Related skills
docker aws snowflake python ci/cd📋 Description
- Implement internal tools and apps based on architectural direction into production-grade systems.
- Manage infrastructure for internal AI tools and data systems, including deployment, monitoring, and incidents.
- Write clean, well-documented code across required languages and frameworks; apply testing and version control.
- Evaluate and integrate AI tools and third-party services into internal workflows with security and cost in mind.
- Contribute to data quality by automated checks, pipeline failure investigations, and data ownership.
- Collaborate with stakeholders to understand requirements and deliver solutions that meet real needs.
🎯 Requirements
- 3 - 6 years of hands-on experience spanning software development, data engineering, and DevOps.
- Experience deploying AI solutions in production, including model integration and API usage.
- Proficiency in Python or another general-purpose language; able to learn new languages.
- Experience building data pipelines with APIs, relational DBs, and cloud data platforms.
- Working knowledge of DevOps: CI/CD, Docker, cloud infra (AWS, GCP, or Azure), and IaC.
- Ability to read existing codebases, assess quality, and refactor or rebuild as needed.
🎁 Benefits
- 100% Employer paid Health Benefits for Employees
- 50% - 70% Employer paid Health, Dental & Vision for dependents
- 401(k) with a generous company match
- Employee Stock Purchase Plan (ESPP) with discount
- Monthly cell phone stipend
- Flexible paid time off
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