Jobs at ADVATIX

Own and deliver full-stack product features from problem definition through production using TypeScript, React, Next.js, Node.js, and Postgres. Collaborate with engineers, designers, program leads, and non-technical stakeholders to define solutions, write technical specifications, make tradeoffs, participate in code reviews and on-call rotations, and improve platform operations and safety tooling.

Own end-to-end technical delivery for wellness clients, from pre-sales demonstrations and requirements gathering through production deployment. Build AI agents, insight products, data ingestion and ETL pipelines, and customer-facing software. Design system architectures, integrate complex client data sources, lead technical working sessions, communicate tradeoffs, and influence product direction through customer deployment learnings.

Design and scale backend infrastructure for conversational AI, including databases, query and retrieval systems, distributed services, and real-time voice-agent orchestration. Own TypeScript/Node.js and Python services using cloud-native technologies, improve observability and reliability, and scale simulation infrastructure to over 200,000 concurrent calls. Diagnose performance bottlenecks, maintain high availability, and rapidly ship production solutions in a startup environment.

Build and maintain scalable Java backend services and APIs on AWS. Responsibilities include designing concurrent systems, debugging complex issues, optimizing performance, translating business requirements into technical solutions, collaborating cross-functionally, and owning projects in a fast-paced startup environment.

Senior Software Engineer responsible for designing and implementing polished frontend experiences from Figma concepts through production React and TypeScript code. The role includes building scalable design systems and component libraries, ensuring accessibility and responsive design, contributing to frontend architecture, and translating complex mortgage workflows into intuitive interfaces. The engineer will collaborate across Product, Design, and Engineering while owning projects throughout the product lifecycle.

Own end-to-end technical delivery of AI agent deployments for enterprise healthcare and life sciences clients. Responsibilities include pre-sales demonstrations, requirements gathering, system architecture, production software development, integrations with healthcare platforms, cloud infrastructure, data and machine learning pipelines, deployment, and post-launch support. The role requires executive-level client communication, independent architectural decision-making, and collaboration with product and engineering teams to create reusable platform capabilities.

Lead the architecture and implementation of enterprise-scale GCP data ecosystems, including PB-scale platforms and AWS-to-GCP migrations. Establish data platform roadmaps, self-service architectures, governance, security, quality, and Infrastructure as Code standards. Architect solutions using GCP data, analytics, AI, streaming, and containerization technologies. Lead cross-functional engineering teams, mentor staff, advise executives, manage technical risks, and communicate the business value of data initiatives.

Leads a 35-person mechanical engineering discipline, overseeing engineering operations, programs, project delivery, staff development, client relationships, business development, financial performance, and commercial growth. Manages 6–7 direct reports, supports proposals and contracts, guides program managers, ensures project quality and timelines, and drives continuous improvement. The role requires extensive A/E/C experience, a Professional Engineer license, commercial multi-site program expertise, and strong leadership and client-facing skills.