[Remote] Performance & Data Optimization Engineer

Note: The job is a remote job and is open to candidates in USA. GDIT is a technology and professional services company supporting government, defense, and intelligence missions. The Performance & Data Optimization Engineer will optimize and monitor the Case Management Modernization Program’s cloud data platform, focusing on database performance, reliability, security, scalability, and cost efficiency. The role collaborates with data, platform, governance, and engineering teams to resolve performance issues and establish monitoring, optimization, and continuity practices.

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 system engineering, development, and programming with a strong focus on diagnosing, optimizing, and improving system and data‑pipeline performance
• Deep expertise in AWS services across compute, storage, networking, monitoring, and logging
• Proficient with IaC tools (Terraform, CloudFormation, Azure Bicep) for building optimized, cost‑efficient, autoscaling infrastructure configurations
• Experienced with monitoring/APM platforms (CloudWatch, Azure Monitor, Datadog, Prometheus, Grafana, New Relic) focusing on identifying performance bottlenecks, improving query and workload efficiency, and reducing latency
• Strong background in incident response and change management with the ability to quickly isolate, troubleshoot, and resolve performance degradation issues
• Skilled with CI/CD toolchains (Jenkins, GitHub Actions, GitLab, ArgoCD) to optimize build and deployment pipelines and reduce performance overhead
• Strong scripting abilities (Python, PowerShell, Bash)
• Advanced DevSecOps and GitOps experience with the ability to optimize deployment workflows, automate testing, and ensure high‑performance release pipelines
• Hands-on experience building, testing, and maintaining containerized applications
• Expert in version control and enterprise CI/CD pipelines, leveraging automation to streamline performance‑critical workflows
• 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 with ability to optimize ELT/ETL pipelines, refactor SQL logic, tune joins, improve concurrency, and tune execution plans
• 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 for database optimization, pipeline tuning, and cloud‑platform efficiency improvements
• 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
• * 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

• Medical plan options, some with Health Savings Accounts
• Dental plan options
• Vision plan
• 401(k) plan with pre-tax and post-tax contribution options up to IRS annual limits and a company match
• Full-flex work weeks where possible
• Paid vacation leave
• Paid sick leave
• Paid personal time
• Paid holidays
• Paid parental leave
• Paid military leave
• Paid bereavement leave
• Paid jury duty leave
• 15 days of paid leave per calendar year for new employees
• 10 paid holidays per year
• Paid Family Leave of up to 160 hours in a rolling 12-month period for eligible employees
• Short-term disability benefits
• 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
• Internal mobility team focused on helping employees achieve their career goals
• Comprehensive wellness packages
• Remote work arrangement
• Full-flex work week to own your priorities at work and at home
• Award-winning culture of innovation
• Military-friendly workplace

Company Overview