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 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.

Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.

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.

Equal Opportunity Employer Statement

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.

Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process.

You may e-mail or call Qualcomm's toll-free number found here.

Qualcomm is also committed to making our workplace accessible for individuals with disabilities.

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