Posted 1 day ago
Top Secret
$113,000 - $161,000
Polygraph
IT - Software
Reston, VA (On-Site/Office)
Minimum qualifications:
Preferred qualifications:
About the job
As an Associate Systems Development Engineer, you will be at the forefront of deploying and managing Google's advanced cloud and AI technologies, including Google Distributed Cloud (GDC) and Gemini models, in complex environments. This role emphasizes the development of tools and solutions that fix classes of problems and reduce toil.
You will provide support to United States Government customers and will participate in scheduled on-call rotations for timely issue resolution. You will design, build, and maintain robust infrastructure solutions that ensure the reliability, scalability, and security of our platforms, potentially operating within air-gapped or secure environments.
You will be joining a team of engineers who specialize in building reliability and scale into new and existing solutions. Our scope takes shape around the full product life-cycle, collaborating and developing alongside our product teams, deploying and maintaining code into production environments, and providing escalation support for all customer-impacting issues. We work closely with internal partners as well as customers to maintain reliability holistically. This team serves as the highest technical escalation point for all issues within production environments and as such requires decisiveness, creativity, and a deep knowledge and perception of how various changing technologies interact.
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.
The US base salary range for this full-time position is $113,000-$161,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
- Bachelor's degree in Computer Science or IT-related field, or equivalent practical experience.
- 2 years of experience with technical infrastructure (e.g., deployment, maintenance, troubleshooting).
- 2 years of experience with Linux system administration, shell scripting, or containerization technologies (e.g., Docker, Kubernetes).
- Experience with scripting languages (e.g., Python, Go) and networking concepts.
- Active US Government Top Secret/Sensitive Compartmentalized Information (TS/SCI) security clearance with Polygraph.
Preferred qualifications:
- Experience with Google Cloud Platform (GCP), Google Distributed Cloud (GDC), or similar edge/hosted products.
- Experience managing AI/ML workloads and infrastructure monitoring stacks like Prometheus/Grafana.
- Understanding of Kubernetes architecture, operations, and GitOps principles/tools.
- Familiarity with infrastructure-as-code tools (e.g., Terraform, Ansible) and security in air-gapped environments.
- 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.
About the job
As an Associate Systems Development Engineer, you will be at the forefront of deploying and managing Google's advanced cloud and AI technologies, including Google Distributed Cloud (GDC) and Gemini models, in complex environments. This role emphasizes the development of tools and solutions that fix classes of problems and reduce toil.
You will provide support to United States Government customers and will participate in scheduled on-call rotations for timely issue resolution. You will design, build, and maintain robust infrastructure solutions that ensure the reliability, scalability, and security of our platforms, potentially operating within air-gapped or secure environments.
You will be joining a team of engineers who specialize in building reliability and scale into new and existing solutions. Our scope takes shape around the full product life-cycle, collaborating and developing alongside our product teams, deploying and maintaining code into production environments, and providing escalation support for all customer-impacting issues. We work closely with internal partners as well as customers to maintain reliability holistically. This team serves as the highest technical escalation point for all issues within production environments and as such requires decisiveness, creativity, and a deep knowledge and perception of how various changing technologies interact.
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.
The US base salary range for this full-time position is $113,000-$161,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Design, deploy, and maintain robust infrastructure and AI/ML systems on Google Distributed Cloud and similar technologies, ensuring adherence to security protocols.
- Manage containerized workloads (Kubernetes, Gemini) and implement comprehensive monitoring and alerting systems to ensure system reliability and performance.
- Develop automation scripts (Python, Go) to streamline operations, reduce toil, and improve system scalability and life-cycle management.
- Collaborate with product engineering to diagnose, mitigate, and resolve complex technical issues, contributing to architectural improvements.
- Participate in an on-call rotation to support mission-critical services and ensure rapid resolution of customer-impacting issues.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
group id: RTX191830
