senior applied ai / ml data engineer (f/m/x)

(junior) cloud site reliability engineer (network) (m/f/x)

(senior) cloud site reliability engineer (scalability) (m/f/x)

director, it engineering - end user support

ai software engineer (f/m/d) Jobs in Munich

ai software engineer (f/m/d)

analytics engineer (m/w/d) Jobs in Munich

analytics engineer (m/w/d)

senior applied ai / ml data engineer (f/m/x) Jobs in Munich

(junior) cloud site reliability engineer (network) (m/f/x) Jobs in Munich

(senior) cloud site reliability engineer (scalability) (m/f/x) Jobs in Munich

ai platform and cloud engineer m w d

Michael Page

<div>
 <ul>
 <li>
 Umfangreiche Fort- und Weiterbildungsm&ouml;glichkeiten in der IT-Branche
 </li>
 <li>
 Strategische Weiterentwicklung einer globalen IT-Architektur
 
 
 </li>
 </ul>
 
 Firmenprofil
 
 
 
 Unser Kunde ist ein mittelst&auml;ndisches Unternehmen aus der Technologie- und Telekommunikationsbranche mit Sitz in M&uuml;nchen. Das Unternehmen ist bekannt f&uuml;r seine Expertise in der Entwicklung von IT-L&ouml;sungen und bietet eine professionelle Arbeitsumgebung mit Fokus auf technologischen Fortschritt.
 
 
 
 Aufgabengebiet
 
 
 
 <ul>
 <li>
 Entwicklung und Implementierung von Cloud-basierten Plattformen zur Unterst&uuml;tzung von KI-Anwendungen.
 </li>
 <li>
 Integration und Optimierung von Machine-Learning-Algorithmen in bestehende IT-Systeme.
 </li>
 <li>
 Sicherstellung einer skalierbaren und sicheren Cloud-Infrastruktur.
 </li>
 <li>
 Kollaboration mit interdisziplin&auml;ren Teams zur Entwicklung innovativer Technologien.
 </li>
 <li>
 Analyse und Optimierung von Systemleistungen.
 </li>
 <li>
 Implementierung von Best Practices f&uuml;r Cloud-Sicherheitsl&ouml;sungen.
 </li>
 <li>
 Dokumentation und Pr&auml;sentation technischer L&ouml;sungen an interne und externe Stakeholder.
 </li>
 <li>
 Unterst&uuml;tzung bei der Fehlerbehebung und dem technischen Support f&uuml;r die entwickelten Systeme.
 
 
 </li>
 </ul>
 
 Anforderungsprofil
 
 
 
 <ul>
 <li>
 Abgeschlossenes Studium in Informatik oder einschl&auml;gige Berufserfahrung.
 </li>
 <li>
 Erfahrung in der Entwicklung und Verwaltung von Cloud-Infrastrukturen.
 </li>
 <li>
 Kenntnisse in Programmiersprachen wie Python, Golang oder &auml;hnlichen Technologien.
 </li>
 <li>
 Verst&auml;ndnis von KI- und Machine-Learning-Technologien.
 </li>
 <li>
 Erfahrung mit Tools wie Docker, Kubernetes oder vergleichbaren Plattformen.
 </li>
 <li>
 Starke Probleml&ouml;sungsf&auml;higkeiten und analytisches Denken.
 </li>
 <li>
 F&auml;higkeit, in einem technologiegetriebenen Umfeld effektiv zu arbeiten.
 
 
 </li>
 </ul>
 
 Verg&uuml;tungspaket
 
 
 
 <ul>
 <li>
 Attraktives Gehaltspaket bis zu 90.000 EUR Brutto/Jahr.
 </li>
 <li>
 Eine tempor&auml;re Anstellung mit spannenden Projekten in der Technologie- und Telekommunikationsbranche.
 </li>
 <li>
 Moderne Arbeitsumgebung in M&uuml;nchen.
 </li>
 <li>
 Vielf&auml;ltige M&ouml;glichkeiten zur Weiterbildung und pers&ouml;nlichen Entwicklung.
 </li>
 <li>
 Zusammenarbeit in einem professionellen und technologisch fortschrittlichen Team.
 
 
 </li>
 </ul>
 Bewerben Sie sich noch heute und werden Sie Teil eines zukunftsorientierten Unternehmens in M&uuml;nchen, das innovative L&ouml;sungen in der Technologiebranche vorantreibt!
 
 
 
 Quote job ref: JN-062026-7046344
 
 
 
</div>

AI Platform and Cloud Engineer (m/w/d)

PwC Deutschland

<div>
 F&uuml;r unseren Gesch&auml;ftsbereich
 
 Tax &amp; Legal Solutions
 
 suchen wir dich
 
 zum n&auml;chstm&ouml;glichen Zeitpunkt
 
 als
 
 AI Engineer - Transfer Pricing (w/m/d)
 
 .
 
 
 
 Das erwartet dich
 
 
 
 
 Digitalisierung
 
 &ndash; Du entwickelst innovative, digitale L&ouml;sungen und treibst die Umsetzung unserer Digitalisierungsstrategie voran.
 
 
 
 KI-Systeme
 
 &ndash; Du entwirfst und implementierst wissensbasierte und KI-gest&uuml;tzte Anwendungen, die Expertenwissen skalierbar machen und komplexe Prozesse intelligent automatisieren.
 
 
 
 Transfer Pricing
 
 &ndash; Du arbeitest an komplexen Fragestellungen wie globalen Wertsch&ouml;pfungskettenanalysen, der Segmentierung heterogener Finanzdaten und der Auswertung internationaler Regelwerke im internationalen Steuerkontext.
 
 
 
 Projektarbeit
 
 &ndash; Du arbeitest gemeinsam mit interdisziplin&auml;ren Teams aus Anw&auml;lt:innen, &Ouml;konom:innen und Steuerberater:innen an Digitalisierungsprojekten und bringst KI-L&ouml;sungen in den produktiven Einsatz.
 
 
 
 Das bringst du mit
 
 
 
 <ul>
 <li>
 Du hast dein Studium in (Wirtschafts-)Informatik, Software Engineering, K&uuml;nstlicher Intelligenz oder einer vergleichbaren Fachrichtung mit Schwerpunkt auf Systementwicklung oder KI abgeschlossen.
 </li>
 <li>
 Du hast Erfahrung im Umgang mit LLMs, Prompt Engineering, RAG-Architekturen, Knowledge Graphs und moderner Full-Stack-Entwicklung.
 </li>
 <li>
 Du bist interessiert an &ouml;konomischen und internationalen Sachverhalten und arbeitest gerne im Beratungsumfeld.
 </li>
 <li>
 Du besitzt die F&auml;higkeit zur klaren und verst&auml;ndlichen Kommunikation mit Fachexpert:innen aus dem Transfer Pricing Bereich ohne IT-Hintergrund.
 </li>
 <li>
 Sehr gute Deutsch- und Englischkenntnisse in Wort und Schrift runden dein Profil ab.
 
 
 </li>
 </ul>
 
 Deine Benefits
 
 
 
 
 Flexibilit&auml;t
 
 &ndash; In Abstimmung mit deinem Team erwartet dich ein Mix aus gemeinsamen B&uuml;rotagen und Home Office. Dabei gibt es keine Kernarbeitszeiten &ndash; im Rahmen der betrieblichen Anforderungen und arbeitsrechtlichen Vorgaben kannst du deine Arbeitszeit flexibel gestalten. Zus&auml;tzlich hast du die M&ouml;glichkeit, tempor&auml;r in &uuml;ber 40 L&auml;ndern zu arbeiten.
 
 
 
 Berufsexamen
 
 &ndash; Durch unsere interne Academy, internationale Erfahrungen durch Secondments und kontinuierliches Mentoring entwickelst du dich stetig weiter. Zus&auml;tzlich unterst&uuml;tzen wir dich bei dem Erlangen der Berufsexamina: Wirtschaftspr&uuml;fer:in, Voll-WP, Steuerberater:in und Aktuar:in.
 
 
 
 Freizeit
 
 &ndash; &Uuml;berstunden kannst du auf deinem Jahresarbeitszeitenkonto (JAZ) sammeln und nach arbeitsintensiven Phasen durch Freizeit ausgleichen. Restliche &Uuml;berstunden werden einmal j&auml;hrlich ausgezahlt. Zus&auml;tzlich stehen dir 30 Urlaubstage im Kalenderjahr zur Verf&uuml;gung.
 
 
 
 Gesundheit
 
 &ndash; Deine Gesundheit liegt uns am Herzen: Neben einer eigenen betrieblichen Krankenkasse bieten wir auch Vorsorgeuntersuchungen sowie Sportangebote an. Nimm an unserem kostenlosen Betriebssportprogramm teil oder profitiere von einer verg&uuml;nstigten Urban Sports Club-Mitgliedschaft.
 
 
 
 Das ist noch nicht alles
 
 &ndash; Wir m&ouml;chten ein positives Arbeitsumfeld schaffen: Ein Umfeld, in dem flexibles und kreatives Arbeiten m&ouml;glich ist, in dem Arbeit anerkannt und Leistung honoriert wird und auf das wir stolz sind. Alle Benefits findest du auf unserer Karriereseite.
 
 
 Bei PwC Deutschland arbeiten wir daran, entscheidende Herausforderungen zu l&ouml;sen, nachhaltige Ergebnisse zu schaffen und das Vertrauen in die Wirtschaft und Gesellschaft auszubauen. Als Teil unseres Transfer Pricing Teams wirst du mit einer guten Mischung aus Weitsicht und einem Blick f&uuml;rs Detail unseren Kunden dabei helfen, alle Belange der Verrechnungspreisgestaltung optimal zu begleiten. Daf&uuml;r entwickeln wir ma&szlig;geschneiderte Transfer Pricing Strategien, weshalb wir uns immer &uuml;ber deine innovativen Ideen freuen. Bring dich in unser interdisziplin&auml;res Team ein, nutze die neuesten digitalen Tools und entwickle gemeinsam mit uns innovative L&ouml;sungen.
 
 
 
 Kontakt
 
 
 
 Du hast Fragen zu dieser Position oder deiner Bewerbung?
 
 
 Melde dich gerne bei
 
 Ines Wallenwein
 
 unter
 
 +49 69 95855225.
 
</div>

AI Engineer - Transfer Pricing (w/m/d)

BMW Group

<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.
 
 
 With our team you collaborate with experienced AI architects and engineers to build and evolve AI platform architecture, powering Android-based infotainment and large-scale vehicle software systems.
 
 
 
 What awaits you?
 
 
 
 <ul>
 <li>
 You design and own end-to-end AI and data architectures &ndash; from data ingestion and feature pipelines to model deployment and monitoring &ndash; with a strong focus on production-grade edge AI inside the vehicle.
 </li>
 <li>
 Furthermore, you build scalable platform architectures that serve multiple feature teams across the Android ecosystem (e.g. digital cockpits, infotainment features), enabling them to deliver AI-powered customer experiences reliably and at scale.
 </li>
 <li>
 You provide technical leadership for Android Automotive and its ecosystem, ensuring that AI platform decisions align with Android evolution, AOSP constraints, and long-term platform scalability.
 </li>
 <li>
 In addition, you define and evolve clear interfaces between AI platforms, Android infotainment, and application development &ndash; staying compatible with new Android versions while keeping the AI infrastructure adaptable and future-proof.
 </li>
 <li>
 You translate emerging AI requirements into production-ready platform capabilities, bridging applied research, platform engineering, and product needs.
 </li>
 <li>
 You continuously drive the AI strategy for infotainment platforms, tracking key technology trends (e.g. on-device LLMs/VLMs, multimodal interaction, agentic AI) and collaborating with leading external technology partners.
 
 
 
 </li>
 </ul>
 
 What should you bring along?
 
 
 
 <ul>
 <li>
 Master&rsquo;s or PhD in Computer Science, AI, Machine Learning, Data Science, or a related field, with hands-on experience in AI and data architecture beyond prototypes.
 </li>
 <li>
 In-depth knowledge of Android (AOSP / Android Automotive) as a production platform, including its constraints and evolution.
 </li>
 <li>
 Strong experience with AI architecture onboard and offboard, as well as implementation of Small Language Models, Vision Language Models, or autonomous driving models.
 </li>
 <li>
 Knowledge of multi-agent systems orchestration, multi-turn dialogues, and related open standards (e.g., A2A, MCP).
 </li>
 <li>
 Experience with AI training toolchains and workflows including pruning, fine-tuning, and multimodal encoding.
 </li>
 <li>
 Proficiency in Rust, C++, Kotlin, and modern, API-driven system architectures.
 </li>
 <li>
 Proven technical leadership experience in agile, cross-functional teams.
 
 
 
 </li>
 </ul>
 If you are passionate about scalable AI platforms, edge computing, and real-world impact? 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 (esp. e-mail) cannot be considered.
 
 
 
 What do we offer?
 
 
 
 <ul>
 <li>
 Challenging projects with which we are shaping the mobility of tomorrow together.
 </li>
 <li>
 Wide range of personal and professional development opportunities.
 </li>
 <li>
 Attractive, fair and performance-related remuneration.
 </li>
 <li>
 High level of job security.
 </li>
 <li>
 Annual special payments such as vacation pay, Christmas bonus, and profit sharing.
 </li>
 <li>
 Flexible working hours including 6 weeks annual leave and overtime compensation.
 </li>
 <li>
 Discounted BMW &amp; MINI conditions.
 </li>
 <li>
 Many other benefits at bmw.jobs/benefits
 
 
 
 </li>
 </ul>
 
 Earliest starting 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).
 
 
 You can find helpful tips on your application and the application process here.
 
 
 At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. Learn more here.
 
 
 Senior AI Engineer for the Infotainment Platform (f/m/x)
</div>

Senior AI Engineer for the Infotainment Platform (f/m/x)

Intel Corporation

<div><h1 class="jobSectionHeader">Job Details:
</h1><h2 class="jobSectionHeader">Job Description:
</h2>A unique Software Engineering position combining advanced GPU software engineering, software and hardware architectural influence, and GPU domain expertise to help deliver leading solutions on Intel Graphics architectures to market.
In this role, you will work with software vendors, institutions, open-source communities, and internal engineering teams to enable and optimize GPU compute workloads on Intel platforms, helping ensure they run optimally on current and future Intel client systems, including laptops, desktops, and workstations. The role focuses on Vulkan-based workloads, with development and optimization work across Windows, Linux, and ChromeOS.
You will research, develop, prototype, and optimize software solutions that leverage Intel GPU capabilities and drive adoption with strategic ecosystem partners. The team supports a broad range of workloads, including content creation, media, productivity, AI/ML acceleration, and commercial applications, often spanning CPU, GPU, and NPU execution. As partner needs and Intel priorities evolve, the technology focus of the role may also evolve accordingly.
You will support software development across the full lifecycle, including feature definition, project setup, implementation, optimization, validation, and go-to-market activities. The role also involves direct engagement with independent software vendors (ISVs) and open-source communities, technical consultation, performance analysis, and close collaboration with Intel engineering teams to resolve software and platform issues.
In addition, you will provide technical feedback to Intel product, software, and architecture teams to help improve future technologies and solutions while staying current on ecosystem trends and emerging technologies. This role offers an excellent opportunity to deepen GPU engineering expertise while building strong project execution, technical influence, and customer engagement skills.
Essential Duties and Responsibilities
Responsibilities may include, but are not limited to:
<ul><li>Analyze, design, implement, debug, and optimize GPU compute software solutions and enabling technologies.
</li><li>Develop prototypes, proof-of-concepts, and performance experiments using Vulkan-based compute and related software stacks.
</li><li>Understand partner requirements and help align software-enablement activities with Intel's graphics and platform technology strategy.
</li><li>Ensure that software released by leading ISVs and ecosystem partners runs optimally on Intel client platforms.
</li><li>Perform workload characterization, bottleneck analysis, debugging, profiling, benchmarking, and performance tuning on Intel and competitive platforms.
</li><li>Collaborate with partners and internal teams on software architecture, implementation, validation, and optimization across Windows, ChromeOS, and Linux.
</li><li>Provide technical consultation, training, and hands-on engineering support to software developers and ecosystem partners.
</li><li>Interface with Intel engineering teams to resolve driver, runtime, compiler, operating system, middleware, and platform issues affecting customer success.
</li><li>Author technical documentation, presentations, whitepapers, and training materials for internal and external stakeholders.
</li><li>Contribute technical feedback to Intel software, platform, and architecture teams to help improve future technologies and capabilities.
</li><li>Investigate emerging industry trends, APIs, frameworks, and workload patterns to identify new opportunities for Intel platform optimization and ecosystem engagement.
</li><li>Support cross-functional execution across engineering, product, planning, and go-to-market activities.
</li></ul><h2 class="jobSectionHeader">Qualifications:
</h2>Required Qualifications
<ul><li>Master's degree or equivalent in Computer Science, Electrical Engineering, Computer Engineering, or a related scientific or engineering discipline.
</li><li>Strong experience in low-level GPU programming, including compute pipeline development.
</li><li>Expert experience with Vulkan API.
</li><li>Advanced experience programming in modern C and C++.
</li><li>Experience with performance profiling, debugging, and optimization of GPU or heterogeneous applications.
</li><li>Solid understanding of CPU and GPU architecture, or related processor and SoC architectures.
</li><li>Working knowledge of Windows, Linux, and ChromeOS software environments.
</li><li>Strong problem-solving, communication, and collaboration skills.
</li><li>Self-motivated, independent, and able to work effectively across organizational boundaries.
</li>Excellent verbal and written English communication skills. 
<li>
 
</li></ul>Preferred Qualifications
<ul><li>Ph.D. in Computer Science, Electrical Engineering, or a related field.
</li><li>Experience with heterogeneous programming models such as SYCL, OpenCL, CUDA, or similar compute APIs.
</li><li>Familiarity with AI/ML acceleration, media processing, or compute-offload workflows on CPU, GPU, and NPU architectures.
</li><li>Experience with shader programming, SPIR-V, GPU runtimes, compiler toolchains, or driver interactions.
</li><li>Experience with Intel software and performance tools such as Renderdoc, VTune&trade;, oneAPI tools, or related toolchains.
</li><li>Experience with additional APIs or frameworks such as OpenGL, DirectX, Metal, or other graphics and compute interfaces.
</li><li>Experience with software benchmarking, validation, regression analysis, and performance triage.
</li><li>Experience working with external software partners, customers, or open-source communities.
</li><li>Strong presentation skills and the ability to communicate effectively with highly technical audiences.
</li>Additional language skills are a plus. 
<li>
</li></ul><h2 class="jobSectionHeader">Job Type:
</h2>Experienced Hire
<h2 class="jobSectionHeader">Shift:
</h2>Shift 1 (Germany)
<h2 class="jobSectionHeader">Primary Location:
</h2>Germany, Munich
<h2 class="jobSectionHeader">Additional Locations:
</h2>France, Paris, Ireland, Leixlip, Israel, Haifa, United Kingdom, Great Britain
<h2 class="jobSectionHeader">Business group:
</h2>The Software Team drives customer value by enabling differentiated experiences through leadership AI technologies and foundational software stacks, products, and services. The group is responsible for developing the holistic strategy for client and data center software in collaboration with OSVs, ISVs, developers, partners and OEMs. The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel's market segments. The group also has HW and SW engineering experts responsible for delivering IP, SOCs, runtimes, and platforms to support the CPU and GPU/accelerator roadmap, inclusive of integrated and discrete graphics.
<h2 class="jobSectionHeader">Posting Statement:
</h2>All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
<h2 class="jobSectionHeader">Position of Trust
</h2>N/A 
<h2 class="jobSectionHeader">EU Salary
</h2>We offer a total compensation package that ranks among the best in the industry.
Annual Salary Range for this job which could be performed in Germany is: 72 030,00 &euro; - &euro;130,300.00&amp;#xa;&amp;#xa;The compensation range displayed in this posting reflects the minimum and maximum target compensation for this position. Within this range, individual pay is determined by job related skills, experience, and relevant education, training. As part of our total compensation approach, the final offer may include additional pay components and benefits. Your recruiting team will share the confirmed base salary along with any applicable total compensation elements upon employment offer delivery.
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
<ul><li></li></ul></div>

Software Enabling and Optimization Engineer – GPU Compute (Vulkan / Cross-OS) (f/m/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)

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)

parcelLab

<div>At parcelLab, we&rsquo;re reshaping how the world&rsquo;s leading brands manage the post-purchase experience.
Our post-purchase platform helps companies like John Lewis, Chico's, Yeti, AllSaints, and others transform every touchpoint into moments that drive customer engagement, build loyalty, and create customers for life.
We&rsquo;re looking for a Senior Backend Engineer - a product‑focused builder with strong experience to help evolve our Returns Portal, a white‑label SaaS used by customers in 175+ countries. You&rsquo;ll work on a large‑scale Django application with a modern Python toolchain (uv/mypy/Ruff/Pydantic) and a server‑driven UI stack (HTMX/Alpine).<h3 class="jobSectionHeader">
The role:</h3>
You will design and evolve the backend systems behind our returns experiences&mdash;owning problems end‑to‑end: clarify outcomes, collaborate with Product and Design, and ship reliable, observable services that make returns fast, clear, and correct.<h3 class="jobSectionHeader">
What you&rsquo;ll do:</h3><ul><li>
Lead services &amp; workflows from concept to impact: model data, implement APIs and jobs, instrument, launch, and iterate.</li><li>
Design and evolve domain models &amp; rules for returns (RMAs, eligibility, routing, bundles) with safe migrations and clear boundaries.</li><li>
Build and maintain APIs (REST/GraphQL) and endpoints that power our server‑driven UI (HTMX/Alpine).</li><li>
Integrate with commerce systems (e.g., Shopify) and order/warehouse tools: design and operate API/webhook integrations, keep orders and RMAs in sync, and ensure idempotent, reliable synchronization and backfills.</li><li>
Raise the bar on engineering practices: typing (mypy), validation (Pydantic), code quality (Ruff), CI/CD, and thoughtful reviews.</li><li>
Own quality in production: monitor performance and error rates; fix what you ship.</li></ul><h3 class="jobSectionHeader">
What we&rsquo;re looking for:</h3><ul><li>
Proficiency with Python in production, ideally (nice to have) with Django.</li><li>
Strong SQL fundamentals, relational modeling, and safe migrations.</li><li>
Experience building APIs (REST) and working with job queues.</li><li>
Comfort with modern Python tooling: uv, mypy, Ruff, Pydantic.</li><li>
Testing mindset (unit/integration) and continuous delivery know‑how.</li><li>
Evidence of agency: stories where you drove an outcome end‑to‑end.</li></ul><h3 class="jobSectionHeader">
Bonus Points:</h3><ul><li>
Experience with server‑driven UIs (Django templates + HTMX/Alpine).</li><li>
Tailwind CSS and solid CSS fundamentals (layout, responsive, a11y) for pragmatic UI tweaks in server‑rendered templates.</li><li>
Shopify ecosystem exposure (Admin API, webhooks, embedded apps).</li><li>
E‑commerce/returns domain familiarity (bundles, routing, warehousing).</li><li>
Observability and SLO practice (metrics, tracing, error budgets); performance tuning in Django at scale.</li></ul><h3 class="jobSectionHeader">
Our stack:</h3>
(you don&rsquo;t need all of this)
Python 3.14, Django, HTMX/Alpine.js (server‑driven UI), mypy, Ruff, Pydantic, uv; PostgreSQL (relational), Redis, a job queue (Celery), REST API / GraphQL, AWS, Terraform, GitHub Actions, feature flags, Sentry/Datadog observability.<h4 class="jobSectionHeader">
Why join parcelLab:</h4><ul><li>
You&rsquo;ll join a passionate and collaborative global team with plenty of room to grow</li><li>
Competitive salary + benefits</li><li>
A culture that values creativity, experimentation, and ownership</li></ul><h4 class="jobSectionHeader">
Perks &amp; Benefits:</h4>
Plenty of room for your own ideas...space to try, fail and learn!
Comprehensive 30-60-90 day onboarding plan in place from the very first day to help you integrate seamlessly with the rest of the company and understand new responsibilities
Equipped with the latest MacBook or PC, as a digital-first company, you choose whether to work entirely from home, in one of our offices or a mix that suits you. Not close to one of our offices No problem! Find yourself a co-working space instead, and we&rsquo;ll help cover the costs
Career development opportunities, including our Leadership Development Program, as well as online language courses, available budgets for further training
&zwj;️ Stay grounded with our free meditation, mindfulness and coaching sessions via our mental wellbeing platform TELUS.health
Regular company retreats, parcelLab events (in-person and online), local and regional meet-ups, as well as team off-sites
Be part of a motivated, diverse and international team made up of over 25 different nationalities; and with a great rating for company culture and employee experience on Glassdoor, you&rsquo;ll love working here!<h4 class="jobSectionHeader">
About parcelLab:</h4>
parcelLab&rsquo;s platform unifies every touchpoint from customer conversion, order tracking, delivery, returns, and engagement into one seamless ecosystem that not only reduces friction but actively drives repeat purchases, transforming post-purchase into a competitive advantage.
It&rsquo;s all in a day&rsquo;s work for us:<ul><li>
Monitor over six million shipments per day</li><li>
175+ countries across the globe use our tracking pages</li><li>
1000+ brands use parcelLab for their post-purchase experience</li><li>
Shipping data comes from more than 350+ carriers worldwide, including DHL, FedEx &amp; DPD</li><li>
150+ employees around the globe, driving innovation together</li></ul>
Equal Opportunities:
parcelLab is an Equal Opportunities Employer. We live the motto always joy, always team, always equality, which means we celebrate diversity and do not accept any form of discrimination or harassment. We believe that diversity enriches our employee experience and allows each of us to deliver the best work possible.
Qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, disability status or other lived experience.
Come be part of our growth &ndash; contribute your ideas and share in our success as we continue to improve the post-sales customer journey for millions of people every day.</div>

Senior Backend Engineer

Explore 10+ Ai platform and cloud engineer m w d in Munich this July. Find roles across top companies and apply now to boost your career.