System Admin (aws)

Year    Remote, IN, India

Job Description

Job Spec: System Administrator (AWS)



Location:

Remote

Position Summary



The ModelOps/AWS Administrator will be responsible for deploying, managing, and optimizing our catastrophe models and tooling in production environments on AWS. This key role translates our scientific models into scalable, production-ready systems that deliver actionable intelligence to our clients. The ideal candidate will have strong AWS expertise combined with knowledge of catastrophe modeling platforms (particularly OasisLMF), MLOps practices, and CI/CD pipelines.

Key Responsibilities

Catastrophe Model Deployment: Deploy and manage catastrophe models and risk assessment tools in production environments, ensuring reliability, scalability, and performance. OasisLMF Platform Administration: Configure, maintain, and optimize OasisLMF platform instances and integrate with our broader modelling ecosystem. AWS Infrastructure Management: Design, implement, and manage our AWS cloud infrastructure supporting model deployment, including EC2, S3, Lambda, ECS, and other relevant services. Modeling Pipeline Automation: Build and maintain automation workflows for model validation, testing, deployment, and monitoring to ensure consistent, reliable outputs. CI/CD Implementation: Develop and maintain CI/CD pipelines for seamless integration and deployment of catastrophe models and supporting infrastructure. Model Monitoring: Implement comprehensive monitoring systems to track model performance, detect anomalies, and ensure accuracy of risk assessments. Security & Compliance: Ensure all deployed models and infrastructure adhere to security best practices and compliance requirements relevant to financial and insurance sectors. Documentation: Create and maintain thorough documentation for model deployment processes, infrastructure configurations, and operational procedures. Performance Optimization: Tune model deployment architecture to optimize for both accuracy and processing speed, particularly for computationally intensive catastrophe models. Disaster Recovery: Design and implement robust disaster recovery procedures for model deployment infrastructure. Collaboration: Work closely with data scientists, risk modelers, and engineering teams to streamline the model lifecycle from development to production. Client Delivery Support: Support the delivery of model outputs and insights to clients, ensuring technical aspects of client-facing systems function reliably.
Required Skills & Qualifications

3+ years of experience in cloud infrastructure management, with strong focus on AWS services Demonstrable experience deploying and managing models or analytical tools in production environments Proficiency with AWS services, particularly EC2, S3, IAM, Lambda, ECS Experience with containerization technologies (Docker, Kubernetes) Solid understanding of CI/CD principles and experience with CI/CD tools (e.g., , GitHub Actions, AWS CodePipeline) Knowledge of Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or AWS CDK Experience with scripting and automation using Python, Bash, or similar Understanding of security requirements for handling sensitive data in financial or insurance contexts Strong troubleshooting and problem-solving skills
Preferred Experience

Experience with OasisLMF or similar catastrophe modeling platforms Knowledge of risk modeling concepts, particularly for natural catastrophes or climate risks Experience working in insurance, reinsurance, or financial services sectors
Job Type: Permanent

Pay: ₹1,500,000.00 - ?2,000,000.00 per year

Benefits:

Work from home
Schedule:

Day shift
Experience:

OasisLMF or similar Catastrophe modeling platforms: 4 years (Required) catastrophes or climate risks: 3 years (Required) Insurance, Reinsurance, or financial services sectors: 3 years (Required) AWS: 5 years (Required)
Work Location: Remote

Beware of fraud agents! do not pay money to get a job

MNCJobsIndia.com will not be responsible for any payment made to a third-party. All Terms of Use are applicable.


Job Detail

  • Job Id
    JD3795835
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Remote, IN, India
  • Education
    Not mentioned
  • Experience
    Year