Company QUALCOMM SEMICONDUCTORES Y SISTEMAS AVANZADOS DE BAJA CALIFORNIA
Software Engineering
General Summary Lead design, build, and manage cloud infrastructure and operate large‑scale distributed systems at Qualcomm. Work across cloud, Kubernetes, CI/CD, data platforms, AI‑assisted SRE, and monitoring to deliver reliable, scalable, cost‑efficient services.
Cloud Infrastructure & Infrastructure as Code
Design, build, and manage cloud infrastructure with a primary focus on AWS, integrated with Open Stack environments
Build and maintain Infrastructure as Code using Terraform, Ansible, and Kubernetes manifests/Helm
Design infrastructure solutions for scalability, high availability, performance, reliability, and 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, resiliency, and automate scalability and availability mechanisms
Apply SRE principles, including service reliability ownership, proactive failure prevention, continuous improvement of operational processes, and 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, Ni Fi,



Elasticsearch, My SQL, and 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, and automation of repetitive operational decision‑making
Work with LLM‑based agent frameworks (e.g., Claude Agent SDK), integrating agents with logs, metrics, monitoring, and internal tools, implementing guard‑railed, controlled‑action automation for production use, and researching new AI‑driven approaches to improve reliability and efficiency
Monitoring, Reliability & Incident Management
Design and operate monitoring and observability systems using Prometheus, Grafana, and 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 Open Stack
Strong Linux background in large‑scale Saa S or production systems




Ability to maintain and improve existing mission‑critical systems, prioritize and systematically reduce technical and infrastructure debt, and design for operational excellence
Required Skills
Programming: Strong experience with Python and/or Go
Cloud & Ia C: Terraform, Ansible, Cloud Formation or equivalent
Containers: Kubernetes (production experience)
CI/CD: Jenkins and modern CI/CD practices
Data & Streaming: Kafka, Ni Fi, Elasticsearch, My SQL, 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 overall experience managing infrastructure
3+ years Linux administration in large‑scale environments
3+ years operating production systems on AWS and/or Open Stack
3+ years managing Kubernetes in production
3+ years using infrastructure as code
3+ years 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 Ph D in Engineering, Information Systems, Computer Science, or related field.
2+ years of academic or work experience with programming languages 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, Qualcomm is committed to providing an accessible process. For accommodations, contact disability‑accomodations@ or call Qualcomm’s toll‑free number.

📌 Site reliability engineer (sre) – regional multi project platform (Centro-Norte)
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📍 Centro-Norte