Engineer, Software – Platform Engineering & Applied AI
USD 92K-166K Entry-level Full Time
Tasks
- Apply secure software development practices
- Automate deployment testing monitoring and operational workflows
- Build internal tools and automation to reduce manual effort
- Build secure scalable APIs and integrations
- Communicate technical concepts to technical and non-technical stakeholders
- Contribute to AI-enabled engineering automation
- Create technical documentation and share knowledge
- Develop test deploy support cloud-native applications
- Evaluate AI applications for productivity while following review and governance
- Improve software quality with automated testing code reviews documentation CI practices
- Modernize platforms to improve scalability maintainability operational efficiency
- Participate in software development lifecycle design implementation testing deployment monitoring
- Participate in vulnerability remediation
- Support proof-of-concept initiatives with architects and engineers
- Troubleshoot production issues and collaborate with teams
- Use AI assisted development tools to improve workflows
Perks/Benefits
- 401k
- Employee stock purchase plan
- Home internet discounts
- Mobile service discounts
- Money coaching
- Paid Holidays
- Paid parental leave
- Paid time off
- Stock grant
- Tuition assistance
Skills/Tech-stack
AWS | Automated testing | CI Automation | CI/CD | Databricks | DevSecOps | Distributed Systems | Docker | GitLab CI | GitLab CI/CD | GraphQL | Java | JavaScript | Kafka | Kubernetes | Machine Learning | Microservices | Monitoring | OAuth2 | Observability | OpenAPI | Prompt engineering | Python | REST API | SQL | Snowflake | Spark | Spring Boot | Spring Security | TypeScript
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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