DevOps Specialist

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/79a83x

pWe are looking for a Senior DevOps Engineer to lead the design, operation, and evolution of a cutting-edge AI and High-Performance Computing (HPC) infrastructure. /ppThis is not a traditional DevOps role. We're looking for someone who has built and operated mission-critical infrastructure at scale, thrives in complex environments, and can take full ownership of platform reliability, automation, and performance. You will work at the intersection of AI, cloud infrastructure, HPC, and MLOps, enabling world-class engineering and machine learning teams. /ppWhat You'll Do /pulliOwn and evolve production-grade AI and HPC infrastructure. /liliDesign, build, and optimize highly automated CI/CD and deployment workflows. /liliImprove platform reliability, scalability, observability, and operational excellence. /liliBuild automation and internal tooling using Python and Bash. /liliManage complex Linux-based environments, ensuring performance and stability. /liliOperate distributed and containerized workloads across cloud infrastructure. /liliPartner closely with AI/ML teams to enable efficient model development and deployment. /liliDefine infrastructure best practices and drive continuous platform improvements. /li /ulpWhat We're Looking For /ppRequired Qualifications /pulliExtensive experience in Senior DevOps, Platform Engineering, or Infrastructure Engineering roles. /liliDemonstrated experience operating and supporting High-Performance Computing (HPC) environments in production. /liliDeep expertise in Linux administration, troubleshooting,



security, and performance tuning. /liliAdvanced proficiency in Python and Bash for automation, tooling, and operational workflows. /liliStrong experience designing, implementing, and maintaining modern CI/CD pipelines, including GitHub Actions. /liliExtensive experience with AWS in complex, multi-environment production architectures. /liliProven experience managing containerized and distributed systems. /liliTrack record of owning infrastructure end-to-end and driving operational excellence. /liliExcellent troubleshooting, analytical, and problem-solving skills with a production-first mindset. /li /ulpPreferred Qualifications /pulliExperience managing GPU infrastructure, including NVIDIA drivers and CUDA. /liliStrong understanding of MLOps, including model deployment, lifecycle management, and monitoring. /liliExperience supporting AI/ML engineering teams and bridging research with production infrastructure. /liliHands-on experience with Infrastructure as Code (IaC) and large-scale infrastructure automation. /li /ulpIdeal Candidate /ppWe're looking for a highly experienced engineer who has worked in demanding production environments and is comfortable taking ownership of critical infrastructure. The ideal candidate combines deep technical expertise with a pragmatic approach to engineering, automation, and operational excellence, and enjoys solving complex infrastructure challenges that support advanced AI workloads. /p #J-18808-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/79a83x