Job Description
Job Summary This posting has been extended beyond the anticipated close date. Spectrum's Product and Technology team creates, develops, and operates the nation's fastest mobile service, most reliable internet service, most viewed live TV app, and the most advanced WiFi, serving nearly 100 million users and 500 million devices. We are transforming the next era of connectivity and entertainment experiences. The diversity of experience available within Spectrum's Product and Technology team is unmatched and there are opportunities to grow your career as a designer, architect, engineer, developer, operator, or data scientist. We are creative, disciplined, hard-working, complex-problem solvers that believe in collaborating to deliver the highest quality customer experience.
Responsibilities BE PART OF THE CONNECTION Are you prepared to lead our organization's on-premise and cloud strategy as a Principal Engineer, utilizing your deep understanding of both infrastructures? In this pivotal role, you will manage and deploy hybrid environments in lab settings, ensuring integration between on-premise data centers and AWS. Your expertise will modernize infrastructure, automate workflows using MLOps frameworks like Kubeflow and MLflow, and optimize costs and performance across environments. This position offers the chance to work collaboratively in a fast-paced environment, driving innovation, efficiency, and scalability within a hybrid cloud landscape.
WHAT OUR PRINCIPAL ENGINEERS ENJOY MOST In addition to the core responsibilities and requirements for a Principal Engineer I, duties and requirements specific to the Multi Cloud Infrastructure role include:
- Collaborate with production and architecture teams to implement and optimize on-prem and multi-cloud infrastructure solutions
- Develop and manage Kubernetes-based infrastructure for scalable and available applications across hybrid environments
- Automate workflows using Ansible, GitOps, and CI/CD pipelines to enhance operational efficiency
- Knowledge of MLOps best practices for effective AI/ML workload management across hybrid infrastructures
- Lead cost optimization efforts to align cloud resource usage with financial goals (FinOps)
- Ensure compliance, security, and governance across on-prem and cloud environments using security tools
- Mentor engineering teams, fostering collaboration, accountability, and continuous learning
- Stay updated on emerging technologies and industry trends to maintain competitive and efficient infrastructure
Qualifications WHAT YOU'LL BRING TO SPECTRUM Required Qualifications
- Education:
- Masters or Bachelor's Degree in Engineering or related field or related work experience
- Experience:
- 5+ years engineering work experience
- 5+ years project management work experience
- Skills:
- Extensive experience with Kubernetes, container orchestration and cloud-native architectures
- Strong experience with automation tools such as Ansible, GitOps, Jenkins, or similar.
- Experience with RedHat OpenShift.
- Strong understanding of cost optimization techniques, FinOps, and multi-cloud governance models.
- In-depth knowledge of security and compliance best practices in both on-prem and cloud environments.
- Proficiency in Infrastructure as a service, container as a service and platform as a service.
- Basic knowledge of related industry specifications and standards IEEE, ANSI, Fiber (Multimode, Single mode, UTP, etc.), Bridging, Switching, Routing, Ethernet and Transport technologies and protocols
- Experience in MLOps frameworks and managing AI/ML workloads across hybrid infrastructures.
- Basic knowledge in network design, network architecture, protocols and network topology
- Basic knowledge in TCP/IP and the OSI Model
- Basic knowledge in using ticketing and software tools to support the current operations.
- Basic knowledge of network devices and basic network appliances Basic knowledge of network designing software, such as Visio
- Excellent communication skills and the ability to work well with all levels of business users in a professional manner.
- Extensive experience with collaborating and building team consensus when interacting with both the leadership and the implementation teams.
- Ability to read, write and speak the English language
- Ability to use personal computer and software applications
- Ability to perform duties in a very fast pace environment and ability to learn new technology quickly
- Travel Ability: Office environment
- Schedule:
- Full time
- This position is eligible for our Hybrid Work Policy. Eligible employees can work from home up to one day each week.
Preferred Qualifications: - Experience:
- Certification in cloud technologies (AWS) or Kubernetes (CKA/CKAD).
- Experience with on-prem cloud security tools such as Qualys, Kenna, OPA, Kyverno, or similar.
- Familiarity with AI/ML frameworks (TensorFlow, PyTorch, etc.) and MLOps tools (Kubeflow, MLflow, AWS Sage Maker)
- 5+ years of experience in Lab infrastructure engineering, with a focus on on-prem and multi-cloud environments.
SPECTRUM CONNECTS YOU TO MORE - Innovative Tools & Tech: Work with high-performing software and applications on the forefront of the digital telecommunications industry.
- Dynamic Growth: The growth of our industry and evolving technology will power your career as you move up or around the company.
- Supportive Teams: Who you are matters here. And, we aim to foster an inclusive workplace where every person is empowered to bring their best ideas.
- Total Rewards: See all the ways we invest in you-at work and in life
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#LI-RC1 Spectrum
Job Tags
Full time, Work experience placement, Work at office, 1 day per week,