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Senior Software Engineer, Site Reliability Engineering, Vertex AI 3P
GoogleMountain View, CA, USASenior5+ years
Apply Minimum qualifications:
- Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience leading projects and providing technical leadership.
- 3 years of experience in designing, analyzing, and troubleshooting large-scale distributed systems.
Preferred qualifications:
- Master's degree in Computer Science or Engineering or a related technical field.
- Experience with cluster management system and Google Cloud interactions.
- Experience with load balancing, high-availability, and scalable system design.
- Experience with performance analysis and optimization (e.g., Dapper, pprof).
- Familiarity with Site Reliability Engineering (SRE) or Production Engineering practices, such as managing system reliability, uptime, and performance, as well as on-call and incident-response.
About the job
Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that Google Cloud's services—both our internally critical and our externally-visible systems—have reliability, uptime appropriate to customer's needs and a fast rate of improvement. Additionally SRE’s will keep an ever-watchful eye on our systems capacity and performance.
Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation. On the SRE team, you’ll have the opportunity to manage the complex challenges of scale which are unique to Google Cloud, while using your expertise in coding, algorithms, complexity analysis and large-scale system design. SRE's culture of intellectual curiosity, problem solving and openness is key to its success. Our organization 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.
Gemini Enterprise Agent Platform (Vertex AI) is Google Cloud's flagship AI platform, offering a suite of tools and services for the entire ML lifecycle. This includes everything from data preparation and experimentation to training, tuning, and serving models at scale. Vertex AI supports platforms for third-party (3P) models, including popular open-source models from Model Garden and enterprise-grade models from partners like Anthropic.
In this role, you will ensure the rock-solid reliability and performance of the infrastructure underpinning these third-party model deployments, with a focus on our GKE-based serving stack.
Poland: zł364000 - zł373000 (PLN) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Engage in and improve the whole lifecycle of services from inception and design through to deployment, operation, and refinement.
- Support services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity planning, and launch reviews.
- Maintain services once they are live by measuring and monitoring availability, latency, and overall system health.
- Scale systems sustainably through mechanisms like automation and evolve systems by pushing for changes that improve reliability and velocity.
- Practice sustainable incident response and blameless post-mortems (post-mortem examinations).
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