Build Something to Be Proud Of.
Captivation Software has built a reputation on delivering exactly what customers need in a timely manner. Our team of engineers take pride in what they develop and are always innovating to provide the best solutions. Captivation Software is seeking a mid-level software engineer who will be accountable for designing, creating, and maintaining pipelines that facilitate machine-learning model training as well as large-scale inference in a Kubernetes-based environment. The Software Engineer's responsibilities will include the following:
- Development of data-aware model training pipelines to accommodate unique customer needs regarding model provenance
- Creation of scalable, Kubernetes-based inference pipelines that correctly process in-flight data
- Setting up and staying up-to-date with custom metrics to aid tuning of running pipelines
Requirements
Security Clearance:
- The candidate must currently hold a Top Secret / SCI U.S. Government security clearance with a favorable Polygraph, hence all candidates must be U.S. citizens
Minimum Qualifications:
- A Master's degree in Computer Science or a related field from an accredited college or university, plus three (3) years of experience as a Software Engineer, in programs and contracts of similar scope, type, and complexity.
- A Bachelor's degree in Computer Science or a related field from an accredited college or university, plus five (5) years of experience as a Software Engineer, in programs and contracts of similar scope, type, and complexity.
- Seven (7) years of experience as a Software Engineer, in programs and contracts of similar scope, type, and complexity..
Required Skills:
- Proficient in using the Linux CLI
- Experienced in developing with Python
- Knowledgeable in developing and deploying containerized applications
- Expert in writing and deploying Kubernetes resources
- Familiar with writing and deploying Helm charts
Desired Skills:
- Experience in developing with Go
- Familiarity with CI/CD concepts & implementations (Gitlab, Flux CD, etc.)
- Proficiency in working with, and debugging, GPU-enabled applications
- Experience in 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
- Familiarity with the Atlassian suite of tools
This position is only open to direct applicants. We won't consider candidates from third-party staffing/recruiting agencies.
Benefits
- Yearly Salary: $125,000 - $250,000 (Dependent on years of experience)
- Up to 20% 401k contribution (no match required)
- Above average hourly rates
- $3,000 Health Savings Account Contribution
- 5 Weeks Paid Vacation
- Company Paid Employee Medical / Dental / Vision Insurance / Life Insurance / Short-Term & Long-Term Disability / Accidental Death & Dismemberment