Staff Engineer

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.

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.

• Fluency in modern programming languages — Go, Python.
• Strong SQL skills and experience with relational databases (PostgreSQL preferred); familiarity I vote for with NoSQL and graph databases a plus.
• Experience designing and operating ETL/ELT data pipelines at scale, including schema management, backfills, and handling upstream data changes.
• Experience building data quality, reconciliation, and drift-detection processes that keep metrics accurate over time.
• Strong API design experience (REST and/or GraphQL), including versioning, schema governance, and building metrics data as a consumable platform service.
• In-depth knowledge of cloud architecture, container orchestration (Kubernetes), and observability tooling.
• Experience with infrastructure automation and configuration management (Ansible, Terraform).
• Excellent communication skills — able to translate technical tradeoffs into clear, actionable guidance for engineering managers and executives.
• Strong problem-solving and analytical abilities, with a bias toward operational excellence and measurable outcomes.

• 10+ years of professional experience in software engineering.
• 8+ years of experience with architecture and system design.
• 6+ years of experience with open-source frameworks.
• 4+ years of experience with AWS, GCP, or Azure.
• Demonstrated experience building or owning metrics, analytics, or a data platform product at enterprise scale.
• Experience with developer productivity metrics, engineering analytics, or DORA metrics is strongly preferred.

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 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.

The GEICO Pledge:

Great Company: Protecting customers through life’s twists and turns with innovation and integrity.

Great Careers: Personalized development programs, mentorship, and certification assistance.

Great Culture: Inclusive and collaborative culture rooted in shared success.

Great Rewards: Competitive pay, benefits, and flexibility to support your well-being and future.

The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.

GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.