Cloud Platform SRE-Sunnyvale

Alibaba Cloud; Sunnyvale (CA); Presencial; USD 116.000 - 190.000; Jornada completa

Descripción de la vacante

Alibaba Cloud is seeking a reliability engineer to own production services and build automation tooling. You will work with SRE and R&D teams across time zones, applying software engineering practices to maintain availability and performance.

You will participate in 24/7 on-call, design intelligent operations (AIOps) with monitoring, incident response, and postmortems, using Kubernetes/Docker, Prometheus, Grafana, and IaC tooling.

Formación

• A degree in Computer Science or a related field.
• 3+ years of software development experience in Go, Python, Java, or a comparable language, with a track record of building tools, platforms, or services used by other engineers or running in production.
• 2+ years of experience operating production services, including participation in on-call rotations, monitoring/alerting, incident response, and release management.
• Proficiency with Linux environments, cloud infrastructure, and container orchestration (Kubernetes/Docker).
• Strong system diagnostic and problem-solving skills; comfort reading and debugging large distributed codebases and systems.
• Good communication skills and demonstrated ability to collaborate effectively across time zones with distributed teams.

Responsabilidades

• Design, develop, and maintain high-quality operations tooling and platforms (automation, monitoring/alerting, diagnostics, self-healing).
• Own reliability for a defined set of production services: release management, capacity planning, performance tuning, monitoring, and 24/7 on-call participation.
• Investigate and resolve production incidents; perform root-cause analysis and drive systemic fixes through code and automation.
• Identify and eliminate toil; measure and improve the engineering efficiency of operations workflows.
• Explore and integrate intelligent systems into operations workflows (AIOps), from alert triage to automated investigation.
• Collaborate with R&D and distributed teams on designs, releases, and reliability improvements.
• Perform daily operations and maintenance of applications, databases, and middleware, plus troubleshooting and customer inquiries.

Conocimientos

Go

Python

Java

On-call experience

Distributed systems

Educación

Bachelor’s degree in Computer Science or related field

Herramientas

Prometheus

Grafana

OpenTelemetry

Terraform

Ansible

ArgoCD

GitHub Actions

Descripción del empleo

The mission of the Cloud Intelligence Group SRE (Site Reliability Engineering) Team is to ensure the stability of production environments, enterprise-grade cloud data reliability, and service continuity for the Cloud Intelligence Group, achieving availability that exceeds 99.99%.

This role is a reliability engineer with a strong software-engineering core. You will own a defined set of production services and - more importantly - design and build the automation, tooling, and intelligent-operations capabilities that keep those services, and the teams running them, efficient and reliable. The scope of systems owned is focused; the engineering bar is high: we expect reliability problems to be solved by writing software.

Objectives of the role

• Building reliability tooling and platforms: Design and develop operations tooling and platforms: change automation, monitoring and alerting pipelines, diagnostic and self-healing capabilities, and emergency-collaboration tooling; Simplify reliability engineering for the wider organization through automation.
• Operating production services: Own the day-to-day reliability of a defined set of production services: deployment, release management, capacity and performance management, monitoring, and on-call support.
• On-call responsibilities: Participating in a 24/7 on-call rotation for the services owned; responding to alerts and customer issues within Service Level Agreement (SLA) timeframes, resolving problems proactively, and enhancing customer experience.
• Intelligent operations (AIOps): Apply intelligent systems/ML and natural language processing-based techniques to operations: anomaly detection, alert-noise reduction, automated investigation and triage workflows, and knowledge-driven root cause analysis.
• Stability governance and continuous improvement: Contribute to stability standards and metrics; drive root cause analysis and postmortem follow-through; eliminate toil systematically.
• Cross-timezone engineering collaboration: Partner with R&D and SRE colleagues distributed across time zones to align on designs, releases, and incident follow-ups.

Responsibilities

• Design, develop, and maintain high-quality operations tooling and platforms used by SRE and R&D teams (automation, monitoring/alerting, diagnostics, self-healing).
• Own reliability for a defined set of production services: release management, capacity planning, performance tuning, monitoring, and participation in a 24/7 on-call rotation.
• Investigate and resolve production incidents; perform root cause analysis and drive systemic fixes through code and automation.
• Identify and eliminate toil; measure and improve the engineering efficiency of operations workflows.
• Explore and integrate intelligent systems/natural language processing capabilities into operations workflows (AIOps), from alert triage to automated investigation.
• Collaborate with R&D teams and colleagues distributed across time zones on designs, releases, and reliability improvements.
• Perform daily operations and maintenance of applications, databases, and middleware, as well as troubleshooting and answering customer inquiries as needed.

Job Requirements

Minimum Qualifications

• A degree in Computer Science or a related field.
• 3+ years of software development experience in Go, Python, Java, or a comparable language, with a track record of building tools, platforms, or services used by other engineers or running in production.
• 2+ years of experience operating production services, including participation in on-call rotations, monitoring/alerting, incident response, and release management.
• Proficiency with Linux environments, cloud infrastructure, and container orchestration (Kubernetes/Docker).
• Strong system diagnostic and problem-solving skills; comfort reading and debugging large distributed codebases and systems.
• Good communication skills and demonstrated ability to collaborate effectively across time zones with distributed teams.

Preferred Qualifications

• Hands-on experience applying intelligent systems/ML or natural language processing-based techniques to operations (AIOps): anomaly detection, alert-noise reduction, agentic investigation/triage workflows, or natural language processing observability.
• In-depth understanding of monitoring/observability systems (Prometheus, Grafana, OpenTelemetry, logging/tracing stacks) and experience building on top of them.
• Experience with infrastructure-as-code and CI/CD (Terraform, Ansible, ArgoCD, GitHub Actions, or similar).
• Experience in designing and implementing distributed systems, message queues, or data pipelines.
• SRE or DevOps experience at a major cloud provider or an internet-scale company.

The pay range for this position at commencement of employment is expected to be between $116,400 and $190,000/year. However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience.

If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.