Job
- Level
- Senior
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Onsite
Job Summary
In this role, you will design scalable and secure infrastructures for AI and ML applications on AWS, manage containers and CI/CD pipelines, and optimize data availability and security.
Job Technologies
Your role in the team
- 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.
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Our expectations of you
Education
- A Master's degree in Machine Learning, Computer Science with a preference for specialization in the NLP domain.
Qualifications
- Strong proficiency in Linux administration and systems-level troubleshooting.
- Proficiency in container orchestration (Kubernetes/EKS) and infrastructure automation tools.
- Vertrautheit mit Monitoring-, Logging- und Observability-Stacks (Prometheus, Grafana, OpenTelemetry).
- 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.
Experience
- Deep expertise in AWS cloud services, with experience in compute, storage, networking, and security domains.
- Hands-on experience with IaC tools such as Terraform, AWS CDK, or CloudFormation.
- Experience implementing CI/CD pipelines for automated deployment and testing.
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Topics that you deal with on the job
Job Locations
This is your employer
Mitratech
Mitratech is an established company that develops and distributes innovative software solutions for the automation of business processes. With a wide range of services, it supports clients across various industries.
Description
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Senior Infrastructure Engineer
- Location
- Munich
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
