Note: The job is a remote job and is open to candidates in USA. Codebase Inc is seeking an experienced Site Reliability Engineer to support and operate highly available Snowflake- and AWS-based data and AI platforms. The role focuses on platform reliability, monitoring, incident management, automation, performance optimization, security, and operational support for data and Generative AI workloads.
Responsibilities
- Design, deploy, monitor, and maintain highly available AWS, Snowflake, and GenAI platforms
- Support Snowflake Cortex capabilities for AI/ML and Generative AI workloads
- Work with Amazon Bedrock to integrate and operate foundation models and GenAI applications
- Monitor infrastructure, applications, data pipelines, APIs, and AI workloads
- Define and monitor SLIs, SLOs, and SLAs for critical services
- Implement observability using CloudWatch, logs, metrics, traces, and alerting
- Troubleshoot production incidents and perform Root Cause Analysis (RCA)
- Participate in on-call / production support and incident management
- Automate repetitive operational activities using Python, Shell scripting, Terraform, or AWS services
- Build and maintain CI/CD pipelines for application, data, and AI workloads
- Optimize Snowflake compute usage, query performance, warehouse utilization, and cost
- Monitor and troubleshoot Snowflake data pipelines and workloads
- Support AWS services such as S3, Lambda, IAM, CloudWatch, ECS/EKS, API Gateway, and Secrets Manager
- Implement security, access controls, encryption, secrets management, and least-privilege IAM
- Monitor the reliability and performance of LLM/GenAI applications using Amazon Bedrock
- Track AI application metrics such as latency, throughput, errors, token usage, and cost
- Establish automated health checks, alerts, recovery mechanisms, and disaster-recovery procedures
- Collaborate with Data Engineers, ML Engineers, Developers, Architects, Product Managers, and business stakeholders
- Continuously improve platform reliability through automation, observability, capacity planning, and performance engineering
Skills
- 6- 12 years
- Hands-on exposure to Snowflake Cortex and Amazon Bedrock
Benefits
- Remote work
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