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Salary
≈ $275k – $511k per year (Estimated)
Location
In office (Bellevue)
Seniority
Staff · 10+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Oct 21, 2026. Meta scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Meta Platforms is an American technology company founded in 2004 as Facebook and renamed in 2021 to signal its investment in immersive computing. It operates the largest family of social and messaging applications in the world, comprising Facebook, Instagram, WhatsApp, Messenger and Threads, and earns almost all of its revenue from advertising sold against that audience. Headquartered in Menlo Park, California, the company also develops the open Llama language models and the Reality Labs division behind Quest headsets and Ray-Ban smart glasses.
Meta's network infrastructure powers some of the world's largest and most complex distributed systems, supporting billions of users across social media, AI, and immersive computing platforms. We are seeking a Staff Software Engineer to help design, build, and operate the software systems that underpin Meta's global network fabric - spanning data center interconnects, edge services, traffic engineering, and network automation. In this role, you will lead the development of scalable, high-reliability software that manages and optimizes network infrastructure at hyperscale, working closely with network engineers, hardware teams, and platform partners to deliver production systems that keep Meta's network fast, resilient, and efficient.

Responsibilities

Architect and lead delivery of Meta Compute’s cloud-native host networking platform, owning end-to-end technical direction from design through production rollout Build/modernize Kubernetes networking features integrated with Meta’s host networking stack (e.g., dataplane integration, operability, scaling characteristics) Design and implement core networking primitives: network virtualization, load balancing/service connectivity, and distributed firewalling/policy enforcement Drive time-to-market execution: define milestones, de-risk key technical choices early and deliver iterative production increments Lead broad cross-functional alignment across compute, storage, platform, security, and hardware/fabric partners-owning interfaces/contracts and end-to-end outcomes Leverage and influence open-source ecosystems: evaluate open-source building blocks, contribute improvements where needed, and ensure Meta’s solution is maintainable and operable long-term

Qualifications

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 10+ years of experience in software development for networking or infrastructure systems, or a PhD with 4+ years of experience in a relevant technical area 4+ years proven experience designing and shipping networking dataplane/control-plane systems in production (e.g., host networking, L4/L7 load balancing, NAT/conntrack, firewalls/policy, network virtualization) Hands-on Kubernetes networking experience in production (e.g., CNI, Services, NetworkPolicy/policy models, service connectivity/load balancing integration) Proficiency in C/C++ and at least one scripting language (Python/Shell scripting) Experience with developing and automating test suites Demonstrated experience working across disciplines to align on technical decisions and deliver integrated solutions Experience collaborating closely with hardware and ASIC design teams, contributing to hardware specifications, co-designing hardware-software interfaces, and influencing silicon feature sets based on software requirements Expertise in high-performance networking frameworks and techniques such as DPDK, eBPF/XDP, AF_XDP, io_uring, kernel bypass, zero-copy I/O, and RDMA/RoCEv2 Direct experience with DPU SoC/SmartNIC platforms Experience building or contributing to Kubernetes operators, controllers, or device plugins that manage hardware-accelerated networking or storage resources Familiarity with Linux networking internals such as netdev subsystem, TC/iptables/nftables, network namespace isolation, traffic shaping, and kernel driver development Experience in hyperscale or cloud-provider environments

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