Software Engineer I

DAT•Seattle, WA

3d•$122,000 - $157,000•Hybrid

About The Position

DAT is an award-winning employer of choice and a next-generation SaaS technology company that has been at the leading edge of innovation in transportation supply chain logistics for 45 years. We continue to transform the industry year over year, by deploying a suite of software solutions to millions of customers every day - customers who depend on DAT for the most relevant data and most accurate insights to help them make smarter business decisions and run their companies more profitably. We operate the largest marketplace of its kind in North America, with 400 million freights posted in 2022, and a database of $150 billion of annual global shipment market transaction data. Our headquarters are in Denver, CO, and Beaverton, OR, with additional offices in Seattle, WA; Springfield, MO; and Bangalore, India. For additional information, see www.DAT.com/company The Opportunity Broker Tech builds products for the Convoy Platform at DAT, enabling brokers to match and execute shipments while they work seamlessly within their Transportation Management Systems (TMS). We partner with brokers to transform how they work, grow, and succeed by: Empowering Matching: Building smarter tools and visibility that boost broker match rates and strengthen carrier connections. Fueling Growth: Enabling brokers to expand through better pricing, new freight categories, and integrations. Ensuring Payments: Strengthening and automating broker payment processes to reduce risk and ensure reliability. Enabling Ideal Experiences: Delivering seamless workflows via APIs and webhooks between the Convoy Platform and TMSs, with self-service configuration and onboarding tools. We care as much about how software runs in production as what it does. If you like understanding the full path from a code change to a healthy, observable, safely-deployed service, you'll fit in here.

Requirements

1 to 5 years of professional software engineering experience (or equivalent).
Solid engineering fundamentals: debugging, testing, code quality, and clear written communication.
Familiarity with TypeScript/Node.js/JavaScript (or strong Java/C#/Go experience with willingness to ramp).
Familiarity with SQL databases (schema basics, writing queries, migrations with guidance).
Curiosity about how systems run in production (deployment, monitoring, and reliability) and a willingness to dig in.
Willingness to participate in on-call rotation and incident follow-ups (with support and training).

Nice To Haves

Hands-on exposure to cloud platforms (AWS preferred) and infrastructure-as-code (Terraform, CloudFormation, or similar).
Docker/Kubernetes familiarity.
CI/CD experience (tests in pipeline, safe deploy patterns, feature flags).
Experience with observability tooling (Datadog, OpenSearch/ELK, Prometheus/Grafana, or similar): dashboards, alerts, tracing.
Experience with microservices in production.
Hands-on exposure to Kafka/RabbitMQ/SQS patterns (retries, DLQs, idempotency), or willingness to learn.
Comfort working with APIs (REST preferred; GraphQL a plus) and collaborating on contracts.
Familiarity with React and modern frontend development fundamentals.
Background in transportation/logistics or complex B2B integrations.

Responsibilities

Write, test, and deploy production-quality code with guidance from senior engineers.
Build and maintain backend services in Node.js/TypeScript and contribute to React frontends as needed.
Implement and support message-driven workflows (Kafka/RabbitMQ) using existing patterns and reusable components.
Improve code quality and maintainability as you deliver features (tests, refactors, documentation).
Learn how our services are built, deployed, and operated (containers with Docker, orchestration with Kubernetes, and infrastructure-as-code with Terraform) and make changes to them with mentorship.
Add and improve observability (logs, metrics, traces, dashboards, alerts) so the systems you touch are easy to reason about in production.
Contribute to CI/CD pipelines and safe deployment practices (feature flags, staged rollouts, rollbacks).
Treat operational health as a feature: help tune alerts, reduce toil, and harden the services in your area.
Partner with product and business stakeholders to clarify requirements in a complex domain.
Participate in code reviews (both receiving and giving) and incorporate feedback quickly.
Learn the team's operational practices: monitoring, alerts, on-call support, and incident follow-ups.
Grow ownership over time: take on increasingly complex tickets, then small projects, including the infrastructure that supports them.