Full-Stack Cloud Developer

Summary

Guidehouse is a consulting and digital services company providing technology solutions to government and commercial clients. The Full-Stack Cloud Developer will design, develop, test, and deploy enterprise APIs, backend services, and user interfaces using cloud platforms, microservices, automation, and modern development practices. The role also involves collaborating with product, engineering, QA, and security teams to deliver secure, production-ready software.

Responsibilities

• Design, develop, and test full‑stack components, including enterprise web service APIs, backend services, and user interfaces that consume REST APIs
• This role involves building internal and external interfaces using Microservices and automation patterns as part of a complete system modernization
• Collaborate with product management to translate requirements into technical designs and provide accurate estimates
• Contribute across the full stack design, development, and testing leveraging a cloud technology platform (GCP or similar) and industry‑standard tools, frameworks, and design patterns
• Define, implement, and maintain unit and integration tests
• Develop high-quality, production-ready code in short, iterative increments
• Work closely with engineering and QA teams to improve and manage the development pipeline
• Partner with security teams to ensure compliance with required security controls

Skills

• * Minimum of Four (4) years of software engineering experience
• * Bachelor's degree. Additional Four (4) years needed in lieu of degree
• * Expertise in enterprise software design, implementation, and deployment
• * Proficiency with JavaScript, and modern frontend frameworks such as Angular or React
• * Strong programming experience in Java, including Spring Boot or similar frameworks
• * Experience working in a Scrum-based development environment
• * Hands-on experience with tools such as JIRA, Bamboo or Jenkins, Bitbucket (Git), and Confluence
• * Proficiency with JSON, YAML, and XML
• * Experience developing distributed, modular system architectures (Microservices, SOA)
• * Strong understanding of modern cloud networking concepts and enterprise security best practices, including GCP-native security controls and SAST/DAST methodologies, or similar cloud environments
• * Experience with Docker, Kubernetes, and OpenShift
• * Cloud development experience
• * Familiarity with web accessibility standards
• * Experience using Postman or similar tools to test web services
• * Experience with application servers or containers such as JBoss or Tomcat
• * Extensive experience with continuous integration and deployment tools
• * Experience working with relational and NoSQL data stores
• * Must be US Citizen
• * Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse
• * Experience performing code reviews
• * Strong discipline in documenting code
• * Ability to manage multiple tasks with varying priorities
• * Strong communication skills across diverse formats
• * Adherence to Agile development methodologies
• * Experience leading small engineering teams, formally or informally
• * Experience with IDEs such as Eclipse, IntelliJ, or VS Code
• * GCP certification or familiarity with Google Cloud Platform
• * Experience with cloud-based AI/ML services (GCP Vertex AI, Gemini Code Assist, AWS SageMaker, or Azure ML) and MLOps practices (CI/CD for ML, model monitoring)
• * Proficiency in Python for developing, training, and deploying machine learning models
• Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred

Qualifications

Must Haves

• * Minimum of Four (4) years of software engineering experience
• * Bachelor's degree. Additional Four (4) years needed in lieu of degree
• * Expertise in enterprise software design, implementation, and deployment
• * Proficiency with JavaScript, and modern frontend frameworks such as Angular or React
• * Strong programming experience in Java, including Spring Boot or similar frameworks
• * Experience working in a Scrum-based development environment
• * Hands-on experience with tools such as JIRA, Bamboo or Jenkins, Bitbucket (Git), and Confluence
• * Proficiency with JSON, YAML, and XML
• * Experience developing distributed, modular system architectures (Microservices, SOA)
• * Strong understanding of modern cloud networking concepts and enterprise security best practices, including GCP-native security controls and SAST/DAST methodologies, or similar cloud environments
• * Experience with Docker, Kubernetes, and OpenShift
• * Cloud development experience
• * Familiarity with web accessibility standards
• * Experience using Postman or similar tools to test web services
• * Experience with application servers or containers such as JBoss or Tomcat
• * Extensive experience with continuous integration and deployment tools
• * Experience working with relational and NoSQL data stores
• * Must be US Citizen
• * Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse

Nice to Haves

• * Experience performing code reviews
• * Strong discipline in documenting code
• * Ability to manage multiple tasks with varying priorities
• * Strong communication skills across diverse formats
• * Adherence to Agile development methodologies
• * Experience leading small engineering teams, formally or informally
• * Experience with IDEs such as Eclipse, IntelliJ, or VS Code
• * GCP certification or familiarity with Google Cloud Platform
• * Experience with cloud-based AI/ML services (GCP Vertex AI, Gemini Code Assist, AWS SageMaker, or Azure ML) and MLOps practices (CI/CD for ML, model monitoring)
• * Proficiency in Python for developing, training, and deploying machine learning models
• Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred

Benefits

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid Holidays
• Parental Leave
• 401(k) Retirement Plan
• Group Term Life and Travel Assistance
• Voluntary Life and AD&D Insurance
• Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
• Transit and Parking Commuter Benefits
• Short-Term & Long-Term Disability
• Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
• Employee Referral Program
• Corporate Sponsored Events & Community Outreach
• Care.com annual membership
• Employee Assistance Program
• Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
• Position may be eligible for a discretionary variable incentive bonus