Senior Full-Stack Cloud DeveloperGuidehouse
Job Summary
What You Will Do:
Design, develop, and test fullstack components, including enterprise web service APIs, backend services, and user interfaces that consume REST APIs.
Collaborate with product management to translate requirements into technical designs and provide accurate estimates.
This role involves building internal and external interfaces using Microservices and automation patterns as part of a complete system modernization.
Define, implement, and maintain automated unit and integration tests.
Develop highquality, productionready code in short, iterative increments.
Work closely with engineering, QA and Systems teams to improve and manage the development pipeline.
The ideal candidate will contribute across the full stack design, development, and testingleveraginga cloud technology platform (GCP or similar) and industrystandard tools, frameworks, and design patterns. In addition, the seniorlevel role includes mentoring responsibilities, architectural influence, and technical leadership across teams.
Champion best practices development and cloud automation to continuously enhance development efficiency and reliability.
Leads crossfunctional modernization initiatives, ensuring alignment across multiple teams and driving cohesive technical execution on complex enterprisewide programs.
Provide technical leadership across feature teams, guiding architectural decisions and ensuring alignment with cloudnative standards and microservices best practices.
Mentor junior and midlevel engineers through code reviews, pair programming, and structured knowledgesharing.
Participate in solution architecture discussions, contributing to longterm modernization strategy and technology selection.
Act as a senior technical pointofcontact for crossfunctional stakeholders, helping bridge product, engineering, and platform teams.
Subject matter expert. Demonstrates strategic thinking byanticipatingfuture technical challenges and proactively proposing forwardlooking solutions that strengthen organizational readiness.
Identifysystem bottlenecks, architectural gaps, and improvement opportunities across distributed systems.
What You Will Need:
US Citizenship with the ability to obtain and maintain a federal Public Trust clearance.
Bachelor's Degree or additional Four(4) years of exp in lieu of degree.
Minimum of6years of software engineering experience.
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 Scrumbased development environment.
Handson 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 GCPnative 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. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred.
What Would Be Nice To Have:
Ability to manage multiple tasks with varying priorities.
Strong communicationskills across diverse formats.
Facilitates discussions with stakeholders to ensure alignment onapproaches.
Adherence to Agile development methodologies.
Experience leadingmultipleprojects or processes, with minimal guidance.
Experience with IDEs such as Eclipse, IntelliJ, or VS Code.
GCP certification or familiarity with Google Cloud Platform.
Experience with cloudbased AI/ML services (GCP Vertex AI, Gemini Code Assist, AWS SageMaker, or Azure ML) andMLOpspractices (CI/CD for ML, model monitoring).
Proficiency in Python for developing, training, and deploying machine learning models.