Technical Lead

Job Description

Position Title:

 Technical Lead

Work Location:

Raleigh, NC - Hybrid (3 Days Onsite in every week)

Assignment Duration:

7 months (possibility of extension)

Job Description:

Responsibilities:

Job Summary:

Program Manager responsible for driving end to end delivery of data driven products that apply Python, natural language processing, and large language models to enterprise use cases in a hybrid work model. The role coordinates cross functional teams, manages complex roadmaps, and ensures that solutions are reliable, ethical, secure, and aligned with business outcomes in a scalable and sustainable manner.

Required Skills:

Python, Natural Language Processing, Large Language Model (LLM)

Responsibilities:

Strong knowledge of software development methodologies Agile, Waterfall and modern engineering best practices Strong programming skills in languages such as Python, Java J2EE, JavaScript, SQL, and modern frameworks Experience designing and building scalable systems, including APIs, microservices, and distributed architectures Proficiency in CI CD pipeline design, implementation, and maintenance, including automated testing, deployment, and release management Experience with Git-based workflows and GitHub-based automation, including GitHub Actions and GitHub agent capabilities Experience with AWS cloud services e.g., EC2, S3, Lambda, RDS, EKS &ECS and building cloud-native applications Understanding of cloud architecture patterns, including scalability, resiliency, and cost optimization Platform engineering experience, including building and maintaining reusable infrastructure, developer platforms, and self-service tooling e.g., Infrastructure as Code using Terraform CloudFormation Familiarity with containerization and orchestration technologies e.g., Docker, Kubernetes Proficiency in designing and implementing AI-powered systems, including LLM-based applications, agent frameworks, and workflow orchestration Experience developing, evaluating, and deploying machine learning models supervised, unsupervised, or deep learning Strong understanding of statistical analysis, experimentation, and model evaluation techniques Experience with data processing and analysis tools e.g., Pandas, Spark, or equivalent Advanced proficiency in data modeling, data manipulation, and optimization techniques Strong knowledge of normalized and dimensional data modeling principles Solid understanding of multiple data storage systems relational, NoSQL, and data lake architectures Familiarity with MLOps practices, including model lifecycle management, monitoring, and observability Knowledge of test-driven development and modern testing strategies across both data and application layers Strong understanding of prompt engineering, evaluation strategies, and reliability considerations for AI systems Strong research and problem solving skills, including evaluating and applying emerging technologies Ability to design, document, and implement complex system and data components Strong communication skills, with the ability to work effectively across technical and non-technical audiences. Applicant Notices & Disclaimers For information on benefits, equal opportunity employment, and location-specific applicant notices, click here At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position's starting pay is: $55.00/daily.