Build and operate full-stack web applications and backend services for real-time AI calling workflows. Design, implement, deploy, and monitor frontend components, REST and real-time backend services, databases, background processing, CI/CD, and cloud infrastructure. Integrate telephony, AI, payment, and third-party APIs. Own features across planning, implementation, testing, deployment, monitoring, and maintenance while improving performance, reliability, security, and operational processes.
This is a remote position.
We are seeking a highly capable Full-Stack Software Engineer with experience in frontend development, backend engineering, cloud infrastructure, and DevOps.
You will help design, build, deploy, and operate production systems supporting real-time AI calling workflows. This is a hands-on role for someone comfortable moving across the stack, taking ownership of features from initial design through deployment, monitoring, and ongoing improvement.
The ideal candidate has strong software-engineering fundamentals, understands modern web and cloud architecture, and is comfortable working in an early-stage startup where priorities evolve quickly.
Responsibilities
Frontend Development
- Build responsive, intuitive, and production-quality web applications.
- Translate product designs and user workflows into reusable frontend components.
- Develop dashboards for users, administrators, organizations, subscriptions, tasks, call history, and account management.
- Integrate frontend applications with REST APIs, WebSockets, and real-time backend services.
- Implement authentication, authorization, role-based access, and secure session management.
- Improve application performance, accessibility, usability, and responsiveness across devices.
- Collaborate with designers and product stakeholders to refine user experiences.
- Write maintainable, well-tested frontend code.
Backend Development
- Design, build, and maintain backend services using Python and Django or comparable frameworks.
- Develop secure and scalable REST APIs and real-time service integrations.
- Build systems for workflow orchestration, task execution, call management, user management, billing, subscriptions, and organizational administration.
- Integrate telephony, speech recognition, text-to-speech, AI models, payment systems, email services, and other third-party APIs.
- Design and optimize PostgreSQL database schemas, queries, migrations, and data-access patterns.
- Build asynchronous and background-processing systems using technologies such as Celery, Redis, queues, and event-driven services.
- Implement logging, audit trails, permissions, data protection, and operational controls.
- Improve the performance, scalability, reliability, and fault tolerance of backend services.
- Write unit, integration, and end-to-end tests.
DevOps and Cloud Infrastructure
- Build and maintain reliable development, staging, and production environments.
- Containerize applications and services using Docker.
- Design and manage CI/CD pipelines for automated testing, builds, deployments, and rollbacks.
- Deploy and operate services on AWS, Google Cloud, Azure, Cloudflare, or comparable cloud platforms.
- Configure cloud networking, DNS, SSL certificates, load balancing, secrets, storage, databases, and access controls.
- Implement infrastructure-as-code using Terraform, Pulumi, CloudFormation, or similar tools.
- Establish application monitoring, centralized logging, alerting, error tracking, and performance observability.
- Improve system availability, deployment safety, disaster recovery, backup procedures, and incident response.
- Identify infrastructure bottlenecks and optimize cloud performance and cost.
- Apply security best practices across applications, infrastructure, dependencies, and deployment pipelines.
Engineering Ownership
- Own features throughout their complete lifecycle: architecture, implementation, testing, deployment, monitoring, and maintenance.
- Participate in architectural decisions and technical planning.
- Investigate production issues and implement durable solutions rather than temporary fixes.
- Review code and help establish engineering standards and documentation.
- Work closely with product, design, AI, and business teams.
- Communicate progress, technical tradeoffs, risks, and dependencies clearly.
- Help improve development processes as the engineering organization grows.
Requirements
- Strong professional experience in full-stack software development.
- Advanced proficiency in Python and experience with Django, Django REST Framework, FastAPI, Flask, or a comparable backend framework.
- Strong experience with JavaScript or TypeScript.
- Experience with React, Next.js, Vue, Angular, or another modern frontend framework.
- Strong understanding of REST APIs, client-server architecture, authentication, authorization, and secure API design.
- Experience with PostgreSQL or another relational database.
- Experience with background jobs, asynchronous processing, message queues, or event-driven systems.
- Practical experience with Docker and cloud-based application deployment.
- Experience building or maintaining CI/CD pipelines.
- Familiarity with Linux, networking, DNS, HTTPS, cloud security, and production troubleshooting.
- Strong knowledge of software architecture, testing, version control, and code-review practices.
- Ability to write clean, maintainable, testable, and well-documented code.
- Ability to work independently and take ownership in a fast-moving startup environment.
- Strong written and verbal communication skills.
Preferred Qualifications
- Experience with Celery, Redis, RabbitMQ, Kafka, or similar technologies.
- Experience with WebSockets, streaming services, or real-time applications.
- Experience with telephony platforms such as Twilio, Telnyx, Cisco, Zoom Phone, or SIP-based systems.
- Experience integrating ASR, TTS, LLM, AI-agent, or machine-learning services.
- Experience with Kubernetes or managed container-orchestration platforms.
- Experience with Terraform or another infrastructure-as-code framework.
- Experience with AWS, Google Cloud, Azure, Cloudflare, or NVIDIA infrastructure.
- Experience implementing monitoring with tools such as Datadog, Grafana, Prometheus, Sentry, or OpenTelemetry.
- Experience with security-sensitive, healthcare, financial, telecommunications, or regulated applications.
- Familiarity with privacy, auditability, encryption, secure credential management, and role-based access control.
- Experience building SaaS products with organization management, subscriptions, billing, permissions, and administrative dashboards.
- Previous experience in an early-stage startup.
Technology Environment
Our technology environment may include:
- Python, Django, and Django REST Framework
- TypeScript, React, and Next.js
- PostgreSQL, Redis, and Celery
- REST APIs, WebSockets, and event-driven services
- Docker and cloud-based infrastructure
- GitHub Actions or comparable CI/CD platforms
- AWS, Google Cloud, Cloudflare, NVIDIA, and third-party AI services
- Telephony, ASR, TTS, and real-time AI integrations
- Monitoring, logging, alerting, and infrastructure-as-code tools
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