Full Stack Software Engineer

PsyEcology Inc. is a leader in healthcare technology, dedicated to improving mental health services through innovative, user-centric software solutions. Our mission is to empower healthcare providers and patients by bridging gaps in care with cutting-edge tools that foster better clinical outcomes.

PsyEcology Inc. is building agentic AI infrastructure for mental health, focused on optimizing therapist–client matching, personalized treatment pathways, and scalable psychological care delivery. By combining clinical psychology, behavioral science, psychoanalytic insight, and agentic AI systems, PsyEcology aims to make mental healthcare more accessible, adaptive, and effective.

Based in Los Gatos, California, PsyEcology Inc. is committed to transforming the future of mental healthcare through intelligent, human-centered technology.

We are seeking a talented Full Stack Software Engineer with a strong eye for UI/UX design and hands-on experience building scalable web applications and cloud-native systems. The ideal candidate is passionate about creating intuitive user experiences while also being comfortable working across backend services, APIs, Kubernetes infrastructure, networking components, and modern real-time chat applications.

• Design, develop, and maintain modern web applications using JavaScript, React, HTML, and CSS.

• Build responsive, intuitive, and highly interactive chat and messaging interfaces.

• Develop real-time communication features such as chat systems, notifications, streaming updates, presence indicators, and conversation management.

• Collaborate with product managers, designers, and engineers to deliver clean, user-friendly experiences.

• Build reusable frontend components and scalable backend APIs/services.

• Develop and integrate RESTful and/or GraphQL APIs.

• Deploy, monitor, and maintain applications in Kubernetes environments.

• Troubleshoot networking, performance, latency, and scalability issues across distributed systems.

• Work with WebSockets, streaming APIs, or real-time event-driven architectures.

• Optimize applications for speed, reliability, accessibility, and user experience.

• Participate in architecture discussions, code reviews, and technical planning.

• Ensure security, maintainability, and high code quality standards across the stack.

• Strong experience in full stack web development.

• Proficiency in JavaScript, React, HTML5, and CSS3.

• Experience building chat, messaging, or real-time collaborative applications.

• Strong understanding of UI/UX principles, responsive design, and frontend architecture.

• Experience with WebSockets, real-time APIs, SSE, or event-driven systems.

• Experience building and consuming RESTful and/or GraphQL APIs.

• Hands-on experience with Kubernetes and containerized deployments.

• Solid understanding of networking fundamentals, including HTTP, DNS, load balancing, and microservice communication.

• Experience with version control systems such as Git.

• Familiarity with CI/CD pipelines and modern development workflows.

• Strong problem-solving and debugging skills.

• Experience with TypeScript, Node.js, or Python backend frameworks.

• Familiarity with cloud platforms such as Amazon Web Services, Microsoft, or Google.

• Experience integrating AI-powered conversational interfaces or LLM-based chat systems.

• Familiarity with authentication systems, user session management, and real-time scaling strategies.

• Knowledge of microservices architecture and distributed systems.

• Experience with observability, monitoring, and logging tools.

• Experience building polished conversational UI/UX experiences.

• Knowledge of accessibility and usability best practices.

• Exposure to DevOps, infrastructure automation, or service mesh technologies.

• Contributions to open-source or personal technical projects.

• A builder who cares equally about user experience and system reliability.

• Someone comfortable moving between frontend design, backend APIs, infrastructure, and real-time systems.

• Strong communication and collaboration skills.

• Ability to work independently in fast-paced engineering environments.

This is a fully remote role within an early-stage, fast-moving startup environment.

Please email your CV to Ayelet@psyecology.ai