What are the responsibilities and job description for the Software Engineer / Technical Architect position at Strategic Staffing Solutions?
Senior Software Engineer / Technical Architect (Python, AI/LLM, Kubernetes)
Charlotte, NC (Hybrid 3 Days Onsite)
? Contract: 12 Months (Potential Extension/Conversion)
Overview
We are seeking a highly skilled Senior Software Engineer / Technical Architect to design and deliver modern, scalable backend systems while driving AI-powered innovation.
This role combines hands-on engineering, system architecture, and AI/LLM solutioning, making it ideal for engineers who enjoy solving complex problems, building production-grade systems, and working with cutting-edge technologies such as GPT, Gemini, and agent-based frameworks.
Key Responsibilities
- Define and drive target architectures, reference designs, and technical roadmaps
- Design and deliver scalable backend systems using Python and/or Java
- Build and maintain API-driven microservices deployed on Kubernetes/OpenShift (OCP)
- Develop LLM-powered solutions using tools such as GPT, Gemini, and RAG frameworks
- Build agent-based workflows leveraging technologies like LangChain and Vertex AI
- Translate business requirements into secure, scalable, and cost-efficient technical solutions
- Lead architecture reviews and drive cross-domain system integration
- Own end-to-end SDLC, including design, development, testing, and deployment
- Implement observability and reliability best practices (SLOs, SLIs, monitoring, incident readiness)
- Embed security and compliance controls into systems and development pipelines
Required Qualifications
- 5 years of software engineering experience (enterprise-scale preferred)
- Strong proficiency in Python and/or Java
- Hands-on experience building APIs and distributed systems
- Experience with Kubernetes, OpenShift (OCP), or containerized environments
- Strong background in system design and architecture
- Ability to operate independently and solve complex, ambiguous problems
- Experience working across the full software development lifecycle (SDLC)
Preferred Qualifications
- Experience with LLMs (GPT, Gemini) and AI/ML concepts
- Hands-on experience with RAG (Retrieval-Augmented Generation) and LangChain
- Exposure to Vertex AI or similar AI platforms
- Familiarity with observability tools (Prometheus, OpenTelemetry)
- Experience in financial services or regulated environments
Work Environment
- Hybrid: 3 days onsite in Charlotte, NC
- Highly collaborative, engineering-driven culture
- Fast-paced environment focused on innovation and modern technologies