Solution Engineer-Unstructured Data Platform

We are seeking an experienced, hands-on Solution Engineer to help design, build, integrate, and support an enterprise Unstructured Data Platform. This role will focus on developing scalable, cloud-native solutions that enable efficient data ingestion, storage, management, governance, and AI-driven capabilities., Platform Architecture & Solution Design

• Design and implement scalable, cloud-native solutions for enterprise unstructured data platforms.
• Develop technical architectures, standards, and reusable platform components.
• Translate business requirements into effective technical solutions.
• Ensure platform solutions meet security, reliability, scalability, and performance requirements.
• Contribute to technology roadmaps and long-term platform improvements.

Data Ingestion & Integration

• Design and develop reusable data ingestion services using APIs, batch processing, file transfers, and event-driven architectures.
• Build integration solutions for internal systems and external data providers.
• Establish standardized processes for onboarding new data sources.
• Implement metadata capture and management practices.

Cloud & Platform Engineering

• Build, deploy, and maintain cloud-based platform services.
• Implement Infrastructure as Code (IaC) and deployment automation.
• Support platform monitoring, observability, troubleshooting, and performance optimization.
• Participate in incident response and ongoing platform support activities.

Metadata, Governance & AI Enablement

• Develop metadata management, data discovery, and search capabilities.
• Support data catalogs, lineage tracking, classification, and retention requirements.
• Integrate AI/ML capabilities, including annotation services, model outputs, and AI-generated metadata.
• Design workflows that combine automation with human review and validation.
• Ensure data traceability, auditability, and compliance with security standards.

DevSecOps & Automation

• Develop and maintain CI/CD pipelines.
• Automate testing, deployment, provisioning, and operational processes.
• Implement security best practices throughout the development lifecycle.
• Support platform resiliency, backup, recovery, and operational readiness.

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field.
• 5+ years of experience in solution engineering, software engineering, platform engineering, or cloud engineering.
• Experience designing and implementing distributed, cloud-native architectures.
• Hands-on experience with at least one major cloud platform: AWS, Azure, or Google Cloud Platform (GCP).
• Strong understanding of API development, system integrations, and event-driven architectures.
• Experience with enterprise data platforms, object storage, and data ingestion frameworks.
• Experience implementing CI/CD pipelines, Infrastructure as Code, and DevOps automation.
• Ability to translate business requirements into scalable technical solutions.
• Strong troubleshooting, problem-solving, and communication skills.
• Ability to collaborate with Product Owners, Data Engineers, Platform Engineers, Data Scientists, and business stakeholders., * Experience working with unstructured data, including images, documents, video, LiDAR, or sensor data.
• Familiarity with metadata catalogs, data governance, and data lineage.
• Experience integrating AI/ML services or supporting AI-enabled data platforms.
• Knowledge of human-in-the-loop workflows, data annotation, or AI model validation.
• Experience developing reusable enterprise platform services.
• Familiarity with monitoring, observability, and cloud security best practices., * Bachelor’s (Required), * Solution/software/platform engineering: 5 years (Required)

Pay: From $60.00 per hour

Expected hours: 40.0 per week

Benefits:

• Dental insurance
• Health insurance
• Life insurance
• Vision insurance