Bachelor's degree in computer science, Engineering, or a related technical field
At least 5 years of professional software development experience
Strong proficiency in .NET (C# / ASP.NET Core) for backend API and service development
Proven experience leading technical design and architecture decisions
Hands-on experience building production-grade Angular applications
Working knowledge of containerization using Docker and orchestration via Kubernetes or AKS
Demonstrated experience working within a microservices architecture
Hands-on experience integrating AI/ML models into production workflows
Strong background in event-driven architectures and distributed systems
Experience with observability platforms, distributed tracing, and SRE practices
Track record of leading platform migrations or modernization initiatives
Expertise in infrastructure as code and GitOps practices
Experience working in Agile/Scrum environments
7+ years of professional software development experience
3+ years of experience deploying and maintaining services on Microsoft Azure, with direct exposure to Azure Kubernetes Service (AKS)
Familiarity with event-driven architecture patterns and message brokers (e.g., Azure Service Bus)
Experience with SQL Server and/or NoSQL (MongoDB) databases in production environments
Hands-on use of AI-assisted development tools - particularly Claude Code - for code generation, refactoring, or review workflows
Proven ability to diagnose production issues with teleme
Additional Information
Echo Global Logistics is a leading provider of technology-enabled transportation management services. As a third-party logistics provider, we simplify As a Senior Software Engineer - Full Stack, you will architect and be a core technical contributor on a cross-functional Agile team responsible for designing and delivering high-quality, cloud-native applications across our platform portfolio. You will bring deep expertise in .NET and Angular to build scalable, maintainable full-stack solutions that serve carriers, shippers, and internal operations users. You will work within a microservices architecture, contribute to containerized deployments on Azure Kubernetes Service (AKS), and help drive engineering quality across a distributed team of onshore and offshore engineers.
In this role, you will lead technical initiatives, establish patterns for AI/ML integration, and champion practices that improve system reliability, scalability, and security. You will conduct architectural reviews, elevate code quality through mentorship and rigorous code reviews, and serve as a technical resource for your team and adjacent teams. You will have deep expertise in serverless technologies and understand how to balance innovation with operational excellence.
Your responsibilities will include owning complex technical domains, influencing engineering standards, driving incident retrospectives, and ensuring solutions meet our reliability and scalability targets. You will collaborate closely with Distinguished Engineers, architects, and product leadership to align technical decisions with business strategy. You will model a culture that values engineering excellence, scope discipline, and practical problem-solving-where "reliable, accurate, scalable, and trusted" takes precedence over theoretical perfection. You will communicate technical concepts effectively to diverse audiences and build consensus across the organization.
The ideal candidate pairs strong technical depth with collaborative instincts - someone who writes clean, well-tested code, participates meaningfully in architecture discussions, and helps elevate the engineers around them. You are comfortable navigating a fast-moving product environment and are energized by modern development practices, including the use of AI-assisted development tools such as Claude Code to accelerate delivery and improve code quality. What You'll Do
Own the design, development, testing, and support of full-stack features across .NET backend services and Angular frontend applications
Build and maintain APIs and microservices in a distributed, cloud-native architecture
Contribute to container orchestration and deployment workflows using Azure Kubernetes Service (AKS) and Docker
Collaborate with product managers, architects, and cross-functional Agile teams to translate business requirements into robust technical solutions
Participate in code reviews, architectural discussions, and sprint ceremonies; provide technical mentorship to junior engineers
Identify and address performance, reliability, and scalability gaps across assigned services
Leverage AI-assisted development tools (such as Claude Code) to accelerate implementation, code review, and documentation workflows
Support production systems, contribute to incident retrospectives, and implement preventive engineering improvements
Stay current with emerging technologies and advocate for engineering best practices within the team