Staff Engineer, DevOps

## Staff Engineer Apply remote type:
Hybrid locations:
Palo Alto, CAtime type:
Full time posted on:
Posted Todayjob requisition :
R0065203
** 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's Pulse team is looking for a Staff Software Engineer who is passionate about building data platforms that give engineering leaders a
** single source of truth for developer productivity**. You will help drive our engineering transformation as we evolve from legacy technology to a living, API-driven insights platform — one that gives developers, managers, and executives meaningful, trustworthy data to make better decisions. This platform is transforming, and you will shape its next chapter.
** Position Description
** Our Staff Engineers work across levels to build new systems, improve existing ones, and solve critical problems with data and software. As a technical leader for the Developer Activity Metrics platform, you will define and execute a roadmap that turns raw ADO work item, PR, and AI usage data into clean, reliable, high-value metrics — powering dashboards, alerting, compliance reporting, and continuous improvement conversations across Developer Engineering.

You will also help GEICO push the boundary of agentic development by making AI-assisted and agent-driven engineering work measurable, governable, and actionable. Quantifying the impact of these capabilities for technology teams, business leaders, and the broader software delivery organization will ensure that budget is invested in the right place.

The ideal candidate combines deep software engineering expertise with strong experience in
** data pipeline engineering, metrics design, and platform thinking**. You understand what it takes to keep ETL pipelines healthy, data quality high, and dashboards accurate at enterprise scale — and you know how to make complex engineering metrics legible and useful to the humans relying on them.
** Position Responsibilities
** As a Staff Engineer on the Developer Activity Metrics team, you will:
* Define and drive the overall technical strategy for the Developer Activity Metrics platform, aligning it with GEICO's engineering goals and operating model.
* Lead data modeling and schema governance for datasets — ensuring metrics are consistently defined, reproducible, and aligned to a common taxonomy across teams.
* Establish and enforce data quality standards: build reconciliation, drift detection, and validation processes that keep Pulse data accurate and trustworthy over time.
* Drive the integration strategy between Developer Activity Metrics and adjacent data sources (AI spend, DORA, ADO work items, incident data), ensuring coherent, joined datasets for leadership and team-level reporting.
* Architect and deliver the API layer, enabling self-service metric consumption by engineering teams, dashboards, and downstream tooling.
* Partner closely with the other engineering teams, UX/UI, and stakeholder teams to align the metrics platform with how developers and managers work.
* Build and maintain operational runbooks, monitoring, and alerting so pipelines and dashboards stay healthy with minimal manual intervention.
* Mentor engineers on the team — coaching on technical design, code quality, and data engineering best practices.
* Collaborate with executive leadership and engineering managers to communicate the value of accurate developer metrics and foster a culture of data-informed improvement.
** Qualifications
* ** Fluency in modern programming languages —…