Staff Engineer- Machine Learning

At GEICO we offer a rewarding career where your ambitions are met with endless possibilities.

Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers expectations while making a real impact for our company through our shared purpose.

When you join our company we want you to feel valued supported and proud to work here. Thats why we offer The GEICO Pledge: Great Company Great Culture Great Rewards and Great Careers.

At GEICO we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers expectations while making a real impact for our company through our shared purpose.When you join our company we want you to feel valued supported and proud to work here. Thats why we offer The GEICO Pledge: Great Company Great Culture Great Rewards and Great Careers.

Our Staff Engineer is a lead member of the engineering staff working across the organization to provide a friction-less experience to our customers and maintain the highest standards of protection and availability. Our team thrives and succeeds in delivering high-quality technology products and services in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge typically ranging from front-end UIs through back-end systems and all points in between.

As a Staff Engineer you will:

• 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 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

Qualifications

• 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)

Experience

• 6 years of professional software development experience within a Java framework (J2EE web containers and Java)

• 4 years of experience in open-source frameworks

• 3 years of experience with architecture and design

• 3 years of experience with AWS GCP Azure or another cloud service

Education

• Bachelors degree in Computer Science Information Systems or equivalent education or work experience

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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 candidates work experience education and training the work location as well as market and business considerations.