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Build Something to Be Proud Of.

Captivation Software 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 Software is looking for a mid level software engineer who will be responsible for designing, developing, and sustaining pipelines that enable machine-learning model training as well as large scale inference in a Kubernetes-based environment. The Software Engineers tasking shall include the following:

• Development of data-aware model training pipelines to facilitate unique customer requirements surrounding model provenance
• Development of scalable, Kubernetes-based inference pipelines that compliantly handle in-flight data
• Configuring and maintaining custom metrics to enable tuning of running pipelines

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
• Experience developing with Python
• Experience developing and deploying containerized applications
• Experience writing and deploying Kubernetes resources
• Experience writing and deploying Helm charts

Desired Skills:

• Experience developing with Go
• Experience with CI/CD concepts & implementations (Gitlab, Flux CD, etc)
• Experience working with, and debugging, GPU-enabled applications
• Experience using a machine-learning framework (PyTorch, TensorFlow, etc)
• Experience with other ML pipelines/frameworks like KubeFlow, NeMo, PyTorch Lightning, etc.
• Experience with metrics and monitoring tools such as Prometheus and Grafana
• Experience with the Atlassian suite of tools

This position is open for direct hires only. We will not consider candidates from third party staffing/recruiting firms.

Benefits

• Annual Salary: $125,000 - $250,000 (Depends on the years of experience)
• Up to 20% 401k contribution (no matching required)
• Above market hourly rates
• $3,000 HSA Contribution
• 5 Weeks Paid Time Off
• Company Paid Employee Medical / Dental / Vision Insurance / Life Insurance / Short-Term & Long-Term Disability / AD&D