Sr. Software Engineer at Echo Global Logistics in Remote

Sr. Software Engineer Location: Remote As a Senior Software Engineer, you will be a technical leader who architects and delivers complex, cloud native solutions that advance our platform transformation. You will combine deep technical expertise in cloud-native architectures with AI-augmented workflows to accelerate delivery, elevate engineering quality, and solve complex logistics and platform challenges at scale. You will tackle our most challenging technical problems and make architectural decisions that impact multiple teams and systems. In this role, you will be an expert in GoLang, Python, React or similar modern languages, designing  high-performance microservices and event-driven architectures. 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. CORE Responsibilities: AI-Augmented Development Define and lead adoption of GenAI coding workflows using tools such as GitHub Copilot, Claude Code, Cursor,  and OpenAI APIs - actively guiding, not passively accepting, AI-generated output. Design and operationalize agentic, multi-step workflows to automate feature development, bug triage,  and documentation pipelines. Establish prompt engineering standards, validation frameworks, and team playbooks that ensure  consistent, high-quality AI-assisted development across the organization. Outcome-Driven Engineering Own complex technical domains end-to-end - from design to production - with a clear line of sight to  business metrics such as cycle time, defect rates, and system uptime. Design high-performance microservices and event-driven architectures. Drive measurable productivity improvements by replacing manual effort with intelligent automation  at every stage of the SDLC. AI Governance & Quality Oversight Act as the critical human-in-the-loop - rigorously reviewing AI-generated code for hallucinations,  security vulnerabilities, architectural gaps, and logical flaws before they reach production. Apply security awareness across AI tooling (OWASP Top 10 and AI-specific attack surfaces) and  enforce standards that protect system integrity. Conduct architectural reviews and code reviews that elevate both human-written and AI-generated  contributions to production quality. Basic Qualifications: Bachelor’s degree in computer science or a related technical field 5+ years of professional software engineering experience with GoLang, Python, React, or  equivalent modern stack 3+ years of hands-on experience with AWS/Azure cloud services and serverless architectures Proven experience leading technical design, architecture decisions, and cross-team technical  initiatives Demonstrated experience mentoring and coaching engineers Active, hands-on proficiency with at least one AI coding assistant (GitHub Copilot, Claude Code, Windsurf, Cursor, or equivalent) Preferred Qualifications: 7+ years of professional software engineering experience 5+ years building enterprise-scale, cloud-native platforms Deep expertise with AWS serverless stack: Lambda, Step Functions, EventBridge, AppSync Practical experience building agentic workflows using LangChain, CrewAI, AutoGen, or similar  frameworks Hands-on experience integrating AI/ML models or LLM-based agents into production workflows Strong background in event-driven architectures, distributed systems, and MACH architecture  principles Experience with observability platforms, distributed tracing, and SRE practices Track record leading platform migrations, modernization initiatives, or post-acquisition technical  integrations Expertise in infrastructure as code and GitOps practices AWS Certifications (Solutions Architect Professional or Developer Professional) Experience in logistics, transportation, or supply chain technology domains #LI-SG1 #Remote Benefits For more information about our benefit offerings, please visit our careers page at https://www.echo.com/company/careers. Compensation $112,498.00-163,571.00 per year This role is eligible for a bonus that is based on a combination of personal and business performance.