Lead Data Engineer

Role: Senior/Lead Data Engineer
Location: Remote

The engineer will be responsible for platform reliability, monitoring, incident management, automation, performance optimization, security, and operational support for data and Generative AI workloads.

• 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.

For applications and inquiries,