Performance & Data Optimization Engineer

FULLY REMOTE

To be considered for an interview, please make sure your application is full in line with the job specs as found below.

ScolerTec is seeking multiple Performance & Data Optimization Engineers to support a large-scale cloud data modernization program. This role focuses on optimizing cloud data-platform performance, database and SQL efficiency, workload scalability, reliability, observability, and cost.

Key Responsibilities

• Tune SQL, databases, ETL/ELT pipelines, data models, and cloud data workloads.
• Optimize query execution, indexing, partitioning, caching, and clustering.
• Diagnose CPU, memory, disk, network, I/O, concurrency, and pipeline bottlenecks.
• Establish performance baselines, SLAs, dashboards, monitoring, and alerts.
• Perform workload analysis, capacity planning, scaling, and cost optimization.
• Support AWS infrastructure and modern data platforms.
• Implement Terraform/IaC and CI/CD automation.
• Support DevSecOps, secrets management, security scanning, HA/DR, and automated failover.
• Perform log/metric analysis and full-stack troubleshooting.
• Partner with DBAs, platform engineers, architects, and data engineers.

Qualifications

• 5+ years systems/cloud/performance engineering.
• Strong AWS experience.
• Strong SQL and database performance tuning.
• Query optimization, indexing, partitioning, and execution-plan analysis.
• Terraform/CloudFormation or comparable IaC.
• CloudWatch, Datadog, Prometheus, Grafana, New Relic, or similar.
• Python/Bash/PowerShell.
• CI/CD, DevSecOps, containers. xhyhwjd
• Experience with Databricks, Redshift, PostgreSQL, SQL Server, Oracle, Snowflake, or similar preferred.