iCapital - DevOps Engineer - Senior Vice President
Requirements
• 15+ years of experience in DevOps, SRE, or Platform Engineering, with AWS as a primary cloud. • 15+ years • Experience supporting machine learning systems in production, including deployment and monitoring concerns. • machine learning systems in production • Hands‑on experience with machine learning platforms, particularly AWS SageMaker (required). • machine learning platforms • AWS SageMaker • Strong hands-on experience with Kubernetes, containerized workloads, and cloud networking. • Kubernetes • Proven experience building and operating CI/CD pipelines (e.g., GitLab CI, ArgoCD). • CI/CD pipelines • Strong proficiency with Terraform and scripting/programming in Python or similar languages. • Terraform • Python • Solid Linux, systems, and troubleshooting fundamentals. • Excellent communication skills and ability to work across teams. • Direct experience with MLOps platforms and tooling (model registries, experiment tracking, feature stores). • MLOps platforms and tooling • Exposure to Generative AI / LLM workloads in production environments. • Generative AI / LLM workloads • Familiarity with data stores commonly used in ML systems (e.g., Postgres, DynamoDB, object storage). • Experience operating in regulated or fintech environments. • regulated or fintech environments • Background in cost optimization for compute‑intensive workloads. • Strong written and verbal communication skills. • AWS certifications are a plus. • AWS certifications
Responsibilities
• Design, build, and operate MLOps pipelines supporting the full ML lifecycle (training, validation, deployment, monitoring). • MLOps pipelines • Enable production workloads for AI/ML and Generative AI systems, including LLM‑based services. • AI/ML and Generative AI systems • Develop and maintain CI/CD pipelines for AI/ML services and supporting infrastructure. • CI/CD pipelines • Build and manage cloud‑native infrastructure on AWS, with heavy use of Kubernetes and containerized workloads. • Kubernetes • Automate infrastructure provisioning and configuration using Infrastructure as Code (Terraform). • Infrastructure as Code (Terraform) • Implement model versioning, experiment tracking, and artifact management across environments. • model versioning, experiment tracking, and artifact management • Ensure reliability, scalability, observability, and cost efficiency of AI platforms. • reliability, scalability, observability, and cost efficiency • Partner with AI/ML engineers to operationalize models and standardize deployment patterns. • Implement monitoring and alerting for system health, model performance, and drift. • monitoring and alerting • Enforce security, compliance, and governance requirements for AI workloads. • security, compliance, and governance • Participate in incident response, root cause analysis, and continuous improvement initiatives. • incident response, root cause analysis, and continuous improvement • Document standards, best practices, and reference architectures for MLOps and AI infrastructure.
Benefits
• The base salary range for this role is $180,000 to $230,000 depending on experience. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). • We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. • For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ • iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics
Apply in one click
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT