Role Description Join #Ensiteam! 🚀 We are a company focused on custom software development and have been in the market for over 19 years. At Ensitech, we are dedicated to finding highly specialized talent to work with large companies in the United States, Europe, and Canada. Each one of our collaborators works with diverse teams and colleagues around the world in the design and commercialization of software. We look forward to having you as part of our team in the role of Senior Dynamics 365 Finance Developer (X++). - Develop and maintain customizations in X++ for Dynamics 365 Finance & Operations (Finance module). - Design and implement integrations between Dynamics 365 Finance and external systems. - Consume and expose APIs for system integrations. - Collaborate in the creation and refinement of technical documentation (FRD, FDD, TDD) following Microsoft Sure Step methodology. - Work closely with functional and technical teams to ensure alignment with finance business processes. - Support development lifecycle using Azure DevOps and Git. Qualifications - 6+ years of experience in X++ development. - Strong experience in Dynamics 365 Finance & Operations (Finance module). - Proven experience building integrations with Dynamics 365 Finance. - Advanced knowledge of API consumption and integrations. - Experience with Azure DevOps and Git. - Experience with FRD, FDD, TDD documentation under Microsoft methodologies. - Strong knowledge of Mexican laws, fiscal regulations, and local compliance requirements, especially related to financial processes in Mexico. Requirements - Microsoft Certified: Dynamics 365 Finance and Operations Apps Developer Associate (nice to have). - AZ-204 (for integrations/services) (nice to have). - AZ-400 (for advanced DevOps/ALM) (nice to have). Soft Skills - Strong problem-solving and analytical thinking. - Effective communication with cross-functional teams. - Proactive and results-oriented mindset. - Ability to work in fast-paced project environments. Benefits - 100% remote opportunity. - Competitive compensation package. - Career growth with international clients. - Opportunities to work with cutting-edge technologies. - A team focused on personal development and learning.

• Collaborate closely with business stakeholders and other engineers to deliver impactful solutions. • Integrate services and product features with databases (Cloud SQL, Redis) and messaging queues (Pub/Sub). • Contribute to the development of our MLOps tools for ML models. • Build and optimize large-scale data processing pipelines for feature extraction and data transformation using BigQuery and Dataflow. • Train, evaluate, deploy, and monitor machine learning models on Vertex AI to improve bidding performance. • Stay fast and focused, balancing speed, performance, and scalability to deliver impact.

• Own the ideation and execution of high-impact projects that directly influence the user experience and business outcomes • Flesh out and evolve the Conversational AI Engineering roadmap alongside product and technical leadership • Incept projects: identify opportunities, design solutions, and lead implementation • Guide integration efforts with external agencies and insurance carriers • Normalize, rank, and evaluate results using ML-based predictions to determine optimal user paths • Work closely with our Data Science team to leverage MLMs in tools like DataRobot for retention forecasting and decision logic • Ensure scalability and performance across the platform as we continue to grow

• Implement AI-driven operations, including log analysis, automated infrastructure updates, and predictive scaling alerts • Benchmark cloud and edge services to improve performance and scalability • Build self-healing infrastructure pipelines that demonstrate advanced AI capabilities • Design, automate, and manage infrastructure using Terraform and AWS services (ECS/Fargate, RDS, S3, IAM) • Build and maintain CI/CD pipelines using GitHub Actions for efficient deployments • Implement and manage observability tools such as Prometheus, Grafana, OpenTelemetry, and Sentry • Handle containerization using Docker and troubleshoot performance issues under load • Collaborate with backend teams to ensure low-latency, scalable, and cost-effective services • Progress into a Staff Platform Engineer or Lead SRE role with end-to-end platform ownership • Contribute to building scalable deployment frameworks for enterprise use cases • Help define best practices for AI-driven DevOps and infrastructure management.