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X In most instances, this position requires in-person interviews as part of the hiring process.
Minimum qualifications: - Bachelor's degree in Computer Science or IT-related field, or equivalent practical experience.
- 3 years of experience with systems automation, and with systems design and implementation.
- Experience in automation and scripting in languages such as Java, Python, JavaScript, C , Perl, and BASH.
- Must possess an active Top Secret/SCI security clearance with current polygraph.
Preferred qualifications: - 3 years of experience working with vendors or customers.
- Experience administering cloud services or container based applications or workloads.
- Understanding of Kubenertes or other container orchestration products.
- Ability to design secure, well-architected systems based on customer requirements.
- Ability to analyze situations or problems at the system level or from a broader perspective.
- Excellent troubleshooting skills.
About the jobIn this role, you will be part of an engineering team supporting United States Government customers and participating in scheduled on-call rotations for timely issue resolution. You will develop cloud infrastructure and service-based solutions, bringing Google Cloud's infrastructure closer to where data is generated and consumed, while mentoring junior team members.
Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $138000 - $197000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Scale systems sustainably through automation, engineering scripts and deployment frameworks to execute logical turnups and improve the service lifecycle.
- Architect observability solutions and telemetry pipelines, defining Service Level Indicators (SLIs) and dashboards to drive system reliability and operational velocity.
- Troubleshoot, debug, and resolve complex, multi-domain system issues, analyzing root causes to develop tooling and patches that eliminate recurring failures and toil.
- Coordinate cross-functionally with engineering teams and vendors to seamlessly integrate compute and storage stacks, ensuring platform components operate within infrastructure constraints.
- Implement and adapt system configurations to satisfy security frameworks, developing solutions that bridge execution boundaries while protecting proprietary infrastructure and data.
