Senior Software Engineer

DAT•Denver, CO

6d•Hybrid

About The Position

DAT Freight & Analytics is seeking a Senior Software Engineer passionate about architecting and implementing highly scalable, reliable, and observable systems. As a key technical leader, you will be responsible for the design, development, and delivery of core backend services, tackling complex technical challenges, setting architectural direction, and championing best practices. This is a highly visible role for an expert who wants to have a major impact on our platform.

Requirements

At least 5 years of experience in software development with significant experience as a software engineer or higher and a track record of delivering complex, scalable systems.
Deep expertise in Node.js and the related ecosystem.
Extensive experience designing, deploying, and managing applications on AWS.
Expertise with containerization and orchestration, specifically Docker and Kubernetes.
Proficiency in user interface frameworks such as Angular, React and/or web components.
Proficiency in setting up and using Datadog for monitoring, logging, and observability.
Strong understanding of microservice architecture, event-driven systems, and distributed systems design patterns.
Expertise with relational and NoSQL databases, and messaging systems like Kafka.
Excellent communication skills and the ability to articulate complex technical concepts to a variety of audiences.
A proven ability to mentor and lead technical projects with high ambiguity.
A Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.

Responsibilities

Lead the design and implementation end to end of large-scale, high-performance backend systems and an intuitive user experience.
Drive the adoption of modern software development practices, including automated testing, conduct code reviews, CI/CD pipelines, and infrastructure-as-code.
Architect, maintain and monitor robust, scalable and reliable services on AWS, leveraging services like EKS, EMS (Kafka), and S3.
Mentor other engineers and provide technical guidance to elevate the skill level of the entire team.
Lead the response and resolution for complex production incidents, perform root cause analysis, and implement preventative measures.
Work closely with cross-functional teams, including product managers, DevOps, and UX to deliver timely, high-quality and performing end-to-end solutions.
Design and implement comprehensive monitoring and alerting strategies with Datadog to ensure the health, reliability, and performance of production systems.