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Staff Engineer- Machine Learning

GEICO

Staff Engineer- Machine Learning

GEICO

3 Locations

·

On-site

·

Full-time

·

1w ago

Compensation

$90,000 - $230,000

Benefits & Perks

Healthcare

401(k)

Learning Budget

Mental Health

Flexible Hours

Remote Work

Healthcare

401k

Learning

Mental Health

Flexible Hours

Remote Work

Required Skills

Java

C++

Python

C#

.NET

SQL

NoSQL

Docker

Kubernetes

Azure

AWS

GCP

PowerShell

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. That’s 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. That’s 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 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

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 Dev

Ops 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

  • Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience

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Annual Salary

$90,000.00 - $230,000.00
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.

GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.

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About GEICO

GEICO

GEICO

Acquired

Government Employees Insurance Company, has been providing affordable auto insurance since 1936

10,001+

Employees

Chase

Headquarters

Reviews

2.8

10 reviews

Work Life Balance

2.1

Compensation

3.5

Culture

2.2

Career

3.2

Management

2.3

25%

Recommend to a Friend

Pros

Good pay and benefits

Opportunities for advancement

Supportive management and supervisors

Cons

Excessive micromanagement and rigid structure

Unrealistic expectations and metrics

Poor work-life balance

Salary Ranges

4,724 data points

Junior/L3

Junior/L3 · Customer Service Representative

1,718 reports

$48,673

total / year

Base

$48,673

Stock

-

Bonus

-

$37,347

$63,434

Interview Experience

8 interviews

Difficulty

2.9

/ 5

Duration

14-28 weeks

Interview Process

1

Recruiter Phone Screen

2

Technical Phone Interview

3

Technical Interview

4

Behavioral Interview

5

On-site Interview

6

Final Interview