Software Engineer

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🕒 vor 3 Tagen

🇺🇸 Vereinigte Staaten – Remote

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

🖥 Softwareentwickler

👻 Geisterscore 14%

Was es bedeutet: wie wahrscheinlich diese Stelle offen bleibt, ohne dass aktiv eingestellt wird.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Wie wir werten: Dauer offen, Neuveröffentlichungen, offene Stellen vs Teamgröße, wie schnell Stellen geschlossen werden, und ob ein Gehalt angegeben ist.Hinweis: eine Schätzung aus öffentlichen Daten, kein Urteil über das Unternehmen. Echte Stellen können hoch punkten, nutze es also als Hinweis, nicht als Fakt.

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QualityWorks Consulting Group, LLC

WebsiteLinkedInAlle Stellen

11 - 50 Mitarbeiter

Gegründet 2010

🏥 Gesundheitswesen

📦 Logistik

📣 Marketing

Healthcare • Logistics • Marketing

QualityWorks Consulting Group, LLC ist ein schwarzes, von Frauen geführtes Technologieberatungs- und Qualitätsingenieurbüro, das KI-gestützte Softwaretests, Testautomatisierung und digitale Transformationsdienste für Unternehmenskunden anbietet. Sie kombinieren fachkundige QA-Überwachung mit KI-gesteuerten Testtools (einem AI Test Squad, QualityWatcher und AI-Testmanagement), um die Auslieferung zu beschleunigen, die Testabdeckung zu erhöhen und Kosten zu reduzieren. Engagement-Modelle umfassen dedizierte Teams, Personalverstärkung und Beratung/Schulung, und die Dienstleistungen decken Full-Stack-Tests, API- & Cloud-Tests, nicht-funktionale und UX/Barrierefreiheitstests, Datenqualität und technische Beratung/fractional CTO-Arbeiten ab.

Beschreibung

• 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

🎯 Anforderungen

• 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

🏖️ Vorteile

• 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