Senior Cloud Engineer (REMOTE)

As a Senior Cloud Engineer on the MLOps Team, you will be responsible for providing and maintaining a robust and scalable machine learning platform in a multi-cloud environment. This includes designing and documenting secure systems based on end user needs, configuring and provisioning components as required, productionizing machine learning resources and routines, training platform users and advising on best practices, and providing continued monitoring solutions for platform stability. You will support our IT, data science, and business stakeholders in their efforts to design, deploy, and maintain machine learning models that provide value to many different areas of GEICO's business - from applications teams to marketing and underwriting. You will collaborate with other IT teams, including architecture, network teams, and DevOps Catalog to build solutions that meet the customer's needs within our organizational parameters and processes.

Roles and Responsibilities

• Work with platform users to understand requirements and use cases, and to advise on strategy and best practice for use of the platform.

• Design and provision secure cloud-native infrastructure systems using Infrastructure as Code / Configuration as Code tools

• Contribute to strategic implementation decisions, including technical stack selection, reliability, and multitenancy considerations.

• Monitor cloud-based systems and components for availability, performance, reliability, security, efficiency, and ability to meet non-functional requirements and service level agreements, and implement highly-available redundant systems as required by SLA's.

• Create and configure appropriate cloud resources to meet the needs of the end users, including Azure Kubernetes Clusters, Machine Learning Workspaces, cloud compute, and storage.

• Create and maintain pipelines in Azure DevOps to automate deployment of code and resources (CICD).

• Strong, proven problem-solving skills and a proven ability to apply critical/analytical thinking to deliver sustainable and creative solutions to complex requirements.

• As needed, document topology, processes, and solution architecture.

• Assist with the training and enablement of end users, including data scientists, program managers, and data consumers.

Qualifications

• Understanding of machine learning concepts and challenges, and understanding of Machine Learning Life Cycle

• Experience with the Microsoft Azure cloud environments & associated components and resources, to create enterprise-grade applications environments

• Extensive experience with source code management, including Git and Azure Repos, for artifact, secret, and code management.

• Experience with various cloud application hosting solutions, including Kubernetes, App Services, and server less implementations through Azure Functions

• Experience with cloud data storage and compute components including Kubernetes, data lakes, compute clusters, and data warehouses

• Extensive experience with at least one IaC provider in production (Azure ARM, Terraform are preferred)

• Knowledge of DevOps principles and comfortable working in Agile environment

• Strong working knowledge of networking concepts (DNS/DHCP/Firewalls/Sub-netting, etc.)

• Experience using Azure DevOps (ADO) platform to create and maintain CICD pipelines, including BASH/PowerShell, YAML, and Classic Pipeline Development

• Willing and able to provide support 24x7 for the platform on an on-call rotation basis.

Additional Helpful Qualifications

• Experience with Microsoft Azure machine learning components

• Experience with Python for data manipulation and data science, and notebook-based data analysis solutions like Jupyter or Azure Databricks

• Experience performing Root Cause Analysis (RCA) for application and infrastructure related issues

• Understanding of Azure DevOps and Github build configurations. Experience managing Agents and Agent Pools in Azure DevOps.

• Experience with dependency management for Python and Node applications

• Azure Certifications: AZ900, AZ104, AZ204, AI900, AZ305

Soft Skills

• Ability to work independently, and deliver results and drive projects with minimal supervision

• Strong ability to communicate blockers and issues to management for escalation and timely resolution

• Strong team player, with desire to learn new skills and broaden experience

BENEFITS:

At GEICO, we make sure you have the support and resources to leverage and develop your skills, secure your financial future, and take care of your health and well-being. GEICO continually seeks to provide a workplace where everyone can be their authentic self. To help achieve this goal, we support associate-led Employee Resource Groups that foster a true sense of community. Through GEICO's competitive benefits offerings and various training and development opportunities, we have you covered with our Total Rewards Program* that includes:

Premier Medical, Dental and Vision Insurance with no waiting period**
Paid Vacation, Sick and Parental Leave
401(k) Plan
Tuition Reimbursement
Paid Training and Licensures

*Benefits may be different by location. Benefit eligibility requirements vary and may include length of service.

**Coverage begins on the date of hire. Must enroll in New Hire Benefits within 30 days of the date of hire for coverage to take effect.

GEICO is proud to be an equal opportunity employer. We are committed to cultivating an environment where equal employment opportunities are available to all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO celebrates diversity and believes it is critical to our success. As such, we are committed to recruit, develop and retain the most talented individuals to join our team.

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Annual Salary

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations.