Senior Solution Engineer
Manifest Solutions Corp.
- Job
- 31996
- Posted
- Location
- Columbus, OH
- Work type
- Full Time
- Tax terms
- W2, Yearly
- Experience
- Experience open
- Openings
- 1 opening
Skills
- Unstructured Data
- Roadmaps
- Scalability
- Batch Processing
- Provisioning
- Incident Management
- Machine Learning (ML)
- Data Management
- Taxonomy
- Inspection
- Artificial Intelligence
- Security Controls
- Backup
- Recovery
- Computer Science
- Information Systems
- Software Engineering
- Cloud Computing
- DevOps
- Amazon Web Services
About the job
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.
Required Qualifications
- 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