Software Engineer – Capacity Planning; Technical Leadership Job Bellevue area,Washington USA,IT/Tech

Position: Software Engineer – Capacity Planning (Technical Leadership)

Summary

Meta is seeking a principal engineer to join our Infrastructure Capacity Planning team, driving automation across our global supply chain ecosystem. You will architect and build frameworks that unify fragmented data, automate complex processes, and empower business and technical users to make decisions team is responsible for building and scaling automation across data, process, and system layers, enabling Meta’s infrastructure supply chain to meet rapid growth, frequent change, and increasing complexity.

You will drive the design and implementation of automation frameworks, data integration, and governance solutions that span multiple systems, supporting business and technical users in planning, execution, and analytics.

Required Skills

Software Engineer – Capacity Planning (Technical Leadership) Responsibilities:

Architect and implement automation solutions across the supply chain ecosystem, including data onboarding, validation, transformation, and reporting

Lead the development of frameworks and tools for end-to-end process automation, integrating variety of systems and partners, and enabling rapid onboarding and extensibility

Design and build modular, reusable components for scenario modeling, simulation, analytics, and optimization

Drive governance, data quality, and compliance automation, ensuring robust stewardship, certification, and auditability across all supply chain data assets

Collaborate with cross‑functional partners (Data Engineering, Data Science, Business Operations, external partners) to deliver unified, business‑facing platforms and self‑serve interfaces

Incorporate GenAI and advanced analytics into supply chain automation, leveraging AI/ML for predictive modeling, anomaly detection, and decision support

Set technical direction for integrating and automating workflows across Meta‑native and external supply chain systems

Define and track success metrics: reduced manual effort, increased automation coverage, improved data quality, faster scenario analysis, and successful onboarding of new models and partners

Minimum Qualifications

Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

8+ years of programming experience in a relevant language

Proven track record of planning multi‑year roadmap in which short‑term projects ladder to the long‑term mission

Experience driving large cross‑functional/industry‑wide engineering efforts

Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions

Experience communicating and working across functions to drive solutions

Experience mentoring/influencing executive stakeholders across organizations

Preferred Qualifications

Extensive experience architecting and building large‑scale automation frameworks (ideally in supply chain, infrastructure, or similar domains)

Expertise in distributed systems, data integration, and complex process automation

Extensive background in scenario modeling, simulation, and analytics

Experience with AI/ML (GenAI) for predictive analytics and optimization

Track record of delivering business‑facing, self‑serve automation tools

Experience with compliance, auditability, and data quality frameworks

Practical knowledge of how to drive automation and reduce manual processes across the ecosystem

Public Compensation

$219,000/year to $301,000/year + bonus + equity + benefits

Industry

Internet

Equal Opportunity

Meta is proud to be an Equal Employment Opportunity and Aff. ... (full EEO statement as provided above).

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

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