Sr. Platform Solutions Engineer

Optimal Dynamics is a high-growth company focused on innovation in freight and transportation planning. The Sr. Platform Solutions Engineer plays a critical role in deploying the Optimal Dynamics platform and ensuring customer success by translating solution designs into data-driven configurations and validating optimization model outputs.

Responsibilities:

• Design and implement reliable data pipelines to ingest, transform, and load transportation data from diverse customer sources
• Integrate the Optimal Dynamics platform with customer systems using APIs, SFTP, flat files, and direct database connections
• Ensure data quality, completeness, and alignment with platform requirements and optimization needs
• Troubleshoot data or integration issues quickly and effectively in coordination with internal and customer teams
• Calibrate optimization and simulation models to reflect real-world operational constraints and customer objectives
• Collaborate with Solutions Engineers to translate solution design documents into and executable platform configurations
• Iterate on model parameters and technical settings based on output validation, performance metrics, and user feedback
• Validate that optimization recommendations align with expected outcomes and customer business rules
• Partner with Solutions Engineers to align data and model configurations with solution intent as a core technical lead on projects
• Participate in project planning, milestone tracking, and customer meetings, ensuring transparency and alignment
• Provide clear documentation of data flows, configurations, and technical decisions to support knowledge transfer and scaling
• Support feedback loops between Customer Success, Product, & Engineering teams
• Monitor system performance and model behavior during and after deployment to ensure solution effectiveness
• Identify calibration or integration updates based on operational feedback and observed data patterns
• Provide technical support to transitioned customers, including troubleshooting issues and resolving support tickets in coordination with the Customer Support team
• Serve as an escalation point for complex platform-related issues post-deployment
• Contribute to the continuous improvement of our deployment frameworks, tooling, and playbooks

Requirements:

• BSc or MSc degree in Computer Science, Engineering, Data Science, Math, or equivalent industry experience
• 5+ years of professional, hands-on product or data science engineering experience designing, building, and maintaining complex solutions with emphasis on full-stack solutions
• Proficiency in Python 3
• Hands-on experience with major cloud platforms (especially AWS)
• Hands-on relational database experience (i.e. Postgres, MySQL, SQL Server)
• Knowledge of ops research, optimization, and/or simulation models
• Some background experience in ML
• Experience with transportation optimization: i.e. network planning, asset-to-load assignment, or routing and dispatch decision support
• You design and deploy technical solutions with a clear focus on customers' goals and constraints
• You work methodically to validate assumptions, spot discrepancies, and optimize system performance
• You partner naturally with engineers, PMs, and executives to deliver end-to-end solutions
• You take initiative, value follow-through, and quality output
• You translate complex technical issues into actionable insights for both internal teams and external partners
• You're driven by continuous learning, adapting, and bringing best practices to your work
• Proficiency in IaC (preferably Terraform)
• Familiarity with modern data tools such as dbt and DuckDB
• Experience with monorepo management tools (e.g., Bazel, Buck)