Lead Staff Engineer for Machine Learning at GEICO providing leadership across engineering teams and managing complex enterprise-class business applications. Responsible for quality, usability, and performance of solutions in a growth-focused environment.
Responsibilities
Focus on multiple areas and provide leadership to the engineering teams
Own complete solution across its entire life cycle
Influence and build vision with product managers, team members, customers, and other engineering teams to solve complex problems for building enterprise-class business applications
Accountable for the quality, usability, and performance of the solutions
Lead in design sessions and code reviews to elevate the quality of engineering across the organization
Utilize programming languages like .NET, Python, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services
Mentor more junior team members professionally to help them realize their full potential
Consistently share best practices and improve processes within and across teams
Requirements
Fluency and Specialization with at least two modern languages such as Java, C++, Python or C# including object-oriented design
Experience in building products using micro-services oriented architecture and extensible REST APIs
Experience building the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems
Experience with continuous delivery and infrastructure as code
Fluency in DevOps Concepts, Cloud Architecture, and Azure DevOps Operational Framework
Experience in leveraging PowerShell scripting
Experience in existing Operational Portals such as Azure Portal
Experience with application monitoring tools and performance assessments
Experience in Datacenter structure, capabilities, and offerings, including the Azure platform, and its native services
Experience in security protocols and products: Understanding of Active Directory, Windows Authentication, SAML, OAuth
Experience in Azure Network (Subscription, Security zoning, etc.)
Experience in Genesis
In-depth knowledge of CS data structures and algorithms
Strong problem-solving ability
Ability to excel in a fast-paced, startup-like environment
Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication)
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