Senior Software Engineer 3 - (AI, Python, Kubernetes)

Akina•Annapolis Junction, MD

4d•Onsite

About The Position

Join us in building the next generation of AI infrastructure that will power innovation across the customer organization. We're seeking a software engineer to support our AI infrastructure team. In this role, you'll help build and maintain the foundation for customer AI capabilities, while supporting a broader ecosystem of AI-enabled applications. Your focus will be developing and maintaining high-quality tools and applications that let the customer base use AI seamlessly and efficiently. Requirements shift quickly as mission needs adapt and new technology develops, so you'll need to continue to grow and hone your skills and learn to turn loosely defined problems into solutions.

Requirements

Expertise in UI/UX principles.
Significant experience with using LLMs as a part of a code solution workflow.
Ability to learn new technologies quickly.
Strong communication skills and willingness to ask questions.
Mastery of Python.
Demonstrate a willingness to learn, lead a team, and manage multiple junior developers.
Significant experience developing and maintaining production software.
Familiarity with AWS or other cloud service providers.
Experience with Kubernetes/Helm.
Familiarity with Argo CD and/or other CI/CD frameworks.
Experience supporting production software using Site Reliability Engineering (SRE) best practices.
Experience with Docker and containerization.
A minimum of twelve (12) years of experience as a SWE in programs and contracts of similar scope, type, and complexity is required.
Bachelor's degree in Computer Science or related discipline from an accredited college or university is required.
Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor's degree.

Nice To Haves

Experience with LLM UI Open-Source software such as OpenWebUI
Proficiency with AWS or other cloud service providers.
Proficiency with Kubernetes/Helm.
Proficiency with Argo CD and/or other CI/CD frameworks.
Extensive Experience supporting production software using Site Reliability Engineering (SRE) best practices.
Proficiency with Docker and containerization.
Extensive experience with customer requirements elicitation, an expert in community outreach and integration.
Experience with LLM model hosting.

Responsibilities

Develop high-quality AI tools and applications for the workforce to use
Ensure high availability, reliability, performance, and security of AI tools.
Modify FOSS (Free and Open-Source Software) to accommodate the customer’s use cases.
Regularly engage with customers, conducting requirements elicitation and developing solutions to address their needs.
Maintain existing customer-facing infrastructure and applications, ensuring reliable services.
Serve as a technical lead for AI Tools and Applications initiatives, coordinating work across integrated teams.
Conduct regular one-on-ones and provide coaching, feedback, and support for assigned team members.
Act as the team point of contact (POC) for contract administration functions.
Navigate ambiguity and define solutions for complex, underspecified systems and requirements.
Establish new technical policies, standards, and governance frameworks where gaps exist.
Drive adoption of new technologies and practices across engineering teams.
Implement and oversee monitoring, logging, and observability solutions for AI services.
Ensure high availability, reliability, performance, and security of components.
Communicate effectively with stakeholders at multiple organizational levels.