> Markdown version of [/jobs/ext/3752775-solution-engineer](https://www.wearedevelopers.com/jobs/ext/3752775-solution-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Solution Engineer

- **Company:** Manifest Solutions
- **Location:** Columbus, OH, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** 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, 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
- **Published:** October 15, 2026
- **Apply:** https://www.juju.com/job/16_8f6fc19d

## About the Role

* 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

## 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.