[Remote] Performance & Data Optimization Engineer

Note: The job is a remote job and is open to candidates in USA. GDIT is a global technology and professional services company delivering technology solutions and mission services to government, defense, and intelligence organizations. The Performance & Data Optimization Engineer will support the Case Management Modernization Program by optimizing enterprise cloud data platforms, monitoring system health, tuning databases and queries, and improving platform efficiency, reliability, security, and cost-effectiveness.

Responsibilities

• Optimize databases and platform performance across cloud data warehouses/lakes, including query execution, indexing, partitioning, and caching
• Monitor system health; manage incidents, events, and operational reporting
• Diagnose and resolve performance bottlenecks in queries, pipelines, and resource utilization (CPU, memory, storage, network, I/O, concurrency)
• Analyze and tune SQL, ETL/ELT, data models, ingestion patterns, and workload performance for efficiency and cost
• Establish and maintain SLAs, baselines, dashboards, and automated monitoring/alerting
• Plan capacity, perform workload analysis, and guide scaling and cost-optimization decisions
• Collaborate with platform engineers, DBAs, architects, and application teams to optimize compute/storage configurations and resolve issues
• Maintain access controls, user roles, and identity integrations including SSO, MFA, and JENIE-based least privilege enforcement
• Provide disaster recovery and continuity options including high availability, fault tolerance, and automated failover
• Integrate DevSecOps tools and processes with enterprise systems to ensure unified security posture
• Manage centralized secrets with automated rotation, access logging, and policy enforcement
• Embed SAST, DAST, SCA, and CSPM tools into CI/CD for continuous assessment and remediation
• Implement automated, continuous 24/7 monitoring for security, performance, and compliance with real-time dashboards
• Ensure automated SBOM generation and management for all deployed artifacts
• Provide diagnostics, metrics gathering, and performance tuning; support canary releases for testing
• Collaborate with data governance and data quality teams to ensure performance optimization efforts align with data standards and controls
• Collaborate with Data Platform Engineers, Database Administrators, Data Architects, and Data Engineers to resolve performance issues
• Perform automated, full-stack health checks at agreed intervals
• Deliver monthly reports covering incidents, stability, performance, configurations, ticket volume, and resolution times
• Support high availability, disaster recovery, and business continuity requirements
• Contribute to platform performance standards, engineering guidelines, and optimization best practices

Skills

• * Education: Bachelor's degree in Computer Science, Software Engineering, or related field
• * Experience: 5+ years' experience in IT systems engineering, systems development, systems coding, and programming
• * Deep expertise in AWS services across compute, storage, networking, monitoring, and logging
• * Proficient with Infrastructure as Code (IaC) tools (Terraform, CloudFormation, Azure Bicep)
• * Experienced with monitoring/APM platforms (CloudWatch, Azure Monitor, Datadog, Prometheus, Grafana, New Relic)
• * Strong background in incident response, change management, and ITIL operations
• * Skilled with CI/CD toolchains (Jenkins, GitHub Actions, GitLab, ArgoCD) and automation
• * Strong scripting abilities (Python, PowerShell, Bash)
• * Advanced DevSecOps and GitOps implementation experience
• * Hands-on experience building, testing, and maintaining containerized applications
• * Expert in version control, build/release engineering, and enterprise-scale CI/CD pipelines
• * Flexible collaborator across multiple teams and products
• * Experience with FinOps, cost modeling, forecasting, and cloud cost optimization
• * Knowledge of federal compliance frameworks (FedRAMP, NIST, JISF Rev 5)
• * Skilled in log/metric analysis and cloud performance tuning
• * Experienced working across product teams to assess system health
• * Strong SQL and database performance-tuning skills
• * Experience in query optimization, indexing, partitioning, clustering, and execution-plan analysis
• * Familiar with cloud data platforms and distributed data-processing environments
• * Strong performance-monitoring and troubleshooting capabilities
• * Excellent analytical and problem‑solving skills
• Security Clearance Level: Must be able to pass a background check to obtain a position of Public Trust
• Must be a US Person (Green Card Holder, US Permanent Resident Alien, Refugee, Asylee, or US Citizen).
• Location: Remote
• Telecommunting: Remote
• Travel Requirement: Less than 10%
• * Preferred experience with Snowflake, Databricks, Amazon Redshift, PostgreSQL, SQL Server, Oracle, or equivalent platforms
• * Preferred experience with optimizing large-scale analytical workloads
• * Certified Data Management Professional (CDMP)
• * Snowflake SnowPro Advanced
• * Databricks Certified Data Professional
• * AWS Certified Data Analytics – Specialty
• * AWS Certified Solutions Architect – Professional
• * AWS Certified Data Engineer
• * Docker Certified Associate
• * Certified Kubernetes Administrator
• * Certified Professional DevSecOps Certification Course
• * ITIL, AWS SysOps, Google Cloud DevOps Engineer

Benefits

• A variety of medical plan options, some with Health Savings Accounts
• Dental plan options
• A vision plan
• A 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match
• Full-flex work weeks where possible
• Paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave
• 15 days of paid leave per calendar year for new employees, prorated based on the employee’s date of hire
• An additional 10 paid holidays per year, prorated based on the employee’s date of hire
• Up to 160 hours of paid family leave in a rolling 12 month period for eligible employees
• Short- and long-term disability benefits
• Life insurance
• Accidental death and dismemberment insurance
• Personal accident insurance
• Critical illness insurance
• Business travel and accident insurance
• AI-powered career tool that identifies career steps and learning opportunities
• An internal mobility team focused on helping employees achieve their career goals
• Wellness packages
• Career growth opportunities
• An award-winning culture of innovation
• A military-friendly workplace

Company Overview