Senior Software Engineer-Engineering Enablement
Tasks
- Apply platform engineering and MLOps across machine learning lifecycle
- Build and maintain production critical services APIs and microservices
- Define architecture standards patterns and best practices for AI enabled distributed systems
- Design and support end to end systems for reliability observability performance security and cost efficiency
- Drive technical direction across teams and contribute to long term platform strategy
- Implement automation frameworks and distributed architectures using modern cloud technologies
- Improve development practices operational standards and system reliability
- Lead design development and evolution of scalable cloud native data and AI platforms
- Maintain CI CD pipelines infrastructure as code and automated testing
- Mentor engineers through design reviews and code reviews
Perks/Benefits
- Continuous learning culture
- Flexible work environment
- Inclusive workplace culture
- Mentorship and technical leadership
- Professional growth
- Remote work flexibility
Skills/Tech-stack
Automated testing | CI/CD | Cloud platform | Distributed Systems | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kafka | Kubernetes | MLOps | Microservices | Python | REST APIs | SQL | Software Architecture | Terraform | Vertex AI | “as-code”
Education
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