Principal Software Engineer (Gradient AI)
Tasks
- Automate operations with infrastructure as code and CI CD pipelines
- Build agent development experience
- Collaborate with product and business leaders on technical roadmaps
- Define testing deployment and observability best practices
- Design and evolve agent platform architecture
- Develop internal agent tooling for engineering efficiency
- Establish technical standards and coding practices
- Guide customer facing teams for AI modernization initiatives
- Lead reliability performance scaling operations
- Manage benchmarking system
- Mentor engineers and shape engineering culture
- Optimize scalability reliability low latency cost
- Oversee availability performance tuning failover capacity planning disaster recovery
- Serve as subject matter expert for agent development paradigms and productization
Perks/Benefits
- Conference reimbursement
- Education reimbursement
- Employee assistance program
- Equity compensation
- Flexible time off
- LinkedIn Learning access
- Local Employee Meetups
- Remote work
- Training reimbursement
Skills/Tech-stack
Agent architecture | Artificial Intelligence | Benchmarking | CI/CD | Capacity Planning | Cloud Computing | Continuous Deployment | Continuous integration | Deployment Automation | Disaster Recovery | Failover | GenAI | Infrastructure as Code | Low Latency | Low-Latency Systems | Machine Learning | Mentoring | Microservices | Monitoring | Observability | Performance Tuning | Reliability Engineering | Scalability | Software Architecture | Technical leadership | Testing | “as-code”
Education
N/A
Regions
Countries
States
Cities
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