enior/ Lead Data Engineer- Snowflake Cotex+ AWS Bedrock

Han IT Staffing

Location not stated
Remote
Staff / Principal
8 hours ago

Snowflake
AWS Bedrock
AWS
AI
Cortex
Amazon Bedrock
Machine Learning
AI/ML
CloudWatch
Python
Terraform
CI/CD
IAM
ECS
EKS
API Gateway
Disaster Recovery

8 hours ago

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Senior/ Lead Data Engineer- Snowflake Cotex+ AWS Bedrock- R01571495

Location
Remote

We are
looking for an experienced Site Reliability Engineer (SRE) to support and
operate highly available Snowflake and AWS-based data and AI platforms, with
hands-on exposure to Snowflake Cortex and Amazon Bedrock.

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.

enior/ Lead Data Engineer- Snowflake Cotex+ AWS Bedrock · Han IT Staffing

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