Principal Engineer, Software Full Stack

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Job Overview The Principal Software Engineer works with a team of other software engineers, network and systems engineers to design, implement, and deploy software which meet customer's requirements, scales easily, removes the limitations of traditional networking solutions, and supports deployment in highly available environments The Principal Software Engineer at times leads or at a minimum is an active participant in architecture and design of various software components focused on creating applications that leverage technologies such as virtualization, micro services, SDN, NFV, and Big Data platforms and technologies. They work on technical assignments that are difficult, requiring judgment in resolving issues or in making recommendations. They determine methods and procedures on new assignments and work on assignments requiring considerable judgment and initiative. They understand the implications of their work and make recommendations for solutions. They normally receive little instruction on daily work, and only require general instructions on newly introduced assignments. At times, they may be an informal team leader. We pride ourselves on encouraging a culture of innovation, advocating for agile methodologies, and promoting transparency in all that we do. Join us in embodying the spirit of the 'Un-carrier' and make a tangible impact! Our team is dynamic where no day is the same, and we are diverse and inclusive passionate about growth and transformation. If you're up to the challenge, apply today! Job Responsibilities: Technical Engineering Services • Drives engineering projects by developing software solutions; conducting tests and inspections; preparing reports and calculations. Expected to supervise base and associate level engineers as needed. • Understands system protocols, how systems operate and data flows. Aware of current technology benefits. Expected to independently develop a full software stack. Understands the building blocks, interactions, dependencies, and tools required to complete software and automation work. Independent study of current technology is expected. Interact with system engineers to define system requirement and/or necessary requirements for automation. Innovation • Contributes to designs to implement new ideas which utilize new frameworks to improve an existing or new system/process/service. • Review existing designs and processes to highlight more efficient ways to complete existing workload more effectively through industry perspectives. • Understands the creation of company IPR. Technical Leadership • Collaborates with technical teams and utilizes system expertise to deliver technical solutions. • Continuously learns and teaches others existing and new technologies. • Contributes to the development of others through mentoring or in house workshops and learning sessions. Technology Strategy • Contributes to new and existing technology options that support business goals. • Understands current technology that supports business goals. Understands system protocols, how systems operate and data flows. Aware of current technology benefits. Expected to independently develop a full software stack. Understands the building blocks, interactions, dependencies, and tools required to complete software and automation work. Independent study of current technology is expected. Interact with system engineers to define system requirement and/or necessary requirements for automation. Technical Writing • Writes basic documentation on how technology works. Creates clear documentation for new code and systems used. • Documenting systems designs, presentations, and business requirements for consumption and consideration at the manager level. Education: • Bachelor's Degree Computer Science or Engineering (Required) Work Experience: • 7-10 years Technical engineering experience. (Required) • Work with Generative AI technologies to build and integrate advanced AI functionalities. • Implement and manage micro-services architecture to ensure scalability and flexibility of AI solutions. • Develop APIs to interact with Large Language Models (LLMs) and other AI components. Preferred/Required Skills: • Experience with Cloud services(Azure preferred) and platform knowledge • Experience with developing and deploying applications in Kubernetes • Proficiency in implementing and managing micro-services architecture for scalable solutions. • Extensive experience in full-stack development, including both front-end and back-end technologies. • Strong understanding of ...