Software Engineer Manager II, Infrastructure

Technology, Data & Digital · Software & Web Development · Software Engineering · Cloud Engineering

In short

Google is seeking a Software Engineer Manager II, Infrastructure in Bengaluru, India. This role involves managing a hardware systems and platform software engineering team, driving architectural definition, and collaborating with various teams to qualify compute platforms. Requires strong technical and leadership expertise, with a minimum of 8 years in software development and 3 years in technical leadership.

Responsibilities

Coach, mentor, and scale a hardware systems and platform software engineering team in BLR, advocating technical excellence and high ownership.
Work alongside TLs to drive architectural definition, board/system validation, and qualification for next-generation Google Distributed Cloud connected (GDCc) and Google Global Cache (GGC) compute servers.
Steer engineering engagements with key (original equipment manufacturer) OEMs (Dell, HPE, Supermicro) to co-design and qualify platforms adhering to Google’s rigorous reliability, and security standards.
Collaborate with AI platform and accelerator teams to qualify compute platforms capable of hosting local Gemini models, GPU/NPU subsystems, and low-latency inference workloads.
Coordinate platform software, BIOS/OpenBMC, security attestation, and OS bring-up with distributed Google Cloud software teams.

Requirements

Bachelor’s degree, or equivalent practical experience.
8 years of experience in software development.
3 years of experience in a technical leadership role.
2 years of experience in a people management or team leadership role.

Desired Qualifications

10 years of experience with software development.
7 years of experience in a technical leadership role; overseeing strategic projects, with 5 years of experience in a people management, supervision/team leadership role.
Experience working with the following areas: Kubernetes or container orchestration frameworks, Cloud infrastructure (GCP, cloud computing platform, other) system integration, configuration management, control management, orchestration layer, etc. and with data collection/monitoring/alerting infrastructure, data analysis pipelines and machine learning.
Track record of successful product delivery.

Skills

KubernetesGCPmachine learning

#infrastructure#software development#technical leadership#people management#team leadership#product delivery#Kubernetes#cloud infrastructure#GCP#container orchestration#system integration#configuration management#control management#orchestration layer#data collection#monitoring#alerting infrastructure#data analysis pipelines#machine learning#Google Cloud#hardware systems#platform software engineering#architectural definition#board validation#system validation#qualification#compute servers#OEMs#AI platform#accelerator teams#Gemini models#GPU#NPU subsystems#low-latency inference#platform software#BIOS#OpenBMC#security attestation#OS bring-up

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