Jobs at Orion Innovation

Lead the functional and technical architecture of strategic Manhattan WMS implementations, ensuring robust integrations, operational scalability, and production stability from design to Go-Live.

Full Stack Developer building cloud-native, AI-first SaaS voice platforms. Own features end-to-end: scalable backend services, responsive React UIs, REST/GraphQL APIs, database integrations, and telephony/SIP integration while using AI-assisted development tools.

Design and optimize scalable data platforms using Microsoft Fabric and Databricks; create data pipelines and models for enterprise analytics while collaborating with data science teams.

The role supports managing and prioritizing the Product Backlog, defining user stories and acceptance criteria, collaborating with stakeholders, and assisting in product roadmap definition while focusing on continuous learning and value generation.

Lead end-to-end cutover and Go-Live activities for SAP S/4HANA implementations. Plan and execute hour-by-hour cutover plans, coordinate cross-functional teams, run mock cutovers and war rooms, manage data migration and reconciliations, mitigate risks, oversee hypercare, and report to PMO and executives using corporate PMO tools.

Design, build, and deploy agentic AI systems and autonomous agents to auto-generate Process Definition Documents, orchestrate workflows, perform prompt engineering, integrate with RPA and automation tools, optimize processes, and ensure governance, risk management, and responsible AI practices.

The QA Network Engineer will test AI datacenter networking solutions, focusing on SONiC systems, smart NIC integration, and performance for AI workloads.

Senior Data Engineer responsible for designing and implementing scalable ETL/ELT pipelines, integrating enterprise systems, and building real-time and batch data solutions on Azure using Kafka, Spark and Databricks. Ensure data quality, availability, and performance while collaborating with data, architecture, and business teams.

The Senior Data Architect leads pre-sales engagements, designs end-to-end cloud and data architectures, and partners with clients on technological transformations while ensuring scalability, security, and alignment with business goals.

The role involves executing email marketing campaigns using Salesforce Marketing Cloud, managing databases, optimizing campaigns through A/B testing, and collaborating with teams for effective communication.

Design and build end-to-end Generative AI features: implement Python-based LLM backends and orchestrations, integrate LLM APIs, create React frontends to surface AI outputs, and own prompt design, embedding pipelines, and deployment workflows.

Provide support and enhancements for bench instrumentation applications and IT tools in a GxP environment, including administration and configuration tasks.

Own and architect the enterprise GitHub platform: define standards, security and control models, GitHub-native workflows, and enable developer productivity. Govern pipeline-based security (SAST/DAST/SCA), secrets protection, and audit-ready controls; partner with Security, Risk, and Operations to drive platform improvements and transition from Azure DevOps.

Design, develop, optimize, and manage Azure SQL/SQL Server databases for cloud-native apps. Build T-SQL objects, ensure performance, security, and scalability. Implement CI/CD database deployments using PowerShell, Azure DevOps, and GitHub; perform schema versioning, migrations, partitioning, and production troubleshooting.

Diseñar y optimizar pipelines CI/CD con GitHub Actions; administrar clusters Kubernetes (EKS) y contenedores Docker; gestionar imágenes en ECR; provisionar infraestructura con Terraform o CloudFormation; configurar CloudFront, Route 53 y S3; implementar monitoreo y observabilidad; y aplicar prácticas de seguridad (IAM, VPC, Secrets Manager, KMS, IRSA) para aplicaciones escalables y altamente disponibles.

Develop and maintain automation frameworks for networking and cloud environments. Automate deployment and configuration management while collaborating with networking teams to enhance automation practices.

Design, develop, maintain and optimize ETL processes using Informatica PowerCenter. Build data transformation flows, develop Oracle SQL queries, create Shell scripts on Unix/Linux, monitor jobs with Control‑M, manage source control with Git/GitHub, and support Java microservice solutions following SOLID principles.

The Azure Cloud Application Architect designs and implements cloud-native solutions on Azure, providing technical leadership and mentoring. Responsibilities include establishing governance, cost optimization, security best practices, and engaging in pre-sales and post-sales activities while collaborating with various teams.

The role involves documenting operational processes, creating structured technical documentation, designing process diagrams, and standardizing documentation while collaborating with technical teams.

Own end-to-end ML infrastructure for a large-scale document intelligence platform on AKS: configure GPU clusters, manage CUDA/cuDNN runtimes, design autoscaling (KEDA), orchestrate Kubernetes jobs and model serving, optimize PyTorch/Hugging Face BERT-family inference (batching, FP16, profiling), and integrate with Azure services (ADLS Gen2, Key Vault, VNet).