##
Company:
QUALCOMM SEMICONDUCTORES Y SISTEMAS AVANZADOS DE BAJA CALIFORNIA
## Job Area:
Engineering Group, Engineering Group u003e Software Engineering
General Summary:
Cloud Infrastructure u**** 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 u**** 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 u**** 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 u**** 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 u**** 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 u**** 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 u**** IaC: Terraform, Ansible, CloudFormation or equivalent
Containers: Kubernetes (production experience)
CI/CD: Jenkins and modern CI/CD practices
Data u**** 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 Kubernetes in production




using infrastructure as code
working with CI/CD systems
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field.
• 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail
or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers.

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