Performance & Data Optimization Engineer

**FULLY REMOTE**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 ResponsibilitiesTune 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.Qualifications5+ 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.Experience with Databricks, Redshift, PostgreSQL, SQL Server, Oracle, Snowflake, or similar preferred.