Senior Devops Engineer

Job DetailExperience Level Sr LevelDegree Type Bachelor of Science (BS)Employment Full TimeWorking Type HybridJob Reference 0000016711Salary Type AnnuallyIndustry Financial ServicesSelling Points Shape the future of AI infrastructure and DevOps at a leading organization. Collaborate on cutting-edge technologies to drive innovation and scalability. Advance your expertise in AI systems and operations.Job DescriptionSenior DevOps Engineer OverviewLead the design and optimization of DevOps pipelines supporting AI/ML lifecycle processes and scalable cloud-based infrastructure.Collaborate with cross-functional teams to deliver secure, efficient, and innovative AI platforms and services.Automate infrastructure provisioning and management using advanced tools like Terraform and Kubernetes.Ensure reliability, scalability, and observability of AI systems and workloads in production environments.Implement security, compliance, and governance standards for AI systems and processes.Support production workloads for Generative AI systems and LLM-based services with a focus on performance and efficiency.Document standards, best practices, and processes for DevOps and AI infrastructure to ensure consistency and quality.Drive innovation by leveraging cutting-edge technologies and methodologies to enhance operational capabilities.Senior DevOps Engineer Key Responsibilities & DutiesDesign and operate scalable DevOps pipelines for model lifecycle automation and deployment in cloud environments.Develop and manage cloud-native infrastructure using Kubernetes and containerized workloads on AWS.Implement systems for model versioning, artifact management, and experiment tracking to streamline AI workflows.Ensure system health monitoring, model performance tracking, and drift detection for AI systems.Collaborate with AI/ML engineers to standardize deployment patterns and practices for enhanced efficiency.Participate in incident response, troubleshooting, and continuous improvement initiatives to maintain system integrity.Optimize costs for compute-intensive workloads while ensuring scalability and operational efficiency.Document reference architectures and best practices for AI infrastructure and operations to guide future development.Senior DevOps Engineer Job RequirementsBachelor of Science degree in a relevant field is required for this role.10+ years of experience in DevOps, SRE, or Platform Engineering roles is essential.Proficiency in AWS cloud services, Kubernetes, and CI/CD pipeline development is required.Hands-on experience with Terraform and scripting/programming languages like Python is necessary.Experience with MLOps platforms, model registries, and experiment tracking systems is preferred.Exposure to Generative AI workloads and LLM-based services in production environments is advantageous.Strong communication skills and ability to work effectively across teams is essential.AWS certifications are preferred but not mandatory for this position.