• You'll create requirements definitions and technical specifications documentation plus load, manipulate and maintain data between ServiceNow and other systems • You’ll effectively with ServiceNow users and Stakeholders to develop solutions and execute changes • You’ll work with IT managers to generate views and reports as needed • You’ll analyze and fully understand user requirements and current procedures in order to improve system capabilities, automate process workflows, and address scheduling limitations throughout the development and delivery of the ServiceNow roadmap • You'll work with the program management team to develop Service Level Agreement reporting • You'll work with the PowerBi Developer to streamline and automate dashboard reporting • You’ll train colleagues on effective use of ServiceNow • You will support both on-premises and cloud hosted enterprise applications.

• Build and evolve the infrastructure foundations that support Fanvue’s move toward a service-oriented architecture • Enable stream teams to deploy and operate services independently using platform-provided tooling and patterns • Design and maintain AWS infrastructure using AWS CDK (TypeScript), with a strong focus on safety, reuse, and automation • Own and improve CI/CD pipelines, ensuring fast, reliable, and repeatable deployments • Support database architecture evolution, including Aurora PostgreSQL ServerlessV2, service-specific data stores, and scaling strategies • Build internal platform tools and automation to reduce operational toil and improve developer experience • Improve observability and reliability through CloudWatch dashboards, alarms, and SLIs/SLOs • Participate in on-call rotation, lead incident response when needed, and contribute to high-quality post-mortems • Act as a consultative partner to stream teams, helping them make good infrastructure decisions without slowing them down • Contribute to documentation, runbooks, and knowledge sharing to eliminate single points of failure

• Build and extend backend services that power NegotiateAI’s AI-driven procurement platform • Implement LLM- and RAG-based pipelines for spend categorization, benchmarking, and supplier analysis • Develop and maintain agentic workflows that automate analysis, recommendations, and follow-ups • Contribute to the Buyer Portal frontend (React), building clean, usable interfaces for procurement teams • Use AI-assisted coding tools (e.g., Cursor) to accelerate development, debugging, and iteration • Integrate with customer data sources (ERPs, invoices, supplier files) and handle messy, real-world datasets • Collaborate closely with the founding engineer on architecture, trade-offs, and execution • Write clear, maintainable code with strong attention to performance, reliability, and observability

• Architect and guide the design of a scalable, secure ML platform supporting the full ML lifecycle, from data ingestion to model monitoring. • Design and implement infrastructure for model training, hyperparameter tuning, experiment tracking, and model registry. • Orchestrate ML workflows using tools such as Kubeflow, SageMaker, MLflow, or similar. • Collaborate with Data Scientists, MLOps engineers, Data Engineers, and Product Engineering to define best practices for reproducibility, governance, and CI/CD for ML. • Partner with Data Engineers to build robust data pipelines for model-ready datasets. • Optimize ML workload performance across compute and storage layers using cloud-native and open-source solutions. • Lead technical discussions, mentor junior engineers, and help set the technical vision for the ML platform roadmap. • Ensure compliance with security, privacy, and regulatory requirements throughout the ML lifecycle.