Leads development and begins architecting components of scalable, elastic distributed systems. Defines and enforces scalability requirements for owned components; optimizes code and data paths for high‑throughput, hyper‑scale workloads; and leverages data plane platforms for large‑scale retrieval, storage, and processing. Designs fault‑tolerant, in‑service‑upgradable systems using redundancy, replication, failover, and policies for partitions, applying load‑shedding, throttling, and rate‑limiting to handle network unreliability while meeting SLOs. Establishes KPIs and telemetry; builds proactive dashboards and alerts; and designs complex validation (fault injection, brownouts), replication, and synchronization for correctness and durability. Proactively diagnoses and resolves production issues, mentors peers, and ensures operational readiness. Implements robust security controls, executes remediation, maintains compliance documentation, and develops IaC and automation that enable safe patching, updates, and rollbacks within
Internal Responsibilities
Lead the design, implementation, and ongoing evolution of core distributed systems and data-plane services at hyperscale.
Define scalability, elasticity, durability, and availability requirements for owned components and ensure designs meet them.
Optimize high-throughput data paths for large-scale retrieval, storage, and processing using distributed state, replication, and synchronization patterns.
Design fault-tolerant systems that support in-service updates through redundancy, automatic failover, and recovery-oriented design.
Apply sound distributed-systems tradeoffs for network partitions and reliability, including load shedding, throttling, rate limiting, retries, and timeouts.
Establish service-level objectives, key performance indicators, telemetry, dashboards, and proactive alerting for critical systems.
Design and lead performance, load, fault-injection, and brownout testing to validate correctness, resilience, and operational readiness.
Lead production incident diagnosis and recovery, guide root-cause analysis, and mentor engineers in operational excellence.
Build and improve Infrastructure as Code and operational automation that enable safe patching, updates, rollbacks, and change management.
Minimum Qualifications
BS or MS degree in Computer Science or relevant technical field involving coding or equivalent practical experience
Deep understanding of operating systems, computer networks, and high-performance applications
6+ years’ experience delivering and operating large-scale production systems (1000+ server instances)
Proficient in one programming language(java/python/c/c++ scripting)
Systematic problem-solving approach, strong communication skills, a sense of ownership, and drive.
Proven ability to deliver products and experience with the full software development lifecycle
Preferred Qualifications
Strong background in Linux systems
Familiarity with system-level architecture, data synchronization, fault tolerance, and state management.
General cloud storage, networking, or computing experience
Experience with Server/GPU hardware architecture and system management.
Experience with Infiniband or RoCE networking
Hands-on experience designing, developing, and operating public cloud service data planes
External Responsibilities
Lead the design, implementation, and ongoing evolution of core distributed systems and data-plane services at hyperscale.
Define scalability, elasticity, durability, and availability requirements for owned components and ensure designs meet them.
Optimize high-throughput data paths for large-scale retrieval, storage, and processing using distributed state, replication, and synchronization patterns.
Design fault-tolerant systems that support in-service updates through redundancy, automatic failover, and recovery-oriented design.
Apply sound distributed-systems tradeoffs for network partitions and reliability, including load shedding, throttling, rate limiting, retries, and timeouts.
Establish service-level objectives, key performance indicators, telemetry, dashboards, and proactive alerting for critical systems.
Design and lead performance, load, fault-injection, and brownout testing to validate correctness, resilience, and operational readiness.
Lead production incident diagnosis and recovery, guide root-cause analysis, and mentor engineers in operational excellence.
Build and improve Infrastructure as Code and operational automation that enable safe patching, updates, rollbacks, and change management.
Minimum Qualifications
BS or MS degree in Computer Science or relevant technical field involving coding or equivalent practical experience
Deep understanding of operating systems, computer networks, and high-performance applications
6+ years’ experience delivering and operating large-scale production systems (1000+ server instances)
Proficient in one programming language(java/python/c/c++ scripting)
Systematic problem-solving approach, strong communication skills, a sense of ownership, and drive.
Proven ability to deliver products and experience with the full software development lifecycle
Preferred Qualifications
Strong background in Linux systems
Familiarity with system-level architecture, data synchronization, fault tolerance, and state management.
General cloud storage, networking, or computing experience
Experience with Server/GPU hardware architecture and system management.
Experience with Infiniband or RoCE networking
Hands-on experience designing, developing, and operating public cloud service data planes
