Senior DevOps Engineer

Qualcomm•San Diego, CA
•$117,800 - $176,600

About The Position

The SAGA software team within Qualcomm’s Product and Tools Group develops software products, services, platforms, and cloud solutions that enable critical workflows for Qualcomm customers, equipment manufacturers, independent software vendors, application developers, and internal engineering teams. Its engineering environment includes software development, cloud infrastructure, developer platforms, CI/CD, containers, observability, automation, and large-scale distributed systems, with a focus on reliability, scalability, security, automation, and operational efficiency. The Senior DevOps Engineer designs and operates platforms and tooling that help engineering teams build, deploy, monitor, and operate software efficiently at scale. The role combines software engineering with hands-on cloud infrastructure, platform engineering, automation, and production operations. It includes developing and operating cloud and container platforms, CI/CD systems, infrastructure as code, and production support practices, while partnering with application teams and guiding engineers in DevOps and platform engineering practices.

Requirements

  • At least 3 years of experience in Software Engineering, DevOps, Site Reliability Engineering (SRE), Platform Engineering, Cloud Engineering, or related disciplines.
  • Hands-on experience with public cloud environments such as AWS and/or Azure, including deployment, operations, networking, security, and scaling.
  • Experience with Kubernetes and Docker, including deployment and operation of containerized applications.
  • Experience designing and maintaining CI/CD systems using technologies such as Jenkins, GitHub Actions, GitLab CI/CD, AWS CodeBuild/CodePipeline, or Azure DevOps.
  • Experience with Infrastructure as Code and configuration management using technologies such as Terraform/OpenTofu, CloudFormation, and Ansible.
  • Proficiency with at least one programming or scripting language such as Python, Go, PowerShell, or Bash.
  • Knowledge of Git-based software development workflows, branching strategies, code review, and release automation.
  • Understanding of cloud and enterprise networking concepts, including DNS, load balancing, proxies, firewalls, TLS, and network connectivity.
  • Understanding of distributed systems, APIs, microservices, and cloud-native application architectures.
  • Experience with monitoring and observability platforms such as Grafana, Prometheus/Mimir, Loki, OpenTelemetry, Splunk, Elasticsearch, or similar technologies.
  • Experience troubleshooting production systems using logs, metrics, traces, operating-system tooling, and cloud-native diagnostics.
  • Strong problem-solving skills and ability to independently analyze complex technical problems across multiple layers of the technology stack.
  • Bachelor’s degree in Engineering, Information Systems, Computer Science, or a related field and 2+ years of Software Engineering or related work experience; or a master’s degree in a related field and 1+ year of related work experience; or a PhD in a related field.
  • At least 2 years of academic or work experience with a programming language such as C, C++, Java, or Python.

Nice To Haves

  • Experience designing or operating large-scale Kubernetes-based platforms.
  • Experience building internal developer platforms or self-service infrastructure capabilities.
  • Experience with cloud security, IAM, secrets management, workload identity, and security automation.
  • Experience with OpenTelemetry and modern observability architectures involving metrics, logs, and distributed tracing.
  • Experience with messaging and streaming technologies such as Kafka, Kinesis, Event Hubs, or RabbitMQ.
  • Experience with SQL and NoSQL technologies and managed cloud data services.
  • Experience with microservices, REST APIs, event-driven architectures, and serverless technologies.
  • Experience administering and troubleshooting Linux and Windows systems.
  • Experience automating cloud governance, compliance, cost optimization, and operational processes.
  • Experience working within large, geographically distributed engineering organizations.
  • AWS or Azure certifications such as AWS Solutions Architect, AWS DevOps Engineer, Azure Administrator, Azure Solutions Architect, or Azure DevOps Engineer.
  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • At least 3 years of professional experience in Software Engineering, DevOps, Cloud Engineering, SRE, Platform Engineering, or related work.
  • Demonstrated experience developing automation and operating production software or infrastructure environments.

Responsibilities

  • Design, build, automate, and operate highly available and scalable infrastructure across AWS and Azure.
  • Develop and maintain CI/CD platforms and pipelines that automate software build, testing, security validation, deployment, and release processes.
  • Design and operate containerized application platforms using Docker and Kubernetes.
  • Build and maintain infrastructure using Infrastructure as Code technologies such as Terraform/OpenTofu, CloudFormation, and Ansible.
  • Develop software, scripts, tooling, and automation using languages such as Python, Go, PowerShell, Bash, or similar technologies.
  • Partner with application development teams to define infrastructure, deployment, scalability, reliability, and operational requirements.
  • Improve platform reliability through capacity planning, performance optimization, monitoring, automation, and elimination of repetitive operational work.
  • Troubleshoot complex production and infrastructure issues across applications, containers, operating systems, networking, cloud services, and distributed systems.
  • Implement cloud infrastructure and platform solutions that follow organizational security, identity, governance, and compliance requirements.
  • Participate in production support and incident response, including troubleshooting, root-cause analysis, and development of preventative automation.
  • Evaluate and introduce technologies that improve developer productivity, platform reliability, security, scalability, and operational efficiency.
  • Provide technical guidance and mentorship to engineers and help establish DevOps and platform engineering best practices across teams.

Benefits

  • Competitive annual discretionary bonus program.
  • Opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for the annual bonus).
  • Competitive benefits package designed to support employees at work, at home, and at play.
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