Captivation has built a reputation on providing customers exactly what is needed in a timely manner. Our team of engineers take pride in what they develop and constantly innovate to provide the best solution. Captivation is looking for software developers who can get stuff done while making a difference in support of the mission to protect our country.
Description
Captivation Software is looking for a mid level software engineer who shall be responsible for designing, developing, and sustaining data pipelines that enable machine-learning model training as well as large scale inferencing in a Kubernetes environment.
Requirements
Security Clearance:
Must currently hold a Top Secret/SCI U.S. Government security clearance with a favorable Polygraph, therefore all candidates must be a U.S. citizen
Minimum Qualifications:
Master's degree in Computer Science or related discipline from an accredited college or university, plus three (3) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity.
Bachelor'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
Seven (7) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity.
Required Skills:
Experience using the Linux CLI and Linux tools
Experience developing with Python
Experience with developing high availability APIs and microservices
Experience with container technologies such as Docker and containers
Experience with container orchestration technologies such as Kubernetes
Experience creating Helm Charts for Kubernetes
Experience developing and deploying containerized applications for Kubernetes
Experience with CI/CD principles, methodologies, and tools including GitLab
Experience with Git Source Control System
Desired Skills:
Experience developing with Go
Experience with distributed processing solutions for building and maintaining data pipelines such as Spark
Experience working with and debugging GPU-enabled applications
Experience with metrics and monitoring tools such as Elasticsearch and Kibana
Experience with the Atlassian Suite of Tools including Jira and Confluence
Understanding of NLP Concepts including tokenization, embeddings and transformers
Familiar with LLMs (Large Language Models) such as GPT-4, Mistrel and Llama
Familiar with Vector databases including Quadrant
This position is open for direct hires only. We will not consider candidates from third party staffing/recruiting firms.
Benefits
Annual Salary: $130,000 - $270,000 (Depends on the Years of Experience)
Up to 20% 401k contribution (No Matching Required and Vested from Day 1)
Above Market Hourly Rates
$3,200 HSA Contribution
5 Weeks Paid Time Off
Company Paid Employee Medical/Dental/Vision Insurance/Life Insurance/Short-Term & Long-Term Disability/AD&D