QUALCOMM SEMICONDUCTORES Y SISTEMAS AVANZADOS DE BAJA CALIFORNIA

Job Area

Engineering Group, Engineering Group > Software Engineering

General Summary

Cloud Infrastructure & Infrastructure as Code

- Design, build, and manage cloud infrastructure with a primary focus on AWS, integrated with OpenStack environments
- Build and maintain Infrastructure as Code using:
- Terraform
- Ansible
- Kubernetes (manifests / Helm)

- Design infrastructure solutions for:

- Scalability
- High availability
- Performance
- Reliability
- Cost efficiency

- Implement redundancy, failover, and disaster‐recovery patterns across services and regions
- Perform capacity planning based on performance metrics, usage trends, and utilization data

Kubernetes & Platform Reliability

- Operate and scale production Kubernetes clusters in large‐scale environments
- Partner with development and QA teams to:
- Improve system reliability and resiliency
- Automate scalability and availability mechanisms

- Apply SRE principles including:

- Service reliability ownership
- Proactive failure prevention
- Continuous improvement of operational processes

- Support microservices‐based and distributed system architectures

CI/CD, Automation & Operational Excellence

- Manage and evolve CI/CD pipelines (e.g., Jenkins)
- Automate infrastructure provisioning, configuration, and lifecycle management
- Write, maintain, and improve runbooks for operational processes
- Build automation to reduce manual intervention and operational toil
- Plan and execute infrastructure upgrades and maintenance activities




- Proactively identify and address technical and infrastructure debt

Data Platforms & Streaming Systems

- Operate, tune, and scale data and streaming platforms, including:
- Kafka, Zookeeper
- NiFi
- Elasticsearch
- MySQL, Vertica

- Diagnose and resolve performance and stability issues across data pipelines
- Ensure data platform reliability, throughput, and resilience at scale

AI‐Assisted SRE & Intelligent Automation

- Design and maintain knowledge‐driven automated runbooks and operational bots
- Develop AI‐assisted operational workflows, including:
- Incident analysis and summarization
- Intelligent diagnostics and remediation suggestions
- Automation of repetitive operational decision‐making

- Work with LLM‐based agent frameworks (e.g., Claude Agent SDK or similar):

- Integrate agents with logs, metrics, monitoring, and internal tools
- Implement guard‐railed, controlled‐action automation for production use

- Research and propose new concepts, tools, and AI‐driven approaches to improve reliability and efficiency

Monitoring, Reliability & Incident Management

- Design and operate monitoring and observability systems using:
- Prometheus
- Grafana
- ELK stack

- Improve alert quality, signal‐to‐noise ratio,



and troubleshooting efficiency
- Lead incident response activities, root cause analysis, and post‐incident reviews
- Support software engineers in debugging complex production issues across distributed systems
- Embed reliability, automation, and operational readiness into system design

Experience Required

- Extensive experience operating large‐scale distributed cloud systems
- Hands‐on experience with AWS in production environments
- Direct experience working with OpenStack
- Strong Linux background in large‐scale SaaS or production systems
- Ability to:
- Maintain and improve existing mission‐critical systems
- Prioritize and systematically reduce technical and infrastructure debt

- Strong understanding of designing for operational excellence, not just greenfield solutions

Required Skills

- Programming: Strong experience with Python and/or Go
- Cloud & IaC: Terraform, Ansible, CloudFormation or equivalent
- Containers: Kubernetes (production experience)
- CI/CD: Jenkins and modern CI/CD practices
- Data & Streaming: Kafka, NiFi, Elasticsearch, MySQL, Vertica, Zookeeper
- Observability: Prometheus, Grafana, ELK
- Infrastructure: Nginx, Linux internals
- AI / Automation (advantage):
- Experience integrating AI or LLMs into operational workflows
- Familiarity with agent‐based automation concepts

Experience Guidelines

3+ years in:

- overall experience managing infrastructure
- Linux administration in large‐scale environments
- operating production systems on AWS and/or OpenStack
- managing Ku

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