Lead Data Engineer
Openkyber
Role: Senior/Lead Data Engineer
Location: Remote
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.
Key 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.
For applications and inquiries, contact:View email address on us.fitly.work
Vacancy posted 2 days ago
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