Infrastructure software engineer Jobs in München

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Infrastructure software engineer • munchen

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Senior Software Engineer - Infrastructure - AI/ML

MitratechMunich, Germany (remote)

Homeoffice

Design, deploy, and maintain scalable and secure infrastructure supporting AI and ML workloads.Build and maintain AWS cloud environments for compute (EC2, ECS/EKS, Lambda), storage (S3, EFS, FSx), ... Mehr anzeigen

Cloud Infrastructure Engineer (m/w/d)

HaysMünchen

Festanstellung durch unseren Kunden München Startdatum: sofort Referenznummer: 868235/1.Diesen Job teilen oder drucken.Strategische Weiterentwicklung der hybriden Infrastruktur inkl.Definition von ... Mehr anzeigen

AI Engineer (Healthcare Infrastructure)

Doctario GmbHMunich, Bavaria, Germany

Quick Apply

Das deutsche Gesundheitswesen verarbeitet jedes Jahr €341 Milliarden – mit Prozessen, die für die Faxmaschine gebaut wurden.Wir bauen die KI, die das ablöst.Doctario entwickelt KI-Infrastruktur für... Mehr anzeigen

Principal Software Engineer

Noyes Robotics GmbHMünchen, Bayern, DE

Architecture & Ownership** .Lead the platform’s architecture across API, Brain/ROS, client/SDK, cloud services, UI, and deployment.Define and evolve architectural principles, module boundaries,... Mehr anzeigen

Software Engineer* Individualsoftware

Accso – Accelerated Solutions GmbHMünchen, BY, DE

LLMs, agentische Frameworks, Codegenerierung und Testautomatisierung).Du wirkst in allen Disziplinen des Software-Engineerings mit und schreibst gut designten, testbaren und effizienten Code.Du ver... Mehr anzeigen

Senior Software Engineer

WeDaVinciMunich, Bavaria, Germany

Quick Apply

WeDaVinci's AI-powered platform enables media companies to generate fast, verifiable, and style-adaptive content.We allow media teams to produce news articles, podcast scripts, and soon, video trai... Mehr anzeigen

Software Engineer (all genders)

TeamViewer Germany GmbHMünchen, Bayern, .DE

Quick Apply

TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better.Our software solutions ha... Mehr anzeigen

Software Engineer (all genders)

TeamViewer GmbHMünchen, EMEA, DE

Software Engineer (all genders).Senior) Software Engineer (all genders).TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automat... Mehr anzeigen

Senior Software Engineer (all genders) - Mnchen

XITASO GmbHMünchen, Bayern, Germany

Du verfgst ber mehrjhrige praktische Erfahrung in der Software-Entwicklung.Du besitzt sehr gute Deutsch- und Englischkenntnisse (mind.C1-Niveau) fr eine klare und sichere Kommunikation im Team und ... Mehr anzeigen

Software Development Engineer

Siemens Electronic Design Automation SARLMunich, DE

Siemens Electronic Design Automation SARL.Munich - - Germany, Paris - Île-de-France - France.Siemens EDA is a global technology leader in Electronic Design Automation software.Our software tools en... Mehr anzeigen

Principal Software Engineer

SQUERMünchen, Bayern, DE

As Principal Software Engineer (f/m/x) at SQUER it’s your job to plan and coordinate the development of new digital initiatives of our clients and by doing so you are a big part of the success of a... Mehr anzeigen

Software Support Engineer - Europe

Sungrow - EMEAMunich, Bayern, DE

Hey there and welcome to your new Opportunity with us.We're thrilled to introduce a key role that connects our cutting-edge technology with the future of sustainable energy! Curious what this is al... Mehr anzeigen

DevOps & Developer Infrastructure Engineer*

Valentum Engineering GmbHMünchen, de

Valentum Engineering hat seine Wurzeln in der Automobilindustrie.Inzwischen haben wir uns aber auch in der Industrie erfolgreich etabliert.Hier unterstützen wir unsere Kunden bei der Entwicklung in... Mehr anzeigen

Senior Software Engineer

SerotonMünchen, Bayern, DE

We're looking for an experienced software engineer who wants to go beyond features and build the core system behind the relaxation experience.If you like building new systems from scratch, working ... Mehr anzeigen

Infrastructure & DevOps Engineer (m/w/d)

AKKODISMünchen, Bayern, Germany

Akkodis ist ein globales Beratungsunternehmen für Digital Engineering, das Technologie und Talente zusammenbringt, um Transformation zu beschleunigen, Innovation voranzutreiben und eine intelligent... Mehr anzeigen

QA Engineer (w/m/d) AI Infrastructure

FAST LTA GmbHMünchen, DE

Du denkst wie ein Ingenieur, fragst wie ein Detektiv und willst am Ende wissen: Läuft das wirklich zuverlässig? Bei uns baust du QA für eine lokale KI-Plattform auf, die in echten Rechenzentren läu... Mehr anzeigen

Wir suchen: (Senior) IT/OT Infrastructure Engineer (m/w/d)

Heidelberg Web Carton Converting GmbHMünchen, Germany

Einleitung Suchen Sie nach einer Herausforderung? Das bieten wir Ihnen! Die Heidelberger Druckmaschinen AG zählt international zu den führenden Lösungsanbietern und Dienstleistern in der Druckindus... Mehr anzeigen

IT Infrastructure Engineer (m/w/d) Datacenter

hubside Consulting GmbHMünchen, de

IT Infrastructure Engineer (m/w/d) Datacenter.IT Infrastructure Engineer (m/w/d) Datacenter.Sie das Rückgrat einer leistungsstarken IT-Landschaft und sorgen dafür, dass Systeme stabil, sicher und z... Mehr anzeigen

IT Infrastructure Engineer (m/w/d) Datacenter

hubside - Die RecruitingwerkstattMunich, Bavaria, Germany

Quick Apply

IT Infrastructure Engineer (m/w/d) Datacenter.Sie das Rückgrat einer leistungsstarken IT-Landschaft und sorgen dafür, dass Systeme stabil, sicher und zukunftsfähig laufen.Dabei gestalten Sie nicht ... Mehr anzeigen

IT System Engineer – Infrastructure (w/m/d)

JobiqoMünchen, Bayern, DE

Du bringst ein solides Infrastruktur-Know-how mit, arbeitest gerne hands-on und fühlst dich in komplexen Umgebungen mit externen Partnern wohl?.In dieser Rolle übernimmst du die Verantwortung für z... Mehr anzeigen

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Senior Software Engineer - Infrastructure - AI/ML

MitratechMunich, Germany (remote)

Vor 30+ Tagen

Anstellungsart

Homeoffice

Stellenbeschreibung

Design, deploy, and maintain scalable and secure infrastructure supporting AI and ML workloads.
Build and maintain AWS cloud environments for compute (EC2, ECS/EKS, Lambda), storage (S3, EFS, FSx), and networking (VPC, Transit Gateway, PrivateLink, Route 53, load balancers).
Implement security best practices using IAM, KMS, Secrets Manager, GuardDuty, and Security Hub.
Support and optimize AI/ML workloads across AWS services (SageMaker, Bedrock, Batch, Step Functions).
Develop and maintain Infrastructure as Code (IaC) using Terraform, AWS CDK, and CloudFormation.
Manage containerized workloads and orchestration platforms (Docker, EKS, Fargate), including GPU scheduling and scaling.
Set up and maintain monitoring and observability frameworks using CloudWatch and OpenTelemetry.
Build and manage CI/CD pipelines (CircleCI, GitHub Actions, GitLab CI) for infrastructure automation and ML/Gen AI deployments.
Collaborate with ML and Generative AI teams to scale models, optimize performance, and design efficient prompt or inference pipelines.
Develop runbooks and SOPs for AI service deployment, troubleshooting, and performance optimization.
Ensure security, compliance, and data protection across AI datasets and environments.

Requirements & Skills:

Deep expertise in AWS cloud services, with experience in compute, storage, networking, and security domains.
Proficiency in container orchestration (Kubernetes/EKS) and infrastructure automation tools.
Hands-on experience with IaC tools such as Terraform, AWS CDK, or CloudFormation.
Familiarity with monitoring, logging, and observability stacks (Prometheus, Grafana, OpenTelemetry).
Experience implementing CI/CD pipelines for automated deployment and testing.
Understanding of AI/ML concepts, including model deployment, inference scaling, and LLM performance tuning.
Working knowledge of security best practices, IAM roles, encryption, and compliance controls.
Excellent collaboration and communication skills to partner with ML engineers, data scientists, and product teams.

Education:

A Master’s degree in Machine Learning, Computer Science with a preference for specialization in the NLP domain.

We are an equal-opportunity employer that values diversity at all levels. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, disability, or veteran status.