Software Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

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

• Address confirmed defects identified through automated testing and validation by human Test Engineers.

• Conduct root-cause analysis for recurring and complex technical problems.

• Develop, test, document, and deploy reliable fixes for applications.

• Analyze application logs, metrics, APIs, databases, integrations, and AWS infrastructure.

• Collaborate with Test Engineers to replicate defects and validate solutions.

• Manage production issues and provide technical support for application-related incidents.

• Assist with application maintenance, upgrades, dependency updates, and security remediation.

• Participate in code reviews and adhere to secure coding and development practices.

• Maintain technical documentation for fixes, system behaviors, configurations, and integrations.

• Support controlled application releases and deployments following documented procedures and runbooks.

• Adhere to government configuration-management and change-control processes.

• Safeguard government, sensitive, proprietary, and Controlled Unclassified Information.

• Conduct scheduled reviews and tuning of AI/model performance.

• Analyze AI behavior based on testing results, human validation, production observations, and user feedback.

• Identify inaccurate, inconsistent, incomplete, or undesirable AI behaviors.

• Adjust approved prompts, configurations, model parameters, workflows, guardrails, retrieval settings, and integrations.

• Establish baseline measurements before conducting significant tuning activities.

• Validate model/configuration changes in approved non-production environments.

• Collaborate with Test Engineers to independently validate AI behavior post-tuning.

• Document changes to models, prompts, configurations, and behaviors with traceability and version history.

• Evaluate tuning results against established quality and performance criteria.

• Monitor for regressions and unintended behaviors following updates.

• Ensure model tuning adheres to government security, privacy, data-handling, and AI governance requirements.

⛳️ Requirements

• 3–5 years of professional experience in software engineering or application development.

• 3+ years of production experience with TypeScript and Node.js in both frontend and backend roles.

• Strong background in developing and maintaining production web applications.

• Proven experience in troubleshooting and resolving application defects.

• Strong debugging and root-cause analysis abilities.

• Experience with APIs, relational databases (preferably PostgreSQL), 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 knowledge of Docker and container-based deployment strategies.

• Familiarity with Git and contemporary source-control workflows.

• Understanding of CI/CD and controlled software deployment processes.

• Ability to operate with restricted access, least-privilege permissions, and approval-gated changes.

• Experience partnering with QA/Test Engineers to reproduce and resolve defects.

• Knowledge 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 reside in the United States.

• Must successfully complete the required background investigation and adjudication.

• Must be eligible to obtain and maintain the required Public Trust determination.

• Must be eligible to acquire and maintain access to applicable DoD/government information systems.

• Must complete necessary cybersecurity, information assurance, privacy, and security-awareness training.

• Must comply with government and organizational requirements regarding credentials, system access, sensitive information, source code, application data, and acceptable use.

• Must maintain continued eligibility for government system access throughout employment as required.

• Employment visa sponsorship is not available.

🏝️ Benefits

• 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.