Top Tech Jobs & Startup Jobs in Denver & Boulder, CO

Design, build, and maintain scalable backend services and APIs using Java and Spring Boot. Implement event-driven architectures with Kafka, manage PostgreSQL/Redis data, ensure performance and reliability, troubleshoot production issues, participate in code reviews, and collaborate across teams for deployments and monitoring.

Lead design and delivery of large-scale agentic AI platforms: define architecture patterns, build multi-agent workflows and RAG systems, optimize performance, establish MLOps/CI/CD practices, run POCs with stakeholders, mentor teams, and maintain technical documentation.

Analyze large complex datasets to identify trends and anomalies, produce actionable insights and financial models, document processes, present findings to stakeholders, manage projects and client relationships, mentor junior staff, and support planning and delivery.

Design and develop SAP Commerce Cloud e-commerce solutions, implement customizations and extensions, integrate third-party systems and APIs, debug Java/Spring applications, handle data migration and SOA integrations, perform code reviews and enforce SDLC standards, and provide application support across staging, testing, and production environments.

Lead end-to-end product design for web and mobile, collaborating with PMs, engineers, and researchers. Conduct user research and testing, create wireframes, prototypes, and design systems, ensure accessibility and data-informed decisions, and support implementation to deliver scalable eCommerce experiences.

Lead frontend React developer building performant, accessible e‑commerce storefronts with Next.js. Connect UIs to APIs/SAP Commerce Storefront API, implement advanced state management and security (OIDC/JWT), write tests, maintain component libraries (Storybook), and manage CI/CD and deployments to cloud/edge platforms.

Design, develop, and scale backend services and agent orchestration workflows for an Agentic AI platform. Integrate LLMs and vector DBs, implement RAG pipelines, build tools/connectors, ensure CI/CD, monitoring, testing, and optimize performance for production AI deployments.

Develop and maintain Python backend services and AI platform components. Build agent orchestration workflows, integrate LLMs and RAG solutions, connect tools and enterprise systems, optimize performance, and create testing and evaluation frameworks for production-ready agentic AI deployments.

Design, build, and maintain scalable backend services, RESTful APIs, and platform components using cloud-native AWS services. Implement microservices, database schemas (relational and NoSQL), containerization and orchestration, integrations with third-party systems, CI/CD, monitoring, security controls, and troubleshooting in development and production environments.

Lead design, automation, and maintenance of highly available AWS infrastructure. Build CI/CD pipelines, manage container orchestration (EKS/Kubernetes), optimize cost and performance, enforce cloud security best practices (IAM, encryption, network controls), maintain infrastructure docs, and configure CDNs for content delivery.