Systems Development Engineer, Deployment and Support, Google Public Sector

About the job

Systems Development Engineering (SDE) at Google is a role where you manage services and systems at scale. SDEs creatively put their engineering discipline to use automating the mundane and reducing toil. We don’t just write code to fix bugs, but emphasize the development of tools and solutions that fix classes of problems. We know it’s hard to control what you can’t measure - so we focus on observability: instrumenting first, then turning data into knowledge, and finally knowledge into action. We know that the operational efficiency of Google systems, services, virtual compute environments and the operating systems that power them impact the environment, not just the bottom line. We know that working together we can do more, and that community matters.

Google brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.

Together we engineer and build the infrastructure, tools, access and telemetry for systems that enable orchestration of Google-scale services. Come build things that matter.

In 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.

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.

Qualifications

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.