SageCor Solutions
Software Engineer 3 (IDN - 103)
SageCor Solutions - Corridor North, Maryland, United States
Work at SageCor Solutions
Overview
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Overview
Serving Maryland and the Greater Washington D.C. area, SageCor Solutions (SageCor) is a growing company bringing complete engineering services and true full lifecycle System Engineering services to areas requiring (or desiring) nationally-recognized expertise in high performance computing, large data analytics and cutting edge information technologies.
Active TS/SCI w/ Polygraph required.
Qualifications:
Master’s degree in computer science or related discipline from an
accredited college or university, plus five (5) years of experience as a SWE, in programs and
contracts of similar scope, type, and complexity.
OR
Bachelor’s degree in computer science or related discipline from an accredited college or
university, plus seven (7) years of experience as a SWE, in programs and contracts of similar
scope, type, and complexity
OR
Nine (9) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity.
Position Required Skills: - Experience with Linux system administration, CLI, and shell scripting - Experience with containerization technologies such as Docker, PodMan, and containerd - Experience deploying containerized services under Kubernetes or Docker Compose orchestration - Recent software development experience using Python, Golang - Familiar with RAG pipelines, LLMs, and embedding models - Experience with CI/CD principles, methodologies, and tools including GitLab CI - Experience using metrics and monitoring tools such as Prometheus and Grafana - Experience using Git Source Control System Position Desired Skills: - Experience working with and debugging GPU-enabled applications - Familiar with LLM orchestration such as Open API API - Experience with distributed processing technologies such as Spark, Dask, or Ray for data processing ETL workflows - Experience with SQL, Elasticsearch, and Vector databases - Experience with HTMX or Hyper-script - Experience with HW/SW aspects of multi-node, multi-GPU AI model training - Knowledge of AI inferencing solutions such as Nvidia NIM/TRITON, vLLM, and direct deployment (e.g. Ray) - Experience with the Atlassian suite of tools including Confluence and Jira Consistent with federal and state law where SageCor conducts business, SageCor Solutions provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, or any other protected class.
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Nine (9) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity.
Position Required Skills: - Experience with Linux system administration, CLI, and shell scripting - Experience with containerization technologies such as Docker, PodMan, and containerd - Experience deploying containerized services under Kubernetes or Docker Compose orchestration - Recent software development experience using Python, Golang - Familiar with RAG pipelines, LLMs, and embedding models - Experience with CI/CD principles, methodologies, and tools including GitLab CI - Experience using metrics and monitoring tools such as Prometheus and Grafana - Experience using Git Source Control System Position Desired Skills: - Experience working with and debugging GPU-enabled applications - Familiar with LLM orchestration such as Open API API - Experience with distributed processing technologies such as Spark, Dask, or Ray for data processing ETL workflows - Experience with SQL, Elasticsearch, and Vector databases - Experience with HTMX or Hyper-script - Experience with HW/SW aspects of multi-node, multi-GPU AI model training - Knowledge of AI inferencing solutions such as Nvidia NIM/TRITON, vLLM, and direct deployment (e.g. Ray) - Experience with the Atlassian suite of tools including Confluence and Jira Consistent with federal and state law where SageCor conducts business, SageCor Solutions provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, or any other protected class.
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