Northramp LLC

Role Description We are looking for an Application Architect with strong AI engineering experience to design and build intelligent, agentic applications on Google Cloud Platform. This role sits within an application engineering team and focuses on architecting AI-enabled systems using the Google Agentic Development Kit (ADK), Gemini, and Vertex AI — integrated into enterprise Java/Python backends and cloud-native microservices. You are equally comfortable defining application architecture, designing agentic workflows, writing production-quality code, and translating AI capabilities into practical, mission-aligned solutions for federal stakeholders. This role is remote with a preference for candidates located in Virginia, Maryland, or Washington DC. Key Responsibilities - Architect and implement AI-enabled application systems on GCP, with a focus on agentic workflows using Google ADK and Gemini Pro. - Design human-in-the-loop agentic systems — defining agent roles, tool use, orchestration patterns, and guardrails for responsible, auditable AI behavior. - Integrate AI/ML capabilities (Vertex AI, Gemini APIs, embeddings, RAG) into enterprise Java and Python applications via well-designed APIs and microservices. - Lead application-layer design decisions: data flow, context management, session handling, and state management within agentic architectures. - Collaborate with Data Engineers (BigQuery, Dataform) and Cloud Architects to ensure AI application solutions are grounded in reliable, governed data. - Conduct architectural reviews, define coding standards for AI-integrated applications, and mentor engineers on agentic design patterns. - Evaluate AI use cases for feasibility, risk, and mission fit; prototype and validate approaches before committing to full builds. - Contribute to responsible AI practices: explainability, human oversight, auditability, and alignment with federal AI governance requirements. - Stay current on the Google AI ecosystem (Gemini, ADK, Vertex AI Agent Builder) and inform team and leadership on strategic direction. Qualifications - 5–8 years of software or application engineering experience, with demonstrated focus on AI-integrated or intelligent application design. - Hands-on experience with Google ADK or comparable agentic frameworks (LangGraph, LangChain, AutoGen); Google ADK strongly preferred. - Proficiency in Python for AI/ML integration; Java experience a plus in application team context. - Experience integrating LLM APIs (Gemini, OpenAI, or equivalent) into production application workflows. - Solid understanding of agentic design patterns: tool use, multi-agent orchestration, retrieval-augmented generation (RAG), memory and context management. - Experience with GCP services: Vertex AI, Cloud Run, GKE, BigQuery, Pub/Sub. - Familiarity with REST API design, microservices architecture, and CI/CD pipelines (Harness preferred). - Understanding of responsible AI principles: human-in-the-loop design, auditability, bias awareness, and federal AI governance. Desired Qualifications - Experience with Vertex AI Agent Builder, Gemini Code Assist, or Gemini CLI in a development workflow context. - Familiarity with GCP-native data tooling: BigQuery, Dataform, Looker. - Experience on federal or large-scale enterprise modernization programs. - Exposure to FedRAMP/FISMA requirements and security-compliant AI deployment practices. - Experience with DevSecOps pipelines (Checkmarx, Invicti, or equivalent SAST/DAST tooling). Additional Information - Successful completion of a client-required background investigation and suitability determination will be required. - The ability to obtain and maintain a federal security clearance may be required based on engagement. - Bachelor's degree in Computer Science, Software Engineering, or a related field; advanced degree a plus. - Google Cloud Professional Cloud Architect or Professional Machine Learning Engineer certification preferred. - Security+ desirable. Benefits - Health Care Plan (Medical, Dental & Vision) - Retirement Plan (401k, IRA) - Life Insurance (Basic, Voluntary & AD&D) - Paid Time Off (Vacation, Sick & Public Holidays) - Family Leave (Maternity, Paternity) - Short Term & Long Term Disability - Training & Development - Work From Home - Wellness Resources - Employee Bonus Programs

Role Description We are looking for a senior Full Stack Developer and Application Architect to design, build, and lead the evolution of cloud-hosted enterprise applications supporting FEMA's National Flood Insurance Program (NFIP) modernization. This role bridges architecture and hands-on engineering — you will define application frameworks, guide microservices design, and actively contribute to development across the full stack within a modern CI/CD DevSecOps environment on Google Cloud Platform (GCP). Depending on program needs, this person may be positioned as an Application Architect, taking ownership of technical design at the platform and solution level. This role is remote, with a preference for candidates located in Virginia, Maryland, or Washington DC. Key Responsibilities - Design and implement scalable, cloud-native application architectures using Java (Spring Boot, Spring Cloud) as the primary backend technology on GCP. - Lead full stack development across backend APIs (Java/REST), React or Angular front-end layers, and GCP integration points. - Architect microservices and containerized application designs using Docker and Kubernetes (GKE). - Define and govern application frameworks, coding standards, and development best practices across engineering teams. - Oversee CI/CD pipeline design and integration using Harness, ensuring automated build, test, and deployment workflows are robust and FedRAMP-compliant. - Lead design and integration of event-driven architectures using messaging platforms (Pub/Sub, Kafka, or equivalent). - Collaborate with cloud architects, data engineers (BigQuery/Dataform), and DevSecOps teams to ensure application solutions integrate with the broader GCP platform. - Support integration with identity and access management systems (Okta) and federal authentication requirements. - Conduct code reviews, architectural design reviews, and mentor junior and mid-level developers. - Ensure application security, FedRAMP/FISMA compliance, and alignment with STIG standards and federal security requirements (Checkmarx, Invicti, or equivalent tooling). - Contribute to AI-assisted developer productivity tooling (e.g., Gemini Code Assist) within a human-in-the-loop framework. Qualifications - 10+ years of software development experience with deep Java backend expertise. - Strong Java ecosystem proficiency: Spring Boot, Spring Cloud, Hibernate/JPA, Maven/Gradle. - Experience designing and building RESTful and event-driven microservices architectures. - Solid front-end skills in React or Angular. - Hands-on experience with Docker and Kubernetes (GKE preferred). - CI/CD pipeline experience — Harness strongly preferred; Jenkins or GitHub Actions acceptable. - Hands-on experience deploying and architecting on GCP (BigQuery, Cloud Run, GKE, Pub/Sub); AWS or Azure experience considered. - Familiarity with additional languages (Python, Node.js, or similar). - Understanding of OAuth/SAML identity federation (Okta preferred), application security, and FISMA/FedRAMP compliance requirements. - Strong communication skills; able to operate as a technical lead across cross-functional teams. Desired Qualifications - Experience on federal or large-scale enterprise IT modernization programs, particularly DHS/FEMA or similar civilian agencies. - Familiarity with AI/ML platform integration (Vertex AI, Gemini) within application workflows; experience with AI-assisted development tooling a plus. - Knowledge of GCP-native data services: BigQuery, Dataform, Looker. - Experience working in Jira/Confluence-based Agile delivery environments. - Familiarity with Drupal CMS integration in enterprise web contexts. Additional Information - Successful completion of a client-required background investigation and suitability determination will be required. - The ability to obtain and maintain a federal security clearance may be required based on engagement. - Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, or a related technical field. - Google Cloud Professional Cloud Architect or Professional Cloud Developer certification preferred; AWS or Azure equivalent considered. - Kubernetes certification (CKA or CKAD) a plus. Security+ or CISSP desirable. Benefits - Health Care Plan (Medical, Dental & Vision) - Retirement Plan (401k, IRA) - Life Insurance (Basic, Voluntary & AD&D) - Paid Time Off (Vacation, Sick & Public Holidays) - Family Leave (Maternity, Paternity) - Short Term & Long Term Disability - Training & Development - Work From Home - Wellness Resources - Employee Bonus Programs

Role Description Northramp LLC is seeking a detail-oriented Senior QA Automation Engineer to join our dynamic team focused on delivering high-quality software solutions in federal environments. In this role, you will design, develop, and maintain automated testing solutions to validate software functionality, performance, and security, helping ensure the delivery of robust and reliable systems. This position involves collaborating closely with development teams, architects, and program managers to integrate automated testing into continuous integration and delivery pipelines, supporting mission-critical cloud applications. Location: Remote role based in the Washington, DC metropolitan area. Remote work options are available in alignment with program and security considerations. Key Responsibilities - Develop and maintain automated test scripts for functional, regression, integration, and performance testing using industry-standard tools and frameworks. - Integrate automated tests into CI/CD pipelines (Harness) to enforce quality and prevent defect leakage during software releases. - Collaborate with software engineers to ensure comprehensive test coverage and effective identification of defects. - Create and maintain test documentation such as test plans, test cases, and execution reports supporting compliance and audit requirements. - Assist in setting up and maintaining testing environments and test data management consistent with federal standards and security policies. - Support performance and security testing efforts through test automation and tooling integration. - Analyze test results, report defects, and track quality metrics to provide insight into software quality trends. - Contribute to continuous improvement of test automation frameworks and testing best practices across the team. Qualifications - 7+ years experience in software quality assurance with a focus on test automation engineering. - Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or related field; equivalent professional experience considered. - Proficiency in programming languages commonly used for test automation such as Java, Python, or JavaScript. - Experience with test automation frameworks and tools such as Selenium, Katalon, Jmeter, Axe by Deque, and Postman. - Familiarity integrating automated tests into CI/CD pipelines using Harness, GitHub Actions, or equivalent. - Understanding of software development life cycles, Agile methodologies, and shift-left testing practices. - Experience working within federal compliance environments including FedRAMP, FISMA, or NIST standards is preferred. - Strong analytical and problem-solving skills with attention to detail and quality. - U.S. Citizenship with the ability to obtain and maintain a Public Trust or higher security clearance. Desired Qualifications - Certifications such as ISTQB Foundation or Advanced Level. - Experience with Google Cloud. - Knowledge of accessibility testing and Section 508 compliance. - Previous federal contracting or government program experience. - Existing active Public Trust or higher clearance. Benefits - Health Care Plan (Medical, Dental & Vision) - Retirement Plan (401k, IRA) - Life Insurance (Basic, Voluntary & AD&D) - Paid Time Off (Vacation, Sick & Public Holidays) - Family Leave (Maternity, Paternity) - Short Term & Long Term Disability - Training & Development - Work From Home - Wellness Resources - Employee Bonus Programs

Role Description We are seeking a Google Cloud Platform architect to design, govern, and continuously mature enterprise-scale cloud architectures across IaaS, PaaS, and SaaS environments. This is a senior architectural role — you will set cloud strategy, drive GCP-native solution design, ensure FedRAMP High compliance, and guide DevSecOps adoption across a large federal program portfolio. Deep, demonstrable GCP expertise is the non-negotiable core of this role. This role is remote with a preference for a candidate located in Virginia, Maryland, or Washington DC. Key Responsibilities - Lead the design and development of GCP-native enterprise architectures covering IaaS, PaaS, and SaaS workloads. - Architect solutions leveraging core GCP services: Compute Engine, GKE, Cloud Run, BigQuery, Google SIEM, etc. - Design and oversee Infrastructure as Code (IaC) implementations using Terraform and Google Cloud Deployment Manager. - Architect secure, FedRAMP High-compliant cloud environments aligned with FISMA, NIST 800-53, and DHS 4300A requirements. - Define GCP networking architectures including VPCs, Shared VPCs, Cloud Interconnect, Cloud VPN, and hybrid connectivity patterns. - Provide architectural leadership for containerization (GKE, Anthos), serverless (Cloud Functions, Cloud Run), and managed database services on GCP. - Lead cloud architecture reviews, technical design sessions, and stakeholder presentations with both technical and executive audiences. - Establish and maintain cloud architecture frameworks, reusable patterns, and governance standards across the program. - Collaborate with DevSecOps, data engineering, and application teams to ensure architectural consistency and compliance. - Evaluate emerging GCP services and advise leadership on adoption roadmaps and strategic cloud investments. Qualifications - 7–10 years of cloud architecture experience with 5+ years of deep, hands-on Google Cloud Platform (GCP) expertise. - Expert-level knowledge of GCP core services: compute, networking, storage, data, AI/ML, and security. - Proficiency in IaC tools — Terraform required; experience with Google Cloud Deployment Manager a strong plus. - Deep understanding of GCP networking: VPC design, Shared VPC, Cloud Interconnect, Cloud Armor, Cloud Load Balancing. - Strong experience designing containerized and Kubernetes-based workloads on GKE and Anthos. - Hands-on experience with GCP security services: Cloud IAM, BeyondCorp, Security Command Center, VPC Service Controls. - Knowledge of FedRAMP High, FISMA, NIST 800-53 compliance requirements in cloud environments. - Experience with CI/CD pipeline architecture and DevSecOps practices on GCP (Cloud Build, Artifact Registry). - Exceptional communication skills — able to translate complex architecture into actionable guidance for engineering teams and executives alike. Desired Qualifications - Experience with Google Workspace and Apigee API management. - Familiarity with Google Cloud's AI/ML services (Vertex AI, BigQuery ML). - Multi-cloud architecture experience (AWS, Azure) in addition to primary GCP expertise. - TOGAF or equivalent enterprise architecture framework experience. Requirements - Successful completion of a client-required background investigation and suitability determination will be required. - The ability to obtain and maintain a federal security clearance may be required based on the engagement. - Bachelor's or Master's degree in Computer Science, Information Systems, Electrical Engineering, or a related technical field. - GCP Professional Cloud Architect certification — required. - Additional GCP specialty certifications (Professional Data Engineer, Professional Security Engineer) highly desirable. - TOGAF certification preferred. CCSP or CISSP strongly desirable. Benefits - Health Care Plan (Medical, Dental & Vision) - Retirement Plan (401k, IRA) - Life Insurance (Basic, Voluntary & AD&D) - Paid Time Off (Vacation, Sick & Public Holidays) - Family Leave (Maternity, Paternity) - Short Term & Long Term Disability - Training & Development - Work From Home - Wellness Resources - Employee Bonus Programs