Sr Staff Engineer - (Agentic AI & Enterprise Productivity) *HYBRID

Position: Sr Staff Engineer - (Agentic AI & Enterprise Productivity) *HYBRID*
Why Join GEICO?

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 on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.

Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. 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.

Position Summary:

GEICO is standing up a focused, high-impact engineering team to transform how work gets done across the enterprise. This team is building agentic AI systems and intelligent automation that integrate directly with collaboration and productivity tools such as Outlook, Slack, and Zoom to reduce manual effort, accelerate execution, and improve the associate experience at scale.
** This is a Hybrid position 2x a week onsite at the locations that are currently listed
** Position

Description:

We are seeking a Senior Staff Engineer to serve as a lead builder on this team, responsible for designing and delivering scalable, production-grade systems that power these experiences. You will play a critical role in translating architecture into execution—building the platforms, services, and integrations that enable AI-driven workflows across GEICO.Position Responsibilities As a Senior Staff Engineer, you will:

Focus on multiple areas and provide technical and thought leadership to design, build, product ionize an enterprise application

Develop and execute technical software development strategy for a variety of domains

Experience building, integrating, or extending solutions across enterprise collaboration platforms such as Slack, Outlook, Zoom, SharePoint, and Copilot, with a focus on enabling scalable automation and AI-driven workflows within real-world systems

Accountable for the quality, usability, and performance of the solutions

Influence and educate leadership at all levels

Consistently share best practices and improve processes within and across teams

Determine and support resource requirements, evaluate operational processes, measure outcomes to ensure desired results, and demonstrate adaptability and sponsoring continuous learning

Collaborate with application teams and business partners to standardize file sharing practices. Partner with them to scale product from 0 to 1

Qualifications Deep hands-on experience in complex system design and development of multi-tier distributed systems.

Fluent in at least two OOP languages such as Java, Go, Python, C++, etc.

Experience partnering with engineering teams and transferring research to production

Experience with continuous delivery and infrastructure as code

In-depth knowledge of CS data structures and algorithms

Experience solving analytical problems with quantitative approaches

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, test automation and related tools, operations, real-time communication)
Experience in CI/CD pipeline and related open-source tools like GIT/Jenkin/CircleCI/Sonar Qube and knowledge in Terraform/Ansible will be big plus Knowledge on Open-source monitoring software like Grafana and Prometheus Familiarity with other messaging and event solutions like Azure Service Bus and Azure Event Hub is a plus.

Experience
10+ years of professional experience in software engineering8+ years of experience in building scalable 3 tier production application touching millions of customers.
6+ years of experience with open-source frameworks is desired4+ years of experience with AWS, GCP, Azure and Dev Ops practices.

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

Annual Salary$ - $The above annual salary range is a general guideline. Multiple factors are taken into…