Role Introduction

We’re hiring a skilled Backend Engineer (Lead) to architect, build, and scale the backbone of our

voice AI SaaS platform and internal PaaS solutions. You will create robust, secure, and scalable

server-side systems that handle real-time voice data, WebRTC interactions, and SIP integrations

for enterprise clients. With a multi-tenant, high-traffic environment, our platform needs to be

performant, fault-tolerant, and flexible enough to adapt to customer-specific on-prem deployments.

Responsibilities

• PaaS & Infrastructure
• Design and maintain the core Platform-as-a-Service (PaaS) that supports CozmoS AI’s voice
  
  

applications and microservices.

• Oversee deployment strategies that empower internal and external teams to build on top of our
  
  

platform with minimal friction.

• Real-Time Communication (WebRTC & SIP)
• Integrate and optimize WebRTC and SIP (Session Initiation Protocol) services to enable
  
  

real-time audio streaming, calls, and other voice features.

• Implement signaling, session management, and NAT traversal solutions for voice
  
  

communication, ensuring low latency and high availability.

• Multi-Tenant Architecture
• Develop a highly scalable multi-tenant platform with strict data isolation and resource
  
  

partitioning to support enterprise customers.

• Work closely with DevOps to ensure efficient resource utilization, especially for GPU-heavy
  
  

voice/AI workloads.

• Microservices & API Development- Design and implement backend microservices that power CozmoX AI’s features, focusing on
  
  

resilience, observability, and performance.

• Create and maintain secure, high-throughput REST/GraphQL APIs or SDKs that serve both
  
  

internal teams and external clients.

• DevOps & CI/CD
• Own the end-to-end delivery process: automated testing, CI/CD pipelines, infrastructure as
  
  

code (Terraform/CloudFormation), and secret management.

• Containerize and orchestrate services with Docker/Kubernetes, handling cloud deployments
  
  

and on-prem setups for enterprise customers.

• Observability & Performance
• Set up comprehensive logging, monitoring, and alerting for real-time systems to ensure smooth
  
  

call flows and rapid troubleshooting.

• Continuously optimize server and network performance, focusing on minimizing latency for
  
  

real-time interactions.

• Security & Compliance
• Implement best-in-class security practices (encryption at rest/in transit, authentication,
  
  

authorization) in a multi-tenant environment.

• Ensure compliance with relevant data protection and privacy standards required by enterprise
  
  

customers.

• Collaboration & Leadership
• Collaborate with front-end, AI/ML teams, and product stakeholders to align on requirements,
  
  

APIs, and architecture decisions.

• Mentor junior engineers, guide best practices, and drive architectural discussions for future
  
  

product roadmap.

Qualifications

Professional Experience

• 5+ years of backend development experience, with a proven track record in building
  
  

high-availability, large-scale systems.

• Demonstrable exposure to real-time communication protocols and tools (WebRTC, SIP, RTP,
  
  

STUN/TURN, etc.).

• Experience with multi-tenant SaaS or PaaS offerings, ensuring data isolation and robust
  
  

partitioning.

Technical Expertise

• Proficiency in one or more backend languages (Python, Node.js, Go, Java) and frameworks.
• Hands-on experience with microservices, containerization (Docker), and orchestration
  
  

(Kubernetes) in production.

• Strong DevOps fundamentals: CI/CD, Infrastructure as Code (Terraform, CloudFormation),
  
  

config/secret management.

• Familiarity with call signaling, session management, and load balancing for RTC or VoIP
  
  

systems.

• Understanding of enterprise-level security practices, authentication mechanisms (OAuth, SSO),
  
  

and compliance requirements.

Cloud & On-Prem Deployment- Experience deploying services in public cloud environments (AWS, GCP, or Azure) and

on-premises.

• Knowledge of implementing robust logging and monitoring stacks (ELK, Prometheus, Grafana)
  
  

for production systems.

Preferred Skills

• Voice & AI: Knowledge of voice technology stacks, SIP trunking, telephony infrastructure, and
  
  

how they integrate with AI/ML pipelines.

• Scalability & Performance: Demonstrated ability to handle high traffic and low-latency
  
  

demands in RTC contexts.

• Database & Storage: Working knowledge of both SQL and NoSQL databases, caching layers
  
  

(Redis, Memcached), and data partitioning strategies.

• Leadership: Prior experience in leading or mentoring a small engineering team, driving
  
  

architectural decisions, and influencing product direction.

• Open Source: Contributions to open-source RTC or backend frameworks; interest in staying
  
  

on top of emerging backend/telephony trends.