• Define and execute the org-wide client architecture strategy to support seamless video creation, editing, and uploading directly within our shared composers. Establish the patterns for how all future formats integrate into the client layer. • Build and scale new contribution formats natively within the shared post and comment experiences. Unblock execution for high-upside strategic bets designed to reduce identity-risk barriers for sensitive content and productize viral, low-effort creation formats that convert passive consumers into active contributors. • Serve as the technical anchor for the Contribution engineering team and influence the broader Content Ecosystem org. Translate complex product requirements into actionable technical roadmaps and drive alignment across Web, iOS, and Android platforms. • Thoughtfully utilize AI-assisted development tools to accelerate prototyping, system design, and coding, while applying rigorous judgment to validate and own the final outputs. Evangelize AI as a tool. • Lead the engineering of highly performant client infrastructure. You will tackle challenges like zero-latency rich-text rendering, resilient edge-optimized media upload pipelines, and complex state synchronization for offline and online editing to maximize global contribution success rates.

Role Description Noblis is seeking a Full‑Stack Developer with demonstrated experience in Artificial Intelligence (AI) and Machine Learning (ML) applications to support the Department of War (DoW). Active Secret clearance is preferred; candidates must be eligible for a DoW Secret clearance. This is a remote position supporting a senior‑level Federal client based in Washington, D.C. and may require up to 25% travel to support DoW program activities. The selection process includes two interview phases: an initial discussion and a hands-on technical demonstration of full-stack capabilities. Job Duties and Responsibilities include: - Integrating AI/ML‑enabled features: - Supporting automated summaries, recommendations, and technology discovery. - Developing the Dashboard full‑stack prototype: - Building a secure, scalable dashboard for the Department of War (DoW) Sustainable Technology Evaluation and Demonstration (STED) Program. - Implementing real‑time data ingestion and processing: - Integrating APIs, data streams, and automated pipelines. - Building backend services and data models: - Supporting technology tracking, Test & Evaluation (T&E) data, and stakeholder inputs. - Developing front‑end components: - Creating responsive, interactive UI elements using modern frameworks. - Implementing data visualizations: - Displaying technology performance, needs, and analytics. - Designing and coding media‑rich components: - Enabling images, videos, documents, and multimedia content. - Supporting Agile development: - Participating in sprints, reviews, and iterative refinement. - Ensuring secure, CAC‑enabled access: - Implementing authentication and role‑based access controls. - Build and Maintain Automation Pipelines: - Building and maintaining configuration files; branching and merging strategies and artifact repositories. Qualifications - US Citizenship is required. Active Secret clearance is strongly preferred. - Experience developing full‑stack web applications. - Experience with backend frameworks (Python, Node.js, Django, Flask, FastAPI, etc.). - Experience with front‑end frameworks (React, Angular, Vue, etc.). - Experience with CI/CD platforms (jFrog, GitHub, etc.). - Experience with real‑time data processing. - Experience with data visualization libraries. - Experience with secure cloud environments. - Experience supporting Agile development. - Experience with LLM based development (Claude, AWS, etc.). Requirements Mid Level - Bachelor’s degree with 3–7 years of experience. - Master’s degree with 1–5 years of experience. - Salary Range: $78,900 – $164,125. Senior Level - Bachelor’s degree with 8+ years of experience. - Master’s degree with 6+ years of experience. - Doctoral degree with 4+ years of experience. - Salary Range: $127,100 – $198,575. Desired Qualifications - Experience supporting DoW or federal technology programs. - Experience integrating multiple data sources. - Experience developing AI/ML‑enabled features. - Experience with microservices or containerized architectures. - Experience developing dashboards for senior stakeholders. - Experience with integrating business intelligence and business development tools. - Experience creating and/or developing apps. Desired Mid Level Certifications - CompTIA Security+ - AWS Developer – Associate - Azure Developer Associate - PCAP – Certified Associate in Python Programming - Certified ScrumMaster (CSM) Desired Senior Level Certifications - AWS Machine Learning – Specialty - Azure AI Engineer Associate - Google Professional Machine Learning Engineer - PCPP – Certified Professional in Python Programming - Certified Kubernetes Application Developer (CKAD) - PMI Agile Certified Practitioner (PMI‑ACP) Benefits - Health, life, disability, financial, and retirement benefits. - Paid leave, professional development, tuition assistance, and work-life programs. - Acknowledgment of exceptional performance through award programs. - Eligibility for full-time and part-time employees working at least 20 hours a week.

• You will take part in planning, designing, and implementing features to build out our Marketplace offering. Helping fleets and shops schedule, complete, and pay for service on the fleet's vehicles and equipment. • You will collaborate closely with Product Managers, Designers, and other Engineers to consistently deliver high-quality software. • You will engage in collaborative design and architecture of features. • You will deliver well-tested, maintainable, and performant code. • You will research, implement prototypes, and spikes as necessary to validate assumptions and technical feasibility. • You will possess a strong voice in the development and planning processes. • You will thoroughly review your peers’ code to ensure quality, consistency, and to share knowledge.

• Own, maintain, and continuously improve the internal Data Collection System (DCS). • Identify and implement enhancements based on stakeholder feedback. • Ensure compliance with internal security and data governance standards. • Design and maintain a secure, scalable access model (roles, permissions, identity integration). • Partner with stakeholders across the organisation to understand data collection needs. • Identify opportunities to standardise and streamline data capture across use cases. • Define and execute a roadmap to modernise the platform. • Establish and maintain coding standards, documentation, and development best practices. • Ensure structured data is accessible and optimised for downstream BI and analytics platforms.