1 day ago
Responsibilities
- Own the technical roadmap, architecture, engineering standards, and AI strategy for the Home Broadband telemetry analytics platform.
- Design modular Python analytics services and federated front ends covering customer, gateway, extender, broadband health, support, usage, and alerting domains.
- Lead platform-placement, capacity, high-availability, cost-modeling, and build-versus-buy decisions across on-premises infrastructure, OpenShift/Kubernetes, Google Cloud Platform, and AWS.
- Own the Dremio analytical serving layer over Apache Iceberg and define table partitioning, bucketing, compaction, file-layout, and query-performance standards.
- Integrate Kafka-Spark streaming ingestion, BigQuery, and other cloud warehouses with consistent semantics and governance.
- Lead production LLM and agentic engineering, including structured outputs, tool use, prompt caching, retrieval, accuracy measurement, custom agents, skills, hooks, and MCP integrations.
- Build broadband telemetry metrics, fleet-scale anomaly detection, device classification, firmware-regression analysis, root-cause indicators, home-health scores, and lifecycle KPI frameworks.
- Establish sub-second dashboard performance, caching, load-testing, reliability, deployment, rollback, traceability, and post-deployment verification standards.
- Define and enforce trustworthy analytics, responsible-AI, source-data validation, and change-traceability practices.
- Mentor analysts, data scientists, and engineers while influencing Engineering, Network, Product, Care, and Platform teams without direct authority.
- Create executive-grade reports and briefings with automated HTML, PDF, and Google Slides generation and publication controls.
Requirements
- Bachelor’s degree or four or more years of work experience.
- Six or more years of relevant experience through work, military experience, or specialized training.
- Experience with Home Broadband or telecom analytics spanning fixed wireless access, fiber, gateway telemetry, and extender telemetry.
- Experience with streaming ingestion and lakehouse architectures using Kafka and Spark.
- Experience with Python, SQL on very large datasets, Google Cloud Platform, and BigQuery.
- Experience with LLM APIs, prompt and context engineering, and AI-powered internal tools and agents used by business stakeholders.
- Experience using AI coding assistants in production engineering, including custom agents, skills, hooks, or MCP integrations.
- Preferred experience with FastAPI, asyncio, pyarrow, pandas, Bash, Google Apps Script, schedulers, and CI/CD automation.
- Preferred knowledge of TR-181, TR-069, USP, prplOS/OpenWrt, Wi-Fi, MoCA, Ethernet, and broadband device telemetry.
- Preferred production experience with Dremio on Apache Iceberg, data governance, model and output validation, and responsible-AI practices.
- Preferred experience with natural-language-to-SQL systems, quality-of-experience scoring, service-performance scoring, and care-facing diagnostics.
- Preferred experience with React, Vite, Module Federation, Verizon Design System, Redis, Playwright, Vitest, PostgreSQL, Citus, Tableau, Splunk, Amazon Athena, NotebookLM, or Google Stitch.
- Preferred experience with Linux production operations, nginx, systemd, gunicorn, uvicorn, Bitbucket, Git, OpenShift/Kubernetes, GCP, and AWS.
- Preferred expertise in mentoring cross-functional teams and shaping technical decisions across organizations.
Benefits
- Hybrid work arrangement with work from home and a minimum of three days per week in the office.
- Medical, dental, vision, disability, life insurance, AD&D, identity theft protection, pet insurance, and group home and auto insurance.
- Matched 401(k), up to eight company-paid holidays, up to six personal days, paid parental leave, adoption assistance, tuition assistance, and other incentives.
- Up to 15 vacation days per year for newly hired employees, increasing with additional service.
- Scheduled workweek of 40 hours.
Tech Stack
Apache KafkaApache SparkAWSBashFastAPIGitGoogle BigQueryGoogle Cloud PlatformHTMLKubernetesLinuxOpenShiftPandasPostgreSQLPythonReactRedisSplunkSQL
Categories
Data EngineeringML Engineering
About Verizon
Verizon builds and operates wireless networks, broadband (Fios), and enterprise connectivity, security, and IoT solutions for consumers, businesses, and public-sector customers. Its revenue comes from subscription mobile services, internet and TV access, and managed network and cloud security offerings. Founded in 2000 via the Bell Atlantic–GTE merger, the public company (NYSE: VZ) is headquartered in Basking Ridge, New Jersey, and is one of the largest mobile carriers in the United States.