Performance & Data Optimization Engineer

General Dynamics Information Technology•USA LA Home Office (LAHOME), LA

2d•$128,039 - $173,229•Remote

About The Position

Seize your opportunity to make a personal impact supporting the Case Management Modernization (CMM) Program. The CMM program is an initiative to support the Administrative Office of the US Courts (AO) in developing a modern cloud-based solution to support all 204+ federal courts across the United States. GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career. The Performance & Data Optimization Engineer will work as part of the CMM Data Modernization and Governance team responsible for delivering an integrated data governance, engineering, data platform, reporting, analytics, and Artificial Intelligence (AI)/Machine Learning (ML) capabilities that support operational decision-making and fulfill AO's data and analytics objectives in support of the CMM program. The successful candidate will be responsible for monitoring and optimizing the performance of the enterprise cloud data platform, focusing on database performance, query execution, indexing strategies, and overall platform efficiency. This role identifies bottlenecks, tunes queries and platform configurations, and partners with data engineering and platform teams to ensure the CMM Data Modernization & Governance platform runs efficiently, reliably, and cost-effectively at scale.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, or related field.
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.
Must be a US Person (Green Card Holder, US Permanent Resident Alien, Refugee, Asylee, or US Citizen).

Nice To Haves

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.

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.

Benefits

Comprehensive benefits and wellness packages
401K with company match
Competitive pay
Paid time off
Full flex work week
Variety of medical plan options
Health Savings Accounts
Dental plan options
Vision plan
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.
Variety of 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 to be used for vacations, personal business, and illness
10 paid holidays per year.
Paid Family Leave program provides a total of up to 160 hours of paid 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