Senior Infrastructure Engineer (AI/ML)

TL;DR

Senior Infrastructure Engineer (AI/ML): Designing, deploying, and maintaining scalable and secure infrastructure supporting AI and ML workloads with an accent on AWS cloud environments. Focus on optimizing performance, ensuring security, compliance, and data protection across AI datasets and environments.

Location: Germany - Remote

Company

hirify.global is focused on building world-class products that simplify operations in the Legal, Risk, Compliance, and HR functions.

What you will do

• Design, deploy, and maintain scalable and secure infrastructure supporting AI and ML workloads.
• Build and maintain AWS cloud environments for compute, storage, and networking.
• Implement security best practices using IAM, KMS, Secrets Manager, GuardDuty, and Security Hub.
• Develop and maintain Infrastructure as Code (IaC) using Terraform, AWS CDK, and CloudFormation.
• Build and manage CI/CD pipelines 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.

Requirements

• Strong proficiency in Linux administration and systems-level troubleshooting.
• 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).
• Excellent collaboration and communication skills to partner with ML engineers, data scientists, and product teams.

Nice to have

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

Culture & Benefits

• Be a part of a close-knit, globally dispersed team that thrives in an ecosystem that supports individual excellence.
• Participate in a diverse and inclusive work culture centered around great people practices and learning opportunities.
• Opportunity to move at a rapid pace with some of the most complex, leading-edge technologies available.