Principal Engineer, Production Engineering, Google Distributed Cloud jobs in United States
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Google · 4 days ago

Principal Engineer, Production Engineering, Google Distributed Cloud

Google is a leading technology company seeking a Principal Engineer for Production Engineering within Google Distributed Cloud. The role involves being the technical leader responsible for operational excellence, driving technical execution, and ensuring the performance and security of GDC in various environments.

AppsArtificial Intelligence (AI)Cloud StorageSearch EngineSEO
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H1B Sponsor Likelynote

Responsibilities

Serve as the technical authority and chief architect for the Production Engineering function, defining and driving the technical roadmap in alignment with the strategic outlook across all aspects of operations - from SLI/SLO, Playbooks, Alerts, Logging, and remediations
Develop best practices for engineering operations, and be responsible for developing, and deploying them
Lead the critical organizational effort to address incident response, moving beyond local team initiatives to driving systemic improvements across the distributed GDC product
Maintain cross-functional partnerships with peer engineering teams and external partner teams to ensure alignment in technical decisions
Drive technical excellence and growth across the organization through effective technical mentoring, coaching, and setting the technical bar, emphasizing technical depth and a data-driven culture

Qualification

Distributed systems architectureSoftware lifecycle managementAI/Machine LearningInfrastructure technologiesProduction operations methodologiesTechnical leadershipOrganizational skills

Required

Bachelor's degree in Computer Science or related field
15 years of experience in software development for technical infrastructure
Experience architecting and debugging distributed systems across both connected and air-gapped environments
Experience owning the full software lifecycle, specifically for systems that interface with hardware and GPU configurations

Preferred

Master's degree in Computer Science or related field
Experience with production operations or site reliability methodologies, including experience architecting systems that drastically reduce mean time to detect and resolve
Experience leveraging AI/Machine Learning models to automate problem detection and accelerate root-cause analysis in production
Expertise in infrastructure technologies and trends, including public and private cloud, GPU, virtualization, and containerization
Excellent technical and organizational leadership skills, with the ability to resolve systemic technical problems and drive alignment across large, cross-functional teams

Benefits

Health, dental, vision, life, disability insurance
Retirement Benefits: 401(k) with company match
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
Baby Bonding Leave: 18 weeks
Holidays: 13 paid days per year

Company

Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet.

H1B Sponsorship

Google has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8763)
2024 (8872)
2023 (9682)
2022 (11626)
2021 (9109)
2020 (9785)

Funding

Current Stage
Public Company
Total Funding
$26.1M
Key Investors
Andy Bechtolsheim
2004-08-19IPO
1999-06-07Series Unknown· $25M
1998-11-01Angel· $1M

Leadership Team

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Sundar Pichai
CEO
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Thomas Kurian
CEO - Google Cloud
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Company data provided by crunchbase