Software Engineer / Application Developer
DUIT
One of Inc. 5000's fastest-growing companies with a limitless environment! Davis Unlimited Information Technologies, Inc. (DUIT) wants you! We have immediate openings and are looking for a qualified Software Engineer / Application Developer - Mid-Level with 3-5 years of experience to join our certified, award-winning, and innovative IT team!
DUIT, a Maryland-based AI and cybersecurity firm, is seeking a talented Software Engineer / Application Developer to support the maintenance, security, stability, and continuous improvement of an AI-enabled software platform operating within a federal/Department of Defense (DoD) environment. You will troubleshoot and resolve application defects, optimize AI model performance, and implement secure software improvements using TypeScript, Node.js, and AWS technologies. This position involves collaborating with engineering and testing teams to maintain reliable application functionality while supporting AI model tuning, secure deployments, and continuous system optimization. Position: 3-to-4-week contract | 1099s Welcome | Remote (United States) Why work for us?- No red tape!
- Competitive salaries
- Great Health/Dental/Vision/Other Insurance Benefits
- Excellent 401K plans
- 11 Paid Company Holidays & PTO Tiers
- Educational Reimbursement Programs
- Limitless environment where you matter
- Recognition of outstanding work and other employee incentives
- Opportunities for advancement
- Investigate, troubleshoot, and resolve application defects and technical issues across frontend interfaces, backend services, APIs, databases, and AWS cloud infrastructure.
- Perform root-cause analysis to identify and resolve recurring software defects, application performance problems, and system integration issues.
- Develop, test, document, and deploy secure application fixes while maintaining system stability, reliability, and performance.
- Collaborate with QA/Test Engineers to reproduce defects, validate fixes, and address issues identified through autonomous testing, human validation, and user feedback.
- Analyze application logs, system metrics, database queries, API integrations, and AWS CloudWatch monitoring data to diagnose application issues.
- Support production applications by addressing incidents, performing software maintenance, updating dependencies, and remediating application and container security vulnerabilities.
- Conduct periodic AI model performance evaluations and implement approved improvements to prompts, model configurations, parameters, workflows, guardrails, and retrieval settings.
- Evaluate AI model outputs to identify inaccuracies, inconsistencies, performance degradation, and unintended behavior, implementing controlled optimizations to improve accuracy and reliability.
- Establish performance baselines, test AI configuration changes in approved non-production environments, and monitor for regressions following deployment.
- Support application deployments and releases through established CI/CD pipelines, secure coding practices, configuration management, and change-control procedures.
- Work within government-managed AWS environments, following established infrastructure, access-control, and cybersecurity requirements.
- Maintain technical documentation, version histories, configuration records, and software change documentation to support system traceability and operational continuity.
- Ensure application development, deployment, and AI optimization activities comply with applicable government security, privacy, data-handling, and Controlled Unclassified Information (CUI) requirements.
- 3-5 years of professional software engineering or application development experience.
- 3+ years of hands-on production experience developing and maintaining frontend and backend applications using TypeScript and Node.js.
- Strong experience troubleshooting, debugging, and resolving defects in production web applications.
- Demonstrated ability to perform root-cause analysis and implement reliable software fixes.
- Experience working with REST APIs, relational databases (PostgreSQL preferred), system integrations, and distributed application components.
- Hands-on experience deploying and troubleshooting containerized applications within AWS, including services such as ECS/Fargate, ECR, RDS, S3, SQS, IAM, and CloudWatch.
- Experience with Docker, container-based deployments, Git, and modern source-control practices.
- Familiarity with CI/CD pipelines, secure software development practices, and controlled software deployment processes.
- Experience collaborating with software testing and quality assurance teams to investigate defects and validate technical solutions.
- Ability to operate within restricted-access environments, follow least-privilege principles, and work within established government change-approval processes.
- Strong analytical, technical documentation, problem-solving, and communication skills.
- Must be a U.S. Person (U.S. citizen or lawful permanent resident), reside within the United States, and be eligible to obtain and maintain the required Public Trust determination and government/DoD system access.
- Must be able to successfully complete applicable background investigations, system access approval requirements (including DD Form 2875 when required), and mandatory cybersecurity and security-awareness training.
- Employment visa sponsorship is not available for this position.
- Experience developing applications using Next.js, tRPC, Prisma, or comparable TypeScript full-stack frameworks.
- Experience developing, integrating, or maintaining generative AI applications or Large Language Model (LLM) solutions.
- Familiarity with Amazon Bedrock or comparable managed AI services, including model integration, structured outputs, streaming, retries, and usage monitoring.
- Experience with AI prompt engineering, model configuration, retrieval-augmented generation (RAG), vector search, model evaluation, and AI performance optimization.
- Experience supporting autonomous or agentic AI systems and implementing AI behavioral testing and evaluation.
- Familiarity with additional AWS services, including EventBridge, DynamoDB, Secrets Manager, and AWS Key Management Service (KMS).
- Experience with Infrastructure as Code (IaC), particularly AWS CDK using TypeScript or AWS CloudFormation.
- Experience supporting federal government or DoD applications within FedRAMP-authorized or DoD Impact Level 4/5 environments.
- Familiarity with government AWS environments, including FIPS endpoints, service availability limitations, and government-managed infrastructure.
- Experience with DevSecOps pipelines, automated security scanning, container vulnerability remediation, and secure application deployment practices.
- Experience supporting applications in restricted or disconnected environments, including private registries, controlled dependencies, and limited internet connectivity.
- Familiarity with government cybersecurity requirements, CUI protection, access controls, and secure configuration management.
- Experience using Python for automation, AI evaluation, or application scripting.
- AWS certifications such as AWS Certified Developer - Associate or AWS Certified SysOps Administrator - Associate.
- Previous Public Trust eligibility or experience supporting federal/DoD systems.
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