Lead the architecture, design, and implementation of large-scale cloud-native, full-stack, and AI-powered systems.
Drive technical direction for AI engineering initiatives, including LLM integration, retrieval-augmented generation (RAG), grounding strategies, embeddings, and agentic AI patterns.
Design, re-architect, and extend enterprise AI agents and intelligent workflows used across business-critical scenarios.
Provide senior technical guidance on distributed systems, microservices, event-driven architectures, and cloud integration patterns.
Review and approve system designs covering APIs, data stores, messaging systems, and enterprise integrations.
Define and enforce engineering standards for security, scalability, reliability, performance, and maintainability.
Lead hands-on development, code reviews, performance tuning, and complex troubleshooting in production environments.
Partner with cross-functional teams to define scope, technical requirements, delivery milestones, and release plans.
Drive CI/CD, automated testing, deployment strategies, and operational improvements for cloud and AI systems.
Mentor senior and mid-level engineers, raising technical quality and engineering maturity across the organization.
Take ownership of incident response, root cause analysis, and continuous reliability improvements for live services.

Requirements

10+ years of overall experience in software engineering, including large-scale enterprise systems.
Strong hands-on experience with full-stack development using modern backend and frontend technologies.
Deep expertise in cloud architecture and distributed systems, including microservices, event-driven design, and observability.
Proven experience designing and implementing scalable, secure cloud-native applications.
Hands-on experience building AI-powered features using LLMs, RAG pipelines, embeddings, and grounding techniques.
Strong proficiency in backend development (C#, .NET or equivalent), REST API design, and modern web technologies.
Experience working across the full software development lifecycle: architecture, design, development, testing, deployment, and operations.
Demonstrated ability to lead technical design discussions and make complex architectural decisions.
Strong communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.

Benefits

Medical, dental, and vision coverage
Flexible Spending Account
401k program
Competitive PTO offerings
Parental Leave
Opportunities for professional growth and development

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

cloud-native systemsfull-stack developmentAI-powered featuresLLM integrationretrieval-augmented generationmicroservicesevent-driven architectureREST API designC#.NET

Soft skills

technical guidancementoringcommunicationincident responseroot cause analysiscollaborationleadershipproblem-solvingtechnical design discussionsengineering maturity

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Software Engineering