{"id":1145374,"url":"https://alion.io/job/geico-staff-engineer","title":"Staff Engineer","company":{"id":2667051,"name":"GEICO","domain":"geico.com","url":"https://alion.io/company/geico-3","size_band":null,"is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Workday","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"hiring_geo_confidence":"structured","locations":["Palo Alto, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":115000,"max":230000,"currency":"USD","period":"year","gross":null,"usd_annual":230000},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Ansible","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Configuration Management","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"GraphQL","optional":false},{"name":"Kubernetes","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-09-21T00:00:00Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-09-24T00:49:50Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Why Join GEICO?\nAt GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.\nEvery 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.\nFounded 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.\nPosition Summary\nGEICO'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.\nPosition Description\nOur 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.\nThe 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.\nPosition Responsibilities\nAs a Staff Engineer on the Developer Activity Metrics team, you will:\nDefine and drive the overall technical strategy for the Developer Activity Metrics platform, aligning it with GEICO's engineering goals and operating model.\nLead data modeling and schema governance for datasets - ensuring metrics are consistently defined, reproducible, and aligned to a common taxonomy across teams.\nEstablish and enforce data quality standards: build reconciliation, drift detection, and validation processes that keep Pulse data accurate and trustworthy over time.\nDrive 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.\nArchitect and deliver the API layer, enabling self-service metric consumption by engineering teams, dashboards, and downstream tooling.\nPartner closely with the other engineering teams, UX/UI, and stakeholder teams to align the metrics platform with how developers and managers work.\nBuild and maintain operational runbooks, monitoring, and alerting so pipelines and dashboards stay healthy with minimal manual intervention.\nMentor engineers on the team - coaching on technical design, code quality, and data engineering best practices.\nCollaborate with executive leadership and engineering managers to communicate the value of accurate developer metrics and foster a culture of data-informed improvement.\nQualifications\nFluency in modern programming languages - Go, Python.\nStrong SQL skills and experience with relational databases (PostgreSQL preferred); familiarity I vote for with NoSQL and graph databases a plus.\nExperience designing and operating ETL/ELT data pipelines at scale, including schema management, backfills, and handling upstream data changes.\nExperience building data quality, reconciliation, and drift-detection processes that keep metrics accurate over time.\nStrong API design experience (REST and/or GraphQL), including versioning, schema governance, and building metrics data as a consumable platform service.\nIn-depth knowledge of cloud architecture, container orchestration (Kubernetes), and observability tooling.\nExperience with infrastructure automation and configuration management (Ansible, Terraform).\nExcellent communication skills - able to translate technical tradeoffs into clear, actionable guidance for engineering managers and executives.\nStrong problem-solving and analytical abilities, with a bias toward operational excellence and measurable outcomes.\nExperience\n10+ years of professional experience in software engineering.\n8+ years of experience with architecture and system design.\n6+ years of experience with open-source frameworks.\n4+ years of experience with AWS, GCP, or Azure.\nDemonstrated experience building or owning metrics, analytics, or a data platform product at enterprise scale.\nExperience with developer productivity metrics, engineering analytics, or DORA metrics is strongly preferred.\nEducation\nBachelor's degree in Computer Science, Information Systems, or equivalent education or work experience.\nAnnual Salary\n$115,000.00 - $230,000.00The 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.\nAt this time, GEICO will not sponsor a new applicant for employment authorization for this position.The GEICO Pledge:\nGreat Company: Protecting customers through life’s twists and turns with innovation and integrity.\nGreat Careers: Personalized development programs, mentorship, and certification assistance.\nGreat Culture: Inclusive and collaborative culture rooted in shared success.\nGreat Rewards: Competitive pay, benefits, and flexibility to support your well-being and future.\nThe 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.\nGEICO 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.","description_format":"text","description_chars":7729,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services","Insurance","Internet Security Services"],"lifecycle":[{"event":"open","at":"2026-09-23T14:46:33Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":3,"expected_fill_days":32,"reasons":["conf:1","win:early","comp:brand"],"computed_at":"2026-09-24T01:55:23Z"},"pay":{"stated_usd_annual":230000,"is_top_pay":false},"html_url":"https://alion.io/job/geico-staff-engineer","json_url":"https://alion.io/job/geico-staff-engineer.json","meta":{"generated_at":"2026-09-24T01:55:23Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}