Remote Employment $150,000 - $175,000 USD

Optimal Dynamics is hiring a Sr. Platform Solutions Engineer

About the Role

The Sr. Platform Solutions Engineer (SPSE) is responsible for deploying the Optimal Dynamics platform and ensuring sustained success for existing customers. This role involves translating solution designs into data-driven configurations, working within customer data environments, validating optimization model outputs, and serving as a technical bridge between Solutions Engineering, Product, and customers.

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
  • Customer-Focused Executor: You design and deploy technical solutions with a clear focus on customers’ goals and constraints
  • Analytically Precise: You work methodically to validate assumptions, spot discrepancies, and optimize system performance
  • Collaborative Leader: You partner naturally with engineers, PMs, and executives to deliver end-to-end solutions
  • Accountable Owner: You take initiative, value follow-through, and quality output
  • Technical Translator: You translate complex technical issues into actionable insights for both internal teams and external partners
  • Growth Focused: You’re driven by continuous learning, adapting, and bringing best practices to your work

Preferred Qualifications

  • Proficiency in IaC (preferably Terraform)
  • Familiarity with modern data tools such as dbt and DuckDB
  • Experience with monorepo management tools (e.g., Bazel, Buck)

Technical Stack

Python 3, Java, AWS, DynamoDB, Aurora, SSM, SQS, Trino, Dagster, dbt, DuckDB, Preset

Benefits

  • Backed by top-tier investors including Bessemer Venture Partners, The Westly Group, Activate Capital, and Koch
  • High-growth environment with Series C funding led by Koch Disruptive Technologies
Required Skills
Python 3JavaAWSDynamoDBAuroraSSMSQSTrinoDagsterdbtCloud EngineeringRelational DatabasesFull-Stack DevelopmentData EngineeringProduct Engineering Python 3JavaAWSDynamoDBAuroraSSMSQSTrinoDagsterdbtCloud EngineeringRelational DatabasesFull-Stack DevelopmentData EngineeringProduct Engineering
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About company
Optimal Dynamics
Built on over four decades of pioneering research at Princeton University, our platform represents the leading edge of innovation in freight and transportation planning. We help customers unlock double-digit revenue gains and drive smarter, data-driven operations at scale. With the recent close of our Series C funding round led by Koch Disruptive Technologies, we’re entering an exciting new phase of growth. Today, Optimal Dynamics is a high-growth company of ~70 employees, backed by top-tier investors including Bessemer Venture Partners, The Westly Group, Activate Capital, and Koch. We're on a mission to redefine the way logistics decisions are made—and we’re just getting started.
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Job Details
Category infrastructure
Posted 4 hours ago