Senior Software Engineer, Backend (Platform)

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.

We're looking for a talented Senior or Staff-level Backend Software Engineer to join our Platform Engineering team and help build the foundation that powers intelligent transportation logistics technology.

Platform Engineering is the team our engineers build on. You'll own the systems, services, and tooling that let product teams ship quickly and safely — and you'll contribute directly to key customer-facing projects where platform capabilities are the product. This is a role with leverage: your work multiplies across every team and every customer deployment. The role spans internal tool Development, Infrastructure, and Security, ensuring that our engineering team can build, deploy, & operate systems with speed, safety, & confidence.

In this role, you’ll help define best practices, guide cross-functional initiatives, & design systems that scale with our rapidly growing platform. You’ll partner closely across engineering & product teams, balancing reliability & velocity while mentoring others & raising the overall technical bar. You’ll work with Python, Django, AWS, and Terraform to design and scale the backend and infrastructure behind our platform. You’ll influence technical direction, architectural standards, and how our engineering organization operates as it grows.

This is a full-time, remote-friendly position open to candidates across the United States. For those who prefer an in-person experience, our New York City headquarters offers a collaborative office environment. Ready to make an impact? Join us and help redefine the logistics industry!

Educated : Bachelor’s or Master’s degree in Computer Science, or equivalent technical experience

Experienced :

8+ years of hands-on Infrastructure & Platform Engineering experience

Proven track record of scaling cloud-native systems

Strong Python 3 expertise

Strong AWS expertise

Familiarity with event-driven architectures (Kafka or similar).

Familiarity with Relational databases (Postgres, DynamoDB, MySQL, SQL Server, or similar)

Hands-on IaC tool experience (i.e. Terraform, Spacelift, CloudFormation), observability , monitoring , & incident response .

Hands on containerization and orchestration experience (i.e. Docker, Kubernetes, ECS)

Optimization-Driven:

Proven track record of improving DevEx by leveling up tooling, pipelines, & automation.

Experience improving monorepo developer workflows (i.e. Bazel, Buck, Pants).

Security-Focused :

Knowledge of compliance frameworks (SOC 2, ISO 27001, etc.) and how to operationalize them.

Experience leading security initiatives (i.e. hardening environments; building secure-by-default workflows)

Leader : A history of mentoring engineers and shaping technical direction across teams.

Experience with transportation systems (e.g., TMS, ELD) or scientific/analytics applications is a significant advantage.

Familiarity with modern data tools such as dbt and DuckDB is highly valued.

At Optimal Dynamics, our entire infrastructure runs on 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, SQL, and Preset

IaC: Terraform and Spacelift

Cloud: AWS (ECS/RDS/S3/etc)

CI/CD: Bazel, Github, AWS CodePipeline/CodeBuild

GenAI: Anthropic Claude, ChatGPT Codex, GitHub Copilot

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.

Compensation: $180 - $220k in on-target earnings