Senior Software Engineer, Site Reliability Engineering, Vertex AI 3P SRE

Senior Software Engineer, Site Reliability Engineering, Vertex AI 3P SRE

Google

Hexjobs Insights

Role involves ensuring reliability of Google Cloud services, managing system capacities, and developing software platforms. Requires expertise in coding and engineering best practices.

Schlüsselwörter

software engineering
systems engineering
reliability engineering
automation
capacity planning
monitoring
cloud services
machine learning
GKE
system design

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.

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 models, including popular open-source models from Model Garden and enterprise-grade models from key partners like Anthropic.

In this role, you will be at the forefront of ensuring the rock-solid reliability and performance of the infrastructure underpinning these third-party model deployments, with a focus on our GKE-based serving stack.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Responsibilities

  • Engage in and improve the whole lifecycle of servicesfrom 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).

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 in designing, analyzing, and troubleshooting large-scale distributed systems.
  • 2 years of experience leading projects and providing technical leadership.

Preferred qualifications:

  • Master's degree in Computer Science or Engineering or a related technical field.
  • Experience with Load Balancing, high-availability, and scalable system design.
  • Experience with Monitoring and Observability in Cloud and cluster management systems (e.g., Cloud Monitoring, Monarch, Automon).
  • Experience with Performance analysis and optimization (e.g., Dapper, pprof).
  • Experience with cluster management system and Google Cloud interactions.
Aufrufe: 4
Veröffentlichtvor etwa 21 Stunden
Läuft ab

Ähnliche Jobs, die für Sie von Interesse sein könnten

Basierend auf "Senior Software Engineer, Site Reliability Engineering, Vertex AI 3P SRE"

Keine Angebote gefunden, versuchen Sie, Ihre Suchkriterien zu ändern.