Solution Engineer
Manifest Solutions
Columbus, OH, United States
6 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Artificial Intelligence
Amazon Web Services
Automation of Tests
Microsoft Azure
Batch Processing
Cloud Computing
Cloud Engineering
Information Systems
Continuous Integration
Data Discovery
DevOps
+18 more
File Transfer
Metadata
Performance Tuning
Software Engineering
Systems Integration
Unstructured Data
Enterprise Data Management
Google Cloud
Data Classification
Data Ingestion
Event Driven Architecture
Infrastructure Automation Frameworks
Information Technology
Data Lineage
Deployment Automation
Data Management
Machine Learning Operations
Api Design
Job description
Manifest Solutions is currently seeking a Senior Solution Engineer for an onsite position in Gahanna, OH.
- Design scalable cloud-native solutions supporting enterprise unstructured data workloads.
- Define reference architectures, patterns, and standards for platform capabilities.
- Develop technology roadmaps aligned to business and platform strategy.
- Ensure solutions meet security, reliability, scalability, and operational requirements.
- Translate business requirements into technical solution designs.
- Design and implement reusable ingestion services supporting: APIs, Batch processing, File transfer, Event-driven architectures, External partner integrations
- Create onboarding patterns for new data sources.
- Establish metadata capture standards during ingestion.
- Support integration of internal and external data providers.
- Build and support cloud-based platform services.
- Implement Infrastructure-as-Code (IaC) practices.
- Develop automation for deployment, provisioning, and platform operations.
- Support monitoring, observability, operational health, and performance optimization.
- Participate in platform support and incident response activities.
- Design metadata structures and data discovery capabilities.
- Support implementation of: Metadata catalogs, Data lineage, Search and discovery, Data classification, Retention policies
- Partner with governance and security teams to ensure compliance requirements are met.
- Integrate annotation and human-review services into platform workflows.
- Support AI/ML lifecycle activities including: Ground-truth data management, Defect taxonomy management, AI feedback capture, Model output integration
- Enable AI metadata storage and retrieval patterns.
- Design workflows that combine automation and human review.
- Support implementation of inspection and validation processes.
- Enable business users to review, correct, and enrich AI-generated results.
- Ensure traceability and auditability of user actions.
- Implement CI/CD pipelines and deployment automation.
- Apply security controls throughout the platform lifecycle.
- Automate testing, monitoring, and operational processes.
- Support resiliency, backup, recovery, and operational readiness activities.
Requirements
- Bachelor’s degree in:
- Computer Science
- Engineering
- Information Systems
- Related technical discipline
- 5+ years of solution engineering, software engineering, platform engineering, or cloud engineering experience.
- Experience designing distributed cloud-native architectures.
- Experience with API design and system integrations.
- Experience working with enterprise data platforms.
- Experience implementing automation and DevOps practices.
- Experience translating business requirements into technical solutions.
- Experience with one or more: AWS, Azure, Google Cloud Platform
Experience with:
- Object storage platforms
- Data ingestion frameworks
- Event-driven architectures
- Modern API technologies
- CI/CD tooling
- Infrastructure as Code
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