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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.
Job Responsibility:
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
Expected to independently develop a full software stack
Interact with system engineers to define system requirement and/or necessary requirements for automation
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
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
Contributes to new and existing technology options that support business goals
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
Requirements:
Bachelor's Degree Computer Science or Engineering
7-10 years Technical engineering experience
Work with Generative AI technologies to build and integrate advanced AI functionalities
Implement and manage micro-services architecture
Develop APIs to interact with Large Language Models (LLMs) and other AI components
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 software quality and scalability principles
Ability to innovate and optimize solutions in a fast-paced environment
Familiarity with the latest advancements in AI and ML technologies