Top Tech Jobs & Startup Jobs

Design, build, and operate distributed backend systems using Go, TypeScript, GraphQL, Kafka, AWS, and Kubernetes. Lead modernization, migration, and event-streaming initiatives; own reliability, observability, CI/CD, and production operations; consult with enterprise clients on architecture and delivery; and contribute to technical training, conferences, and community activities.

Senior full‑stack engineer building AI-enabled web and mobile applications. Responsibilities include frontend and backend architecture, AI-assisted feature development, microservices/serverless design, deployment and CI/CD, infrastructure best practices, codebase audits, performance fixes, client consulting, and mentoring. Work leverages AI tooling and involves occasional travel and platform/devops collaboration.

Build production-ready intelligent automations and agentic AI solutions. Full-stack development using TypeScript or Python, LangChain, vector DBs, RAG, and tool-calling. Collaborate with clients, ensure maintainable, tested, scalable deployments, CI/CD, observability, and model fine-tuning or deployment.

Build and operate durable, distributed enterprise systems: implement Java services, Temporal workflows, and Kafka pipelines; design and run Kubernetes-native infrastructure on AWS; lead migrations and platform modernization; consult with clients, ensure CI/CD/GitOps delivery, and enable observability and reliability for application teams.

Owner of Avalara's AI workflow platform (starting with n8n): design, deploy, and operate secure, multi‑environment infrastructure with IaC and CI/CD; embed governance, observability, SLOs, and AI‑enhanced operations; create reusable patterns and mentor teams to raise DevOps and AI maturity.

The Full-Stack Applied AI Engineer will design and build AI-enabled products, own delivery from UI to backend, and implement robust systems with a focus on security and reliability, collaborating closely with clients and team members.

As the Lead AI Architect, you'll design and build a workflow automation platform, deploy solutions with AI, and lead client engagements autonomously.

Lead design, deployment, and operation of a secure, enterprise AI workflow platform (starting with n8n). Own infra, CI/CD, IaC, Kubernetes, observability, security, and governance. Define SLOs, reusable patterns, and guardrails; mentor teams and embed AI into operations to improve reliability, automation delivery, and platform maturity.

Design and build secure, scalable enterprise automation using n8n and related platforms. Implement AI-enabled workflows, API-first and event-driven integrations, CI/CD, observability, governance, and monitoring. Lead architecture and reviews, define standards and templates, mentor teams, and measure impact via automation metrics.

Lead design and engineering of enterprise AI-powered automation using n8n as an orchestration platform. Build scalable, secure API-first and event-driven integrations, AI-enabled workflows and agents, CI/CD and governance, observability, and reusable automation frameworks. Provide technical leadership, mentor engineers, and drive platform standards and operational excellence.