Staff Engineer - DevOps/Site Reliability Engineering (SRE)

Job Area: Engineering Group, Engineering Group > Software Engineering

General Summary:

We are looking for a talented, motivated, and experienced Cloud DevOps and Site Reliability Engineer (SRE). As part of the IoT (Internet of Things) team you will be working on the next generation of IoT products. This role includes research and analysis of SW solutions for next generation IoT products. Develop prototypes and proof of concepts to evaluate incremental as well as radical new architectures. Develop SW components that are scalable, available, and secure.

Cloud engineers within Qualcomm are dedicated to building, evolving, and operating rapidly changing, secure and resilient systems at scale. Our engineers participate in the entire service lifecycle from design through the development and testing process to production support and operations. Our practice is to bring the best-of-show development techniques to operational tasks.

Responsibilities

Serve as an advocate for quality practices including the development of automated testing to improve business processes

Act as a critical part of a multi-team effort to deliver, manage and maintain configuration automation to meet business needs.

Create and maintain configuration standards for software and infrastructure.

Manage CI & CD tools and pipelines as a partner to development and QA teams.

Develop and socialize operational standards for teams throughout engineering.

Recommend, develop and implement system enhancements that will improve the performance and reliability of the system including installing, upgrading/patching, monitoring, problem resolution, configuration management and security.

Oversight of critical incident and major system escalations from initiation to resolution.

Create mechanisms/architectures that enable fault tolerance and rapid recovery from failure.

Participate in a rotating on-call escalation service.

Create and maintain configuration standards for software and infrastructure.

Capacity Planning and Chaos Engineering.

Strong communication skills, verbal and written.

Qualifications

Bachelors degree in a technical field, or equivalent experience

10+ years experience in an operational environment, preferred

Technical Requirements

Experience with Linux Operating Systems in a production and development environments

Experience in network and server engineering

Experience with automation/configuration management such as Ansible, Chef, Puppet or equivalent

Experience with workflow data pipeline management services such as Airflow and/or Luigi

Expertise on the latest Cloud compute, load balancing and scaling, storage, networking, security, and virtualization technologies with Cloud providers such as GCP (preferred), AWS and/or Azure.

Demonstrated experience installing, operating, and troubleshooting a variety of open- source technologies

Experience with relational and non-relational databases

Practical experience developing software or meeting operational needs with code and scripting (Bash, Python, Perl, Ruby, and/or Java)

Experience with software quality principles and associated tools for testing and analysis.

Knowledge of CI & CD practices and supporting tools (Jenkins, Bamboo, or similar)

Experience with IaC Technologies such as Terraform, CloudFormation or Pulumi

Experience with PaaS technologies such as containers, container orchestration and scheduling, service registration / discovery and monitoring (Docker, Kubernetes, etc.)

Load, scalability, systems, or performance testing experience

Observability & Monitoring expertise to dissect data to get to the root cause of system and infrastructure issues.

Minimum Qualifications:

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.

OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.

OR
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.

2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

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