> 
<ul><li>Openness to leveraging AI tools and technologies to enhance productivity and technical problem-solving.</li></ul> 
A day in the life 
You will: 
 
<ul><li>Work with your manager and other engineers in delivering to the roadmap.</li><li>Focus on high quality delivery and operational excellence.</li><li>Solve technical challenges impacting our customers.</li></ul> 
About the team 
EC2 Core Compute has a two-fold mission: 
 
<ul><li>Leave no customer workload on-premises by engineering new EC2 instance families with latest generation of CPUs</li><li>Build the most secure, performant and feature-rich virtualization technology in the cloud.</li></ul> 
About AWS 
Diverse Experiences 
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 
Why AWS? 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
Inclusive Team Culture 
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 
Mentorship &amp; Career Growth 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
 
Work/Life Balance 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve. 
 
</div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>Professional experience working on the Linux Kernel</li><li>Professional experience in C programming</li><li>Proficient in at least one CPU architecture such as x86 or ARM</li><li>Understanding of operating system internals</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Extensive professional experience working on the Linux Kernel</li><li>Extensive professional experience in C programming</li><li>Professional experience working on a hypervisor, such as kvm, xen or hyper-v</li><li>Solid understanding of performance-critical areas of the Linux Kernel</li></ul> 
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates. 
 
m/w/d 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Kernel/Hypervisor Engineer, EC2 Core Compute

Zeta Global

<div>WHO WE ARE

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform &ndash; powered by one of the industry&rsquo;s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com. 


The Role

We&rsquo;re looking for a skilled ML Engineer / Data Scientist with 3+ years of software or applied ML experience to design, build, and improve machine learning solutions in a dynamic cloud environment, primarily on AWS.This role sits at the intersection of data science and engineering: exploring data, developing models, running rigorous experiments, and bringing the best approaches into production with a reliable, reproducible workflow. If strong Python skills, curiosity about hard modeling problems, and collaborative work in multicultural teams are a fit, this is a chance to do meaningful, end-to-end ML work&mdash;not just notebooks, and not just infrastructure. 

<div>
Who you are:
<ul>
<li>Strong foundation in machine learning, statistics and experiment design.</li>
<li>Experience building models for real business or product problems, not only academic benchmarks.</li>
<li>Comfortable working with structured and unstructured data: feature engineering, dataset construction, labeling quality, leakage checks, and train/validation/test discipline.</li>
<li>Able to compare approaches with clear metrics, error analysis, and sound judgment about tradeoffs (accuracy, latency, cost, maintainability).</li>
<li>Interest in modern ML, including classical ML, deep learning, and LLM / GenAI workflows where relevant (fine-tuning, RAG, evaluation, prompt/versioning).</li>
<li>Proficient in Python and able to write clean, modular, testable code.</li>
<li>Experience developing and deploying ML solutions in a cloud environment, especially AWS.</li>
<li>Comfortable moving from prototype to production: packaging models, building inference paths, monitoring performance, and iterating after launch.</li>
<li>Independent engineer who can own work from problem framing experimentation implementation rollout.</li>
<li>Excellent written and spoken English.</li>
<li>Enjoy working closely with engineers, product partners, and other data scientists.</li>
<li>Clear communicator who can explain methods, results, and limitations to technical and non-technical audiences.</li>
<li>Master&rsquo;s degree in Science or Engineering (Computer Science, Mathematics, Physics, Statistics, or similar), or equivalent practical experience.</li>
</ul>
Nice to have:
<ul>
<li>Experience with scikit-learn, PyTorch, TensorFlow, XGBoost, or similar modeling stacks.</li>
<li>Familiarity with ML experiment tracking and reproducibility (e.g. MLflow, W&amp;B).</li>
<li>Experience with SQL, data warehouses/lakes, and pipeline tools such as Airflow, dbt, or Spark.</li>
<li>Exposure to feature stores, embedding pipelines, or vector search for retrieval-based systems.</li>
<li>Experience building HTTP/gRPC APIs or lightweight services around model inference.</li>
<li>Working knowledge of Docker, basic orchestration, and CI/CD (e.g. GitLab CI).</li>
<li>Experience in agile, remote and async team environments.</li>
<li>Publications, patents, Kaggle/competition results, or open-source ML contributions.</li>
</ul>
What you might like about this role:
<ul>
<li>Hands-on modeling work with room to explore, benchmark, and improve real systems.</li>
<li>Collaboration on ML patent submissions and participation in weekly ML / research paper review meetings.</li>
<li>A multicultural, engineering-focused team with strong peer support.</li>
<li>High trust and autonomy&mdash;clear goals, freedom in how to reach them.</li>
<li>Internal product impact: meaningful projects that improve developer and user experience, not endless maintenance tickets.</li>
<li>Short approval cycles and solid product partnership.</li>
<li>A healthy meeting policy and emphasis on protecting focus time.</li>
<li>Flexible hours, remote/home office options, and a calm, engineers-only office when on-site.</li>
<li>Competitive compensation, including stock options.</li></ul> 
<div>
</div><div></div><div><div>We&rsquo;re hiring across multiple levels. Title, scope, and compensation depend on experience&mdash;from strong applied ML generalists to senior people who can lead modeling direction and mentor others.

We&rsquo;re especially interested in candidates who are technically strong, intellectually curious, and motivated by difficult, ambiguous problems where good data science and solid engineering both matter. 


PEOPLE &amp; CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual&rsquo;s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.
We&rsquo;re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 


#LI-NP1</div></div></div></div>

ML Ops Engineer

<div>
 
 &nbsp;
 
 
 
 WHO WE ARE&nbsp;
 
 
 
 Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform &ndash; powered by one of the industry&rsquo;s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.
 
 
 &nbsp;
 
 
 
 The Role
 
 
 
 We&rsquo;re looking for a skilled&nbsp;
 
 ML Engineer / Data Scientist
 
 &nbsp;with&nbsp;
 
 3+ years of software or applied ML experience
 
 &nbsp;to design, build, and improve machine learning solutions in a dynamic cloud environment, primarily on&nbsp;
 
 AWS
 
 .This role sits at the intersection of&nbsp;
 
 data science and engineering
 
 : exploring data, developing models, running rigorous experiments, and bringing the best approaches into production with a reliable, reproducible workflow. If strong Python skills, curiosity about hard modeling problems, and collaborative work in multicultural teams are a fit, this is a chance to do meaningful, end-to-end ML work&mdash;not just notebooks, and not just infrastructure.
 
 
 &nbsp;
 
 
 
 Who you are:
 
 
 <ul>
 <li>
 Strong foundation in&nbsp;
 
 machine learning,&nbsp;statistics
 
 and&nbsp;
 
 experiment design
 
 .
 </li>
 <li>
 Experience building models for&nbsp;
 
 real business or product problems
 
 , not only academic benchmarks.
 </li>
 <li>
 Comfortable working with&nbsp;
 
 structured and unstructured data
 
 : feature engineering, dataset construction, labeling quality, leakage checks, and train/validation/test discipline.
 </li>
 <li>
 Able to compare approaches with clear&nbsp;
 
 metrics
 
 , error analysis, and sound judgment about tradeoffs (accuracy, latency, cost, maintainability).
 </li>
 <li>
 Interest in&nbsp;
 
 modern ML
 
 , including classical ML, deep learning, and&nbsp;
 
 LLM / GenAI workflows
 
 &nbsp;where relevant (fine-tuning, RAG, evaluation, prompt/versioning).
 </li>
 <li>
 Proficient in&nbsp;
 
 Python
 
 &nbsp;and able to write&nbsp;
 
 clean, modular, testable&nbsp;code
 
 .
 </li>
 <li>
 Experience developing and deploying ML solutions in a&nbsp;
 
 cloud environment
 
 , especially&nbsp;AWS.
 </li>
 <li>
 Comfortable moving from prototype to production: packaging models, building inference paths, monitoring performance, and iterating after launch.
 </li>
 <li>
 Independent engineer who can own work from&nbsp;
 
 problem framing &rarr; experimentation &rarr; implementation &rarr; rollout
 
 .
 </li>
 <li>
 Excellent&nbsp;
 
 written and spoken English
 
 .
 </li>
 <li>
 Enjoy working closely with engineers, product partners, and other data scientists.
 </li>
 <li>
 Clear communicator who can explain methods, results, and limitations to technical and non-technical audiences.
 </li>
 <li>
 
 Master&rsquo;s degree
 
 &nbsp;in Science or Engineering (Computer Science, Mathematics, Physics, Statistics, or similar),&nbsp;
 
 or equivalent practical experience
 
 .
 </li>
 </ul>
 
 
 Nice to have:
 
 
 <ul>
 <li>
 Experience with&nbsp;
 
 scikit-learn,&nbsp;PyTorch,&nbsp;TensorFlow,&nbsp;XGBoost
 
 , or similar modeling stacks.
 </li>
 <li>
 Familiarity with&nbsp;
 
 ML experiment tracking
 
 &nbsp;and reproducibility (e.g. MLflow, W&amp;B).
 </li>
 <li>
 Experience with&nbsp;
 
 SQL
 
 , data warehouses/lakes, and pipeline tools such as&nbsp;
 
 Airflow,&nbsp;dbt, or&nbsp;Spark
 
 .
 </li>
 <li>
 Exposure to&nbsp;
 
 feature stores
 
 , embedding pipelines, or&nbsp;
 
 vector search
 
 &nbsp;for retrieval-based systems.
 </li>
 <li>
 Experience building&nbsp;
 
 HTTP/gRPC APIs
 
 &nbsp;or lightweight services around model inference.
 </li>
 <li>
 Working knowledge of&nbsp;
 
 Docker
 
 , basic orchestration, and CI/CD (e.g.&nbsp;
 
 GitLab CI
 
 ).
 </li>
 <li>
 Experience in&nbsp;
 
 agile
 
 ,&nbsp;
 
 remote
 
 and&nbsp;
 
 async
 
 &nbsp;team environments.
 </li>
 <li>
 Publications, patents, Kaggle/competition results, or open-source ML contributions.
 </li>
 </ul>
 
 
 What you might like about this role:
 
 
 <ul>
 <li>
 
 Hands-on modeling work
 
 &nbsp;with room to explore, benchmark, and improve real systems.
 </li>
 <li>
 Collaboration on&nbsp;
 
 ML patent submissions
 
 &nbsp;and participation in&nbsp;weekly ML / research paper review&nbsp;meetings.
 </li>
 <li>
 A&nbsp;
 
 multicultural, engineering-focused team
 
 &nbsp;with strong peer support.
 </li>
 <li>
 
 High trust and autonomy
 
 &mdash;clear goals, freedom in how to reach them.
 </li>
 <li>
 
 Internal product impact
 
 : meaningful projects that improve developer and user experience, not endless maintenance tickets.
 </li>
 <li>
 
 Short approval cycles
 
 &nbsp;and solid product partnership.
 </li>
 <li>
 A&nbsp;
 
 healthy meeting policy&nbsp;
 
 and emphasis on protecting focus time.
 </li>
 <li>
 
 Flexible hours
 
 , remote/home office options, and a calm, engineers-only office when on-site.
 </li>
 <li>
 
 Competitive compensation
 
 , including&nbsp;stock options.
 </li>
 </ul>
 &nbsp;
 
 We&rsquo;re hiring across
 
 multiple levels
 
 . Title, scope, and compensation depend on experience&mdash;from strong applied ML generalists to senior people who can lead modeling direction and mentor others.
 
 
 We&rsquo;re especially interested in candidates who are&nbsp;
 
 technically strong, intellectually curious, and motivated by difficult, ambiguous problems
 
 &nbsp;where good data science and solid engineering both matter.
 
 
 &nbsp;
 
 
 &nbsp;
 
 
 
 PEOPLE &amp; CULTURE AT ZETA
 
 
 
 Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual&rsquo;s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.&nbsp;&nbsp;
 
 
 We&rsquo;re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:&nbsp; https://zetaglobal.com/blog/a-look-into-zetas-ergs/&nbsp;
 
 
 
 ZETA IN THE NEWS!
 
 
 
 https://zetaglobal.com/press/?cat=press-releases&nbsp;
 
 
 &nbsp;
 
 
 
 
 
</div>

DATATRONiQ

<div>
 
 
 DATATRONiQ
 
 ist ein Deep-Tech-Startup aus Deutschland f&uuml;r Industrial IoT und Edge AI. Als Cloud &amp; DevOps Engineer verantwortest Du unsere Kubernetes-Landschaft &ndash; vom Edge-Cluster beim Kunden bis zur Cloud. Du sorgst daf&uuml;r, dass unsere Go-Services, Dashboards und ML-Pipelines zuverl&auml;ssig laufen. Dein K&ouml;nnen entscheidet, wie verl&auml;sslich wir deployen und wie reibungslos unsere Plattform l&auml;uft. Wenn Du verstehst, was gute Infrastruktur ausmacht, und sie auch gestalten willst, dann melde Dich gerne bei uns.
 
 
 
 
 
 
 &Uuml;ber die Stelle
 
 
 
 
 
 
 Unsere Plattform l&auml;uft auf mehreren Kubernetes-Clustern: on-prem beim Kunden, in der Cloud und auf Edge-Gateways direkt in der Produktion. Ein Teil davon in Umgebungen, die keine Ausf&auml;lle erlauben &ndash; Werkshallen, in denen rund um die Uhr produziert wird. Dein Job ist, dass diese Systeme zuverl&auml;ssig laufen und das Team schneller deployt, ohne dass etwas schief l&auml;uft.
 
 
 
 
 
 
 Dein Stack:
 
 Kubernetes, Linux, Helm, g&auml;ngige Cloud-Plattformen, CI/CD und GitOps &uuml;ber GitLab. Observability l&auml;uft &uuml;ber Prometheus und Grafana. Security und Network-Design sind Teil des Jobs &ndash; wir bauen in Umgebungen, in denen Cyber-Security nicht nur ein H&auml;kchen in der Checkliste ist.
 
 
 
 
 
 Wir arbeiten in einem kleinen, eng abgestimmten Team. Code Reviews und Pair Programming geh&ouml;ren fest zum Alltag. Freitags zeigen wir uns interessante Funde im Web und neue Tools in unseren Show-and-Tell-Sessions. Als Cloud &amp; DevOps Engineer bist Du nicht Teil eines reinen Ops-Teams, sondern arbeitest t&auml;glich mit den Backend-, Frontend- und Data-Science-Teams zusammen und stellst die Verf&uuml;gbarkeit der Plattform sicher.
 
 
 
 
 
 
 Was sind Deine Aufgaben?
 
 
 
 
 
 <ul>
 <li>
 Du betreibst und skalierst unsere Kubernetes-Cluster &ndash; on-prem, in der Cloud und am Edge &ndash; mit Blick auf Verf&uuml;gbarkeit, Effizienz und Performance.
 </li>
 <li>
 Du baust und pflegst unsere CI/CD-Pipelines mit GitOps: Linting, Tests, Builds, Rollouts in Staging- und Produktionsumgebungen.
 </li>
 <li>
 Du sicherst unsere Infrastruktur ab &ndash; Netz-Segmentierung, Zugriffskontrolle, Secrets-Management &ndash; und machst Sicherheit zum Standard.
 </li>
 <li>
 Du entwickelst und wartest Kubernetes-Operatoren und Helm-Charts zusammen mit dem Backend-Team.
 </li>
 <li>
 Du automatisierst, wo der Schuh dr&uuml;ckt: manuelle Schritte, sich wiederholende Alerts, Config-Drift zwischen Umgebungen.
 </li>
 <li>
 Du begleitest die Backend-, Frontend- und Data-Science-Teams beim Deployment und beim Debugging in Kubernetes.
 </li>
 </ul>
 
 
 
 
 
 Was solltest Du mitbringen?
 
 
 
 
 
 <ul>
 <li>
 Mindestens drei Jahre praktische Kubernetes-Erfahrung, ideal mit gemischten On-Prem- und Cloud-Umgebungen.
 </li>
 <li>
 Sicher im Umgang mit Linux, Shell-Skripting und Infrastructure-as-Code (Ansible, GitOps, Helm oder vergleichbar).
 </li>
 <li>
 Praxis mit CI/CD-Pipelines &ndash; Du erkennst, warum ein Schritt flaky ist, und behebst die Ursache, nicht das Symptom.
 </li>
 <li>
 Gesp&uuml;r f&uuml;r Sicherheit: Networking, TLS, RBAC, Secrets, Hardening &ndash; ohne Compliance-Theater.
 </li>
 <li>
 Sehr gute Englischkenntnisse in Wort und Schrift.
 </li>
 <li>
 Bonus: Erfahrung mit Edge-Deployments, industriellen Netzen (OT/IT-Segregation) oder Airgap-Installationen.
 </li>
 <li>
 Bonus: Go-Grundlagen &ndash; Du beh&auml;ltst Deployments im Auge und sagst dem Backend-Team, wo es einfacher geht.
 </li>
 </ul>
 
 
 
 
 
 Was erwartet Dich?
 
 
 
 
 
 <ul>
 <li>
 Echte End-to-End-Verantwortung f&uuml;r unsere Infrastruktur &ndash; vom ersten Design bis zum Rollout in der Produktion.
 </li>
 <li>
 Das Team entscheidet &uuml;ber Architektur, Tooling und Testabdeckung selbst.
 </li>
 <li>
 Agentische Werkzeuge im Alltag: Codex, Claude Code und neue Entwicklungspraktiken &ndash; wir probieren fr&uuml;h aus und nutzen, was funktioniert.
 </li>
 <li>
 &Uuml;berwiegend vor Ort in
 
 Stuttgart, Ulm oder Berlin
 
 &ndash; Industrial-IoT-Projekte f&uuml;r Kunden weltweit, vom mittelst&auml;ndischen Fertiger bis zum DAX-Konzern.
 </li>
 </ul>
 
 
 
 
 
 Haben wir Dein Interesse geweckt?
 
 
 
 
 
 
 Bei DATATRONiQ bist Du kein kleines R&auml;dchen im Getriebe, Du gestaltest mit und bringst Deine Ideen ein. Du wirst die einzigartige M&ouml;glichkeit haben, an einem Produkt zu arbeiten, das das Potenzial hat, einen signifikaten Einfluss im industriellen Fertigungssektor zu haben. Wenn Du Deine F&auml;higkeiten einsetzen m&ouml;chtest, um anspruchsvolle Probleme zu l&ouml;sen und Du Dich aktiv bei uns einbringen willst, dann w&uuml;rden wir sehr gerne mit Dir sprechen!
 
 
 
 
 
 Nimm unter
 
 work@datatroniq.com
 
 Kontakt zu uns auf. Wir freuen uns auf Deine Bewerbung!
 
 
 
 
 
 
 Wir bitten Personalvermittlungsagenturen und Headhunter, von einer Kontaktaufnahme abzusehen.
 
 
</div>

Cloud & DevOps Engineer – Kubernetes, Edge & Cloud (Berlin)

SWARCO ITS

<div>
 Join our SWARCO Team as
 
 
 
 Senior DevOps Engineer (m/f/d)
 
 
 
 
 Your Challenge
 
 
 
 <ul>
 <li>
 Support the development and project teams in creating a cloud-based platform to unify SWARCO&rsquo;s extensive software solution portfolio
 </li>
 <li>
 Manage and maintain a growing infrastructure of over 50+ Linux servers and Kubernetes clusters across a multi-cloud environment, including AWS, hosting 200+ microservices
 </li>
 <li>
 Work daily with cloud-native technologies such as Kafka, RabbitMQ, PostgreSQL, and MongoDB
 </li>
 <li>
 Assist an agile engineering team of 100+ developers that are building software in various languages, including C#, Java, Node.js, and Python
 </li>
 <li>
 Support a SaaS infrastructure solution that connects over 10,000 traffic devices
 </li>
 <li>
 Build and maintain critical infrastructure utilized daily by tens of millions of users
 </li>
 <li>
 Develop innovative solutions to accelerate on-premise releases
 
 
 </li>
 </ul>
 
 Your Profile
 
 
 
 <ul>
 <li>
 Experience in building and maintaining infrastructure for large IoT and network-edge devices
 </li>
 <li>
 Hands-on experience with federated and distributed monitoring systems and CI/CD tools such as ArgoCD
 </li>
 <li>
 Proficiency in working with technologies like Kubernetes, Docker, Ansible, Terraform, Linux, MongoDB, PostgreSQL, RabbitMQ, and Redis
 </li>
 <li>
 Solid programming skills, including shell scripting and Python
 </li>
 <li>
 Solution-oriented, with a passion for driving projects and topics as a domain expert
 
 
 </li>
 </ul>
 
 Your Benefit
 
 
 
 <ul>
 <li>
 Join a team dedicated to delivering cutting-edge road traffic and urban mobility solutions, improving safety for millions globally
 </li>
 <li>
 Work for an established market leader founded in 1969, with over 5,500 employees and a presence in more than 80 countries
 </li>
 <li>
 Flexible working hours and a hybrid work setup, allowing you to work from home 50% of the time
 </li>
 <li>
 Opportunities for promotion across various areas within our larger organization
 </li>
 <li>
 Job rotation programs available that allow you to work from a different international SWARCO office location for several months
 </li>
 <li>
 A modern office space just a 5-minute walk from the Landsberger Allee S-Bahn station
 </li>
 <li>
 A modern office space just a 10-minute walk from the Main Railway Station in Zagreb (Croation office)
 
 
 </li>
 </ul>
 The future begins today. Yours too?
 
 
 Join SWARCO. We look forward to receiving your detailed application via online form:
 
 
 
 SWARCO CROATIA d.o.o.
 
 
 
 HR department
 
 
 Sprecka 8
 
 
 10000 - Zagreb
 
 
 #ITS
 
 
 
 Information on processing of your personal data is available
 
 https://www.swarco.com/privacy-information-applicants
 
 .
 
</div>

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