Software Engineer

QualityWorks Consulting Group, LLC

. Investigate, troubleshoot, and resolve application bugs and system issues across frontend, API, database, and cloud services .

Posted 10/16/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in troubleshooting and resolving application defects, with strong skills in debugging, root-cause analysis, and technical documentation. Proficient in developing and maintaining production web applications using TypeScript and Node.js, while ensuring compliance with government security and privacy requirements.

Highest-signal resume keywords

TypeScript DevelopmentNode.js Application DevelopmentRoot-Cause AnalysisAWS Container ManagementTechnical Documentation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

DebuggingApplication DevelopmentAPI IntegrationRelational DatabasesCloud ServicesContainerizationCI/CD ProcessesSecure Coding PracticesPerformance TuningVersion Control

Soft Skills

Communication SkillsCollaboration

Tools & Technologies

AWSDockerGitPostgreSQLCloudWatch

Certifications & Qualifications

Public Trust DeterminationCybersecurity Training

Industry Keywords

Government ComplianceSensitive InformationControlled Unclassified InformationChange Control ProcessesAI Governance

Tech Stack

Tools & technologies

AWSCloudCyber SecurityDockerJavaScriptNode.jsPostgresTypeScript

About the role

Key responsibilities & impact

Investigate, troubleshoot, and resolve application bugs and system issues across frontend, API, database, and cloud services
Address confirmed defects identified through autonomous testing and human Test Engineer validation
Perform root-cause analysis for recurring and complex technical issues
Develop, test, document, and deploy reliable application fixes
Analyze application logs, metrics, APIs, databases, integrations, and AWS infrastructure
Collaborate with Test Engineers to reproduce defects and validate fixes
Address production issues and provide technical support for application incidents
Support application maintenance, upgrades, dependency updates, and security remediation
Participate in code reviews and follow secure coding and development practices
Maintain technical documentation for fixes, system behavior, configurations, and integrations
Support controlled application releases and deployments using documented procedures and runbooks
Follow government configuration-management and change-control processes
Protect government, sensitive, proprietary, and Controlled Unclassified Information
Conduct scheduled AI/model performance reviews and tuning
Analyze AI behavior using testing results, human validation, production observations, and user feedback
Identify inaccurate, inconsistent, incomplete, or undesirable AI behavior
Adjust approved prompts, configurations, model parameters, workflows, guardrails, retrieval settings, and integrations
Establish baseline measurements before significant tuning activities
Validate model/configuration changes in approved non-production environments
Collaborate with Test Engineers to independently validate AI behavior after tuning
Document model, prompt, configuration, and behavioral changes with traceability and version history
Evaluate tuning results against quality and performance criteria
Monitor for regressions and unintended behavior following updates
Ensure model tuning complies with government security, privacy, data-handling, and AI governance requirements

Requirements

What you’ll need

3–5 years of professional software engineering or application development experience
3+ years of production experience with TypeScript and Node.js across frontend and backend
Strong experience developing and maintaining production web applications
Demonstrated experience troubleshooting and resolving application defects
Strong debugging and root-cause analysis skills
Experience with APIs, relational databases (PostgreSQL preferred), integrations, and distributed application components
Hands-on experience running and troubleshooting containerized applications on AWS, including ECS/Fargate, ECR, RDS, S3, SQS, and IAM
Experience diagnosing issues through CloudWatch logs and metrics
Working experience with Docker and container-based deployments
Experience with Git and modern source-control workflows
Familiarity with CI/CD and controlled software deployment processes
Ability to work with restricted access, least-privilege permissions, and approval-gated changes
Experience collaborating with QA/Test Engineers to reproduce and resolve defects
Understanding of secure software development principles
Strong technical documentation and communication skills
Must be a U.S. Person (U.S. citizen or lawful permanent resident)
Must be based in the United States
Must be able to successfully complete the required background investigation and adjudication
Must be eligible to obtain and maintain the required Public Trust determination
Must be eligible to obtain and maintain access to applicable DoD/government information systems
Must complete required cybersecurity, information assurance, privacy, and security-awareness training
Must comply with government and organizational requirements governing credentials, system access, sensitive information, source code, application data, and acceptable use
Must maintain continued eligibility for government system access throughout employment when required
Employment visa sponsorship is unavailable

Benefits

Comp & perks

Full-time employment
Opportunity to support and deploy an AI-enabled software platform in a federal/DoD technology environment
Professional experience with AI model tuning and optimization
Experience with government-managed AWS environments, security controls, and controlled deployments
Exposure to government cybersecurity, privacy, data-handling, AI governance, and change-control processes