Sr. Software Engineer, Backend

Reposted Yesterday
Hiring Remotely in USA
Remote
Senior level
Artificial Intelligence • Information Technology • Logistics • Machine Learning • Software
The Role
As a Senior Backend Software Engineer, you will collaborate with cross-functional teams to design, build, and enhance customer-centric solutions, improve system performance, and adapt to a dynamic startup environment at Optimal Dynamics.
Summary Generated by Built In

About our company

Optimal Dynamics is on a mission to automate and optimize the logistics industry through the use of advanced analytics. We are built on over four decades of groundbreaking research and development at Princeton University, representing the pinnacle of technological advancement in the logistics and transportation industry. Our customers experience sustained, tangible results with double-digit revenue lift after integration. Optimal Dynamics is a high-growth early-stage company with ~60 employees and $55M in funding. 

About our team

We are a team of bright, kind, and solution-oriented people focused on creating value for our customers. We can solve problems individually, but understand that the best solutions are found when the team brainstorms ideas together. We are excited about balancing the need to deploy new solutions quickly and designing solutions that are secured, reliable, maintainable and scalable for the long run.

Overview

We're looking for a talented Senior Backend Software Engineer to join our growing Product Engineering team and help shape the future of intelligent transportation logistics technology.

At Optimal Dynamics, you'll work with Python, Django, React, and Terraform to build and scale our cutting-edge platform. As a core contributor, you'll have the opportunity to influence both the technical direction and product strategy, playing a pivotal role in the development of our next-generation solutions.

This is a full-time, remote-friendly position open to candidates across the United States. For those who prefer an in-person experience, our headquarters in New York City offers a collaborative office environment.

Ready to make an impact? Join us and help redefine the logistics industry!

What you will do

  • Collaborate closely with Product Managers, Data Scientists, and fellow Engineers to design, build, and continuously enhance the products our customers rely on every day.
  • Develop customer-centric solutions that directly address user needs and deliver exceptional value.
  • Drive system excellence by improving quality, efficiency, scalability, stability, and security across our platform.
  • Embrace the dynamic startup environment—wear multiple hats, tackle new challenges, and contribute wherever needed to fuel our growth!

Who you are

  • BSc or MSc degree in Computer Science or equivalent technical experience.
  • 5+ years professional, hands-on product engineering experience designing, building and maintaining complex solutions with emphasis on full stack solutions.
  • Strong proficiency in Python 3
  • Practical experience with Django
  • Hands-on experience with major cloud platforms such as AWS, GCP, or Azure.
  • Expertise in relational databases, including Postgres, MySQL, SQL Server, or similar technologies.

Nice to have (Bonus Points)

  • Experience with transportation systems (e.g., TMS, ELD) or scientific/analytics applications is a significant advantage.
  • Proficiency in Infrastructure as Code (IaC) tools like Terraform.
  • Familiarity with modern data tools such as dbt and DuckDB is highly valued.
  • Experience with monorepo management tools (e.g., Bazel, Buck) is a plus.
  • Skilled in front-end JavaScript frameworks, particularly React.

About our tech stack and development practices

At Optimal Dynamics, our entire infrastructure runs on Amazon AWS, leveraging a wide range of services including DynamoDB, Aurora, SSM, and SQS to power our intelligent logistics platform.

Our tech stack includes:

  • Backend & AI: Python 3 and Java
  • Frontend: JavaScript/TypeScript for our web-based SPA
  • Data Stack: Trino, Dagster, dbt, DuckDB, and Preset

We follow modern development best practices with all code stored on GitHub. Every pull request undergoes thorough code reviews, is fully unit tested, and deployed through our CI/CD pipeline for continuous quality assurance.

Pay Range: $160,000 - $180,000 annually, based on experience and qualifications.

Benefits

  • Competitive compensation, including Series B level equity
  • Health / Dental / Vision 100% covered for employee and 50% for dependents
  • Life Insurance, with optional supplemental insurance
  • Flexible Spending Account (FSA)
  • Health Spending Account (HSA)
  • 401(k) with match
  • Unlimited PTO (vacation, personal days, sick days, jury duty, military leave, bereavement)
  • 11 Holidays
  • Paid Parental Leave for all employees
  • Short-term and Long-term Disability Insurances, and AD&D Insurance
  • Fitness membership reimbursement
  • Commuter benefits
  • Flexible work from home policy
  • Employee discounts

Optimal Dynamics is proud to be an equal opportunity employer that celebrates diversity and is committed to creating an inclusive workplace with equal opportunity for all applicants and employees. Our goal is to recruit the most talented people from a diverse candidate pool regardless of race, color, ancestry, national origin, religion, disability, sex (including pregnancy), age, gender, gender identity, sexual orientation, marital status, veteran status, or any other characteristic protected by law.
Optimal Dynamics is committed to working with and providing access and reasonable accommodation to applicants. If you require an accommodation, please reach out to [email protected] once you've begun the interview process. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

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The Company
HQ: New York, NY
68 Employees
On-site Workplace
Year Founded: 2018

What We Do

Optimal Dynamics introduces next-generation artificial intelligence to enable logistics companies to better plan, optimize and automate strategic, tactical and real-time operational decisions.

Based on nearly 40 years of extensive research & development at Princeton University in conjunction with decades of real-world application, CORE.ai reimagines how private fleets, dedicated capacity and for-hire carriers think about planning and operating their truckload assets, drivers and brokerage arms where applicable. Our platform enables users to ask hyper-detailed strategic "what if" questions via a simulation-based environment. We then leverage those outputs to maximize network profitability, increase asset revenue/utilization, reduce unnecessary cost and mitigate risk, all while keeping drivers moving in the most efficient manner.

Optimization is nothing new, but it’s extremely difficult to get right. Through the use of High-Dimensional AI, CORE.ai has been proven to achieve outsized impacts for our customers

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